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22nd MICCAI 2019: Shenzhen, China
- Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, Ali R. Khan:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11764, Springer 2019, ISBN 978-3-030-32238-0
Optical Imaging
- Georgios Lazaridis, Marco Lorenzi, Sébastien Ourselin
, David Garway-Heath:
Enhancing OCT Signal by Fusion of GANs: Improving Statistical Power of Glaucoma Clinical Trials. 3-11 - Gongning Luo
A Deep Reinforcement Learning Framework for Frame-by-Frame Plaque Tracking on Intravascular Optical Coherence Tomography Image. 12-20 - Rongchang Zhao
Multi-index Optic Disc Quantification via MultiTask Ensemble Learning. 21-29 - Xin Wang, Lie Ju, Xin Zhao, Zongyuan Ge
Retinal Abnormalities Recognition Using Regional Multitask Learning. 30-38 - Xi Wang
Unifying Structure Analysis and Surrogate-Driven Function Regression for Glaucoma OCT Image Screening. 39-47 - Huazhu Fu
Evaluation of Retinal Image Quality Assessment Networks in Different Color-Spaces. 48-56 - Jiong Zhang
3D Surface-Based Geometric and Topological Quantification of Retinal Microvasculature in OCT-Angiography via Reeb Analysis. 57-65 - Hanene Ben Yedder, Majid Shokoufi, Ben Cardoen
Limited-Angle Diffuse Optical Tomography Image Reconstruction Using Deep Learning. 66-74 - He Zhao, Bingyu Yang
Data-Driven Enhancement of Blurry Retinal Images via Generative Adversarial Networks. 75-83 - Bo Wang
Dual Encoding U-Net for Retinal Vessel Segmentation. 84-92 - Ricardo J. Araújo
A Deep Learning Design for Improving Topology Coherence in Blood Vessel Segmentation. 93-101 - Shujun Wang
Boundary and Entropy-Driven Adversarial Learning for Fundus Image Segmentation. 102-110 - Bo Liu, Lin Gu, Feng Lu:
Unsupervised Ensemble Strategy for Retinal Vessel Segmentation. 111-119 - Yufan He, Aaron Carass, Yihao Liu, Bruno M. Jedynak, Sharon D. Solomon, Shiv Saidha, Peter A. Calabresi, Jerry L. Prince:
Fully Convolutional Boundary Regression for Retina OCT Segmentation. 120-128 - Pengshuai Yin
PM-Net: Pyramid Multi-label Network for Joint Optic Disc and Cup Segmentation. 129-137 - Chi Liu
Biological Age Estimated from Retinal Imaging: A Novel Biomarker of Aging. 138-146 - Xiang Jiang
Task Adaptive Metric Space for Medium-Shot Medical Image Classification. 147-155 - Weisen Wang, Zhiyan Xu, Weihong Yu, Jianchun Zhao, Jingyuan Yang, Feng He, Zhikun Yang, Di Chen, Dayong Ding, Youxin Chen, Xirong Li
Two-Stream CNN with Loose Pair Training for Multi-modal AMD Categorization. 156-164 - Thomas Kurmann, Pablo Márquez-Neila, Sebastian Wolf, Raphael Sznitman:
Deep Multi-label Classification in Affine Subspaces. 165-173 - Mhd Hasan Sarhan
Multi-scale Microaneurysms Segmentation Using Embedding Triplet Loss. 174-182 - Weilin Fu, Katharina Breininger
A Divide-and-Conquer Approach Towards Understanding Deep Networks. 183-191 - Rhona Asgari, José Ignacio Orlando, Sebastian M. Waldstein, Ferdinand Schlanitz, Magdalena Baratsits, Ursula Schmidt-Erfurth, Hrvoje Bogunovic:
Multiclass Segmentation as Multitask Learning for Drusen Segmentation in Retinal Optical Coherence Tomography. 192-200 - Jianfei Liu, Christine Shen, Tao Liu, Nancy Aguilera, Johnny Tam
Active Appearance Model Induced Generative Adversarial Network for Controlled Data Augmentation. 201-208 - Rong Zhang, Shuhan Tan, Ruixuan Wang, Siyamalan Manivannan
Biomarker Localization by Combining CNN Classifier and Generative Adversarial Network. 209-217 - Udaranga Wickramasinghe, Graham Knott, Pascal Fua:
Probabilistic Atlases to Enforce Topological Constraints. 218-226 - Brian Matejek, Donglai Wei, Xueying Wang
Synapse-Aware Skeleton Generation for Neural Circuits. 227-235 - Shuangjun Liu
Seeing Under the Cover: A Physics Guided Learning Approach for In-bed Pose Estimation. 236-245 - Changchun Yang, Fei Gao:
EDA-Net: Dense Aggregation of Deep and Shallow Information Achieves Quantitative Photoacoustic Blood Oxygenation Imaging Deep in Human Breast. 246-254 - Thomas Kurmann, Pablo Márquez-Neila, Siqing Yu, Marion Munk, Sebastian Wolf, Raphael Sznitman:
Fused Detection of Retinal Biomarkers in OCT Volumes. 255-263 - Yicheng Wu
Vessel-Net: Retinal Vessel Segmentation Under Multi-path Supervision. 264-272 - Hengrong Lan, Kang Zhou
Ki-GAN: Knowledge Infusion Generative Adversarial Network for Photoacoustic Image Reconstruction In Vivo. 273-281 - Suman Sedai
Uncertainty Guided Semi-supervised Segmentation of Retinal Layers in OCT Images. 282-290
Endoscopy
- Xiaoqing Guo
Triple ANet: Adaptive Abnormal-aware Attention Network for WCE Image Classification. 293-301 - Yuqi Fang
Selective Feature Aggregation Network with Area-Boundary Constraints for Polyp Segmentation. 302-310 - Sophia Bano
Deep Sequential Mosaicking of Fetoscopic Videos. 311-319 - Jiawei Ge
Landmark-Guided Deformable Image Registration for Supervised Autonomous Robotic Tumor Resection. 320-328 - Tingting Chen, Xinjun Ma, Xuechen Liu, Wenzhe Wang
Multi-view Learning with Feature Level Fusion for Cervical Dysplasia Diagnosis. 329-338 - Haoyin Zhou, Jayender Jagadeesan:
Real-Time Surface Deformation Recovery from Stereo Videos. 339-347
Microscopy
- Hanbo Chen, Xiao Han
Rectified Cross-Entropy and Upper Transition Loss for Weakly Supervised Whole Slide Image Classifier. 351-359 - Yifan Zhang, Hanbo Chen, Ying Wei
From Whole Slide Imaging to Microscopy: Deep Microscopy Adaptation Network for Histopathology Cancer Image Classification. 360-368 - Jingru Yi, Pengxiang Wu, Qiaoying Huang, Hui Qu, Bo Liu, Daniel J. Hoeppner, Dimitris N. Metaxas:
Multi-scale Cell Instance Segmentation with Keypoint Graph Based Bounding Boxes. 369-377 - Hui Qu, Zhennan Yan, Gregory M. Riedlinger, Subhajyoti De, Dimitris N. Metaxas:
Improving Nuclei/Gland Instance Segmentation in Histopathology Images by Full Resolution Neural Network and Spatial Constrained Loss. 378-386 - Yuan Xue
Synthetic Augmentation and Feature-Based Filtering for Improved Cervical Histopathology Image Classification. 387-396 - Junya Hayashida, Ryoma Bise:
Cell Tracking with Deep Learning for Cell Detection and Motion Estimation in Low-Frame-Rate. 397-405 - Nikolas Ioannou, Milos Stanisavljevic, Andreea Anghel, Nikolaos Papandreou, Sonali Andani, Jan Hendrik Rüschoff, Peter Wild, Maria Gabrani, Haralampos Pozidis:
Accelerated ML-Assisted Tumor Detection in High-Resolution Histopathology Images. 406-414 - Zhenyu Tang, Yuyun Xu, Zhicheng Jiao
Pre-operative Overall Survival Time Prediction for Glioblastoma Patients Using Deep Learning on Both Imaging Phenotype and Genotype. 415-422 - Xiaofei Wang
Pathology-Aware Deep Network Visualization and Its Application in Glaucoma Image Synthesis. 423-431 - Sam Maksoud
CORAL8: Concurrent Object Regression for Area Localization in Medical Image Panels. 432-441 - Zhijie Zhang, Huazhu Fu
ET-Net: A Generic Edge-aTtention Guidance Network for Medical Image Segmentation. 442-450 - Long Chen
Instance Segmentation of Biomedical Images with an Object-Aware Embedding Learned with Local Constraints. 451-459 - Ze Ye, Cong Chen, Changhe Yuan, Chao Chen:
Diverse Multiple Prediction on Neuron Image Reconstruction. 460-468 - Yutong Xie
Deep Segmentation-Emendation Model for Gland Instance Segmentation. 469-477 - Shenglong Zhou, Zhiwei Xiong, Chang Chen, Xuejin Chen, Dong Liu, Yueyi Zhang, Zheng-Jun Zha
Fast and Accurate Electron Microscopy Image Registration with 3D Convolution. 478-486 - Yukun Chen, Chenyan Wu, Zhuomin Zhang, Jeffery A. Goldstein
PlacentaNet: Automatic Morphological Characterization of Placenta Photos with Deep Learning. 487-495 - Jiawen Yao
Deep Multi-instance Learning for Survival Prediction from Whole Slide Images. 496-504 - Yi Zhou, Xiaodong He
High-Resolution Diabetic Retinopathy Image Synthesis Manipulated by Grading and Lesions. 505-513 - Meng Li
Deep Instance-Level Hard Negative Mining Model for Histopathology Images. 514-522 - Artem Lukoyanov, Isabella Haberbosch, Constantin Pape, Alwin Krämer, Yannick Schwab, Anna Kreshuk:
Synthetic Patches, Real Images: Screening for Centrosome Aberrations in EM Images of Human Cancer Cells. 523-531 - Weijian Li, Viet-Duy Nguyen, Haofu Liao, Matt Wilder, Ke Cheng, Jiebo Luo
Patch Transformer for Multi-tagging Whole Slide Histopathology Images. 532-540 - Han Le, Dimitris Samaras, Tahsin M. Kurç, Rajarsi Gupta, Kenneth Shroyer, Joel H. Saltz:
Pancreatic Cancer Detection in Whole Slide Images Using Noisy Label Annotations. 541-549 - Yushan Zheng
Encoding Histopathological WSIs Using GNN for Scalable Diagnostically Relevant Regions Retrieval. 550-558 - Hai Su, Xiaoshuang Shi, Jinzheng Cai, Lin Yang:
Local and Global Consistency Regularized Mean Teacher for Semi-supervised Nuclei Classification. 559-567 - Amal Lahiani, Nassir Navab, Shadi Albarqouni
Perceptual Embedding Consistency for Seamless Reconstruction of Tilewise Style Transfer. 568-576 - Miguel Luna, Mungi Kwon, Sang Hyun Park:
Precise Separation of Adjacent Nuclei Using a Siamese Neural Network. 577-585 - Zixu Zhao, Huangjing Lin
PFA-ScanNet: Pyramidal Feature Aggregation with Synergistic Learning for Breast Cancer Metastasis Analysis. 586-594 - Li Xiao, Chunlong Luo, Yufan Luo, Tianqi Yu, Chan Tian, Jie Qiao, Yi Zhao
DeepACE: Automated Chromosome Enumeration in Metaphase Cell Images Using Deep Convolutional Neural Networks. 595-603 - Hassan Muhammad, Carlie S. Sigel, Gabriele Campanella
Unsupervised Subtyping of Cholangiocarcinoma Using a Deep Clustering Convolutional Autoencoder. 604-612 - Yongxiang Huang, Albert C. S. Chung:
Evidence Localization for Pathology Images Using Weakly Supervised Learning. 613-621 - Navid Alemi Koohbanani, Mostafa Jahanifar, Ali Gooya
Nuclear Instance Segmentation Using a Proposal-Free Spatially Aware Deep Learning Framework. 622-630 - Laxmi Gupta, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof, Michael Gadermayr
GAN-Based Image Enrichment in Digital Pathology Boosts Segmentation Accuracy. 631-639 - Yanning Zhou, Hao Chen
IRNet: Instance Relation Network for Overlapping Cervical Cell Segmentation. 640-648 - Kazuya Nishimura, Dai Fei Elmer Ker, Ryoma Bise:
Weakly Supervised Cell Instance Segmentation by Propagating from Detection Response. 649-657 - Neel Dey
Robust Non-negative Tensor Factorization, Diffeomorphic Motion Correction, and Functional Statistics to Understand Fixation in Fluorescence Microscopy. 658-666 - Yeman Brhane Hagos, Priya Lakshmi Narayanan, Ayse U. Akarca, Teresa Marafioti, Yinyin Yuan:
ConCORDe-Net: Cell Count Regularized Convolutional Neural Network for Cell Detection in Multiplex Immunohistochemistry Images. 667-675 - Tingying Peng, Melanie Boxberg, Wilko Weichert, Nassir Navab, Carsten Marr:
Multi-task Learning of a Deep K-Nearest Neighbour Network for Histopathological Image Classification and Retrieval. 676-684 - Ario Sadafi, Niklas Koehler, Asya Makhro
Multiclass Deep Active Learning for Detecting Red Blood Cell Subtypes in Brightfield Microscopy. 685-693 - Niyun Zhou, De Cai, Xiao Han
Enhanced Cycle-Consistent Generative Adversarial Network for Color Normalization of H&E Stained Images. 694-702 - Qingbo Kang, Qicheng Lao
Nuclei Segmentation in Histopathological Images Using Two-Stage Learning. 703-711 - Yanhao Zhu, Zhineng Chen, Shuai Zhao, Hongtao Xie, Wenming Guo, Yongdong Zhang:
ACE-Net: Biomedical Image Segmentation with Augmented Contracting and Expansive Paths. 712-720 - Lei Mou, Yitian Zhao, Li Chen, Jun Cheng, Zaiwang Gu, Huaying Hao, Hong Qi, Yalin Zheng, Alejandro F. Frangi
CS-Net: Channel and Spatial Attention Network for Curvilinear Structure Segmentation. 721-730 - Inwan Yoo, Donggeun Yoo, Kyunghyun Paeng:
PseudoEdgeNet: Nuclei Segmentation only with Point Annotations. 731-739 - Fuyong Xing
Adversarial Domain Adaptation and Pseudo-Labeling for Cross-Modality Microscopy Image Quantification. 740-749 - Jie Zhao, Xuejin Chen, Zhiwei Xiong, Dong Liu, Junjie Zeng, Yueyi Zhang, Zheng-Jun Zha
Progressive Learning for Neuronal Population Reconstruction from Optical Microscopy Images. 750-759 - Lydia Neary-Zajiczek
Whole-Sample Mapping of Cancerous and Benign Tissue Properties. 760-768 - Wenao Ma, Shuang Yu, Kai Ma, Jiexiang Wang, Xinghao Ding, Yefeng Zheng
Multi-task Neural Networks with Spatial Activation for Retinal Vessel Segmentation and Artery/Vein Classification. 769-778 - Kyoung Jin Noh, Sang Jun Park, Soochahn Lee:
Fine-Scale Vessel Extraction in Fundus Images by Registration with Fluorescein Angiography. 779-787 - Xiaodong He
DME-Net: Diabetic Macular Edema Grading by Auxiliary Task Learning. 788-796 - Shihao Zhang, Huazhu Fu
Attention Guided Network for Retinal Image Segmentation. 797-805 - Carolina Pacheco, René Vidal:
An Unsupervised Domain Adaptation Approach to Classification of Stem Cell-Derived Cardiomyocytes. 806-814
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