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ORCID17th ISBI 2020: Iowa City, IA, USA
- 17th IEEE International Symposium on Biomedical Imaging, ISBI 2020, Iowa City, IA, USA, April 3-7, 2020. IEEE 2020, ISBN 978-1-5386-9330-8
- Mohammad Farazi, Liang Zhan, Natasha Leporé, Paul M. Thompson
, Yalin Wang:
A Univariate Persistent Brain Network Feature Based on the Aggregated Cost of Cycles from the Nested Filtration Networks. 1-5 - Chaoyu Chen, Xin Yang, Ruobing Huang, Wenlong Shi, Shengfeng Liu, Mingrong Lin, Yuhao Huang, Yong Yang, Yuanji Zhang, Huanjia Luo, Yankai Huang, Yi Xiong, Dong Ni:
Region Proposal Network with Graph Prior and Iou-Balance Loss for Landmark Detection in 3D Ultrasound. 1-5 - Xin Zhang, Xinyao Ding, Zhengwang Wu, Jing Xia, Hao Ni, Xiangmin Xu, Lufan Liao, Li Wang, Gang Li:
Siamese Verification Framework for Autism Identification During Infancy Using Cortical Path Signature Features. 1-4 - Sheng He, Randy L. Gollub, Shawn N. Murphy, Juan David Perez, Sanjay Prabhu, Rudolph Pienaar, Richard L. Robertson, Patricia Ellen Grant, Yangming Ou:
Brain Age Estimation Using LSTM on Children's Brain MRI. 1-4 - Makena Low, Victor Huang, Priyanka Raina:
Automating Vitiligo Skin Lesion Segmentation Using Convolutional Neural Networks. 1-4 - Julip Jung, Helen Hong, Hansang Lee, Sung Il Hwang, Hak Jong Lee:
Uni- and Multi-Modal Radiomic Features for the Predicting Prostate Cancer Aggressiveness. 1-4 - Ziyi Huang, Yu Gan, Theresa Lye, Darnel Theagene, Spandana Chintapalli, Simeran Virdi, Andrew Laine, Elsa D. Angelini, Christine P. Hendon:
Segmentation and Uncertainty Measures of Cardiac Substrates within Optical Coherence Tomography Images via Convolutional Neural Networks. 1-4 - Ben A. Duffy, Arthur W. Toga, Hosung Kim:
Gradient Artifact Correction for Simultaneous EEG- fMRI using Denoising Autoencoders. 1-4 - Yongtao Zhang, Baiying Lei, Chao Fu, Jie Du, Xinjian Zhu, Xiaowei Han, Lei Du, Wenwen Gao, Tianfu Wang, Guolin Ma:
HBNet: Hybrid Blocks Network for Segmentation of Gastric Tumor from Ordinary CT Images. 1-4 - Yu Guo, Pierre Decazes, Stéphanie Becker, Hua Li, Su Ruan:
Deep Disentangled Representation Learning of Pet Images for Lymphoma Outcome Prediction. 1-4 - Alakh Desai, Ruchi Chauhan, Jayanthi Sivaswamy:
Image Segmentation Using Hybrid Representations. 1-4 - Ramtin Gharleghi, Gihan Samarasinghe, Arcot Sowmya, Susann Beier:
Deep Learning for Time Averaged Wall Shear Stress Prediction in Left Main Coronary Bifurcations. 1-4 - Alexei Goun:
Cramer Rao Inequality, Cauchy-Binet Representation and Structural Optimization of Fluorescence Unmixing Experiment. 1-4 - Shuo Han, Soonam Lee, Alain Chen, Changye Yang, Paul Salama, Kenneth W. Dunn, Edward J. Delp:
Three Dimensional Nuclei Segmentation and Classification of Fluorescence Microscopy Images. 1-5 - Nicholas L. Turner, Kisuk Lee, Ran Lu, Jingpeng Wu, Dodam Ih, H. Sebastian Seung:
Synaptic Partner Assignment Using Attentional Voxel Association Networks. 1-5 - Zaimin Xia, Guanghui Yue, Yanwu Xu, Chiyu Feng, Mengya Yang, Tianfu Wang, Baiying Lei:
A Novel End-to-End Hybrid Network for Alzheimer's Disease Detection Using 3D CNN and 3D CLSTM. 1-4 - Xinzhen Zhang, Yufu Zhou, Weikang Zhang, Jianqi Sun, Jun Zhao:
Adaptive Prior Patch Size Based Sparse-View CT Reconstruction Algorithm. 1-4 - Nicha C. Dvornek, Pamela Ventola, James S. Duncan:
Estimating Reproducible Functional Networks Associated with Task Dynamics Using Unsupervised LSTMS. 1-4 - Shen Zhao, Lee C. Potter, Kiryung Lee, Rizwan Ahmad:
Convolutional Framework for Accelerated Magnetic Resonance Imaging. 1-4 - Leo Brueggeman, Taylor R. Thomas, Tanner Koomar, Brady Hoskins, Jacob J. Michaelson:
Sex Differences in the Brain: Divergent Results from Traditional Machine Learning and Convolutional Networks. 1-4 - Lucas Porto, Robert Rohling:
Improving Interpretability of 2-D Ultrasound of the Lumbar Spine. 1-5 - Shanlin Sun, Yang Liu, Narisu Bai, Hao Tang, Xuming Chen, Qian Huang, Yong Liu, Xiaohui Xie:
Attentionanatomy: A Unified Framework for Whole-Body Organs at Risk Segmentation Using Multiple Partially Annotated Datasets. 1-5 - Rodrigo A. Lobos, Richard M. Leahy, Justin P. Haldar:
Autoregression and Structured Low-Rank Modeling of Sinograms. 1-4 - Zhiqi Chen, Yao Wang, Gadi Wollstein, María de los Angeles Ramos-Cadena, Joel S. Schuman, Hiroshi Ishikawa:
Macular GCIPL Thickness Map Prediction via Time-Aware Convolutional LSTM. 1-5 - Haotian Wang, Min Xian, Aleksandar Vakanski:
Bending Loss Regularized Network for Nuclei Segmentation in Histopathology Images. 1-5 - Gare Suman, Abha Saxena, Lopamudra Giri:
Confocal Imaging of Intercellular Calcium in HeLa Cells for Monitoring Drug-Response: Biophysical Framework for Visualization of the Time-Lapse Images. 1-4 - Mohammad Hamghalam, Tianfu Wang, Jie Du, Baiying Lei:
Transforming Intensity Distribution of Brain Lesions Via Conditional Gans for Segmentation. 1-4 - Weixian Lei, Rong Zhang, Yang Yang, Ruixuan Wang, Wei-Shi Zheng:
Class-Center Involved Triplet Loss for Skin Disease Classification on Imbalanced Data. 1-5 - Zhenda Xu, Yong Zhang, Chunyang Fu, Limin Liu, Cong Chen, Wenchao Xu, Song Guo:
Back Shape Measurement and Three-Dimensional Reconstruction of Spinal Shape Using One Kinect Sensor. 1-5 - Dong Yang, Qiaoying Huang, Mikael Kanski, Subhi Al'Aref, Leon Axel, Dimitris N. Metaxas:
Mri-Based Characterization of Left Ventricle Dyssynchrony with Correlation to Crt Outcomes. 1-4 - Cheng Li, Jin Ye, Junjun He, Shanshan Wang, Yu Qiao, Lixu Gu:
Dense Correlation Network for Automated Multi-Label Ocular Disease Detection with Paired Color Fundus Photographs. 1-4 - Bryar Shareef, Min Xian, Aleksandar Vakanski:
Stan: Small Tumor-Aware Network for Breast Ultrasound Image Segmentation. 1-5 - Mohamad Ghanoum, Asem M. Ali, Salwa Elshazly, Islam Alkabbany, Aly A. Farag:
Panoramic View of Human Jaw Under Ambiguity Intraoral Camera Movement. 1-4 - Dongdong Liu, Yanwu Xu, Ahmed Elazab, Peng Yang, Wei Wang, Tianfu Wang, Baiying Lei:
Longitudinal Analysis of Mild Cognitive Impairment via Sparse Smooth Network and Attention-Based Stacked Bi-Directional Long-Short Term Memory. 1-4 - Chong Chen, Yingmin Liu, Orlando P. Simonetti, Rizwan Ahmad:
Automatic Extraction and Sign Determination of Respiratory Signal in Real-Time Cardiac Magnetic Resonance Imaging. 1-4 - Yahang Li, Zepeng Wang, Fan Lam:
Separation of Metabolite and Macromolecule Signals for 1 H-Mrsi Using Learned Nonlinear Models. 1-4 - Xiangshun Liu, Minghui Zhang, Qiegen Liu, Taohui Xiao, Hairong Zheng, Leslie Ying, Shanshan Wang:
Multi-Contrast Mr Reconstruction with Enhanced Denoising Autoencoder Prior Learning. 1-5 - Jian Li, Anand A. Joshi, Richard M. Leahy:
A Network-Based Approach to Study of Adhd Using Tensor Decomposition of Resting State Fmri Data. 1-5 - Fidel A. Guerrero-Peña, Pedro D. Marrero-Fernández, Paul T. Tarr, Tsang Ing Ren, Elliot M. Meyerowitz, Alexandre Cunha:
J Regularization Improves Imbalanced Multiclass Segmentation. 1-5 - Nishant Kumar, Nico Hoffmann, Matthias Kirsch, Stefan Gumhold:
Visualisation of Medical Image Fusion and Translation for Accurate Diagnosis of High Grade Gliomas. 1-5 - Zachary Augenfeld, Ming De Lin, Julius Chapiro, James S. Duncan:
Automatic Multimodal Registration via Intraprocedural Cone-Beam CT Segmentation using MRI Distance Maps. 1-4 - Zhonghang Zhu, Xin Ding, Defu Zhang, Liansheng Wang:
Weakly-Supervised Balanced Attention Network for Gastric Pathology Image Localization and Classification. 1-4 - Yufan Zhou, Zheshuo Li, Chunwei Ma, Changyou Chen, Mingchen Gao, Hong Zhu, Jinhui Xu:
Weakly-Supervised Brain Tumor Classification with Global Diagnosis Label. 1-5 - Yuyuan Liu, Yu Tian, Gabriel Maicas, Leonardo Zorron Cheng Tao Pu, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro:
Photoshopping Colonoscopy Video Frames. 1-5 - Benjamin Leinwand, Guorong Wu, Vladas Pipiras:
Characterizing Frequency-Selective Network Vulnerability for Alzheimer's Disease by Identifying Critical Harmonic Patterns. 1-4 - Seyhmus Guler, Burak Erem, Alexander Li Cohen, Onur Afacan, Simon K. Warfield:
Dynamic Missing-Data Completion Reduces Leakage of Motion Artifact Caused by Temporal Filtering that Remains After Scrubbing. 1-4 - Wen Zhang, Yalin Wang:
Deep Multimodal Brain Network Learning for Joint Analysis of Structural Morphometry and Functional Connectivity. 1-5 - Yuxi Zhang, Risheng Liu, Zi Li, Zhu Liu, Xin Fan, Zhongxuan Luo:
Coupling Principled Refinement with Bi-Directional Deep Estimation for Robust Deformable 3D Medical Image Registration. 86-90 - Yudi Sang, Dan Ruan:
Enhanced Image Registration With a Network Paradigm and Incorporation of a Deformation Representation Model. 91-94 - Jacob C. Reinhold, Yufan He, Shizhong Han, Yunqiang Chen, Dashan Gao, Junghoon Lee, Jerry L. Prince, Aaron Carass:
Validating Uncertainty in Medical Image Translation. 95-98 - Yungeng Zhang, Yuru Pei, Si Chen, Yuke Guo, Gengyu Ma, Tianmin Xu, Hongbin Zha:
Volumetric Registration-Based Cleft Volume Estimation of Alveolar Cleft Grafting Procedures. 99-103 - Eléonore Dufresne, Denis Fortun, Babloo Kumar, Stéphane Kremer, Vincent Noblet:
Joint Registration and Change Detection in Longitudinal Brain MRI. 104-108 - Chi Nok Enoch Kan, Najibakram Maheenaboobacker, Dong Hye Ye:
Age-Conditioned Synthesis of Pediatric Computed Tomography with Auxiliary Classifier Generative Adversarial Networks. 109-112 - Sadhana Ravikumar, Laura E. M. Wisse, Ranjit Ittyerah, Sydney Lim, Madigan Lavery, Long Xie, John L. Robinson, Theresa Schuck, Murray Grossman, Edward B. Lee, M. Dylan Tisdall, Karthik Prabhakaran, John A. Detre, Sandhitsu R. Das, Gabor Mizsei, Emilio Artacho-Pérula, Maria Mercedes Iñiguez de Onzoño Martin, María del Mar Arroyo Jiménez, Mónica Muñoz López, Francisco Javier Molina Romero, Maria del Pilar Marcos Rabal, David J. Irwin, John Q. Trojanowski, David A. Wolk, Ricardo Insausti, Paul A. Yushkevich:
Building an Ex Vivo Atlas of the Earliest Brain Regions Affected by Alzheimer's Disease Pathology. 113-117 - Danfeng Guo, Haihua Wei, Pengfei Zhao, Yue Pan, Hao-Yu Yang, Xin Wang, Junjie Bai, Kunlin Cao, Qi Song, Jun Xia, Feng Gao, Youbing Yin:
Simultaneous Classification and Segmentation of Intracranial Hemorrhage Using a Fully Convolutional Neural Network. 118-121 - Tongda Xu, Ziming Qiu, William Das, Chuiyu Wang, Jack Langerman, Nitin Nair, Orlando Aristizábal, Jonathan Mamou, Daniel H. Turnbull, Jeffrey A. Ketterling, Yao Wang:
Deep Mouse: An End-to-End Auto-Context Refinement Framework for Brain Ventricle & Body Segmentation in Embryonic Mice Ultrasound Volumes. 122-126 - Nazanin Mohammadi Sepahvand, Douglas L. Arnold, Tal Arbel:
CNN Detection of New and Enlarging Multiple Sclerosis Lesions from Longitudinal Mri Using Subtraction Images. 127-130 - Yeeleng Scott Vang, Yingxin Cao, Peter D. Chang, Daniel S. Chow, Alexander Ulrich Brandt, Friedemann Paul, Michael Scheel, Xiaohui Xie:
SynergyNet: A Fusion Framework for Multiple Sclerosis Brain MRI Segmentation with Local Refinement. 131-135 - Mahmoud Mostapha, Boris Mailhé, Xiao Chen, Pascal Ceccaldi, Youngjin Yoo, Mariappan S. Nadar:
Braided Networks for Scan-Aware MRI Brain Tissue Segmentation. 136-139 - Jie Wei, Duc Toan Bui, Zhengwang Wu, Li Wang, Yong Xia, Gang Li, Dinggang Shen:
7T Guided 3T Brain Tissue Segmentation Using Cascaded Nested Network. 140-143 - Mo Zhang, Jie Zhao, Xiang Li, Li Zhang, Quanzheng Li:
ASCNET: Adaptive-Scale Convolutional Neural Networks for Multi-Scale Feature Learning. 144-148 - Yuanhao Guo, Fons J. Verbeek, Ge Yang:
Probabilistic Inference for Camera Calibration in Light Microscopy Under Circular Motion. 149-153 - Mangal Prakash, Manan Lalit, Pavel Tomancak, Alexander Krull, Florian Jug:
Fully Unsupervised Probabilistic Noise2Void. 154-158 - Coleman Broaddus, Alexander Krull, Martin Weigert, Uwe Schmidt, Gene Myers:
Removing Structured Noise with Self-Supervised Blind-Spot Networks. 159-163 - Adrian Shajkofci, Michael Liebling:
DeepFocus: A Few-Shot Microscope Slide Auto-Focus Using a Sample Invariant CNN-Based Sharpness Function. 164-168 - Mengran Fan, Tapabrata Chakraborti, Eric I-Chao Chang, Yan Xu, Jens Rittscher:
Fine-Grained Multi-Instance Classification in Microscopy Through Deep Attention. 169-173 - Xuehang Zheng, Saiprasad Ravishankar, Yong Long, Marc Louis Klasky, Brendt Wohlberg:
Two-Layer Residual Sparsifying Transform Learning for Image Reconstruction. 174-177 - Thanh-An Pham, Emmanuel Soubies, Ahmed B. Ayoub, Demetri Psaltis, Michael Unser:
Adaptive Regularization for Three-Dimensional Optical Diffraction Tomography. 182-186 - Frédéric Jolivet, Clarisse Fournier, Michel Garcin, Lenka Zdeborová, Andrea Brambilla:
An Alternating Projection-Image Domains Algorithm for Spectral CT. 187-190 - Naveen Murthy, Jeffrey A. Fessler:
Block Axial Checkerboarding: A Distributed Algorithm for Helical X-Ray CT Reconstruction. 191-194 - Yao Xiao, Keith R. Peters, W. Christopher Fox, John H. Rees, Dhanashree A. Rajderkar, Manuel M. Arreola, Izabella Barreto, Wesley E. Bolch, Ruogu Fang:
Transfer-Gan: Multimodal Ct Image Super-Resolution Via Transfer Generative Adversarial Networks. 195-198 - Thomas Debarre, Benjamin Watts, Benedikt Rösner, Michael Unser:
Hessian Splines for Scanning Transmission X-Ray Microscopy. 199-202 - Vatsal Agarwal, Youbao Tang, Jing Xiao, Ronald M. Summers:
Weakly Supervised Lesion Co-Segmentation on Ct Scans. 203-206 - Wenzhe Wang, Qingyu Song, Ruiwei Feng, Tingting Chen, Jintai Chen, Danny Z. Chen, Jian Wu:
A Fully 3D Cascaded Framework for Pancreas Segmentation. 207-211 - Soumya Gupta, Sharib Ali, Louise Goldsmith, Ben Turney, Jens Rittscher:
MI-UNet: Improved Segmentation in Ureteroscopy. 212-216 - Sukriti Paul, Hanitha Devi Gundabattula, Chandra Sekhar Seelamantula, V. R. Mujeeb, A. S. Prasad:
Fully-Automated Semantic Segmentation of Wireless Capsule Endoscopy Abnormalities. 221-224 - Ruiwei Feng, Biwen Lei, Wenzhe Wang, Tingting Chen, Jintai Chen, Danny Z. Chen, Jian Wu:
SSN: A Stair-Shape Network for Real-Time Polyp Segmentation in Colonoscopy Images. 225-229 - Anton Böhm, Nikolaus Mayer, Thomas Brox:
Diskmask: Focusing Object Features for Accurate Instance Segmentation of Elongated or Overlapping Objects. 230-234 - Jan Hering, Jan Kybic:
Multiple Instance Learning Via Deep Hierarchical Exploration for Histology Image Classification. 235-238 - Jingwen Wang, Richard J. Chen, Ming Y. Lu, Alexander S. Baras, Faisal Mahmood:
Weakly Supervised Prostate Tma Classification Via Graph Convolutional Networks. 239-243 - Dingyi Hu, Yushan Zheng, Haopeng Zhang, Shujiao Sun, Fengying Xie, Jun Shi, Zhiguo Jiang:
Informative Retrieval Framework for Histopathology Whole Slides Images Based on Deep Hashing Network. 244-248 - Philipp Gräbel, Özcan Özkan, Martina Crysandt, Reinhild Herwartz, Melanie Baumann, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof:
Circular Anchors for the Detection of Hematopoietic Cells Using Retinanet. 249-253 - Chaoyang Yan, Jun Xu, Jiawei Xie, Chengfei Cai, Haoda Lu:
Prior-Aware CNN with Multi-Task Learning for Colon Images Analysis. 254-257 - Mike van Zon, Nikolas Stathonikos, Willeke A. M. Blokx, Selim Komina, Sybren L. N. Maas, Josien P. W. Pluim, Paul J. van Diest, Mitko Veta:
Segmentation and Classification of Melanoma and Nevus in Whole Slide Images. 263-266 - Pietro Astolfi, Alessandro De Benedictis, Silvio Sarubbo, Giulia Berto, Emanuele Olivetti, Diego Sona, Paolo Avesani:
A Stem-Based Dissection of Inferior Fronto-Occipital Fasciculus with A Deep Learning Model. 267-270 - Venkateswarlu Gonuguntla, Kalyana C. Veluvolu, Jae-Hun Kim:
Recognition of Event-associated Brain Functional Networks in EEG for Brain Network Based Applications. 271-274 - Mahnaz Ashrafi, Hamid Soltanian-Zadeh:
Association Between Dynamic Functional Connectivity and Intelligence. 275-278 - Chenghao Liu, Fengqian Pang, Yanlin Liu, Kongming Liang, Xiuli Li, Xiangzhu Zeng, Chuyang Ye:
Semi-Supervised Brain Lesion Segmentation Using Training Images with and Without Lesions. 279-282 - Iman Aganj, Aina Frau-Pascual, Juan Eugenio Iglesias, Anastasia Yendiki, Jean C. Augustinack, David H. Salat, Bruce Fischl:
Compensatory Brain Connection Discovery in Alzheimer's Disease. 283-287 - Yurong Chen, Haoteng Tang, Lei Guo, Jamie C. Peven, Heng Huang, Alex D. Leow, Melissa Lamar, Liang Zhan:
A Generalized Framework of Pathlength Associated Community Estimation for Brain Structural Network. 288-291 - Yueting Wang, Defu Yang, Quefeng Li, Daniel Kaufer, Martin Styner, Guorong Wu:
Characterizing the Propagation Pattern of Neurodegeneration in Alzheimer's Disease by Longitudinal Network Analysis. 292-295 - Xiangdong Guo, Haifeng Zhao, Zhenyu Tang:
An Improved Deep Learning Approach for Thyroid Nodule Diagnosis. 296-299 - A. N. Madhavanunni, Mahesh Raveendranatha Panicker:
Directional Beam Focusing Based Dual Apodization Approach for Improved Vector Flow Imaging. 300-303 - Anand R, Arun Kumar Thittai:
Compressed Sensing for Data Reduction in Synthetic Aperture Ultrasound Imaging: A Feasibility Study. 304-307 - Lokesh Basavarajappa, Kenneth Hoyt:
High-Frequency Quantitative Photoacoustic Imaging and Pixel-Level Tissue Classification. 308-311 - Anudeep Vayyeti, Arun Kumar Thittai:
A Filtered Delay Weight Multiply and Sum (F-DwMAS) Beamforming for Ultrasound Imaging: Preliminary Results. 312-315 - Alex Benjamin, Gregory Ely, Jonathan R. Fincke, Brian W. Anthony:
Reflection Ultrasound Tomography Using Localized Freehand Scans. 316-320 - AliArshad Kothawala, Divya Baskaran, Kavitha Arunachalam, Arun Kumar Thittai:
Regularized Kurtosis Imaging and its Comparison with Regularized Log Spectral Difference and Regularized Nakagami Imaging for Microwave Hyperthermia Hotspot Monitoring. 321-324 - Youyi Song, Zhen Yu, Teng Zhou, Jeremy Yuen-Chun Teoh, Baiying Lei, Kup-Sze Choi, Jing Qin:
CNN in CT Image Segmentation: Beyond Loss Function for Exploiting Ground Truth Images. 325-328 - Qin Wang, Weibing Zhao, Ruimao Zhang, Zhen Li, Shuguang Cui:
Progressive Abdominal Segmentation with Adaptively Hard Region Prediction and Feature Enhancement. 329-332 - Xu Yan, Kun Yuan, Weibing Zhao, Sheng Wang, Zhen Li, Shuguang Cui:
An Efficient Hybrid Model for Kidney Tumor Segmentation in CT Images. 333-336 - Jeffrey J. Ma, Ukash Nakarmi, Cedric Yue Sik Kin, Christopher M. Sandino, Joseph Y. Cheng, Ali B. Syed, Peter Wei, John M. Pauly, Shreyas S. Vasanawala:
Diagnostic Image Quality Assessment and Classification in Medical Imaging: Opportunities and Challenges. 337-340 - Xiaoshuai Hou, Chunmei Xie, Fengyi Li, Jiaping Wang, Chuanfeng Lv, Guotong Xie, Yang Nan:
A Triple-Stage Self-Guided Network for Kidney Tumor Segmentation. 341-344 - Nicolas Basty, Yi Liu, Madeleine Cule, E. Louise Thomas, Jimmy D. Bell, Brandon J. Whitcher:
Automated Measurement of Pancreatic Fat and Iron Concentration Using Multi-Echo and T1-Weighted MRI Data. 345-348 - Yixin Wang, Yao Zhang, Li Liu, Cheng Zhong, Jiang Tian, Yang Zhang, Zhongchao Shi, Zhiqiang He:
FGB: Feature Guidance Branch for Organ Detection in Medical Images. 349-353 - Hexin Dong, Fei Yu, Han Jiang, Hua Zhang, Bin Dong, Quanzheng Li, Li Zhang:
Annotation-Free Gliomas Segmentation Based on a Few Labeled General Brain Tumor Images. 354-358 - Jan Hendrik Moltz, Annika Hänsch, Bianca Lassen-Schmidt, Benjamin Haas, A. Genghi, J. Schreier, Tomasz Morgas, Jan Klein:
Learning a Loss Function for Segmentation: A Feasibility Study. 357-360 - Toan Duc Bui, Li Wang, Weili Lin, Gang Li, Dinggang Shen:
6-Month Infant Brain Mri Segmentation Guided by 24-Month Data Using Cycle-Consistent Adversarial Networks. 359-362 - Zhipeng Ding, Xu Han, Marc Niethammer:
Votenet +: An Improved Deep Learning Label Fusion Method for Multi-Atlas Segmentation. 363-367 - Ilya Nelkenbaum, Galia Tsarfaty, Nahum Kiryati, Eli Konen, Arnaldo Mayer:
Automatic Segmentation of White Matter Tracts Using Multiple Brain MRI Sequences. 368-371 - Ran He, Karthik Gopinath, Christian Desrosiers, Herve Lombaert:
Spectral Graph Transformer Networks for Brain Surface Parcellation. 372-376 - Tongxue Zhou, Su Ruan, Yu Guo, Stéphane Canu:
A Multi-Modality Fusion Network Based on Attention Mechanism for Brain Tumor Segmentation. 377-380 - Li Zhao, Xue Feng, Craig H. Meyer, David C. Alsop:
Choroid Plexus Segmentation Using Optimized 3D U-Net. 381-384 - Xuhua Ren, Jiayu Huo, Kai Xuan, Dongming Wei, Lichi Zhang, Qian Wang:
Robust Brain Magnetic Resonance Image Segmentation for Hydrocephalus Patients: Hard and Soft Attention. 385-389 - Ran Wang, Xupeng Chen, Amirhossein Khalilian-Gourtani, Zhaoxi Chen, Leyao Yu, Adeen Flinker, Yao Wang:
Stimulus Speech Decoding from Human Cortex with Generative Adversarial Network Transfer Learning. 390-394 - Taiping Qu, Yangming Yue, Qirui Zhang, Cheng Wang, Zhiqiang Zhang, Guangming Lu, Wei Du, Xiuli Li:
BAENET: A Brain Age Estimation Network with 3D Skipping and Outlier Constraint Loss. 399-403 - Baptiste Couvy-Duchesne, Futao Zhang, Kathryn E. Kemper, Julia Sidorenko, Naomi R. Wray, Peter M. Visscher, Olivier Colliot, Jian Yang:
Linear Mixed Models Minimise False Positive Rate and Enhance Precision of Mass Univariate Vertex-Wise Analyses of Grey-Matter. 404-407 - Lingyan Hao, Shunxing Bao, Yucheng Tang, Riqiang Gao, Prasanna Parvathaneni, Jacob A. Miller, Willa Voorhies, Jewelia Yao, Silvia A. Bunge, Kevin S. Weiner, Bennett A. Landman, Ilwoo Lyu:
Automatic Labeling of Cortical Sulci Using Spherical Convolutional Neural Networks in a Developmental Cohort. 412-415 - Lufan Liao, Xin Zhang, Fenqiang Zhao, Jingjiao Lou, Li Wang, Xiangmin Xu, He Zhang, Gang Li:
Multi-Branch Deformable Convolutional Neural Network with Label Distribution Learning for Fetal Brain Age Prediction. 424-427 - Mangal Prakash, Tim-Oliver Buchholz, Manan Lalit, Pavel Tomancak, Florian Jug, Alexander Krull:
Leveraging Self-supervised Denoising for Image Segmentation. 428-432 - Wei Wei, Marko Rak, Julian Alpers, Christian Hansen:
Towards Fully Automatic 2D Us to 3D CT/MR Registration: A Novel Segmentation-Based Strategy. 433-437 - Minh Nguyen Nhat To, Sandeep Sankineni, Sheng Xu, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Vanessa Moreno, María Merino, Bradford J. Wood, Jin Tae Kwak:
Deep Learning Framework for Epithelium Density Estimation in Prostate Multi-Parametric Magnetic Resonance Imaging. 438-441 - Ophir Yaniv, Orith Portnoy, Amit Talmon, Nahum Kiryati, Eli Konen, Arnaldo Mayer:
V-Net Light - Parameter-Efficient 3-D Convolutional Neural Network for Prostate MRI Segmentation. 442-445 - Cem Emre Akbas, Michal Kozubek:
Condensed U-Net (Cu-Net): An Improved U-Net Architecture for Cell Segmentation Powered by 4x4 Max-Pooling Layers. 446-450 - Ning Zhang, Susan T. Francis, Rayaz A. Malik, Xin Chen:
A Spatially Constrained Deep Convolutional Neural Network for Nerve Fiber Segmentation in Corneal Confocal Microscopic Images Using Inaccurate Annotations. 456-460 - Yilong Li, Zhaoyang Xu, Yaqi Wang, Huiyu Zhou, Qianni Zhang:
SU-Net and DU-Net Fusion for Tumour Segmentation in Histopathology Images. 461-465 - Mingyuan Liu, Yang Yu, Qingcheng Liao, Jicong Zhang:
Histopathologic Cancer Detection by Dense-Attention Network with Incorporation of Prior Knowledge. 466-470 - Eu Wern Teh, Graham W. Taylor:
Learning with Less Data Via Weakly Labeled Patch Classification in Digital Pathology. 471-475 - Shujiao Sun, Huining Yuan, Yushan Zheng, Haopeng Zhang, Zhiguo Jiang:
Cancer Sensitive Cascaded Networks (CSC-Net) for Efficient Histopathology Whole Slide Image Segmentation. 476-480 - Shahira Abousamra, Danielle Fassler, Le Hou, Yuwei Zhang, Rajarsi Gupta, Tahsin M. Kurç, Luisa F. Escobar-Hoyos, Dimitris Samaras, Beatrice Knudson, Kenneth Shroyer, Joel H. Saltz, Chao Chen:
Weakly-Supervised Deep Stain Decomposition for Multiplex IHC Images. 481-485 - Pushpak Pati, Antonio Foncubierta-Rodríguez, Orçun Göksel, Maria Gabrani:
Mitosis Detection Under Limited Annotation: A Joint Learning Approach. 486-489 - Yibao Sun, Xingru Huang, Edgar Giussepi Lopez Molina, Le Dong, Qianni Zhang:
Signet Ring Cells Detection in Histology Images with Similarity Learning. 490-494 - Yang Lei, Viktor Shkolnikov, Daisy Xin:
3D Biological Cell Reconstruction with Multi-View Geometry. 495-498 - Xiaoqing Yang, Junmin Wu, Yan Yin:
Interacting Convolution with Pyramid Structure Network for Automated Segmentation of Cervical Nuclei in Pap Smear Images. 499-502 - Juan E. Ortuño, Lin Lin, María del Pilar Ortega, Jaime García-Villena, Daniel Cuadrado, María Linares, Andrés Santos, María J. Ledesma-Carbayo, Miguel A. Luengo-Oroz:
Stitching Methodology for Whole Slide Low-Cost Robotic Microscope Based on a Smartphone. 503-507 - Long Chen, Martin Strauch, Matthias Daub, Xiaochen Jiang, Marcus Jansen, Hans-Georg Luigs, Susanne Schultz-Kuhlmann, Stefan Krüssel, Dorit Merhof:
A CNN Framework Based on Line Annotations for Detecting Nematodes in Microscopic Images. 508-512 - Alireza Chamanzar, Yao Nie:
Weakly Supervised Multi-Task Learning for Cell Detection and Segmentation. 513-516 - Elisabeth Wetzer, Jo Gay, Hugo Harlin, Joakim Lindblad, Natasa Sladoje:
When Texture Matters: Texture-Focused Cnns Outperform General Data Augmentation and Pretraining in Oral Cancer Detection. 517-521 - Samuël N. Geurts, Nynke Oosterhof, Laura E. Kuil, Herma C. van der Linde, Tjakko J. van Ham, Erik Meijering:
Automated Quantitative Analysis of Microglia in Bright-Field Images of Zebrafish. 522-525 - Yanshuai Tu, Duyan Ta, Zhonglin Lu, Yalin Wang:
Diffeomorphic Smoothing for Retinotopic Mapping. 534-538 - David Abramian, Martin Larsson, Anders Eklund, Hamid Behjat:
Improved Functional MRI Activation Mapping in White Matter Through Diffusion-Adapted Spatial Filtering. 539-543 - Thomas William Arthur Bolton, Dimitri Van De Ville:
Dynamics of Brain Activity Captured by Graph Signal Processing of Neuroimaging Data to Predict Human Behaviour. 549-553 - Ning Qiang, Qinglin Dong, Yifei Sun, Bao Ge, Tianming Liu:
Deep Variational Autoencoder for Modeling Functional Brain Networks and ADHD Identification. 554-557 - Hamid Behjat, Martin Larsson:
Spectral Characterization of Functional MRI Data on Voxel-Resolution Cortical Graphs. 558-562 - Lu Zhang, Li Wang, Dajiang Zhu:
Jointly Analyzing Alzheimer's Disease Related Structure-Function Using Deep Cross-Model Attention Network. 563-567 - Luís A. Vale Silva, Karl Rohr:
Pan-Cancer Prognosis Prediction Using Multimodal Deep Learning. 568-571 - Wei Hao, Nicholas M. Vogt, Zihang Meng, Seong Jae Hwang, Rebecca L. Koscik, Sterling C. Johnson, Barbara B. Bendlin, Vikas Singh:
Learning Amyloid Pathology Progression from Longitudinal PIB-PET Images in Preclinical Alzheimer's Disease. 572-576 - Mohamed S. Elmahdy, Tanuj Ahuja, Uulke A. van der Heide, Marius Staring:
Patient-Specific Finetuning of Deep Learning Models for Adaptive Radiotherapy in Prostate CT. 577-580 - Zachary W. Althof, Sarah E. Gerard, Yue Pan, Gary E. Christensen, Eric A. Hoffman, Joseph M. Reinhardt:
Automatic Quantification of Pulmonary Fissure Integrity: A Repeatability Analysis. 581-585 - Subhradeep Kayal, Florian Dubost, Harm A. W. M. Tiddens, Marleen de Bruijne:
Spectral Data Augmentation Techniques to Quantify Lung Pathology from CT-Images. 586-590 - Bairavi Venkatesh, Tosha Shah, Antong Chen, Soheil Ghafurian:
Restoration of Marker Occluded Hematoxylin and Eosin Stained Whole Slide Histology Images Using Generative Adversarial Networks. 591-595 - Jianing Wang, Jack H. Noble, Benoit M. Dawant:
Metal Artifact Reduction and Intra Cochlear Anatomy Segmentation Inct Images of the Ear With A Multi-Resolution Multi-Task 3D Network. 596-599 - Marta Bianca Maria Ranzini, Irme Groothuis, Kerstin Kläser, M. Jorge Cardoso, Johann Henckel, Sébastien Ourselin, Alister Hart, Marc Modat:
Combining Multimodal Information for Metal Artefact Reduction: An Unsupervised Deep Learning Framework. 600-604 - Herwig Wendt, Mohamad Hourani, Adrian Basarab, Denis Kouamé:
Deconvolution for Improved Multifractal Characterization of Tissues in Ultrasound Imaging. 605-608 - Berk Iskender, Yoram Bresler:
A Physics-Motivated DNN for X-Ray CT Scatter Correction. 609-613 - Jinglan Liu, Yukun Ding, Jinjun Xiong, Qianjun Jia, Meiping Huang, Jian Zhuang, Bike Xie, Chun-Chen Liu, Yiyu Shi:
Multi-Cycle-Consistent Adversarial Networks for CT Image Denoising. 614-618 - Nicolas Ducros, Antonio Lorente Mur, Françoise Peyrin:
A Completion Network for Reconstruction from Compressed Acquisition. 619-623 - Ziyu Shu, Alireza Entezari:
Gram Filtering and Sinogram Interpolation for Pixel-Basis in Parallel-Beam X-Ray CT Reconstruction. 624-628 - Maissa Sghaier, Emilie Chouzenoux, Jean-Christophe Pesquet, Serge Muller:
A New Spatially Adaptive TV Regularization for Digital Breast Tomosynthesis. 629-633 - Sangjoon Park, Jong Chul Ye:
Unsupervised Cone-Beam Artifact Removal Using CycleGAN and Spectral Blending for Adaptive Radiotherapy. 638-641 - Junyoung Kim, Yoseob Han, Jong Chul Ye:
Cone-Angle Artifact Removal Using Differentiated Backprojection Domain Deep Learning. 642-645 - Md. Ashequr Rahman, Richard Laforest, Abhinav K. Jha:
A List-Mode OSEM-Based Attenuation and Scatter Compensation Method for SPECT. 646-650 - Zhipeng Li, Il Yong Chun, Yong Long:
Image-Domain Material Decomposition Using an Iterative Neural Network for Dual-Energy CT. 651-655 - Dufan Wu, Kyung Sang Kim, Quanzheng Li:
Digital Breast Tomosynthesis Reconstruction with Deep Neural Network for Improved Contrast and In-Depth Resolution. 656-659 - Shuai Li, Zhennan Pang, Wenfeng Song, Yuting Guo, Wenzhe You, Aimin Hao, Hong Qin:
Low-Shot Learning of Automatic Dental Plaque Segmentation Based on Local-to-Global Feature Fusion. 664-668 - Diya Sun, Yuru Pei, Guangying Song, Yuke Guo, Gengyu Ma, Tianmin Xu, Hongbin Zha:
Tooth Segmentation and Labeling from Digital Dental Casts. 669-673 - Alejandro Granados, Oeslle Lucena, Vejay Vakharia, Anna Miserocchi, Andrew W. McEvoy, Sjoerd B. Vos, Roman Rodionov, John S. Duncan, Rachel Sparks, Sébastien Ourselin:
Towards Uncertainty Quantification for Electrode Bending Prediction in Stereotactic Neurosurgery. 674-677 - Antong Chen, Jennifer Saouaf, Bo Zhou, Randolph Crawford, Jianda Yuan, Junshui Ma, Richard Baumgartner, Shubing Wang, Gregory Goldmacher:
A Deep Learning-Facilitated Radiomics Solution for the Prediction of Lung Lesion Shrinkage in Non-Small Cell Lung Cancer Trials. 678-682 - Hari Om Aggrawal, Jan Modersitzki:
Accelerating the Registration of Image Sequences by Spatio-Temporal Multilevel Strategies. 683-686 - Yanshuai Tu, Duyan Ta, Xianfeng David Gu, Zhonglin Lu, Yalin Wang:
Diffeomorphic Registration for Retinotopic Mapping Via Quasiconformal Mapping. 687-691 - Jacob J. Peoples, Randy E. Ellis:
A Generalizable Framework for Domain-Specific Nonrigid Registration: Application to Cardiac Ultrasound. 696-699 - Peixin Li, Yuru Pei, Yuke Guo, Gengyu Ma, Tianmin Xu, Hongbin Zha:
Non-Rigid 2D-3D Registration Using Convolutional Autoencoders. 700-704 - Yuhang Sun, Qianjin Feng:
Liver DCE-MRI registration based on sparse recovery de-enhanced curves. 705-708 - Oscar Esteban, Mathias Goncalves, Christopher J. Markiewicz, Satrajit S. Ghosh, Russell A. Poldrack:
Software Tool to Read, Represent, Manipulate, and Apply N-Dimensional Spatial Transforms. 709-712 - Liu Yang, Rudrasis Chakraborty:
An "Augmentation-Free" Rotation Invariant Classification Scheme on Point-Cloud and Its Application to Neuroimaging. 713-716 - Éloïse Grossiord, Laurent Risser, Salim Kanoun, Soléakhéna Ken, François Malgouyres:
Learning Optimal Shape Representations for Multi-Modal Image Registration. 722-725 - Sankaran Iyer, Arcot Sowmya, Alan Blair, Christopher White, Laughlin Dawes, Daniel Aaron Moses:
A Novel Approach to Vertebral Compression Fracture Detection Using Imitation Learning and Patch Based Convolutional Neural Network. 726-730 - Bofei Zhang, Jimin Tan, Kyunghyun Cho, Gregory Chang, Cem M. Deniz:
Attention-based CNN for KL Grade Classification: Data from the Osteoarthritis Initiative. 731-735 - Jingru Yi, Pengxiang Wu, Qiaoying Huang, Hui Qu, Dimitris N. Metaxas:
Vertebra-Focused Landmark Detection for Scoliosis Assessment. 736-740 - Hao Xu, Max Langer, Françoise Peyrin:
Segmentation of Bone Vessels in 3D Micro-CT Images Using the Monogenic Signal Phase and Watershed. 741-744 - Christoph von Tycowicz:
Towards Shape-Based Knee Osteoarthritis Classification Using Graph Convolutional Networks. 750-753 - Yuan Wang, Roozbeh Behroozmand, Lorelei Phillip Johnson, Julius Fridriksson:
Topology Highlights Neural Deficits of Post-Stroke Aphasia Patients. 754-757 - Hongyi Duanmu, Jinkoo Kim, Praitayini Kanakaraj, Andrew Wang, John Joshua, Jun Kong, Fusheng Wang:
Automatic Brain Organ Segmentation with 3D Fully Convolutional Neural Network for Radiation Therapy Treatment Planning. 758-762 - Huimin Huang, Lanfen Lin, Ruofeng Tong, Hongjie Hu, Qiaowei Zhang, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, Jian Wu:
WNET: An End-to-End Atlas-Guided and Boundary-Enhanced Network for Medical Image Segmentation. 763-766 - Gal Cohen, Hayit Greenspan, Jacob Goldberger:
Learning Probabilistic Fusion of Multilabel Lesion Contours. 767-771 - Shen Wang, Kongming Liang, Chengwei Pan, Chuyang Ye, Xiuli Li, Feng Liu, Yizhou Yu, Yizhou Wang:
Segmentation-Based Method Combined with Dynamic Programming for Brain Midline Delineation. 772-776 - Kyung Sang Kim, Inki Hong, Young-Don Son, Jong Hoon Kim, Quanzheng Li:
Residual Simplified Reference Tissue Model with Covariance Estimation. 777-780 - Shahab Aslani, Vittorio Murino, Michael Dayan, Roger C. Tam, Diego Sona, Ghassan Hamarneh:
Scanner Invariant Multiple Sclerosis Lesion Segmentation from MRI. 781-785 - Haleh Akrami, Anand A. Joshi, Jian Li, Sergül Aydöre, Richard M. Leahy:
Brain Lesion Detection Using A Robust Variational Autoencoder and Transfer Learning. 786-790 - Carlos A. Ferreira, Guilherme Aresta, João Pedrosa, João Rebelo, Eduardo Negrão, António Cunha, Isabel Ramos, Aurélio Campilho:
Classification of Lung Nodules in CT Volumes Using the Lung-RADS™ Guidelines with Uncertainty Parameterization. 791-794 - Chunze Lin, Ruixiang Tang, Darryl D. Lin, Langechuan Liu, Jiwen Lu, Yunqiang Chen, Dashan Gao, Jie Zhou:
Deep Feature Disentanglement Learning for Bone Suppression in Chest Radiographs. 795-798 - Joy T. Wu, Yaniv Gur, Alexandros Karargyris, Ali Bin Syed, Orest B. Boyko, Mehdi Moradi, Tanveer F. Syeda-Mahmood:
Automatic Bounding Box Annotation of Chest X-Ray Data for Localization of Abnormalities. 799-803 - Vaishnavi Subramanian, Minh N. Do, Tanveer F. Syeda-Mahmood:
Multimodal Fusion of Imaging and Genomics for Lung Cancer Recurrence Prediction. 804-808 - Yulei Qin, Yun Gu, Hao Zheng, Mingjian Chen, Jie Yang, Yue-Min Zhu:
AirwayNet-SE: A Simple-Yet-Effective Approach to Improve Airway Segmentation Using Context Scale Fusion. 809-813 - Chao Song, Yongyi Yang, Miles N. Wernick, P. Hendrik Pretorius, Michael A. King:
Low-Dose Cardiac-Gated Spect Via a Spatiotemporal Convolutional Neural Network. 814-817 - Matthew Regehr, Andrew Volk, Michelle Noga, Kumaradevan Punithakumar:
Machine Learning and Graph Based Approach to Automatic Right Atrial Segmentation from Magnetic Resonance Imaging. 826-829 - Ruponti Nath, Sean Callahan, Narayana Singam, Marcus F. Stoddard, Amir A. Amini:
Accelerated Phase Contrast Magnetic Resonance Imaging via Deep Learning. 834-838 - Qun Liu, Supratik Mukhopadhyay, Maria-Ximena Bastidas-Rodríguez, Xing Fu, Sushant Sahu, David Burk, Manas Gartia:
A One-Shot Learning Framework for Assessment of Fibrillar Collagen from Second Harmonic Generation Images of an Infarcted Myocardium. 839-843 - Leihao Wei, Yannan Lin, William Hsu:
Using a Generative Adversarial Network for CT Normalization and Its Impact on Radiomic Features. 844-848 - Pierre-Luc Delisle, Benoit Anctil-Robitaille, Christian Desrosiers, Herve Lombaert:
Adversarial Normalization for Multi Domain Image Segmentation. 849-853 - Mohamad Hourani, Adrian Basarab, Oleg V. Michailovich, Giulia Matrone, Alessandro Ramalli, Denis Kouamé, Jean-Yves Tourneret:
Blind Deconvolution of Fundamental and Harmonic Ultrasound Images. 854-857 - Ophir Gozes, Hayit Greenspan:
Bone Structures Extraction and Enhancement in Chest Radiographs via CNN Trained on Synthetic Data. 858-861 - Yu-Jen Chen, Yen-Jung Chang, Shao-Cheng Wen, Yiyu Shi, Xiaowei Xu, Tsung-Yi Ho, Qianjun Jia, Meiping Huang, Jian Zhuang:
Zero-Shot Medical Image Artifact Reduction. 862-866 - Luis Albert Zavala-Mondragón, Fons van der Sommen, Danny Ruijters, Klaus J. Engel, Heidrun Steinhauser, Peter H. N. de With:
Robust Algorithm for Denoising of Photon-Limited Dual-Energy Cone Beam CT Projections. 867-871 - Negin Ghamsarian, Mario Taschwer, Klaus Schoeffmann:
Deblurring Cataract Surgery Videos Using a Multi-Scale Deconvolutional Neural Network. 872-876 - Nicolas Pielawski, Jianjiang Hu, Staffan Strömblad, Carolina Wählby:
In Silico Prediction of Cell Traction Forces. 877-881 - Christian Ritter, A. Newrly, Sandra Schifferdecker, I. Roggenbach, Barbara Müller, Karl Rohr:
Optimizing Particle Detection by Colocalization Analysis in Multi-Channel Fluorescence Microscopy Images. 882-885 - Joseph Boyd, Zelia Gouveia, Franck Perez, Thomas Walter:
Experimentally-Generated Ground Truth for Detecting Cell Types in an Image-Based Immunotherapy Screen. 886-890 - Mariia Dmitrieva, Joël Lefebvre, Kristofer delas Peñas, Helen L. Zenner, Jennifer Richens, Daniel St Johnston, Jens Rittscher:
Short Trajectory Segmentation with 1D UNET Framework: Application to Secretory Vesicle Dynamics. 891-894 - Haoran Sun, Xueqing Liu, Xinyang Feng, Chen Liu, Nanyan Zhu, Sabrina J. Gjerswold-Selleck, Hong-Jian Wei, Pavan S. Upadhyayula, Angeliki Mela, Cheng-Chia Wu, Peter D. Canoll, Andrew F. Laine, J. Thomas Vaughan, Scott A. Small, Jia Guo:
Substituting Gadolinium in Brain MRI Using DeepContrast. 908-912 - Merry P. Mani, Hemant Kumar Aggarwal, Sanjay Ghosh, Mathews Jacob:
Model-Based Deep Learning for Reconstruction of Joint k-q Under-sampled High Resolution Diffusion MRI. 913-916 - Joonhyung Lee, Hyunjong Kim, Hyungjin Chung, Jong Chul Ye:
Deep Learning Fast MRI Using Channel Attention in Magnitude Domain. 917-920 - Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Jutta Ellermann, Kâmil Ugurbil, Mehmet Akçakaya:
Self-Supervised Physics-Based Deep Learning MRI Reconstruction Without Fully-Sampled Data. 921-925 - Hemant Kumar Aggarwal, Mathews Jacob:
Joint Optimization of Sampling Pattern and Priors in Model Based Deep Learning. 926-929 - Sevgi Gokce Kafali, Shu-Fu Shih, Dan Ruan, Holden H. Wu:
Adaptive Locally Low Rank and Sparsity Constrained Reconstruction for Accelerated Dynamic MRI. 930-934 - Kamal Hammouda, Fahmi Khalifa, Ahmed Soliman, Hisham Abdeltawab, Mohammed Ghazal, Mohamed Abou El-Ghar, Ahmed Haddad, Hanan E. Darwish, Robert Keynton, Ayman El-Baz:
A 3D CNN with a Learnable Adaptive Shape Prior for Accurate Segmentation of Bladder Wall Using MR Images. 935-938 - Xiyi Wu, Huai Chen, Yijie Huang, Huayan Guo, Tiantian Qiu, Lisheng Wang:
Center-Sensitive and Boundary-Aware Tooth Instance Segmentation and Classification from Cone-Beam CT. 939-942 - Karsten Roth, Jürgen Hesser, Tomasz K. Konopczynski:
Mask Mining for Improved Liver Lesion Segmentation. 943-947 - Xiaoqian Wang, Qianyi Zhang, Zhen Zhou, Feng Liu, Yizhou Yu, Yizhou Wang, Wen Gao:
Evaluating Multi-Class Segmentation Errors with Anatomical Priors. 953-956 - Yan-Jie Zhou, Xiao-Liang Xie, Zeng-Guang Hou, Gui-Bin Bian, Shi-Qi Liu, Xiao-Hu Zhou:
FRR-NET: Fast Recurrent Residual Networks for Real-Time Catheter Segmentation and Tracking in Endovascular Aneurysm Repair. 961-964 - Sandeep Manandhar, Patrick Bouthemy, Erik Welf, Philippe Roudot, Charles Kervrann:
3D Optical Flow Estimation Combining 3D Census Signature and Total Variation Regularization. 965-968 - Roman Spilger, J. Hellgoth, Ji Young Lee, S. Hänselmann, Dirk-Peter Herten, Ralf Bartenschlager, Karl Rohr:
Tracking of Particles in Fluorescence Microscopy Images Using a Spatial Distance Model for Brownian Motion. 969-972 - Hui Qu, Jingru Yi, Qiaoying Huang, Pengxiang Wu, Dimitris N. Metaxas:
Nuclei Segmentation Using Mixed Points and Masks Selected From Uncertainty. 973-976 - Christian Ritter, Thomas Wollmann, Ji Young Lee, Ralf Bartenschlager, Karl Rohr:
Deep Learning Particle Detection for Probabilistic Tracking in Fluorescence Microscopy Images. 977-980 - Tianyu Ma, Ajay Gupta, Mert R. Sabuncu:
Volumetric Landmark Detection with a Multi-Scale Shift Equivariant Neural Network. 981-985 - Matteo Frigo, Rutger Henri Jacques Fick, Mauro Zucchelli, Samuel Deslauriers-Gauthier, Rachid Deriche:
Multi Tissue Modelling of Diffusion MRI Signal Reveals Volume Fraction Bias. 991-994 - David S. Lee, Kirsten A. Donald, Taykhoom Dalal, Catherine J. Wedderburn, Annerine Roos, Jonathan Ipser, Sivenesi Subramoney, Heather J. Zar, Dan J. Stein, Katherine L. Narr, Gerhard Hellemann, Roger P. Woods, Shantanu H. Joshi:
Brain Network Connectivity from Matching Cortical Feature Densities. 995-998 - Ryan P. Cabeen, Arthur W. Toga:
Reinforcement Tractography: A Hybrid Approach for Robust Segmentation of Complex Fiber Bundles. 999-1003 - Rafat Damseh, Farida Cheriet, Frederic Lesage:
Modeling the Topology of Cerebral Microvessels Via Geometric Graph Contraction. 1004-1008 - Ryan P. Cabeen, Riikka J. Immonen, Neil G. Harris, Olli Gröhn, Gregory Smith, Eppu Manninen, Rachael Garner, Dominique Duncan, Asla Pitkänen, Arthur W. Toga:
A Computational Diffusion MRI Framework for Biomarker Discovery in a Rodent Model of Post-Traumatic Epileptogenesis. 1013-1017 - Claire Cury, Giulia Lioi, Lorraine Perronnet, Anatole Lécuyer, Pierre Maurel, Christian Barillot:
Impact of 1D and 2D Visualisation on EEG-fMRI Neurofeedback Training During a Motor Imagery Task. 1018-1021 - Cooper J. Mellema, Alex Treacher, Kevin P. Nguyen, Albert Montillo:
Architectural configurations, atlas granularity and functional connectivity with diagnostic value in Autism Spectrum Disorder. 1022-1025 - David Abramian, Per Sidén, Hans Knutsson, Mattias Villani, Anders Eklund:
Anatomically Informed Bayesian Spatial Priors for FMRI Analysis. 1026-1030 - Claire Yilin Lin, Douglas C. Noll, Jeffrey A. Fessler:
A Temporal Model for Task-Based Functional MR Images. 1035-1038 - Li Wang, Lu Zhang, Dajiang Zhu:
Learning Latent Structure Over Deep Fusion Model of Mild Cognitive Impairment. 1039-1043 - Vyom Raval, Kevin P. Nguyen, Cooper Mellema, Albert Montillo:
Improved motion correction for functional MRI using an omnibus regression model. 1044-1047 - Abdul Haseeb Ahmed, Hemant Aggarwal, Prashant Nagpal, Mathews Jacob:
Dynamic MRI using deep manifold self-learning. 1052-1055 - Ukash Nakarmi, Joseph Y. Cheng, Edgar P. Rios, Morteza Mardani, John M. Pauly, Leslie Ying, Shreyas S. Vasanawala:
Multi-scale Unrolled Deep Learning Framework for Accelerated Magnetic Resonance Imaging. 1056-1059 - Prachi H. Kulkarni, Kratika Gupta, S. N. Merchant, Suyash P. Awate:
R-FMRI Reconstruction from K-T Undersampled Simultaneous-Multislice (SMS) MRI with Controlled Aliasing: Towards Higher Spatial Resolution. 1060-1064 - Sriprabha Ramanarayanan, Balamurali Murugesan, Keerthi Ram, Mohanasankar Sivaprakasam:
DC-WCNN: A Deep Cascade of Wavelet Based Convolutional Neural Networks for MR Image Reconstruction. 1069-1073 - Stephen Siemonsma, Stanley Kruger, Arvind Balachandrasekaran, Merry Mani, Mathews Jacob:
Multi-Echo Recovery with Field Inhomogeneity Compensation Using Structured Low-Rank Matrix Completion. 1074-1077 - Tanjin Taher Toma, Daniel S. Weller:
Fast Automatic Parameter Selection for MRI Reconstruction. 1078-1081 - Gyutaek Oh, Byeongsu Sim, Jong Chul Ye:
Unsupervised Learning for Compressed Sensing MRI Using Cyclegan. 1082-1085 - Rodney LaLonde, Pujan Kandel, Concetto Spampinato, Michael B. Wallace, Ulas Bagci:
Diagnosing Colorectal Polyps in the Wild with Capsule Networks. 1086-1090 - Kilian Hett, Hans J. Johnson, Pierrick Coupé, Jane S. Paulsen, Jeffrey D. Long, Ipek Oguz:
Tensor-Based Grading: A Novel Patch-Based Grading Approach for the Analysis Of Deformation Fields in Huntington's Disease. 1091-1095 - David Major, Dimitrios Lenis, Maria Wimmer, Gert Sluiter, Astrid Berg, Katja Bühler:
Interpreting Medical Image Classifiers by Optimization Based Counterfactual Impact Analysis. 1096-1100 - Bangming Gong, Lu Shen, Cai Chang, Shichong Zhou, Weijun Zhou, Shuo Li, Jun Shi:
BI-Modal Ultrasound Breast Cancer Diagnosis Via Multi-View Deep Neural Network SVM. 1106-1110 - Hang Min, Devin Wilson, Yinhuang Huang, Siyu Liu, Stuart Crozier, Andrew P. Bradley, Shekhar S. Chandra:
Fully Automatic Computer-aided Mass Detection and Segmentation via Pseudo-color Mammograms and Mask R-CNN. 1111-1115 - Chao Song, Maria V. Sainz de Cea, David Richmond:
Reading Mammography with Multiple Prior Exams. 1116-1119 - Ubaldo Ramon-Julvez, Monica Hernandez, Elvira Mayordomo, Adni:
Analysis of the Influence of Diffeomorphic Normalization in the Prediction of Stable VS Progressive MCI Conversion with Convolutional Neural Networks. 1120-1124 - Satyananda Kashyap, Alexandros Karargyris, Joy T. Wu, Yaniv Gur, Arjun Sharma, Ken C. L. Wong, Mehdi Moradi, Tanveer F. Syeda-Mahmood:
Looking in the Right Place for Anomalies: Explainable Ai Through Automatic Location Learning. 1125-1129 - Hrishikesh Deshpande, Martin Bergtholdt, Shlomo Gotman, Axel Saalbach, Julien Sénégas:
Deep Learning Based Segmentation of Body Parts in CT Localizers and Application to Scan Planning. 1130-1133 - Han Zheng, Hong Shang, Zhongqian Sun, Xinghui Fu, Jianhua Yao, Junzhou Huang:
Supervised Augmentation: Leverage Strong Annotation for Limited Data. 1134-1138 - Francesco Ponzio, Giacomo Deodato, Enrico Macii, Santa Di Cataldo, Elisa Ficarra:
Exploiting "Uncertain" Deep Networks for Data Cleaning in Digital Pathology. 1139-1143 - Mina Jafari, Dorothee Auer, Susan T. Francis, Jonathan M. Garibaldi, Xin Chen:
DRU-Net: An Efficient Deep Convolutional Neural Network for Medical Image Segmentation. 1144-1148 - Saurabh J. Shigwan, Akshay V. Gaikwad, Suyash P. Awate:
Object Segmentation with Deep Neural Nets Coupled with a Shape Prior, When Learning From a Training set of Limited Quality and Small Size. 1149-1153 - Xin Li, Dongxiao Zhu:
Robust Detection of Adversarial Attacks on Medical Images. 1154-1158 - Deepak Anand, Darshan Tank, Harshvardhan Tibrewal, Amit Sethi:
Self-Supervision vs. Transfer Learning: Robust Biomedical Image Analysis Against Adversarial Attacks. 1159-1163 - Arnaud Boutillon, Bhushan Borotikar, Valérie Burdin, Pierre-Henri Conze:
Combining Shape Priors with Conditional Adversarial Networks for Improved Scapula Segmentation in Mr Images. 1164-1167 - Ruizhe Li, Christian Wagner, Xin Chen, Dorothee Auer:
A Generic Ensemble Based Deep Convolutional Neural Network for Semi-Supervised Medical Image Segmentation. 1168-1172 - Raunak Dey, Yi Hong:
Hybrid Cascaded Neural Network for Liver Lesion Segmentation. 1173-1177 - Arjit Jain, Alexander Powers, Hans J. Johnson:
Robust Automatic Multiple Landmark Detection. 1178-1182 - John Paul Francis, Hongzhi Wang, Kate White, Tanveer F. Syeda-Mahmood, Raymond Stevens:
Neural Network Segmentation of Cell Ultrastructure Using Incomplete Annotation. 1183-1187 - Christoph Haarburger, Justus Schock, Daniel Truhn, Philippe Weitz, Gustav Mueller-Franzes, Leon Weninger, Dorit Merhof:
Radiomic Feature Stability Analysis Based on Probabilistic Segmentations. 1188-1192 - Yue Zhang, Jiong Wu, Benxiang Jiang, Dongcen Ji, Yifan Chen, Ed X. Wu, Xiaoying Tang:
Deep Learning and Unsupervised Fuzzy C-Means Based Level-Set Segmentation for Liver Tumor. 1193-1196 - Haigen Hu, Leizhao Shen, Tongxue Zhou, Pierre Decazes, Pierre Vera, Su Ruan:
Lymphoma Segmentation in PET Images Based on Multi-view and Conv3D Fusion Strategy. 1197-1200 - Yue Zhang, Jiong Wu, Simao Wang, Yilong Liu, Yifan Chen, Ed X. Wu, Xiaoying Tang:
Liver Guided Pancreas Segmentation. 1201-1204 - Jiajin Yi, Zhimin Yuan, Jialin Peng:
Adversarial-Prediction Guided Multi-Task Adaptation for Semantic Segmentation of Electron Microscopy Images. 1205-1208 - Sergiy Popovych, J. Alexander Bae, H. Sebastian Seung:
Caesar: Segment-Wise Alignment Method for Solving Discontinuous Deformations. 1214-1218 - Zhimin Yuan, Jiajin Yi, Zhengrong Luo, Zhongdao Jia, Jialin Peng:
EM-Net: Centerline-Aware Mitochondria Segmentation in EM Images Via Hierarchical View-Ensemble Convolutional Network. 1219-1222 - Christian Kromm, Karl Rohr:
Inception Capsule Network for Retinal Blood Vessel Segmentation and Centerline Extraction. 1223-1226 - Kang Zhou, Shenghua Gao, Jun Cheng, Zaiwang Gu, Huazhu Fu, Zhi Tu, Jianlong Yang, Yitian Zhao, Jiang Liu:
Sparse-Gan: Sparsity-Constrained Generative Adversarial Network for Anomaly Detection in Retinal OCT Image. 1227-1231 - Vibha Nasery, Krishna Bairavi Soundararajan, John M. Galeotti:
Learning to Segment Vessels from Poorly Illuminated Fundus Images. 1232-1236 - Kun Wang, Xiaohong Zhang, Sheng Huang, Qiuli Wang, Feiyu Chen:
CTF-Net: Retinal Vessel Segmentation via Deep Coarse-To-Fine Supervision Network. 1237-1241 - Yan Guo, Rui Wang, Xia Zhou, Yang Liu, Lilong Wang, Chuanfeng Lv, Bin Lv, Guotong Xie:
Lesion-Aware Segmentation Network for Atrophy and Detachment of Pathological Myopia on Fundus Images. 1242-1245 - Guillaume Noyel, Christine Vartin, Peter Boyle, Laurent Kodjikian:
Retinal Vessel Segmentation by Probing Adaptive to Lighting Variations. 1246-1249 - Suraj Mishra, Danny Z. Chen, Xiaobo Sharon Hu:
A Data-Aware Deep Supervised Method for Retinal Vessel Segmentation. 1254-1257 - Junjun He, Cheng Li, Jin Ye, Shanshan Wang, Yu Qiao, Lixu Gu:
Classification of Ocular Diseases Employing Attention-Based Unilateral and Bilateral Feature Weighting and Fusion. 1258-1261 - P. Kevin Raj, Aniketh Manjunath, J. R. Harish Kumar, Chandra Sekhar Seelamantula:
Automatic Classification of Artery/Vein from Single Wavelength Fundus Images. 1262-1265 - Uddeshya Upadhyay, Biplab Banerjee:
Compact Representation Learning Using Class Specific Convolution Coders - Application to Medical Image Classification. 1266-1270 - Huu-Giao Nguyen, Annika Blank, Alessandro Lugli, Inti Zlobec:
An Effective Deep Learning Architecture Combination for Tissue Microarray Spots Classification of H&E Stained Colorectal Images. 1271-1274 - Daniel Jiménez Sánchez, Mikel Ariz, Carlos Ortiz-de-Solórzano:
Unsupervised Learning of Contextual Information in Multiplex Immunofluorescence Tissue Cytometry. 1275-1279 - Gonçalo Figueira, Yaqi Wang, Lingling Sun, Huiyu Zhou, Qianni Zhang:
Adversarial-Based Domain Adaptation Networks for Unsupervised Tumour Detection in Histopathology. 1284-1288 - Tongxin Wang, Weijia Lu, Fan Yang, Li Liu, Zhongyi Dong, Weimin Tang, Jia Chang, Wenjing Huan, Kun Huang, Jianhua Yao:
Microsatellite Instability Prediction of Uterine Corpus Endometrial Carcinoma Based on H&E Histology Whole-Slide Imaging. 1289-1292 - Manish Gupta, Chetna Das, Arnab Roy, Prashant Gupta, G. Radhakrishna Pillai, Kamlakar Patole:
Region of Interest Identification for Cervical Cancer Images. 1293-1296 - Paul A. Yushkevich, Maria Mercedes Iñiguez de Onzoño Martin, Ranjit Ittyerah, Sydney Lim, Madigan Lavery, Jiancong Wang, Alex Ling Yu Hung, Nicolas Vergnet, Sadhana Ravikumar, Long Xie, Mengjin Dong, Robin DeFlores, Salena Cui, Lauren McCollum, Daniel T. Ohm, John L. Robinson, Theresa Schuck, Murray Grossman, M. Dylan Tisdall, Karthik Prabhakaran, Gabor Mizsei, Sandhitsu R. Das, Emilio Artacho-Pérula, María del Mar Arroyo Jiménez, Mónica Muñoz López, Maria del Pilar Marcos Rabal, Francisco Javier Molina Romero, Edward B. Lee, John Q. Trojanowski, Laura E. M. Wisse, David A. Wolk, David J. Irwin, Ricardo Insausti:
3D Mapping of TAU Neurofibrillary Tangle Pathology in the Human Medial Temporal Lobe. 1312-1316 - Hugo Barbaroux, Xinyang Feng, Jie Yang, Andrew F. Laine, Elsa D. Angelini:
Encoding Human Cortex Using Spherical CNNs - A Study on Alzheimer's Disease Classification. 1322-1325 - Krishnakant V. Saboo, Chang Hu, Yogatheesan Varatharajah, Prashanthi Vemuri, Ravishankar K. Iyer:
Predicting Longitudinal Cognitive Scores Using Baseline Imaging and Clinical Variables. 1326-1330 - Zhicheng Jiao, Hongming Li, Yong Fan:
Improving Diagnosis of Autism Spectrum Disorder and Disentangling its Heterogeneous Functional Connectivity Patterns Using Capsule Networks. 1331-1334 - Mengting Liu, Ben A. Duffy, Zhe Sun, Arthur W. Toga, A. James Barkovich, Duan Xu, Hosung Kim:
Deep Learning of Cortical Surface Features Using Graph-Convolution Predicts Neonatal Brain Age and Neurodevelopmental Outcome. 1335-1338 - Gabriel Maicas, Cuong Nguyen, Farbod Motlagh, Jacinto C. Nascimento, Gustavo Carneiro:
Unsupervised Task Design to Meta-Train Medical Image Classifiers. 1339-1342 - Shi Yin, Qinmu Peng, Hongming Li, Zhengqiang Zhang, Xinge You, Katherine Fischer, Susan L. Furth, Gregory E. Tasian, Yong Fan:
Computer-Aided Diagnosis of Congenital Abnormalities of the Kidney and Urinary Tract in Children Using a Multi-Instance Deep Learning Method Based on Ultrasound Imaging Data. 1347-1350 - Jules Bayet, Tim Hoogenboom, Rohini Sharma, Elsa D. Angelini:
Machine-Learning on Liver Ultrasound to Stratify Multiple Diseases via Blood-Vessels and Perfusion Characteristics. 1351-1354 - Xin Yu, Bin Lou, Bibo Shi, David J. Winkel, Nacim Arrahmane, Mamadou Diallo, Tongbai Meng, Heinrich von Busch, Robert Grimm, Berthold Kiefer, Dorin Comaniciu, Ali Kamen, Henkjan J. Huisman, Andrew Rosenkrantz, Tobias Penzkofer, Ivan Shabunin, Moon Hyung Choi, Qingsong Yang, Dieter Szolar:
False Positive Reduction Using Multiscale Contextual Features for Prostate Cancer Detection in Multi-Parametric MRI Scans. 1355-1359 - Yiting Ma, Xuejin Chen, Bin Sun:
Polyp Detection in Colonoscopy Videos by Bootstrapping Via Temporal Consistency. 1360-1363 - Nima Tajbakhsh, Brian Lai, Shilpa P. Ananth, Xiaowei Ding:
ErrorNet: Learning Error Representations from Limited Data to Improve Vascular Segmentation. 1364-1368 - Yijin Huang, Li Lin, Meng Li, Jiewei Wu, Pujin Cheng, Kai Wang, Jin Yuan, Xiaoying Tang:
Automated Hemorrhage Detection from Coarsely Annotated Fundus Images in Diabetic Retinopathy. 1369-1372 - Qier Meng, Yohei Hashimoto, Shin'ichi Satoh:
How to Extract More Information with Less Burden: Fundus Image Classification and Retinal Disease Localization with Ophthalmologist Intervention. 1373-1377 - Zhi Tu, Shenghua Gao, Kang Zhou, Xianing Chen, Huazhu Fu, Zaiwang Gu, Jun Cheng, Zehao Yu, Jiang Liu:
SUNet: A Lesion Regularized Model for Simultaneous Diabetic Retinopathy and Diabetic Macular Edema Grading. 1378-1382 - Heng Jin, Jessica I. W. Morgan, James C. Gee, Min Chen:
Spatially Informed CNN for Automated Cone Detection in Adaptive Optics Retinal Images. 1383-1386 - Panming Li, Le Geng, Weifang Zhu, Fei Shi, Xinjian Chen:
Automatic Angle-Closure Glaucoma Screening Based on the Localization of Scleral Spur in Anterior Segment OCT. 1387-1390 - Andrey Gritsenko, Martin A. Lindquist, Moo K. Chung:
Twin Classification in Resting-State Brain Connectivity. 1391-1394 - Haixing Dai, Fangfei Ge, Qing Li, Wei Zhang, Tianming Liu:
Optimize CNN Model for FMRI Signal Classification Via Adanet-Based Neural Architecture Search. 1399-1403 - Reem Haweel, Omar Dekhil, Ahmed Shalaby, Ali H. Mahmoud, Mohammed Ghazal, Ashraf Khalil, Robert Keynton, Gregory Barnes, Ayman El-Baz:
A Novel Framework for Grading Autism Severity Using Task-Based FMRI. 1404-1407 - Hengda He, Qolamreza R. Razlighi:
Volumetric Registration of Brain Cortical Regions by Automatic Landmark Matching and Large Deformation Diffeomorphisms. 1412-1417 - Anqi Chen, Defu Yang, Chenggang Yan, Zi-Wen Peng, Minjeong Kim, Paul J. Laurienti, Guorong Wu:
A Novel Spatio-Temporal Hub Identification Method for Dynamic Functional Networks. 1416-1419 - Huan Wang, Qinglin Dong, Ning Qiang, Xin Zhang, Tianming Liu, Bao Ge:
Task fMRI Guided Fiber Clustering via a Deep Clustering Method. 1420-1423 - Xiangrui Li, Jasmine L. Hect, Moriah E. Thomason, Dongxiao Zhu:
Interpreting Age Effects of Human Fetal Brain from Spontaneous fMRI Using Deep 3D Convolutional Neural Networks. 1424-1427 - Aniket Pramanik, Hemant Kumar Aggarwal, Mathews Jacob:
Calibrationless Parallel MRI Using Model Based Deep Learning (C-MODL). 1428-1431 - Yunsong Liu, Congyu Liao, Kawin Setsompop, Justin P. Haldar:
An Evaluation of Regularization Strategies for Subsampled Single-Shell Diffusion MRI. 1437-1440 - Zaccharie Ramzi, Philippe Ciuciu, Jean-Luc Starck:
Benchmarking Deep Nets MRI Reconstruction Models on the Fastmri Publicly Available Dataset. 1441-1445 - Matthew Marques, Craig Engstrom, Jurgen Fripp, Stuart Crozier, Shekhar S. Chandra:
Fast High Dynamic Range MRI by Contrast Enhancement Networks. 1446-1449 - Joseph Kettelkamp, Sajan Goud Lingala:
Arterial input function and tracer kinetic model-driven network for rapid inference of kinetic maps in Dynamic Contrast-Enhanced MRI (AIF-TK-net). 1450-1453 - Romina Del Bosque, Edith Valle, Matthew D. Wilcox, Travis Carrell, Peter Nghiem, Steven M. Wright, Mary P. McDougall:
Mr Imaging and Spectroscopy for Biomarker Characterization in Golden Retriever Muscular Dystrophy Tissue Samples. 1454-1458 - Olfa Ben Ahmed, Seifeddine Fezzani, Carole Guillevin, Lobna Fezai, Mathieu Naudin, Benoit Gianelli, Christine Fernandez-Maloigne:
DeepMRS: An End-to-End Deep Neural Network for Dementia Disease Detection using MRS Data. 1459-1463 - Shuai Li, Zhengdong Zhang, Yun Lu:
Efficient Detection of EMVI in Rectal Cancer Via Richer Context Information and Feature Fusion. 1464-1468 - Manikanta Srikar Yellapragada, Yiting Xie, Benedikt Graf, David Richmond, Arun Krishnan, Arkadiusz Sitek:
Deep Learning Based Detection of Acute Aortic Syndrome in Contrast CT Images. 1474-1477 - Saskia Glaser, Gabriel Maicas, Sergei Bedrikovetski, Tarik Sammour, Gustavo Carneiro:
Semi-Supervised Multi-Domain Multi-Task Training for Metastatic Colon Lymph Node Diagnosis from Abdominal CT. 1478-1481 - Muhammad Arif, Ivo G. Schoots, Jose M. Castillo T, Monique J. Roobol, Wiro J. Niessen, Jifke F. Veenland:
Computer Aided Diagnosis of Clinically Significant Prostate Cancer in Low-Risk Patients on Multi-Parametric MR Images Using Deep Learning. 1482-1485 - Juan Wang, Liang Lei, Yongyi Yang:
Deep Learning Features for Modeling Perceptual Similarity in Microcalcification Lesion Retrieval. 1486-1489 - Zhibin Liao, Lingqiao Liu, Qi Wu, Damien Teney, Chunhua Shen, Anton van den Hengel, Johan Verjans:
Medical Data Inquiry Using a Question Answering Model. 1490-1493 - Karim Armanious, Aastha Tanwar, Sherif Abdulatif, Thomas Küstner, Sergios Gatidis, Bin Yang:
Unsupervised Adversarial Correction of Rigid MR Motion Artifacts. 1494-1498 - Fei Yu, Hexin Dong, Mo Zhang, Jie Zhao, Bin Dong, Quanzheng Li, Li Zhang:
AF-SEG: An Annotation-Free Approach for Image Segmentation by Self-Supervision and Generative Adversarial Network. 1503-1507 - Henry H. Yu, Xue Feng, Ziwen Wang, Hao Sun:
MixModule: Mixed CNN Kernel Module for Medical Image Segmentation. 1508-1512 - Rahul Paul, Matthew B. Schabath, Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof:
Mitigating Adversarial Attacks on Medical Image Understanding Systems. 1517-1521 - Zuhao Liu, Huan Wang, Wenhui Lei, Guotai Wang:
CSAF-CNN: Cross-Layer Spatial Attention Map Fusion Network for Organ-at-Risk Segmentation in Head and Neck CT Images. 1522-1525 - Vikash Gupta, Mutlu Demirer, Matthew T. Bigelow, Sarah M. Yu, Joseph S. Yu, Luciano M. Prevedello, Richard D. White, Barbaros S. Erdal:
Using Transfer Learning and Class Activation Maps Supporting Detection and Localization of Femoral Fractures on Anteroposterior Radiographs. 1526-1529 - Yu Qin, Yuxing Li, Zhiwen Liu, Chuyang Ye:
Knowledge Transfer Between Datasets for Learning-Based Tissue Microstructure Estimation. 1530-1533 - Verónica Muñoz Ramírez, Virgilio Kmetzsch, Florence Forbes, Michel Dojat:
Deep Learning Models to Study the Early Stages of Parkinson's Disease. 1534-1537 - Duc Duy Pham, Gurbandurdy Dovletov, Josef Pauli:
Liver Segmentation in CT with MRI Data: Zero-Shot Domain Adaptation by Contour Extraction and Shape Priors. 1538-1542 - Alexander Katzmann, Alexander Muehlberg, Michael Sühling, Dominik Nörenberg, Julian Walter Holch, Horst-Michael Gross:
Deep Random Forests for Small Sample Size Prediction with Medical Imaging Data. 1543-1547 - Wei Zhu, Feng Shi, Jiebo Luo:
Modeling Heterogeneity in Feature Selection for MCI Classification. 1548-1551 - Minfeng Xu, Yu Wang, Ying Chi, Xiansheng Hua:
Training Liver Vessel Segmentation Deep Neural Networks on Noisy Labels from Contrast CT Imaging. 1552-1555 - Yunling Li, Hui Huang, Lijuan Zhang, Guangyi Wang, Honglai Zhang, Wu Zhou:
Super-Resolution and Self-Attention with Generative Adversarial Network for Improving Malignancy Characterization of Hepatocellular Carcinoma. 1556-1560 - Rui Wang, Dongyi Fan, Bin Lv, Min Wang, Qienyuan Zhou, Chuanfeng Lv, Guotong Xie, Lilong Wang:
OCT Image Quality Evaluation Based on Deep and Shallow Features Fusion Network. 1561-1564 - Yan Hu, Jianlong Yang, Jun Cheng, Jiang Liu:
Noise Redistribution and 3D Shearlet Filtering for Speckle Reduction in Optical Coherence Tomography. 1565-1569 - Suhui Yang, Xia Zhou, Jun Wang, Guotong Xie, Chuanfeng Lv, Peng Gao, Bin Lv:
Unsupervised Domain Adaptation for Cross-Device OCT Lesion Detection via Learning Adaptive Features. 1570-1573 - Yang Liu, Dongfang Li, Yan Guo, Xia Zhou, Yanling Dong, Zhen Guo, Guotong Xie, Chuanfeng Lv, Bin Lv:
Hierarchy-Constrained Network for Corneal Tissue Segmentation Based on Anterior Segment OCT Images. 1579-1582 - Maximilian Neidhardt, Marcel Bengs, Sarah Latus, Matthias Schlüter, Thore Saathoff, Alexander Schlaefer:
Deep Learning for High Speed Optical Coherence Elastography. 1583-1586 - Fatemeh Hadaeghi, Björn-Philipp Diercks, Insa M. A. Wolf, René Werner:
Reservoir Computing for Jurkat T-cell Segmentation in High Resolution Live Cell Ca2+ Fluorescence Microscopy. 1587-1591 - Yiyan Li, Hemanth Cherukury, Jan Zimak, Jacob Harrison, Ellena Peterson, Weian Zhao:
Enumeration of Ampicillin-Resistant E. Coli in Blood Using Droplet Microfluidics and High-Speed Image Processing. 1592-1595 - Joël Lefebvre, Avelino Javer, Mariia Dmitrieva, Jens Rittscher, Bohdan Lewków, Edward Allgeyer, George Sirinakis, Daniel St Johnston:
Single-Molecule Localization Microscopy Reconstruction Using Noise2Noise for Super-Resolution Imaging of Actin Filaments. 1596-1599 - Panagiotis Dimitrakopoulos, Giorgos Sfikas, Christophoros Nikou:
ISING-GAN: Annotated Data Augmentation with a Spatially Constrained Generative Adversarial Network. 1600-1603 - Aritra Chowdhury, James R. Kubricht, Anup Sood, Peter H. Tu, Alberto Santamaría-Pang:
Escell: Emergent Symbolic Cellular Language. 1604-1607 - David Svoboda, Tereza Necasová:
Image-Based Simulations of Tubular Network Formation. 1608-1612 - Tristan Henser-Brownhill, Robert J. Ju, Nikolas K. Haass, Samantha J. Stehbens, Christoph Ballestrem, Timothy F. Cootes:
Estimation of Cell Cycle States of Human Melanoma Cells with Quantitative Phase Imaging and Deep Learning. 1617-1621 - Anindya Gupta, Veronica Larsson, Damian J. Matuszewski, Staffan Strömblad, Carolina Wählby:
Weakly-Supervised Prediction of Cell Migration Modes in Confocal Microscopy Images Using Bayesian Deep Learning. 1626-1629 - Axel Andersson, Gabriele Partel, Leslie Solorzano, Carolina Wählby:
Transcriptome-Supervised Classification of Tissue Morphology Using Deep Learning. 1630-1633 - Kristofer delas Peñas, Mariia Dmitrieva, Joël Lefebvre, Helen L. Zenner, Edward Allgeyer, Martin Booth, Daniel St Johnston, Jens Rittscher:
Extracting Axial Depth and Trajectory Trend Using Astigmatism, Gaussian Fitting, and CNNs for Protein Tracking. 1634-1637 - Patrick D. Byrnes, William E. Higgins:
MULTI-FRAME CT-VIDEO REGISTRATION FOR 3D AIRWAY-WALL ANALYSIS. 1638-1641 - Patrick Wilhelm, Joseph M. Reinhardt, Douglas van Daele:
A Deep Learning Approach to Video Fluoroscopic Swallowing Exam Classification. 1647-1650 - Antonio Lorente Mur, Françoise Peyrin, Nicolas Ducros:
Recurrent Neural Networks for Compressive Video Reconstruction. 1651-1654 - Zhe Guo, Ruiyao Zhang, Qin Li, Xinkai Liu, Daiki Nemoto, Kazutomo Togashi, S. M. Isuru Niroshana, Yuchen Shi, Xin Zhu:
Reduce False-Positive Rate by Active Learning for Automatic Polyp Detection in Colonoscopy Videos. 1655-1658 - J. Vince Pulido, Shan Guleria, Lubaina Ehsan, Tilak Shah, Sana Syed, Donald E. Brown:
Screening for Barrett's Esophagus with Probe-Based Confocal Laser Endomicroscopy Videos. 1659-1663 - Soumyanil Banerjee, Ming Dong, Min-Hee Lee, Nolan O'Hara, Eishi Asano, Jeong-Won Jeong:
Prediction of Language Impairments in Children Using Deep Relational Reasoning with DWI Data. 1680-1684 - Xin Ma, Guorong Wu, Won Hwa Kim:
Enriching Statistical Inferences on Brain Connectivity for Alzheimer's Disease Analysis via Latent Space Graph Embedding. 1685-1689 - Andrei Irimia, Di Fan, Nikhil N. Chaudhari, Van Ngo, Fan Zhang, Shantanu H. Joshi, Lauren J. O'Donnell:
Mapping Cerebral Connectivity Changes after Mild Traumatic Brain Injury in Older Adults Using Diffusion Tensor Imaging and Riemannian Matching of Elastic Curves. 1690-1693 - Yusuf Osmanlioglu, Jacob A. Alappatt, Drew Parker, Ragini Verma:
Analysis of Consistency in Structural and Functional Connectivity of Human Brain. 1694-1697 - Armin Iraji, Noah Lewis, Ashkan Faghiri, Zening Fu, Thomas DeRamus, Anees Abrol, Shile Qi, Vince D. Calhoun:
Functional Multi-Connectivity: A Novel Approach To Assess Multi-Way Entanglement Between Networks and Voxels. 1698-1701 - Matt Higger, Demian Wassermann, Martha Shenton, Sylvain Bouix:
Agglomerative Region-Based Analysis. 1702-1705 - Richard Droste, Pierre Chatelain, Lior Drukker, Harshita Sharma, Aris T. Papageorghiou, Julia Alison Noble:
Discovering Salient Anatomical Landmarks by Predicting Human Gaze. 1711-1714 - Nathan Zelesko, Amit Moscovich, Joe Kileel, Amit Singer:
Earthmover-Based Manifold Learning for Analyzing Molecular Conformation Spaces. 1715-1719 - Yanglan Ou, Yuan Xue, Ye Yuan, Tao Xu, Vincent Pisztora, Jia Li, Xiaolei Huang:
Semi-Supervised Cervical Dysplasia Classification with Learnable Graph Convolutional Network. 1720-1724 - Rhydian Windsor, Amir Jamaludin:
The Ladder Algorithm: Finding Repetitive Structures in Medical Images by Induction. 1729-1733 - Kevinminh Ta, Shawn S. Ahn, Allen Lu, John C. Stendahl, Albert J. Sinusas, James S. Duncan:
A Semi-Supervised Joint Learning Approach to Left Ventricular Segmentation and Motion Tracking in Echocardiography. 1734-1737 - Daniel H. Pak, Andrés Caballero, Wei Sun, James S. Duncan:
Efficient Aortic Valve Multilabel Segmentation Using a Spatial Transformer Network. 1738-1742 - Kaikai Huang, Antonio Tejero-de-Pablos, Hiroaki Yamane, Yusuke Kurose, Junichi Iho, Youji Tokunaga, Makoto Horie, Keisuke Nishizawa, Yusaku Hayashi, Yasushi Koyama, Tatsuya Harada:
Coronary Wall Segmentation in CCTA Scans Via a Hybrid Net with Contours Regularization. 1743-1747 - Sizhuo Liu, Edward T. Reehorst, Philip Schniter, Rizwan Ahmad:
Free-Breathing Cardiovascular MRI Using a Plug-and-Play Method with Learned Denoiser. 1748-1751 - Qi Chang, Zhennan Yan, Yixuan Lou, Leon Axel, Dimitris N. Metaxas:
Soft-Label Guided Semi-Supervised Learning for Bi-Ventricle Segmentation in Cardiac Cine MRI. 1752-1755 - Shrimanti Ghosh, Nilanjan Ray, Pierre Boulanger, Kumaradevan Punithakumar, Michelle Noga:
Automated Left Atrial Segmentation from Magnetic Resonance Image Sequences Using Deep Convolutional Neural Network with Autoencoder. 1756-1760 - Lok Hin Lee, J. Alison Noble:
Generating Controllable Ultrasound Images of the Fetal Head. 1761-1764 - Zengming Shen, Yifan Chen, Shaohua Kevin Zhou, Bogdan Georgescu, Xuqi Liu, Thomas S. Huang:
Learning A Self-Inverse Network for Bidirectional Mri Image Synthesis. 1765-1769 - Caner Mercan, G. C. A. M. Mooij, David Tellez, Johannes Lotz, Nick Weiss, Marcel van Gerven, Francesco Ciompi:
Virtual Staining for Mitosis Detection in Breast Histopathology. 1770-1774 - Zihao Tang, Donghao Zhang, Yang Song, Heng Wang, Dongnan Liu, Chaoyi Zhang, Siqi Liu, Hanchuan Peng, Weidong Cai:
3D Conditional Adversarial Learning for Synthesizing Microscopic Neuron Image Using Skeleton-to-Neuron Translation. 1775-1779 - Anand Mooga, Ramanathan Sethuraman, Debdoot Sheet:
Zero-Shot Adaptation to Simulate 3D Ultrasound Volume by Learning a Multilinear Separable 2D Convolutional Neural Network. 1780-1783 - Reda Oulbacha, Samuel Kadoury:
MRI to CT Synthesis of the Lumbar Spine from a Pseudo-3D Cycle GAN. 1784-1787 - Yuting Xiao, Shenghua Gao, Zhenjie Chai, Kang Zhou, Tianyang Zhang, Yitian Zhao, Jun Cheng, Jiang Liu:
Open-Set OCT Image Recognition with Synthetic Learning. 1788-1792 - Jiamin Liang, Xin Yang, Haoming Li, Yi Wang, Manh The Van, Haoran Dou, Chaoyu Chen, Jinghui Fang, Xiaowen Liang, Zixin Mai, Guowen Zhu, Zhiyi Chen, Dong Ni:
Synthesis and Edition of Ultrasound Images via Sketch Guided Progressive Growing GANS. 1793-1797 - Dário Augusto Borges Oliveira:
Controllable Skin Lesion Synthesis Using Texture Patches, Bézier Curves and Conditional GANs. 1798-1802 - Bingyu Xin, Yifan Hu, Yefeng Zheng, Hongen Liao:
Multi-Modality Generative Adversarial Networks with Tumor Consistency Loss for Brain MR Image Synthesis. 1803-1807 - Tal Mezheritsky, Liset Vázquez Romaguera, Samuel Kadoury:
3D Ultrasound Generation from Partial 2D Observations Using Fully Convolutional and Spatial Transformation Networks. 1808-1811 - Martina Guidetti, Dieter Klatt, Thomas J. Royston:
Transformation Elastography: Converting Anisotropy to Isotropy. 1812-1815 - Peng Wan, Fang Chen, Xiaowei Zhu, Chunrui Liu, Yidan Zhang, Wentao Kong, Daoqiang Zhang:
CEUS-Net: Lesion Segmentation in Dynamic Contrast-Enhanced Ultrasound with Feature-Reweighted Attention Mechanism. 1816-1819 - Mawia Khairalseed, Girdhari Rijal, Kenneth Hoyt:
H-Scan Format for Classification of Ultrasound Scatterers and Matched Comparison to Histology Measurements. 1820-1823 - Zhendong Liu, Xin Yang, Rui Gao, Shengfeng Liu, Haoran Dou, Shuangchi He, Yuhao Huang, Yankai Huang, Huanjia Luo, Yuanji Zhang, Yi Xiong, Dong Ni:
Remove Appearance Shift for Ultrasound Image Segmentation via Fast and Universal Style Transfer. 1824-1828 - Bahareh Behboodi, Mina Amiri, Rupert Brooks, Hassan Rivaz:
Breast Lesion Segmentation in Ultrasound Images with Limited Annotated Data. 1834-1837 - Haowei Tai, Swapnil Dolui, Mawia Khairalseed, Kenneth Hoyt:
Three-Dimensional Voxel-Level Classification of Ultrasound Scattering. 1838-1841 - Alison M. Pouch, Paul A. Yushkevich, Abdullah H. Aly, Alexander H. F. Woltersom, Edidiong Okon, Ahmed H. Aly, Natalie Yushkevich, Shobhana Parameshwaran, Jiancong Wang, Baris U. Oguz, James C. Gee, Ipek Oguz, Nadav Schwartz:
Automated Meshing of Anatomical Shapes for Deformable Medial Modeling: Application to the Placenta in 3D Ultrasound. 1842-1846 - Jianbo Jiao, Richard Droste, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Self-Supervised Representation Learning for Ultrasound Video. 1847-1850 - Ken C. L. Wong, Mehdi Moradi, Joy T. Wu, Anup Pillai, Arjun Sharma, Yaniv Gur, Hassan M. Ahmad, Minnekanti Sunil Chowdary, Chiranjeevi J, Kiran Kumar Reddy Polaka, Venkateswar Wunnava, D. C. Reddy, Tanveer F. Syeda-Mahmood:
A Robust Network Architecture to Detect Normal Chest X-Ray Radiographs. 1851-1855 - Sarah E. Gerard, Joseph M. Reinhardt, Gary E. Christensen, Raúl San José Estépar:
Estimating Local Tissue Expansion in Thoracic Computed Tomography Images Using Convolutional Neural Networks. 1856-1860 - Elvis R. Capia, Azael de Melo e Sousa, Alexandre X. Falcão:
Improving Lung Nodule Detection with Learnable Non-Maximum Suppression. 1861-1865 - Yuemeng Li, Yang Fan:
DeepSEED: 3D Squeeze-and-Excitation Encoder-Decoder Convolutional Neural Networks for Pulmonary Nodule Detection. 1866-1869 - Benjamin Veasey, Mohammad Mehdi Farhangi, Hichem Frigui, Justin Broadhead, Michael Dahle, Aria Pezeshk, Albert Seow, Amir A. Amini:
Lung Nodule Malignancy Classification Based ON NLSTx Data. 1870-1874 - Jiancheng Yang, Haoran Deng, Xiaoyang Huang, Bingbing Ni, Yi Xu:
Relational Learning Between Multiple Pulmonary Nodules via Deep Set Attention Transformers. 1875-1878 - Evan Schwab, André Gooßen, Hrishikesh Deshpande, Axel Saalbach:
Localization of Critical Findings in Chest X-Ray Without Local Annotations Using Multi-Instance Learning. 1879-1882 - Syed Ahmed Nadeem, Eric A. Hoffman, Alejandro P. Comellas, Punam K. Saha:
Locally Adaptive Half-Max Methods for Airway Lumen-Area and Wall-Thickness and Their Repeat CT Scan Reproducibility. 1883-1886 - Subin Erattakulangara, Sajan Goud Lingala:
Airway segmentation in speech MRI using the U-net architecture. 1887-1890 - Yue Pan, Gary E. Christensen, Oguz C. Durumeric, Sarah E. Gerard, Surya P. Bhatt, R. Graham Barr, Eric A. Hoffman, Joseph M. Reinhardt:
Assessment of Lung Biomechanics in COPD Using Image Registration. 1891-1895 - Enmin Liang, Ahmed Elazab, Shuang Liang, Qiong Wang, Tianfu Wang, Baiying Lei:
Walking Imagery Evaluation Based on Multi-view Features and Stacked Denoising Auto-encoder Network. 1896-1899 - Jie Zhang, Yalin Wang:
Temporally Adaptive-Dynamic Sparse Network for Modeling Disease Progression. 1900-1904 - Christoph Baur, Benedikt Wiestler, Shadi Albarqouni, Nassir Navab:
Bayesian Skip-Autoencoders for Unsupervised Hyperintense Anomaly Detection in High Resolution Brain Mri. 1905-1909 - Davood Karimi, Jurriaan M. Peters, Abdelhakim Ouaalam, Sanjay P. Prabhu, Mustafa Sahin, Darcy A. Krueger, Alexander Kolevzon, Charis Eng, Simon K. Warfield, Ali Gholipour:
Learning to Detect Brain Lesions from Noisy Annotations. 1910-1914 - Guangxiang Rao, Ang Li, Yong Liu, Bing Liu:
A High-Powered Brain Age Prediction Model Based on Convolutional Neural Network. 1915-1919 - Mansu Kim, Ji Hye Won, Jisu Hong, Junmo Kwon, Hyunjin Park, Li Shen:
Deep Network-Based Feature Selection for Imaging Genetics: Application to Identifying Biomarkers for Parkinson's Disease. 1920-1923 - Praveen Kumar Pokala, Satvik Chemudupati, Chandra Sekhar Seelamantula:
Adaptive Weighted Minimax-Concave Penalty Based Dictionary Learning for Brain MR Images. 1929-1932 - Yanfei Wang, Jie Ma, Bibo Hao, Pengwei Hu, Xiaoqian Wang, Jing Mei, Shaochun Li:
Automatic Depression Detection via Facial Expressions Using Multiple Instance Learning. 1933-1936 - Lok Hin Lee, J. Alison Noble:
Automatic Determination of the Fetal Cardiac Cycle in Ultrasound Using Spatio-Temporal Neural Networks. 1937-1940 - Haris Jeelani, Yang Yang, Ruixi Zhou, Christopher M. Kramer, Michael Salerno, Daniel S. Weller:
A Myocardial T1-Mapping Framework with Recurrent and U-Net Convolutional Neural Networks. 1941-1944 - Karim Amer, Athira J. Jacob, Gareth Funka-Lea, Noha El-Zehiry:
Supervised Learning for Segmenting Open Boundaries in Medical Images. 1945-1948 - Balamurali Murugesan, Kaushik Sarveswaran, Vijaya Raghavan S, Sharath M. Shankaranarayana, Keerthi Ram, Mohanasankar Sivaprakasam:
A Context Based Deep Learning Approach for Unbalanced Medical Image Segmentation. 1949-1953 - Ömer Burak Demirel, Sebastian Weingärtner, Steen Moeller, Mehmet Akçakaya:
Improved Simultaneous Multi-Slice Imaging for Perfusion Cardiac MRI Using Outer Volume Suppression and Regularized Reconstruction. 1954-1957 - Tingyang Yang, Jiancheng Han, Haogang Zhu, Tiantian Li, Xiaowei Liu, Xiaoyan Gu, Xiangyu Liu, Shan An, Yingying Zhang, Ye Zhang, Yihua He:
Segmentation of Five Components in Four Chamber View of Fetal Echocardiography. 1962-1965 - Zhenjie Chai, Kang Zhou, Jianlong Yang, Yuhui Ma, Zhi Chen, Shenghua Gao, Jiang Liu:
Perceptual-Assisted Adversarial Adaptation for Choroid Segmentation in Optical Coherence Tomography. 1966-1970 - Chengfen Zhang, Yue Wang, Xinyu Zhao, Yan Guo, Guotong Xie, Chuanfeng Lv, Bin Lv:
Memory-Augmented Anomaly Generative Adversarial Network for Retinal OCT Images Screening. 1971-1974 - I-Ling Chen, Tuan-Shu Ho, Chih-Wei Lu:
Full Field Optical Coherence Tomography Image Denoising Using Deep Learning with Spatial Compounding. 1975-1978 - Matthias Schlüter, Lukas Glandorf, Johanna Sprenger, Martin Gromniak, Maximilian Neidhardt, Thore Saathoff, Alexander Schlaefer:
High-Speed Markerless Tissue Motion Tracking Using Volumetric Optical Coherence Tomography Images. 1979-1982 - Peiwen Shi, Jingmin Xin, Nanning Zheng:
Weakly Supervised Vulnerable Plaques Detection by IVOCT Image. 1983-1986 - Astrid M. E. Engberg, Abdullah Amini, Anne Willerslev, Michael Larsen, Birgit Sander, Line Kessel, Anders B. Dahl, Vedrana Andersen Dahl:
Automated Quantification of Macular Vasculature Changes from OCTA Images of Hematologic Patients. 1987-1991 - Weipeng Li, Jiaxin Zhuang, Ruixuan Wang, Jianguo Zhang, Wei-Shi Zheng:
Fusing Metadata and Dermoscopy Images for Skin Disease Diagnosis. 1996-2000 - Jing Zhang, Caroline Petitjean, Samia Ainouz:
Kappa Loss for Skin Lesion Segmentation in Fully Convolutional Network. 2001-2004 - Yuexiang Li, Jiawei Chen, Yefeng Zheng:
A Multi-Task Self-Supervised Learning Framework for Scopy Images. 2005-2009 - Xiaoqing Guo, Zhen Chen, Yixuan Yuan:
Complementary Network with Adaptive Receptive Fields for Melanoma Segmentation. 2010-2013 - Anindo Saha, Prem Prasad, Abdullah Thabit:
Leveraging Adaptive Color Augmentation in Convolutional Neural Networks for Deep Skin Lesion Segmentation. 2014-2017
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