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ORCID25th MICCAI 2022: Singapore - Part II
- Linwei Wang, Qi Dou
, P. Thomas Fletcher, Stefanie Speidel, Shuo Li:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13432, Springer 2022, ISBN 978-3-031-16433-0
Computational (Integrative) Pathology
- Qiangguo Jin, Hui Cui, Changming Sun, Jiangbin Zheng, Leyi Wei, Zhenyu Fang, Zhaopeng Meng, Ran Su:
Semi-supervised Histological Image Segmentation via Hierarchical Consistency Enforcement. 3-13 - Nicolas Wagner, Moritz Fuchs, Yuri Tolkach, Anirban Mukhopadhyay:
Federated Stain Normalization for Computational Pathology. 14-23 - Linhao Qu, Xiaoyuan Luo, Shaolei Liu, Manning Wang, Zhijian Song:
DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image Classification. 24-34 - Jiawei Yang, Hanbo Chen, Yu Zhao, Fan Yang, Yao Zhang, Lei He, Jianhua Yao:
ReMix: A General and Efficient Framework for Multiple Instance Learning Based Whole Slide Image Classification. 35-45 - Xingran Xie, Yan Wang, Qingli Li:
S3R: Self-supervised Spectral Regression for Hyperspectral Histopathology Image Classification. 46-55 - Shiyi Du, Qicheng Lao, Qingbo Kang, Yiyue Li, Zekun Jiang, Yanfeng Zhao, Kang Li:
Distilling Knowledge from Topological Representations for Pathological Complete Response Prediction. 56-65 - Yu Zhao, Zhenyu Lin, Kai Sun, Yidan Zhang, Junzhou Huang, Liansheng Wang, Jianhua Yao:
SETMIL: Spatial Encoding Transformer-Based Multiple Instance Learning for Pathological Image Analysis. 66-76 - Ziyue Xu, Andriy Myronenko, Dong Yang, Holger R. Roth, Can Zhao, Xiaosong Wang, Daguang Xu:
Clinical-Realistic Annotation for Histopathology Images with Probabilistic Semi-supervision: A Worst-Case Study. 77-87 - Marvin Teichmann, André Aichert, Hanibal Bohnenberger, Philipp Ströbel, Tobias Heimann:
End-to-End Learning for Image-Based Detection of Molecular Alterations in Digital Pathology. 88-98 - Manuel Tran, Sophia J. Wagner, Melanie Boxberg, Tingying Peng:
S5CL: Unifying Fully-Supervised, Self-supervised, and Semi-supervised Learning Through Hierarchical Contrastive Learning. 99-108 - Minmin Liu, Xuechen Li, Xiangbo Gao, Junliang Chen, Linlin Shen, Huisi Wu:
Sample Hardness Based Gradient Loss for Long-Tailed Cervical Cell Detection. 109-119 - Marin Scalbert, Maria Vakalopoulou, Florent Couzinié-Devy:
Test-Time Image-to-Image Translation Ensembling Improves Out-of-Distribution Generalization in Histopathology. 120-129 - Yang Hu, Korsuk Sirinukunwattana, Kezia Gaitskell, Ruby Wood, Clare Verrill, Jens Rittscher:
Predicting Molecular Traits from Tissue Morphology Through Self-interactive Multi-instance Learning. 130-139 - Yi Lin, Zeyu Wang, Kwang-Ting Cheng, Hao Chen:
InsMix: Towards Realistic Generative Data Augmentation for Nuclei Instance Segmentation. 140-149 - Chundan Xu, Ziqi Wen, Zhiwen Liu, Chuyang Ye:
Improved Domain Generalization for Cell Detection in Histopathology Images via Test-Time Stain Augmentation. 150-159 - Ziniu Qian, Kailu Li, Maode Lai, Eric I-Chao Chang, Bingzheng Wei, Yubo Fan, Yan Xu:
Transformer Based Multiple Instance Learning for Weakly Supervised Histopathology Image Segmentation. 160-170 - Tan N. N. Doan, Kyungeun Kim, Boram Song, Jin Tae Kwak:
GradMix for Nuclei Segmentation and Classification in Imbalanced Pathology Image Datasets. 171-180 - Wentai Hou, Helong Huang, Qiong Peng, Rongshan Yu, Lequan Yu, Liansheng Wang:
Spatial-Hierarchical Graph Neural Network with Dynamic Structure Learning for Histological Image Classification. 181-191 - Jingwei Zhang, Xin Zhang, Ke Ma, Rajarsi Gupta, Joel H. Saltz, Maria Vakalopoulou, Dimitris Samaras:
Gigapixel Whole-Slide Images Classification Using Locally Supervised Learning. 192-201 - Xin Zhang, Maosong Cao, Sheng Wang, Jiayin Sun, Xiangshan Fan, Qian Wang, Lichi Zhang:
Whole Slide Cervical Cancer Screening Using Graph Attention Network and Supervised Contrastive Learning. 202-211 - Yiqing Shen, Yulin Luo, Dinggang Shen, Jing Ke:
RandStainNA: Learning Stain-Agnostic Features from Histology Slides by Bridging Stain Augmentation and Normalization. 212-221 - Yingli Zuo, Yawen Wu, Zixiao Lu, Qi Zhu, Kun Huang, Daoqiang Zhang, Wei Shao:
Identify Consistent Imaging Genomic Biomarkers for Characterizing the Survival-Associated Interactions Between Tumor-Infiltrating Lymphocytes and Tumors. 222-231 - Bowei Zeng, Yiyang Lin, Yifeng Wang, Yang Chen, Jiuyang Dong, Xi Li, Yongbing Zhang:
Semi-supervised PR Virtual Staining for Breast Histopathological Images. 232-241 - Yunlong Zhang, Yuxuan Sun, Honglin Li, Sunyi Zheng, Chenglu Zhu, Lin Yang:
Benchmarking the Robustness of Deep Neural Networks to Common Corruptions in Digital Pathology. 242-252 - Qinghua Zhang, Zhao Chen:
Weakly Supervised Segmentation by Tensor Graph Learning for Whole Slide Images. 253-262 - Adrian Galdran, Katherine Jane Hewitt, Narmin Ghaffari Laleh, Jakob Nikolas Kather, Gustavo Carneiro, Miguel Ángel González Ballester:
Test Time Transform Prediction for Open Set Histopathological Image Recognition. 263-272 - Jun Li, Yushan Zheng, Kun Wu, Jun Shi, Fengying Xie, Zhiguo Jiang:
Lesion-Aware Contrastive Representation Learning for Histopathology Whole Slide Images Analysis. 273-282 - Yushan Zheng, Jun Li, Jun Shi, Fengying Xie, Zhiguo Jiang:
Kernel Attention Transformer (KAT) for Histopathology Whole Slide Image Classification. 283-292 - Zhilong Lv, Rui Yan, Yuexiao Lin, Ying Wang, Fa Zhang:
Joint Region-Attention and Multi-scale Transformer for Microsatellite Instability Detection from Whole Slide Images in Gastrointestinal Cancer. 293-302 - Mohammad MinHazul Haq, Junzhou Huang:
Self-supervised Pre-training for Nuclei Segmentation. 303-313 - Mohammad Mahdi Derakhshani, Ivona Najdenkoska, Tom van Sonsbeek, Xiantong Zhen, Dwarikanath Mahapatra, Marcel Worring, Cees G. M. Snoek:
LifeLonger: A Benchmark for Continual Disease Classification. 314-324 - Loïc Le Bescond, Marvin Lerousseau, Ingrid Garberis, Fabrice André, Stergios Christodoulidis, Maria Vakalopoulou, Hugues Talbot:
Unsupervised Nuclei Segmentation Using Spatial Organization Priors. 325-335 - Gabriel Jimenez, Anuradha Kar, Mehdi Ounissi, Léa Ingrassia, Susana Boluda, Benoît Delatour, Lev Stimmer, Daniel Racoceanu:
Visual Deep Learning-Based Explanation for Neuritic Plaques Segmentation in Alzheimer's Disease Using Weakly Annotated Whole Slide Histopathological Images. 336-344 - Yash Sharma, Sana Syed, Donald E. Brown:
MaNi: Maximizing Mutual Information for Nuclei Cross-Domain Unsupervised Segmentation. 345-355 - Joseph Boyd, Irène Villa, Marie-Christine Mathieu, Eric Deutsch, Nikos Paragios, Maria Vakalopoulou, Stergios Christodoulidis:
Region-Guided CycleGANs for Stain Transfer in Whole Slide Images. 356-365 - Asmaa Aljuhani, Ishya Casukhela, Jany Chan, David Liebner, Raghu Machiraju:
Uncertainty Aware Sampling Framework of Weak-Label Learning for Histology Image Classification. 366-376 - Daniel Reisenbüchler, Sophia J. Wagner, Melanie Boxberg, Tingying Peng:
Local Attention Graph-Based Transformer for Multi-target Genetic Alteration Prediction. 377-386 - Iain Carmichael, Andrew H. Song, Richard J. Chen, Drew F. K. Williamson, Tiffany Y. Chen, Faisal Mahmood:
Incorporating Intratumoral Heterogeneity into Weakly-Supervised Deep Learning Models via Variance Pooling. 387-397 - Gagandeep B. Daroach, Savannah R. Duenweg, Michael Brehler, Allison K. Lowman, Kenneth A. Iczkowski, Kenneth M. Jacobsohn, Josiah A. Yoder, Peter S. LaViolette:
Prostate Cancer Histology Synthesis Using StyleGAN Latent Space Annotation. 398-408 - Lei Fan, Arcot Sowmya, Erik Meijering, Yang Song:
Fast FF-to-FFPE Whole Slide Image Translation via Laplacian Pyramid and Contrastive Learning. 409-419 - Philip Chikontwe, Soo Jeong Nam, Heounjeong Go, Meejeong Kim, Hyun Jung Sung, Sanghyun Park:
Feature Re-calibration Based Multiple Instance Learning for Whole Slide Image Classification. 420-430
Computational Anatomy and Physiology
- Xufeng Huang, Chengjin Yu, Huafeng Liu:
Physiological Model Based Deep Learning Framework for Cardiac TMP Recovery. 433-443 - Yankun Lang, Xiaoyang Chen, Hannah H. Deng, Tianshu Kuang, Joshua C. Barber, Jaime Gateno, Pew-Thian Yap, James J. Xia:
DentalPointNet: Landmark Localization on High-Resolution 3D Digital Dental Models. 444-452 - David Lüdke, Tamaz Amiranashvili, Felix Ambellan, Ivan Ezhov, Bjoern H. Menze, Stefan Zachow:
Landmark-Free Statistical Shape Modeling Via Neural Flow Deformations. 453-463 - Rebeca Vétil, Clément Abi Nader, Alexandre Bône, Marie-Pierre Vullierme, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch:
Learning Shape Distributions from Large Databases of Healthy Organs: Applications to Zero-Shot and Few-Shot Abnormal Pancreas Detection. 464-473 - Jadie Adams, Shireen Y. Elhabian:
From Images to Probabilistic Anatomical Shapes: A Deep Variational Bottleneck Approach. 474-484
Opthalmology
- Heng Li, Haofeng Liu, Huazhu Fu, Hai Shu, Yitian Zhao, Xiaoling Luo, Yan Hu, Jiang Liu:
Structure-Consistent Restoration Network for Cataract Fundus Image Enhancement. 487-496 - Wei Feng, Lin Wang, Lie Ju, Xin Zhao, Xin Wang, Xiaoyu Shi, Zongyuan Ge:
Unsupervised Domain Adaptive Fundus Image Segmentation with Category-Level Regularization. 497-506 - Haofeng Liu, Heng Li, Huazhu Fu, Ruoxiu Xiao, Yunshu Gao, Yan Hu, Jiang Liu:
Degradation-Invariant Enhancement of Fundus Images via Pyramid Constraint Network. 507-516 - Stefan B. Ploner, Siyu Chen, Jungeun Won, Lennart Husvogt, Katharina Breininger, Julia Schottenhamml, James G. Fujimoto, Andreas Maier:
A Spatiotemporal Model for Precise and Efficient Fully-Automatic 3D Motion Correction in OCT. 517-527 - Changwei Wang, Rongtao Xu, Shibiao Xu, Weiliang Meng, Xiaopeng Zhang:
DA-Net: Dual Branch Transformer and Adaptive Strip Upsampling for Retinal Vessels Segmentation. 528-538 - Valentyn Boreiko, Indu Ilanchezian, Murat Seçkin Ayhan, Sarah Müller, Lisa M. Koch, Hanna Faber, Philipp Berens, Matthias Hein:
Visual Explanations for the Detection of Diabetic Retinopathy from Retinal Fundus Images. 539-549 - Bilha Githinji, Lei Shao, Lin An, Hao Zhang, Fang Li, Li Dong, Lan Ma, Yuhan Dong, Yongbing Zhang, Wen B. Wei, Peiwu Qin:
Multidimensional Hypergraph on Delineated Retinal Features for Pathological Myopia Task. 550-559 - Yanmiao Bai, Jinkui Hao, Huazhu Fu, Yan Hu, Xinting Ge, Jiang Liu, Yitian Zhao, Jiong Zhang:
Unsupervised Lesion-Aware Transfer Learning for Diabetic Retinopathy Grading in Ultra-Wide-Field Fundus Photography. 560-570 - Rui Xu, Jiaxin Zhao, Xinchen Ye, Pengcheng Wu, Zhihui Wang, Haojie Li, Yen-Wei Chen:
Local-Region and Cross-Dataset Contrastive Learning for Retinal Vessel Segmentation. 571-581 - Azade Farshad, Yousef Yeganeh, Peter Gehlbach, Nassir Navab:
Y-Net: A Spatiospectral Dual-Encoder Network for Medical Image Segmentation. 582-592 - Zhihong Lin, Danli Shi, Donghao Zhang, Xianwen Shang, Mingguang He, Zongyuan Ge:
Camera Adaptation for Fundus-Image-Based CVD Risk Estimation. 593-603 - Junde Wu, Huihui Fang, Dalu Yang, Zhaowei Wang, Wenshuo Zhou, Fangxin Shang, Yehui Yang, Yanwu Xu:
Opinions Vary? Diagnosis First! 604-613 - Junde Wu, Huihui Fang, Zhaowei Wang, Dalu Yang, Yehui Yang, Fangxin Shang, Wenshuo Zhou, Yanwu Xu:
Learning Self-calibrated Optic Disc and Cup Segmentation from Multi-rater Annotations. 614-624 - Taha Emre, Arunava Chakravarty, Antoine Rivail, Sophie Riedl, Ursula Schmidt-Erfurth, Hrvoje Bogunovic:
TINC: Temporally Informed Non-contrastive Learning for Disease Progression Modeling in Retinal OCT Volumes. 625-634 - Mohammad Z. Atwany, Mohammad Yaqub:
DRGen: Domain Generalization in Diabetic Retinopathy Classification. 635-644 - Weiwen Zhang, Dawei Yang, Carol Y. Cheung, Hao Chen:
Frequency-Aware Inverse-Consistent Deep Learning for OCT-Angiogram Super-Resolution. 645-655 - Wentian Zhang, Xu Sun, Yuexiang Li, Haozhe Liu, Nanjun He, Feng Liu, Yefeng Zheng:
A Multi-task Network with Weight Decay Skip Connection Training for Anomaly Detection in Retinal Fundus Images. 656-666 - Wenguang Yuan, Donghuan Lu, Dong Wei, Munan Ning, Yefeng Zheng:
Multiscale Unsupervised Retinal Edema Area Segmentation in OCT Images. 667-676 - Junde Wu, Huihui Fang, Fangxin Shang, Dalu Yang, Zhaowei Wang, Jing Gao, Yehui Yang, Yanwu Xu:
SeATrans: Learning Segmentation-Assisted Diagnosis Model via Transformer. 677-687 - Xingyue Wang, Heng Li, Zunjie Xiao, Huazhu Fu, Yitian Zhao, Richu Jin, Shuting Zhang, William Robert Kwapong, Ziyi Zhang, Hanpei Miao, Jiang Liu:
Screening of Dementia on OCTA Images via Multi-projection Consistency and Complementarity. 688-698 - Valentin Koch, Olle G. Holmberg, Hannah Spitzer, Johannes Schiefelbein, Ben Asani, Michael Hafner, Fabian J. Theis:
Noise Transfer for Unsupervised Domain Adaptation of Retinal OCT Images. 699-708 - Qian Zhou, Hua Zou, Zhongyuan Wang:
Long-Tailed Multi-label Retinal Diseases Recognition via Relational Learning and Knowledge Distillation. 709-718
Fetal Imaging
- Tongyi Luo, Jia Xiao, Chuncao Zhang, Siheng Chen, Yuan Tian, Guangjun Yu, Kang Dang, Xiaowei Ding:
Weakly Supervised Online Action Detection for Infant General Movements. 721-731 - Chloe He, Céline Jacques, Jérôme Chambost, Jonas Malmsten, Koen Wouters, Thomas Fréour, Nikica Zaninovic, Cristina Hickman, Francisco Vasconcelos:
Super-Focus: Domain Adaptation for Embryo Imaging via Self-supervised Focal Plane Regression. 732-742 - Noam Korngut, Elad Rotman, Onur Afacan, Sila Kurugol, Yael Zaffrani-Reznikov, Shira Nemirovsky-Rotman, Simon K. Warfield, Moti Freiman:
SUPER-IVIM-DC: Intra-voxel Incoherent Motion Based Fetal Lung Maturity Assessment from Limited DWI Data Using Supervised Learning Coupled with Data-Consistency. 743-752 - Yuki Hashimoto, Akira Furui, Koji Shimatani, Maura Casadio, Paolo Moretti, Pietro Morasso, Toshio Tsuji:
Automated Classification of General Movements in Infants Using Two-Stream Spatiotemporal Fusion Network. 753-762
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