Medical image computing and computer assisted intervention -- MICCAI 2020 : 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings. Part V

The seven-volume set LNCS 12261, 12262, 12263, 12264, 12265, 12266, and 12267 constitutes the refereed proceedings of the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, held in Lima, Peru, in October 2020. The conference was held virtually due to the COVID-19 pandemic. The 542 revised full papers presented were carefully reviewed and selected from 1809 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: Machine learning methodologies Part II: Image reconstruction; prediction and diagnosis; cross-domain methods and reconstruction; domain adaptation; machine learning applications; generative adversarial networks Part III: CAI applications; image registration; instrumentation and surgical phase detection; navigation and visualization; ultrasound imaging; video image analysis Part IV: Segmentation; shape models and landmark detection Part V: Biological, optical, microscopic imaging; cell segmentation and stain normalization; histopathology image analysis; ophthalmology Part VI: Angiography and vessel analysis; breast imaging; colonoscopy; dermatology; fetal imaging; heart and lung imaging; musculoskeletal imaging Part VI: Brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; positron emission tomography Front Matter ....Pages i-xxxvii Front Matter ....Pages 1-1 Channel Embedding for Informative Protein Identification from Highly Multiplexed Images (Salma Abdel Magid, Won-Dong Jang, Denis Schapiro, Donglai Wei, James Tompkin, Peter K. Sorger et al.)....Pages 3-13 Demixing Calcium Imaging Data in C. elegans via Deformable Non-negative Matrix Factorization (Amin Nejatbakhsh, Erdem Varol, Eviatar Yemini, Vivek Venkatachalam, Albert Lin, Aravinthan D. T. Samuel et al.)....Pages 14-24 Automated Measurements of Key Morphological Features of Human Embryos for IVF (Brian D. Leahy, Won-Dong Jang, Helen Y. Yang, Robbert Struyven, Donglai Wei, Zhe Sun et al.)....Pages 25-35 A Novel Approach to Tongue Standardization and Feature Extraction (Chenhao Wang, Camilla Cattaneo, Jing Liu, Wender Bredie, Ella Pagliarini, Jon Sporring)....Pages 36-45 Patch-Based Non-local Bayesian Networks for Blind Confocal Microscopy Denoising (Saeed Izadi, Ghassan Hamarneh)....Pages 46-55 Attention-Guided Quality Assessment for Automated Cryo-EM Grid Screening (Hong Xu, David E. Timm, Shireen Y. Elhabian)....Pages 56-65 MitoEM Dataset: Large-Scale 3D Mitochondria Instance Segmentation from EM Images (Donglai Wei, Zudi Lin, Daniel Franco-Barranco, Nils Wendt, Xingyu Liu, Wenjie Yin et al.)....Pages 66-76 Learning Guided Electron Microscopy with Active Acquisition (Lu Mi, Hao Wang, Yaron Meirovitch, Richard Schalek, Srinivas C. Turaga, Jeff W. Lichtman et al.)....Pages 77-87 Neuronal Subcompartment Classification and Merge Error Correction (Hanyu Li, Michał Januszewski, Viren Jain, Peter H. Li)....Pages 88-98 Microtubule Tracking in Electron Microscopy Volumes (Nils Eckstein, Julia Buhmann, Matthew Cook, Jan Funke)....Pages 99-108 Leveraging Tools from Autonomous Navigation for Rapid, Robust Neuron Connectivity (Nathan Drenkow, Justin Joyce, Jordan Matelsky, Jennifer Heiko, Reem Larabi, Brock Wester et al.)....Pages 109-118 Statistical Atlas of C. elegans Neurons (Erdem Varol, Amin Nejatbakhsh, Ruoxi Sun, Gonzalo Mena, Eviatar Yemini, Oliver Hobert et al.)....Pages 119-129 Probabilistic Joint Segmentation and Labeling of C. elegans Neurons (Amin Nejatbakhsh, Erdem Varol, Eviatar Yemini, Oliver Hobert, Liam Paninski)....Pages 130-140 Segmenting Continuous but Sparsely-Labeled Structures in Super-Resolution Microscopy Using Perceptual Grouping (Jiabing Li, Camille Artur, Jason Eriksen, Badrinath Roysam, David Mayerich)....Pages 141-150 DISCo: Deep Learning, Instance Segmentation, and Correlations for Cell Segmentation in Calcium Imaging (Elke Kirschbaum, Alberto Bailoni, Fred A. Hamprecht)....Pages 151-162 Isotropic Reconstruction of 3D EM Images with Unsupervised Degradation Learning (Shiyu Deng, Xueyang Fu, Zhiwei Xiong, Chang Chen, Dong Liu, Xuejin Chen et al.)....Pages 163-173 Background and Illumination Correction for Time-Lapse Microscopy Data with Correlated Foreground (Tingying Peng, Lorenz Lamm, Dirk Loeffler, Nouraiz Ahmed, Nassir Navab, Timm Schroeder et al.)....Pages 174-183 Joint Spatial-Wavelet Dual-Stream Network for Super-Resolution (Zhen Chen, Xiaoqing Guo, Chen Yang, Bulat Ibragimov, Yixuan Yuan)....Pages 184-193 Towards Neuron Segmentation from Macaque Brain Images: A Weakly Supervised Approach (Meng Dong, Dong Liu, Zhiwei Xiong, Xuejin Chen, Yueyi Zhang, Zheng-Jun Zha et al.)....Pages 194-203 3D Reconstruction and Segmentation of Dissection Photographs for MRI-Free Neuropathology (Henry F. J. Tregidgo, Adri`Casamitjana, Caitlin S. Latimer, Mitchell D. Kilgore, Eleanor Robinson, Emily Blackburn et al.)....Pages 204-214 DistNet: Deep Tracking by Displacement Regression: Application to Bacteria Growing in the Mother Machine (Jean Ollion, Charles Ollion)....Pages 215-225 A Weakly Supervised Deep Learning Approach for Detecting Malaria and Sickle Cells in Blood Films (Petru Manescu, Christopher Bendkowski, Remy Claveau, Muna Elmi, Biobele J. Brown, Vijay Pawar et al.)....Pages 226-235 Imaging Scattering Characteristics of Tissue in Transmitted Microscopy (Mihoko Shimano, Yuta Asano, Shin Ishihara, Ryoma Bise, Imari Sato)....Pages 236-245 Attention Based Multiple Instance Learning for Classification of Blood Cell Disorders (Ario Sadafi, Asya Makhro, Anna Bogdanova, Nassir Navab, Tingying Peng, Shadi Albarqouni et al.)....Pages 246-256 A Generative Modeling Approach for Interpreting Population-Level Variability in Brain Structure (Ran Liu, Cem Subakan, Aishwarya H. Balwani, Jennifer Whitesell, Julie Harris, Sanmi Koyejo et al.)....Pages 257-266 Processing-Aware Real-Time Rendering for Optimized Tissue Visualization in Intraoperative 4D OCT (Jakob Weiss, Michael Sommersperger, Ali Nasseri, Abouzar Eslami, Ulrich Eck, Nassir Navab)....Pages 267-276 Front Matter ....Pages 277-277 Boundary-Assisted Region Proposal Networks for Nucleus Segmentation (Shengcong Chen, Changxing Ding, Dacheng Tao)....Pages 279-288 BCData: A Large-Scale Dataset and Benchmark for Cell Detection and Counting (Zhongyi Huang, Yao Ding, Guoli Song, Lin Wang, Ruizhe Geng, Hongliang He et al.)....Pages 289-298 Weakly-Supervised Nucleus Segmentation Based on Point Annotations: A Coarse-to-Fine Self-Stimulated Learning Strategy (Kuan Tian, Jun Zhang, Haocheng Shen, Kezhou Yan, Pei Dong, Jianhua Yao et al.)....Pages 299-308 Structure Preserving Stain Normalization of Histopathology Images Using Self Supervised Semantic Guidance (Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran, Ling Shao)....Pages 309-319 A Novel Loss Calibration Strategy for Object Detection Networks Training on Sparsely Annotated Pathological Datasets (Hansheng Li, Xin Han, Yuxin Kang, Xiaoshuang Shi, Mengdi Yan, Zixu Tong et al.)....Pages 320-329 Histopathological Stain Transfer Using Style Transfer Network with Adversarial Loss (Harshal Nishar, Nikhil Chavanke, Nitin Singhal)....Pages 330-340 Instance-Aware Self-supervised Learning for Nuclei Segmentation (Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng)....Pages 341-350 StyPath: Style-Transfer Data Augmentation for Robust Histology Image Classification (Pietro Antonio Cicalese, Aryan Mobiny, Pengyu Yuan, Jan Becker, Chandra Mohan, Hien Van Nguyen)....Pages 351-361 Multimarginal Wasserstein Barycenter for Stain Normalization and Augmentation (Saad Nadeem, Travis Hollmann, Allen Tannenbaum)....Pages 362-371 Corruption-Robust Enhancement of Deep Neural Networks for Classification of Peripheral Blood Smear Images (Songtao Zhang, Qingwen Ni, Bing Li, Shan Jiang, Wenyu Cai, Hang Chen et al.)....Pages 372-381 Multi-field of View Aggregation and Context Encoding for Single-Stage Nucleus Recognition (Tian Bai, Jiayu Xu, Fuyong Xing)....Pages 382-392 Self-supervised Nuclei Segmentation in Histopathological Images Using Attention (Mihir Sahasrabudhe, Stergios Christodoulidis, Roberto Salgado, Stefan Michiels, Sherene Loi, Fabrice André et al.)....Pages 393-402 FocusLiteNN: High Efficiency Focus Quality Assessment for Digital Pathology (Zhongling Wang, Mahdi S. Hosseini, Adyn Miles, Konstantinos N. Plataniotis, Zhou Wang)....Pages 403-413 Front Matter ....Pages 415-415 Pairwise Relation Learning for Semi-supervised Gland Segmentation (Yutong Xie, Jianpeng Zhang, Zhibin Liao, Johan Verjans, Chunhua Shen, Yong Xia)....Pages 417-427 Ranking-Based Survival Prediction on Histopathological Whole-Slide Images (Donglin Di, Shengrui Li, Jun Zhang, Yue Gao)....Pages 428-438 Renal Cell Carcinoma Detection and Subtyping with Minimal Point-Based Annotation in Whole-Slide Images (Zeyu Gao, Pargorn Puttapirat, Jiangbo Shi, Chen Li)....Pages 439-448 Censoring-Aware Deep Ordinal Regression for Survival Prediction from Pathological Images (Lichao Xiao, Jin-Gang Yu, Zhifeng Liu, Jiarong Ou, Shule Deng, Zhenhua Yang et al.)....Pages 449-458 Tracing Diagnosis Paths on Histopathology WSIs for Diagnostically Relevant Case Recommendation (Yushan Zheng, Zhiguo Jiang, Haopeng Zhang, Fengying Xie, Jun Shi)....Pages 459-469 Weakly Supervised Multiple Instance Learning Histopathological Tumor Segmentation (Marvin Lerousseau, Maria Vakalopoulou, Marion Classe, Julien Adam, Enzo Battistella, Alexandre Carré et al.)....Pages 470-479 Divide-and-Rule: Self-Supervised Learning for Survival Analysis in Colorectal Cancer (Christian Abbet, Inti Zlobec, Behzad Bozorgtabar, Jean-Philippe Thiran)....Pages 480-489 Microscopic Fine-Grained Instance Classification Through Deep Attention (Mengran Fan, Tapabrata Chakraborti, Eric I-Chao Chang, Yan Xu, Jens Rittscher)....Pages 490-499 A Deformable CRF Model for Histopathology Whole-Slide Image Classification (Yiqing Shen, Jing Ke)....Pages 500-508 Deep Active Learning for Breast Cancer Segmentation on Immunohistochemistry Images (Haocheng Shen, Kuan Tian, Pei Dong, Jun Zhang, Kezhou Yan, Shannon Che et al.)....Pages 509-518 Multiple Instance Learning with Center Embeddings for Histopathology Classification (Philip Chikontwe, Meejeong Kim, Soo Jeong Nam, Heounjeong Go, Sang Hyun Park)....Pages 519-528 Graph Attention Multi-instance Learning for Accurate Colorectal Cancer Staging (Ashwin Raju, Jiawen Yao, Mohammad MinHazul Haq, Jitendra Jonnagaddala, Junzhou Huang)....Pages 529-539 Deep Interactive Learning: An Efficient Labeling Approach for Deep Learning-Based Osteosarcoma Treatment Response Assessment (David Joon Ho, Narasimhan P. Agaram, Peter J. Schüffler, Chad M. Vanderbilt, Marc-Henri Jean, Meera R. Hameed et al.)....Pages 540-549 Modeling Histological Patterns for Differential Diagnosis of Atypical Breast Lesions (Akash Parvatikar, Om Choudhary, Arvind Ramanathan, Olga Navolotskaia, Gloria Carter, Akif Burak Tosun et al.)....Pages 550-560 Foveation for Segmentation of Mega-Pixel Histology Images (Chen Jin, Ryutaro Tanno, Moucheng Xu, Thomy Mertzanidou, Daniel C. Alexander)....Pages 561-571 Multimodal Latent Semantic Alignment for Automated Prostate Tissue Classification and Retrieval (Juan S. Lara, Victor H. Contreras O., Sebastián Otálora, Henning Müller, Fabio A. González)....Pages 572-581 Front Matter ....Pages 583-583 GREEN: a Graph REsidual rE-ranking Network for Grading Diabetic Retinopathy (Shaoteng Liu, Lijun Gong, Kai Ma, Yefeng Zheng)....Pages 585-594 Combining Fundus Images and Fluorescein Angiography for Artery/Vein Classification Using the Hierarchical Vessel Graph Network (Kyoung Jin Noh, Sang Jun Park, Soochahn Lee)....Pages 595-605 Adaptive Dictionary Learning Based Multimodal Branch Retinal Vein Occlusion Fusion (Chen Huang, Keren Xie, Yuhan Zhang, Mingchao Li, Zhongmin Wang, Qiang Chen)....Pages 606-615 TR-GAN: Topology Ranking GAN with Triplet Loss for Retinal Artery/Vein Classification (Wenting Chen, Shuang Yu, Junde Wu, Kai Ma, Cheng Bian, Chunyan Chu et al.)....Pages 616-625 DeepGF: Glaucoma Forecast Using the Sequential Fundus Images (Liu Li, Xiaofei Wang, Mai Xu, Hanruo Liu, Ximeng Chen)....Pages 626-635 Single-Shot Retinal Image Enhancement Using Deep Image Priors (Adnan Qayyum, Waqas Sultani, Fahad Shamshad, Junaid Qadir, Rashid Tufail)....Pages 636-646 Robust Layer Segmentation Against Complex Retinal Abnormalities for en face OCTA Generation (Yuhan Zhang, Chen Huang, Mingchao Li, Sha Xie, Keren Xie, Zexuan Ji et al.)....Pages 647-655 Anterior Segment Eye Lesion Segmentation with Advanced Fusion Strategies and Auxiliary Tasks (Ke Wang, Xiaohong Liu, Kang Zhang, Ting Chen, Guangyu Wang)....Pages 656-664 Cost-Sensitive Regularization for Diabetic Retinopathy Grading from Eye Fundus Images (Adrian Galdran, Jose Dolz, Hadi Chakor, Hervé Lombaert, Ismail Ben Ayed)....Pages 665-674 Disentanglement Network for Unsupervised Speckle Reduction of Optical Coherence Tomography Images (Yongqiang Huang, Wenjun Xia, Zexin Lu, Yan Liu, Jiliu Zhou, Leyuan Fang et al.)....Pages 675-684 Positive-Aware Lesion Detection Network with Cross-scale Feature Pyramid for OCT Images (Dongyi Fan, Chengfen Zhang, Bin Lv, Lilong Wang, Guanzheng Wang, Min Wang et al.)....Pages 685-693 Retinal Layer Segmentation Reformulated as OCT Language Processing (Arianne Tran, Jakob Weiss, Shadi Albarqouni, Shahrooz Faghi Roohi, Nassir Navab)....Pages 694-703 Reconstruction and Quantification of 3D Iris Surface for Angle-Closure Glaucoma Detection in Anterior Segment OCT (Jinkui Hao, Huazhu Fu, Yanwu Xu, Yan Hu, Fei Li, Xiulan Zhang et al.)....Pages 704-714 Open-Appositional-Synechial Anterior Chamber Angle Classification in AS-OCT Sequences (Huaying Hao, Huazhu Fu, Yanwu Xu, Jianlong Yang, Fei Li, Xiulan Zhang et al.)....Pages 715-724 A Macro-Micro Weakly-Supervised Framework for AS-OCT Tissue Segmentation (Munan Ning, Cheng Bian, Donghuan Lu, Hong-Yu Zhou, Shuang Yu, Chenglang Yuan et al.)....Pages 725-734 Macular Hole and Cystoid Macular Edema Joint Segmentation by Two-Stage Network and Entropy Minimization (Lei Ye, Weifang Zhu, Dengsen Bao, Shuanglang Feng, Xinjian Chen)....Pages 735-744 Retinal Nerve Fiber Layer Defect Detection with Position Guidance (Fei Ding, Gang Yang, Dayong Ding, Gangwei Cheng)....Pages 745-754 An Elastic Interaction-Based Loss Function for Medical Image Segmentation (Yuan Lan, Yang Xiang, Luchan Zhang)....Pages 755-764 Retinal Image Segmentation with a Structure-Texture Demixing Network (Shihao Zhang, Huazhu Fu, Yanwu Xu, Yanxia Liu, Mingkui Tan)....Pages 765-774 BEFD: Boundary Enhancement and Feature Denoising for Vessel Segmentation (Mo Zhang, Fei Yu, Jie Zhao, Li Zhang, Quanzheng Li)....Pages 775-785 Boosting Connectivity in Retinal Vessel Segmentation via a Recursive Semantics-Guided Network (Rui Xu, Tiantian Liu, Xinchen Ye, Lin Lin, Yen-Wei Chen)....Pages 786-795 RVSeg-Net: An Efficient Feature Pyramid Cascade Network for Retinal Vessel Segmentation (Wei Wang, Jiafu Zhong, Huisi Wu, Zhenkun Wen, Jing Qin)....Pages 796-805 Back Matter ....Pages 807-811