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ORCID23rd MICCAI 2020: Lima, Peru - Part V
- Anne L. Martel
, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part V. Lecture Notes in Computer Science 12265, Springer 2020, ISBN 978-3-030-59721-4
Biological, Optical, Microscopic Imaging
- Salma Abdel Magid, Won-Dong Jang, Denis Schapiro, Donglai Wei, James Tompkin, Peter K. Sorger, Hanspeter Pfister:
Channel Embedding for Informative Protein Identification from Highly Multiplexed Images. 3-13 - Amin Nejatbakhsh, Erdem Varol, Eviatar Yemini, Vivek Venkatachalam, Albert Lin, Aravinthan D. T. Samuel, Oliver Hobert, Liam Paninski:
Demixing Calcium Imaging Data in C. elegans via Deformable Non-negative Matrix Factorization. 14-24 - Brian D. Leahy, Won-Dong Jang, Helen Y. Yang, Robbert Struyven, Donglai Wei, Zhe Sun, Kylie R. Lee, Charlotte Royston, Liz Cam, Yael Kalma, Foad Azem, Dalit Ben-Yosef, Hanspeter Pfister, Daniel Needleman:
Automated Measurements of Key Morphological Features of Human Embryos for IVF. 25-35 - Chenhao Wang, Camilla Cattaneo, Jing Liu, Wender Bredie, Ella Pagliarini, Jon Sporring:
A Novel Approach to Tongue Standardization and Feature Extraction. 36-45 - Saeed Izadi, Ghassan Hamarneh:
Patch-Based Non-local Bayesian Networks for Blind Confocal Microscopy Denoising. 46-55 - Hong Xu, David E. Timm, Shireen Y. Elhabian:
Attention-Guided Quality Assessment for Automated Cryo-EM Grid Screening. 56-65 - Donglai Wei, Zudi Lin, Daniel Franco-Barranco, Nils Wendt, Xingyu Liu, Wenjie Yin, Xin Huang, Aarush Gupta, Won-Dong Jang, Xueying Wang, Ignacio Arganda-Carreras, Jeff W. Lichtman, Hanspeter Pfister:
MitoEM Dataset: Large-Scale 3D Mitochondria Instance Segmentation from EM Images. 66-76 - Lu Mi, Hao Wang, Yaron Meirovitch, Richard Schalek, Srinivas C. Turaga, Jeff W. Lichtman, Aravinthan D. T. Samuel, Nir Shavit:
Learning Guided Electron Microscopy with Active Acquisition. 77-87 - Hanyu Li, Michal Januszewski, Viren Jain, Peter H. Li:
Neuronal Subcompartment Classification and Merge Error Correction. 88-98 - Nils Eckstein, Julia M. Buhmann, Matthew Cook, Jan Funke:
Microtubule Tracking in Electron Microscopy Volumes. 99-108 - Nathan Drenkow, Justin Joyce, Jordan Matelsky, Jennifer Heiko, Reem Larabi, Brock A. Wester, Dean Kleissas, William R. Gray Roncal:
Leveraging Tools from Autonomous Navigation for Rapid, Robust Neuron Connectivity. 109-118 - Erdem Varol, Amin Nejatbakhsh, Ruoxi Sun, Gonzalo E. Mena, Eviatar Yemini, Oliver Hobert, Liam Paninski:
Statistical Atlas of C. elegans Neurons. 119-129 - Amin Nejatbakhsh, Erdem Varol, Eviatar Yemini, Oliver Hobert, Liam Paninski:
Probabilistic Joint Segmentation and Labeling of C. elegans Neurons. 130-140 - Jiabing Li, Camille Artur, Jason L. Eriksen, Badrinath Roysam, David Mayerich:
Segmenting Continuous but Sparsely-Labeled Structures in Super-Resolution Microscopy Using Perceptual Grouping. 141-150 - Elke Kirschbaum, Alberto Bailoni, Fred A. Hamprecht:
DISCo: Deep Learning, Instance Segmentation, and Correlations for Cell Segmentation in Calcium Imaging. 151-162 - Shiyu Deng, Xueyang Fu, Zhiwei Xiong, Chang Chen, Dong Liu, Xuejin Chen, Qing Ling, Feng Wu:
Isotropic Reconstruction of 3D EM Images with Unsupervised Degradation Learning. 163-173 - Tingying Peng, Lorenz Lamm, Dirk Loeffler, Nouraiz Ahmed, Nassir Navab, Timm Schroeder, Carsten Marr:
Background and Illumination Correction for Time-Lapse Microscopy Data with Correlated Foreground. 174-183 - Zhen Chen, Xiaoqing Guo, Chen Yang, Bulat Ibragimov, Yixuan Yuan:
Joint Spatial-Wavelet Dual-Stream Network for Super-Resolution. 184-193 - Meng Dong, Dong Liu, Zhiwei Xiong, Xuejin Chen, Yueyi Zhang, Zheng-Jun Zha, Guoqiang Bi, Feng Wu:
Towards Neuron Segmentation from Macaque Brain Images: A Weakly Supervised Approach. 194-203 - Henry F. J. Tregidgo, Adrià Casamitjana, Caitlin Latimer, Mitchell Kilgore, Eleanor D. Robinson, Emily Blackburn, Koen Van Leemput, Bruce Fischl, Adrian V. Dalca, Christine L. Mac Donald, Dirk Keene, Juan Eugenio Iglesias:
3D Reconstruction and Segmentation of Dissection Photographs for MRI-Free Neuropathology. 204-214 - Jean Ollion, Charles Ollion:
DistNet: Deep Tracking by Displacement Regression: Application to Bacteria Growing in the Mother Machine. 215-225 - Petru Manescu, Christopher Bendkowski, Remy Claveau, Muna Elmi, Biobele J. Brown, Vijay Pawar, Mike J. Shaw, Delmiro Fernandez-Reyes:
A Weakly Supervised Deep Learning Approach for Detecting Malaria and Sickle Cells in Blood Films. 226-235 - Mihoko Shimano, Yuta Asano, Shin Ishihara, Ryoma Bise, Imari Sato:
Imaging Scattering Characteristics of Tissue in Transmitted Microscopy. 236-245 - Ario Sadafi, Asya Makhro, Anna Bogdanova, Nassir Navab, Tingying Peng, Shadi Albarqouni, Carsten Marr:
Attention Based Multiple Instance Learning for Classification of Blood Cell Disorders. 246-256 - Ran Liu, Cem Subakan, Aishwarya H. Balwani, Jennifer D. Whitesell, Julie Harris, Sanmi Koyejo, Eva L. Dyer:
A Generative Modeling Approach for Interpreting Population-Level Variability in Brain Structure. 257-266 - Jakob Weiss, Michael Sommersperger, M. Ali Nasseri, Abouzar Eslami, Ulrich Eck, Nassir Navab:
Processing-Aware Real-Time Rendering for Optimized Tissue Visualization in Intraoperative 4D OCT. 267-276
Cell Segmentation and Stain Normalization
- Shengcong Chen, Changxing Ding, Dacheng Tao:
Boundary-Assisted Region Proposal Networks for Nucleus Segmentation. 279-288 - Zhongyi Huang, Yao Ding, Guoli Song, Lin Wang, Ruizhe Geng, Hongliang He, Shan Du, Xia Liu, Yonghong Tian, Yongsheng Liang, S. Kevin Zhou, Jie Chen:
BCData: A Large-Scale Dataset and Benchmark for Cell Detection and Counting. 289-298 - Kuan Tian, Jun Zhang, Haocheng Shen, Kezhou Yan, Pei Dong, Jianhua Yao, Shannon Che, Pifu Luo, Xiao Han:
Weakly-Supervised Nucleus Segmentation Based on Point Annotations: A Coarse-to-Fine Self-Stimulated Learning Strategy. 299-308 - Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran, Ling Shao:
Structure Preserving Stain Normalization of Histopathology Images Using Self Supervised Semantic Guidance. 309-319 - Hansheng Li, Xin Han, Yuxin Kang, Xiaoshuang Shi, Mengdi Yan, Zixu Tong, Qirong Bu, Lei Cui, Jun Feng, Lin Yang:
A Novel Loss Calibration Strategy for Object Detection Networks Training on Sparsely Annotated Pathological Datasets. 320-329 - Harshal Nishar, Nikhil Chavanke, Nitin Singhal:
Histopathological Stain Transfer Using Style Transfer Network with Adversarial Loss. 330-340 - Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng:
Instance-Aware Self-supervised Learning for Nuclei Segmentation. 341-350 - Pietro Antonio Cicalese, Aryan Mobiny, Pengyu Yuan, Jan U. Becker, Chandra Mohan, Hien Van Nguyen:
StyPath: Style-Transfer Data Augmentation for Robust Histology Image Classification. 351-361 - Saad Nadeem, Travis J. Hollmann, Allen R. Tannenbaum:
Multimarginal Wasserstein Barycenter for Stain Normalization and Augmentation. 362-371 - Songtao Zhang, Qingwen Ni, Bing Li, Shan Jiang, Wenyu Cai, Hang Chen, Lin Luo:
Corruption-Robust Enhancement of Deep Neural Networks for Classification of Peripheral Blood Smear Images. 372-381 - Tian Bai, Jiayu Xu, Fuyong Xing:
Multi-field of View Aggregation and Context Encoding for Single-Stage Nucleus Recognition. 382-392 - Mihir Sahasrabudhe, Stergios Christodoulidis, Roberto Salgado, Stefan Michiels, Sherene Loi, Fabrice André, Nikos Paragios, Maria Vakalopoulou:
Self-supervised Nuclei Segmentation in Histopathological Images Using Attention. 393-402 - Zhongling Wang, Mahdi S. Hosseini, Adyn Miles, Konstantinos N. Plataniotis, Zhou Wang:
FocusLiteNN: High Efficiency Focus Quality Assessment for Digital Pathology. 403-413
Histopathology Image Analysis
- Yutong Xie, Jianpeng Zhang, Zhibin Liao, Johan Verjans, Chunhua Shen, Yong Xia:
Pairwise Relation Learning for Semi-supervised Gland Segmentation. 417-427 - Donglin Di, Shengrui Li, Jun Zhang, Yue Gao:
Ranking-Based Survival Prediction on Histopathological Whole-Slide Images. 428-438 - Zeyu Gao, Pargorn Puttapirat, Jiangbo Shi, Chen Li:
Renal Cell Carcinoma Detection and Subtyping with Minimal Point-Based Annotation in Whole-Slide Images. 439-448 - Lichao Xiao, Jin-Gang Yu, Zhifeng Liu, Jiarong Ou, Shule Deng, Zhenhua Yang, Yuanqing Li:
Censoring-Aware Deep Ordinal Regression for Survival Prediction from Pathological Images. 449-458 - Yushan Zheng, Zhiguo Jiang, Haopeng Zhang, Fengying Xie, Jun Shi:
Tracing Diagnosis Paths on Histopathology WSIs for Diagnostically Relevant Case Recommendation. 459-469 - Marvin Lerousseau, Maria Vakalopoulou, Marion Classe, Julien Adam, Enzo Battistella, Alexandre Carré, Théo Estienne, Théophraste Henry, Eric Deutsch, Nikos Paragios:
Weakly Supervised Multiple Instance Learning Histopathological Tumor Segmentation. 470-479 - Christian Abbet, Inti Zlobec, Behzad Bozorgtabar, Jean-Philippe Thiran:
Divide-and-Rule: Self-Supervised Learning for Survival Analysis in Colorectal Cancer. 480-489 - Mengran Fan, Tapabrata Chakraborti, Eric I-Chao Chang, Yan Xu, Jens Rittscher:
Microscopic Fine-Grained Instance Classification Through Deep Attention. 490-499 - Yiqing Shen, Jing Ke:
A Deformable CRF Model for Histopathology Whole-Slide Image Classification. 500-508 - Haocheng Shen, Kuan Tian, Pei Dong, Jun Zhang, Kezhou Yan, Shannon Che, Jianhua Yao, Pifu Luo, Xiao Han:
Deep Active Learning for Breast Cancer Segmentation on Immunohistochemistry Images. 509-518 - Philip Chikontwe, Meejeong Kim, Soo Jeong Nam, Heounjeong Go, Sang Hyun Park:
Multiple Instance Learning with Center Embeddings for Histopathology Classification. 519-528 - Ashwin Raju, Jiawen Yao, Mohammad MinHazul Haq, Jitendra Jonnagaddala, Junzhou Huang:
Graph Attention Multi-instance Learning for Accurate Colorectal Cancer Staging. 529-539 - David Joon Ho, Narasimhan P. Agaram, Peter J. Schüffler, Chad M. Vanderbilt, Marc-Henri Jean, Meera R. Hameed, Thomas J. Fuchs:
Deep Interactive Learning: An Efficient Labeling Approach for Deep Learning-Based Osteosarcoma Treatment Response Assessment. 540-549 - Akash Parvatikar, Om Choudhary, Arvind Ramanathan, Olga Navolotskaia, Gloria Carter, Akif Burak Tosun, Jeffrey L. Fine, S. Chakra Chennubhotla:
Modeling Histological Patterns for Differential Diagnosis of Atypical Breast Lesions. 550-560 - Chen Jin, Ryutaro Tanno, Moucheng Xu, Thomy Mertzanidou, Daniel C. Alexander:
Foveation for Segmentation of Mega-Pixel Histology Images. 561-571 - Juan S. Lara, Victor H. Contreras O., Sebastian Otálora, Henning Müller, Fabio A. González:
Multimodal Latent Semantic Alignment for Automated Prostate Tissue Classification and Retrieval. 572-581
Opthalmology
- Shaoteng Liu, Lijun Gong, Kai Ma, Yefeng Zheng:
GREEN: a Graph REsidual rE-ranking Network for Grading Diabetic Retinopathy. 585-594 - Kyoung Jin Noh, Sang Jun Park, Soochahn Lee:
Combining Fundus Images and Fluorescein Angiography for Artery/Vein Classification Using the Hierarchical Vessel Graph Network. 595-605 - Chen Huang, Keren Xie, Yuhan Zhang, Mingchao Li, Zhongmin Wang, Qiang Chen:
Adaptive Dictionary Learning Based Multimodal Branch Retinal Vein Occlusion Fusion. 606-615 - Wenting Chen, Shuang Yu, Junde Wu, Kai Ma, Cheng Bian, Chunyan Chu, Linlin Shen, Yefeng Zheng:
TR-GAN: Topology Ranking GAN with Triplet Loss for Retinal Artery/Vein Classification. 616-625 - Liu Li, Xiaofei Wang, Mai Xu, Hanruo Liu, Ximeng Chen:
DeepGF: Glaucoma Forecast Using the Sequential Fundus Images. 626-635 - Adnan Qayyum, Waqas Sultani, Fahad Shamshad, Junaid Qadir, Rashid Tufail:
Single-Shot Retinal Image Enhancement Using Deep Image Priors. 636-646 - Yuhan Zhang, Chen Huang, Mingchao Li, Sha Xie, Keren Xie, Zexuan Ji, Songtao Yuan, Qiang Chen:
Robust Layer Segmentation Against Complex Retinal Abnormalities for en face OCTA Generation. 647-655 - Ke Wang, Xiaohong Liu, Kang Zhang, Ting Chen, Guangyu Wang:
Anterior Segment Eye Lesion Segmentation with Advanced Fusion Strategies and Auxiliary Tasks. 656-664 - Adrian Galdran, Jose Dolz, Hadi Chakor, Hervé Lombaert, Ismail Ben Ayed:
Cost-Sensitive Regularization for Diabetic Retinopathy Grading from Eye Fundus Images. 665-674 - Yongqiang Huang, Wenjun Xia, Zexin Lu, Yan Liu, Jiliu Zhou, Leyuan Fang, Yi Zhang:
Disentanglement Network for Unsupervised Speckle Reduction of Optical Coherence Tomography Images. 675-684 - Dongyi Fan, Chengfen Zhang, Bin Lv, Lilong Wang, Guanzheng Wang, Min Wang, Chuanfeng Lv, Guotong Xie:
Positive-Aware Lesion Detection Network with Cross-scale Feature Pyramid for OCT Images. 685-693 - Arianne Tran, Jakob Weiss, Shadi Albarqouni, Shahrooz Faghih Roohi, Nassir Navab:
Retinal Layer Segmentation Reformulated as OCT Language Processing. 694-703 - Jinkui Hao, Huazhu Fu, Yanwu Xu, Yan Hu, Fei Li, Xiulan Zhang, Jiang Liu, Yitian Zhao:
Reconstruction and Quantification of 3D Iris Surface for Angle-Closure Glaucoma Detection in Anterior Segment OCT. 704-714 - Huaying Hao, Huazhu Fu, Yanwu Xu, Jianlong Yang, Fei Li, Xiulan Zhang, Jiang Liu, Yitian Zhao:
Open-Appositional-Synechial Anterior Chamber Angle Classification in AS-OCT Sequences. 715-724 - Munan Ning, Cheng Bian, Donghuan Lu, Hong-Yu Zhou, Shuang Yu, Chenglang Yuan, Yang Guo, Yaohua Wang, Kai Ma, Yefeng Zheng:
A Macro-Micro Weakly-Supervised Framework for AS-OCT Tissue Segmentation. 725-734 - Lei Ye, Weifang Zhu, Dengsen Bao, Shuanglang Feng, Xinjian Chen:
Macular Hole and Cystoid Macular Edema Joint Segmentation by Two-Stage Network and Entropy Minimization. 735-744 - Fei Ding, Gang Yang, Dayong Ding, Gangwei Cheng:
Retinal Nerve Fiber Layer Defect Detection with Position Guidance. 745-754 - Yuan Lan, Yang Xiang, Luchan Zhang:
An Elastic Interaction-Based Loss Function for Medical Image Segmentation. 755-764 - Shihao Zhang, Huazhu Fu, Yanwu Xu, Yanxia Liu, Mingkui Tan:
Retinal Image Segmentation with a Structure-Texture Demixing Network. 765-774 - Mo Zhang, Fei Yu, Jie Zhao, Li Zhang, Quanzheng Li:
BEFD: Boundary Enhancement and Feature Denoising for Vessel Segmentation. 775-785 - Rui Xu, Tiantian Liu, Xinchen Ye, Lin Lin, Yen-Wei Chen:
Boosting Connectivity in Retinal Vessel Segmentation via a Recursive Semantics-Guided Network. 786-795 - Wei Wang, Jiafu Zhong, Huisi Wu, Zhenkun Wen, Jing Qin:
RVSeg-Net: An Efficient Feature Pyramid Cascade Network for Retinal Vessel Segmentation. 796-805
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