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23rd MICCAI 2020: Lima, Peru - Part V
- Anne L. Martel
, Purang Abolmaesumi
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
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
Automated Measurements of Key Morphological Features of Human Embryos for IVF. 25-35 - Chenhao Wang
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
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
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
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
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
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
Towards Neuron Segmentation from Macaque Brain Images: A Weakly Supervised Approach. 194-203 - Henry F. J. Tregidgo
3D Reconstruction and Segmentation of Dissection Photographs for MRI-Free Neuropathology. 204-214 - Jean 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
A Weakly Supervised Deep Learning Approach for Detecting Malaria and Sickle Cells in Blood Films. 226-235 - Mihoko Shimano, Yuta Asano
Imaging Scattering Characteristics of Tissue in Transmitted Microscopy. 236-245 - Ario Sadafi, Asya Makhro
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
Processing-Aware Real-Time Rendering for Optimized Tissue Visualization in Intraoperative 4D OCT. 267-276
Cell Segmentation and Stain Normalization
- Shengcong Chen
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
Weakly-Supervised Nucleus Segmentation Based on Point Annotations: A Coarse-to-Fine Self-Stimulated Learning Strategy. 299-308 - Dwarikanath Mahapatra, Behzad Bozorgtabar
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
Self-supervised Nuclei Segmentation in Histopathological Images Using Attention. 393-402 - Zhongling Wang
FocusLiteNN: High Efficiency Focus Quality Assessment for Digital Pathology. 403-413
Histopathology Image Analysis
- Yutong Xie
Pairwise Relation Learning for Semi-supervised Gland Segmentation. 417-427 - Donglin Di
Ranking-Based Survival Prediction on Histopathological Whole-Slide Images. 428-438 - Zeyu Gao
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
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
Divide-and-Rule: Self-Supervised Learning for Survival Analysis in Colorectal Cancer. 480-489 - Mengran Fan, Tapabrata Chakraborti, Eric I-Chao Chang, Yan Xu
Microscopic Fine-Grained Instance Classification Through Deep Attention. 490-499 - Yiqing Shen
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
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
Graph Attention Multi-instance Learning for Accurate Colorectal Cancer Staging. 529-539 - David Joon Ho
Deep Interactive Learning: An Efficient Labeling Approach for Deep Learning-Based Osteosarcoma Treatment Response Assessment. 540-549 - Akash Parvatikar
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
Multimodal Latent Semantic Alignment for Automated Prostate Tissue Classification and Retrieval. 572-581
Opthalmology
- Shaoteng Liu
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
TR-GAN: Topology Ranking GAN with Triplet Loss for Retinal Artery/Vein Classification. 616-625 - Liu Li
DeepGF: Glaucoma Forecast Using the Sequential Fundus Images. 626-635 - Adnan Qayyum, Waqas Sultani
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
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
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
Open-Appositional-Synechial Anterior Chamber Angle Classification in AS-OCT Sequences. 715-724 - Munan Ning, Cheng Bian
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
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
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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