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ORCID21st MICCAI 2018: Granada, Spain
- Alejandro F. Frangi, Julia A. Schnabel, Christos Davatzikos, Carlos Alberola-López, Gabor Fichtinger:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part IV. Lecture Notes in Computer Science 11073, Springer 2018, ISBN 978-3-030-00936-6
Computer Assisted Interventions: Image Guided Interventions and Surgery
- Felix J. S. Bragman, Ryutaro Tanno, Zach Eaton-Rosen, Wenqi Li
, David J. Hawkes, Sébastien Ourselin, Daniel C. Alexander, Jamie R. McClelland, M. Jorge Cardoso:
Uncertainty in Multitask Learning: Joint Representations for Probabilistic MR-only Radiotherapy Planning. 3-11 - Andrea Mendizabal, Tatiana Fountoukidou, Jan Hermann, Raphael Sznitman, Stephane Cotin:
A Combined Simulation and Machine Learning Approach for Image-Based Force Classification During Robotized Intravitreal Injections. 12-20 - Shekoofeh Azizi, Pingkun Yan, Amir M. Tahmasebi, Peter A. Pinto, Bradford J. Wood, Jin Tae Kwak, Sheng Xu, Baris Turkbey, Peter L. Choyke, Parvin Mousavi, Purang Abolmaesumi:
Learning from Noisy Label Statistics: Detecting High Grade Prostate Cancer in Ultrasound Guided Biopsy. 21-29 - Jie Luo, Matthew Toews, Inês Machado, Sarah F. Frisken, Miaomiao Zhang, Frank Preiswerk, Alireza Sedghi, Hongyi Ding, Steve Pieper, Polina Golland, Alexandra J. Golby, Masashi Sugiyama, William M. Wells III:
A Feature-Driven Active Framework for Ultrasound-Based Brain Shift Compensation. 30-38 - Richard Modrzejewski, Toby Collins, Adrien Bartoli, Alexandre Hostettler, Jacques Marescaux:
Soft-Body Registration of Pre-operative 3D Models to Intra-operative RGBD Partial Body Scans. 39-46 - Jack H. Noble, Robert F. Labadie, Benoit M. Dawant:
Automatic Classification of Cochlear Implant Electrode Cavity Positioning. 47-54 - Bastian Bier, Mathias Unberath, Jan-Nico Zaech, Javad Fotouhi, Mehran Armand, Greg Osgood, Nassir Navab, Andreas K. Maier:
X-ray-transform Invariant Anatomical Landmark Detection for Pelvic Trauma Surgery. 55-63 - Ayushi Sinha, Xingtong Liu, Austin Reiter, Masaru Ishii, Gregory D. Hager, Russell H. Taylor:
Endoscopic Navigation in the Absence of CT Imaging. 64-71 - Jagadeesan Jayender, Brian Arun Xavier, Franklin King, Ahmed Hosny, David Black, Steve Pieper, Ali Tavakkoli:
A Novel Mixed Reality Navigation System for Laparoscopy Surgery. 72-80 - Alina Giger, Robin Sandkühler, Christoph Jud, Grzegorz Bauman, Oliver Bieri, Rares Salomir, Philippe C. Cattin:
Respiratory Motion Modelling Using cGANs. 81-88 - Chloé Audigier, Younsu Kim, Nicholas Ellens, Emad M. Boctor:
Physics-Based Simulation to Enable Ultrasound Monitoring of HIFU Ablation: An MRI Validation. 89-97 - Mathias Unberath, Jan-Nico Zaech, Sing Chun Lee, Bastian Bier, Javad Fotouhi, Mehran Armand, Nassir Navab:
DeepDRR - A Catalyst for Machine Learning in Fluoroscopy-Guided Procedures. 98-106 - Javad Fotouhi, Mathias Unberath, Giacomo Taylor, Arash Ghaani Farashahi, Bastian Bier, Russell H. Taylor, Greg Osgood, Mehran Armand, Nassir Navab:
Exploiting Partial Structural Symmetry for Patient-Specific Image Augmentation in Trauma Interventions. 107-115 - Siming Bayer, Nishant Ravikumar, Maddalena Strumia, Xiaoguang Tong, Ying Gao, Martin Ostermeier, Rebecca Fahrig, Andreas K. Maier:
Intraoperative Brain Shift Compensation Using a Hybrid Mixture Model. 116-124 - Carolina Raposo, Cristóvão Sousa, Luis Ribeiro, Rui Melo, João Pedro Barreto, João Oliveira, Pedro Marques, Fernando Fonseca:
Video-Based Computer Aided Arthroscopy for Patient Specific Reconstruction of the Anterior Cruciate Ligament. 125-133 - Puyang Wang, Vishal M. Patel, Ilker Hacihaliloglu:
Simultaneous Segmentation and Classification of Bone Surfaces from Ultrasound Using a Multi-feature Guided CNN. 134-142 - Jordan Geurten, Wenyao Xia, Uditha L. Jayarathne, Terry M. Peters, Elvis C. S. Chen:
Endoscopic Laser Surface Scanner for Minimally Invasive Abdominal Surgeries. 143-150 - Ahmet Tuysuzoglu, Jeremy Tan, Kareem Eissa, Atilla P. Kiraly, Mamadou Diallo, Ali Kamen:
Deep Adversarial Context-Aware Landmark Detection for Ultrasound Imaging. 151-158 - Emran Mohammad Abu Anas, Haichong K. Zhang, Jin Kang, Emad M. Boctor:
Towards a Fast and Safe LED-Based Photoacoustic Imaging Using Deep Convolutional Neural Network. 159-167 - Herman Alexander Jaeger, Stephen Hinds, Pádraig Cantillon-Murphy:
An Open Framework Enabling Electromagnetic Tracking in Image-Guided Interventions. 168-175 - Masahiro Oda, Holger R. Roth, Takayuki Kitasaka, Kazuhiro Furukawa, Ryoji Miyahara, Yoshiki Hirooka, Hidemi Goto, Nassir Navab, Kensaku Mori:
Colon Shape Estimation Method for Colonoscope Tracking Using Recurrent Neural Networks. 176-184 - Zhongyi Han, Benzheng Wei, Stephanie Leung, Jonathan Chung, Shuo Li:
Towards Automatic Report Generation in Spine Radiology Using Weakly Supervised Framework. 185-193
Computer Assisted Interventions: Surgical Planning, Simulation and Work Flow Analysis
- Rogers Jeffrey Leo John, Jignesh M. Patel, Andrew L. Alexander, Vikas Singh, Nagesh Adluru:
A Natural Language Interface for Dissemination of Reproducible Biomedical Data Science. 197-205 - William Mandel, Olivier Turcot, Dejan Knez, Stefan Parent, Samuel Kadoury:
Spatiotemporal Manifold Prediction Model for Anterior Vertebral Body Growth Modulation Surgery in Idiopathic Scoliosis. 206-213 - Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller:
Evaluating Surgical Skills from Kinematic Data Using Convolutional Neural Networks. 214-221 - Nils Gessert, Torben Priegnitz, Thore Saathoff, Sven-Thomas Antoni, David Meyer, Moritz Franz Hamann, Klaus-Peter Jünemann, Christoph Otte, Alexander Schlaefer:
Needle Tip Force Estimation Using an OCT Fiber and a Fused convGRU-CNN Architecture. 222-229 - Ehsan Golkar, Pramod P. Rao, Leo Joskowicz, Afshin Gangi, Caroline Essert:
Fast GPU Computation of 3D Isothermal Volumes in the Vicinity of Major Blood Vessels for Multiprobe Cryoablation Simulation. 230-237 - Alejandro Granados, Matteo Mancini, Sjoerd B. Vos, Oeslle Lucena, Vejay Vakharia, Roman Rodionov, Anna Miserocchi, Andrew W. McEvoy, John S. Duncan, Rachel Sparks, Sébastien Ourselin:
A Machine Learning Approach to Predict Instrument Bending in Stereotactic Neurosurgery. 238-246 - Daochang Liu, Tingting Jiang:
Deep Reinforcement Learning for Surgical Gesture Segmentation and Classification. 247-255 - Evangelos B. Mazomenos, Kamakshi Bansal, Bruce Martin, Andrew P. T. Smith, Susan Wright, Danail Stoyanov:
Automated Performance Assessment in Transoesophageal Echocardiography with Convolutional Neural Networks. 256-264 - Odysseas Zisimopoulos, Evangello Flouty, Imanol Luengo, Petros Giataganas, Jean Nehme, Andre Chow, Danail Stoyanov:
DeepPhase: Surgical Phase Recognition in CATARACTS Videos. 265-272 - Aneeq Zia, Andrew Hung, Irfan A. Essa, Anthony M. Jarc:
Surgical Activity Recognition in Robot-Assisted Radical Prostatectomy Using Deep Learning. 273-280 - Robert S. DiPietro, Gregory D. Hager:
Unsupervised Learning for Surgical Motion by Learning to Predict the Future. 281-288
Computer Assisted Interventions: Visualization and Augmented Reality
- Bhavya Ajani, Aditya Bharadwaj, Karthik Krishnan:
Volumetric Clipping Surface: Un-occluded Visualization of Structures Preserving Depth Cues into Surrounding Organs. 291-298 - Jonas Hajek, Mathias Unberath, Javad Fotouhi, Bastian Bier, Sing Chun Lee, Greg Osgood, Andreas K. Maier, Mehran Armand, Nassir Navab:
Closing the Calibration Loop: An Inside-Out-Tracking Paradigm for Augmented Reality in Orthopedic Surgery. 299-306 - Mirek Janatka, Ashwin Sridhar, John D. Kelly, Danail Stoyanov:
Higher Order of Motion Magnification for Vessel Localisation in Surgical Video. 307-314 - Xiongbiao Luo, Ying Wan, Hui-Qing Zeng, Yingying Guo, Henry Chidozie Ewurum, Xiao-Bin Zhang, A. Jonathan McLeod, Terry M. Peters:
Simultaneous Surgical Visibility Assessment, Restoration, and Augmented Stereo Surface Reconstruction for Robotic Prostatectomy. 315-323 - Raabid Hussain, Alain Lalande, Roberto Marroquin, Kibrom Berihu Girum, Caroline Guigou, Alexis Bozorg Grayeli:
Real-Time Augmented Reality for Ear Surgery. 324-331 - Christine Tanner, Rastislav Starkov, Michael Bajka, Orcun Goksel:
Framework for Fusion of Data- and Model-Based Approaches for Ultrasound Simulation. 332-339
Image Segmentation Methods: General Image Segmentation Methods, Measures and Applications
- Sahar Yousefi, Hessam Sokooti, Mohamed S. Elmahdy, Femke P. Peters, Mohammad T. Manzuri Shalmani, Roel T. Zinkstok, Marius Staring:
Esophageal Gross Tumor Volume Segmentation Using a 3D Convolutional Neural Network. 343-351 - Zhuo Zhao, Lin Yang, Hao Zheng, Ian H. Guldner, Siyuan Zhang, Danny Z. Chen:
Deep Learning Based Instance Segmentation in 3D Biomedical Images Using Weak Annotation. 352-360 - Firat Özdemir, Philipp Fürnstahl, Orçun Göksel:
Learn the New, Keep the Old: Extending Pretrained Models with New Anatomy and Images. 361-369 - Dong Nie, Yaozong Gao, Li Wang, Dinggang Shen:
ASDNet: Attention Based Semi-supervised Deep Networks for Medical Image Segmentation. 370-378 - Meet P. Shah, S. N. Merchant, Suyash P. Awate:
MS-Net: Mixed-Supervision Fully-Convolutional Networks for Full-Resolution Segmentation. 379-387 - Annika Reinke, Matthias Eisenmann, Sinan Onogur, Marko Stankovic, Patrick Scholz, Peter M. Full, Hrvoje Bogunovic, Bennett A. Landman, Oskar Maier, Bjoern H. Menze, Gregory C. Sharp, Korsuk Sirinukunwattana, Stefanie Speidel, Fons van der Sommen, Guoyan Zheng, Henning Müller, Michal Kozubek, Tal Arbel, Andrew P. Bradley, Pierre Jannin, Annette Kopp-Schneider, Lena Maier-Hein:
How to Exploit Weaknesses in Biomedical Challenge Design and Organization. 388-395 - Jinzheng Cai, Youbao Tang, Le Lu, Adam P. Harrison, Ke Yan, Jing Xiao, Lin Yang, Ronald M. Summers:
Accurate Weakly-Supervised Deep Lesion Segmentation Using Large-Scale Clinical Annotations: Slice-Propagated 3D Mask Generation from 2D RECIST. 396-404 - Youbao Tang, Adam P. Harrison, Mohammadhadi Bagheri, Jing Xiao, Ronald M. Summers:
Semi-automatic RECIST Labeling on CT Scans with Cascaded Convolutional Neural Networks. 405-413
Image Segmentation Methods: Multi-organ Segmentation
- Holger R. Roth, Chen Shen, Hirohisa Oda, Takaaki Sugino, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori:
A Multi-scale Pyramid of 3D Fully Convolutional Networks for Abdominal Multi-organ Segmentation. 417-425 - Hideki Kakeya, Toshiyuki Okada, Yukio Oshiro:
3D U-JAPA-Net: Mixture of Convolutional Networks for Abdominal Multi-organ CT Segmentation. 426-433 - Yan Wang, Yuyin Zhou, Peng Tang, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Training Multi-organ Segmentation Networks with Sample Selection by Relaxed Upper Confident Bound. 434-442
Image Segmentation Methods: Abdominal Segmentation Methods
- Yingda Xia, Lingxi Xie, Fengze Liu, Zhuotun Zhu, Elliot K. Fishman, Alan L. Yuille:
Bridging the Gap Between 2D and 3D Organ Segmentation with Volumetric Fusion Net. 445-453 - Junning Li, Pechin Lo, Ahmed Taha, Hang Wu, Tao Zhao:
Segmentation of Renal Structures for Image-Guided Surgery. 454-462 - Ahmed Taha, Pechin Lo, Junning Li, Tao Zhao:
Kid-Net: Convolution Networks for Kidney Vessels Segmentation from CT-Volumes. 463-471 - Tianyou Dou, Lijuan Zhang, Hairong Zheng, Wu Zhou:
Local and Non-local Deep Feature Fusion for Malignancy Characterization of Hepatocellular Carcinoma. 472-479 - Jingting Ma, Feng Lin, Stefan Wesarg, Marius Erdt:
A Novel Bayesian Model Incorporating Deep Neural Network and Statistical Shape Model for Pancreas Segmentation. 480-487 - Sihang Zhou, Dong Nie, Ehsan Adeli, Yaozong Gao, Li Wang, Jianping Yin, Dinggang Shen:
Fine-Grained Segmentation Using Hierarchical Dilated Neural Networks. 488-496 - Xin Yang, Haoran Dou, Ran Li, Xu Wang, Cheng Bian, Shengli Li, Dong Ni, Pheng-Ann Heng:
Generalizing Deep Models for Ultrasound Image Segmentation. 497-505 - Eli Gibson, Yipeng Hu, Nooshin Ghavami, Hashim Uddin Ahmed, Caroline M. Moore, Mark Emberton, Henkjan J. Huisman, Dean C. Barratt:
Inter-site Variability in Prostate Segmentation Accuracy Using Deep Learning. 506-514 - Tom Brosch, Jochen Peters, Alexandra Groth, Thomas Stehle, Jürgen Weese:
Deep Learning-Based Boundary Detection for Model-Based Segmentation with Application to MR Prostate Segmentation. 515-522 - Yi Wang, Zijun Deng, Xiaowei Hu, Lei Zhu, Xin Yang, Xuemiao Xu, Pheng-Ann Heng, Dong Ni:
Deep Attentional Features for Prostate Segmentation in Ultrasound. 523-530 - Davood Karimi, Qi Zeng, Prateek Mathur, Apeksha Avinash, Sara Mahdavi, Ingrid Spadinger, Purang Abolmaesumi, Septimiu E. Salcudean:
Accurate and Robust Segmentation of the Clinical Target Volume for Prostate Brachytherapy. 531-539
Image Segmentation Methods: Cardiac Segmentation Methods
- Amin Katouzian, Hongzhi Wang, Sailesh Conjeti, Hui Tang, Ehsan Dehghan, Alexandros Karargyris, Anup Pillai, Kenneth L. Clarkson, Nassir Navab:
Hashing-Based Atlas Ranking and Selection for Multiple-Atlas Segmentation. 543-551 - Linlin Yao, Yihui Cao, Qinhua Jin, Jing Jing, Yundai Chen, Jianan Li, Rui Zhu:
Corners Detection for Bioresorbable Vascular Scaffolds Segmentation in IVOCT Images. 552-560 - Yuanhan Mo, Fangde Liu, Douglas McIlwraith, Guang Yang, Jingqing Zhang, Taigang He, Yike Guo:
The Deep Poincaré Map: A Novel Approach for Left Ventricle Segmentation. 561-568 - Zenglin Shi, Guodong Zeng, Le Zhang, Xiahai Zhuang, Lei Li, Guang Yang, Guoyan Zheng:
Bayesian VoxDRN: A Probabilistic Deep Voxelwise Dilated Residual Network for Whole Heart Segmentation from 3D MR Images. 569-577 - Robert Robinson, Ozan Oktay, Wenjia Bai, Vanya V. Valindria, Mihir M. Sanghvi, Nay Aung, José Miguel Paiva, Filip Zemrak, Kenneth Fung, Elena Lukaschuk, Aaron M. Lee, Valentina Carapella, Young Jin Kim, Bernhard Kainz, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Chris Page, Daniel Rueckert, Ben Glocker:
Real-Time Prediction of Segmentation Quality. 578-585 - Wenjia Bai, Hideaki Suzuki, Chen Qin, Giacomo Tarroni, Ozan Oktay, Paul M. Matthews, Daniel Rueckert:
Recurrent Neural Networks for Aortic Image Sequence Segmentation with Sparse Annotations. 586-594 - Jinming Duan, Jo Schlemper, Wenjia Bai, Timothy J. W. Dawes, Ghalib Bello, Georgia Doumou, Antonio M. Simoes Monteiro de Marvao, Declan P. O'Regan, Daniel Rueckert:
Deep Nested Level Sets: Fully Automated Segmentation of Cardiac MR Images in Patients with Pulmonary Hypertension. 595-603 - Fuping Wu, Lei Li, Guang Yang, Tom Wong, Raad Mohiaddin, David N. Firmin, Jennifer Keegan, Lingchao Xu, Xiahai Zhuang:
Atrial Fibrosis Quantification Based on Maximum Likelihood Estimator of Multivariate Images. 604-612 - Wenjun Yan, Yuanyuan Wang, Zeju Li, Rob J. van der Geest, Qian Tao:
Left Ventricle Segmentation via Optical-Flow-Net from Short-Axis Cine MRI: Preserving the Temporal Coherence of Cardiac Motion. 613-621 - Suyu Dong, Gongning Luo, Kuanquan Wang, Shaodong Cao, Ashley Mercado, Olga Shmuilovich, Henggui Zhang, Shuo Li:
VoxelAtlasGAN: 3D Left Ventricle Segmentation on Echocardiography with Atlas Guided Generation and Voxel-to-Voxel Discrimination. 622-629 - Markus A. Degel, Nassir Navab, Shadi Albarqouni:
Domain and Geometry Agnostic CNNs for Left Atrium Segmentation in 3D Ultrasound. 630-637
Image Segmentation Methods: Chest, Lung and Spine Segmentation
- Na Wang, Cheng Bian, Yi Wang, Min Xu, Chenchen Qin, Xin Yang, Tianfu Wang, Anhua Li, Dinggang Shen, Dong Ni:
Densely Deep Supervised Networks with Threshold Loss for Cancer Detection in Automated Breast Ultrasound. 641-648 - Anjany Sekuboyina, Markus Rempfler, Jan Kukacka, Giles Tetteh, Alexander Valentinitsch, Jan S. Kirschke, Bjoern H. Menze:
Btrfly Net: Vertebrae Labelling with Energy-Based Adversarial Learning of Local Spine Prior. 649-657 - Maria Vakalopoulou, Guillaume Chassagnon, Norbert Bus, Rafael Marini, Evangelia I. Zacharaki, Marie-Pierre Revel, Nikos Paragios:
AtlasNet: Multi-atlas Non-linear Deep Networks for Medical Image Segmentation. 658-666 - Fausto Milletari, Nicola Rieke, Maximilian Baust, Marco Esposito, Nassir Navab:
CFCM: Segmentation via Coarse to Fine Context Memory. 667-674
Image Segmentation Methods: Other Segmentation Applications
- Tianyi Zhao, Zhaozheng Yin:
Pyramid-Based Fully Convolutional Networks for Cell Segmentation. 677-685 - Erica M. Rutter, John H. Lagergren, Kevin B. Flores:
Automated Object Tracing for Biomedical Image Segmentation Using a Deep Convolutional Neural Network. 686-694 - Mo Zhang, Xiang Li, Mengjia Xu, Quanzheng Li:
RBC Semantic Segmentation for Sickle Cell Disease Based on Deformable U-Net. 695-702 - Dongqing Zhang, Jianing Wang, Jack H. Noble, Benoit M. Dawant:
Accurate Detection of Inner Ears in Head CTs Using a Deep Volume-to-Volume Regression Network with False Positive Suppression and a Shape-Based Constraint. 703-711 - Andreas Wirtz, Sudesh Ganapati Mirashi, Stefan Wesarg:
Automatic Teeth Segmentation in Panoramic X-Ray Images Using a Coupled Shape Model in Combination with a Neural Network. 712-719 - Miaoyun Zhao, Li Wang, Jiawei Chen, Dong Nie, Yulai Cong, Sahar Ahmad, Angela Ho, Peng Yuan, Steve H. Fung, Hannah H. Deng, James J. Xia, Dinggang Shen:
Craniomaxillofacial Bony Structures Segmentation from MRI with Deep-Supervision Adversarial Learning. 720-727 - Diego Alberto Patiño Cortes, Jonathan Avendaño, John Willian Branch:
Automatic Skin Lesion Segmentation on Dermoscopic Images by the Means of Superpixel Merging. 728-736 - Zahra Mirikharaji, Ghassan Hamarneh:
Star Shape Prior in Fully Convolutional Networks for Skin Lesion Segmentation. 737-745 - Tejas Sudharshan Mathai, Lingbo Jin, Vijay Gorantla, John M. Galeotti:
Fast Vessel Segmentation and Tracking in Ultra High-Frequency Ultrasound Images. 746-754 - Pengyue Zhang, Fusheng Wang, Yefeng Zheng:
Deep Reinforcement Learning for Vessel Centerline Tracing in Multi-modality 3D Volumes. 755-763
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