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ISGIE/GRAIL@MICCAI 2022: Singapore
- Luigi Manfredi, Seyed-Ahmad Ahmadi, Michael M. Bronstein, Anees Kazi, Davide Lomanto, Alwyn Mathew, Ludovic Magerand, Kamilia Mullakaeva, Bartlomiej W. Papiez, Russell H. Taylor, Emanuele Trucco:
Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis - First MICCAI Workshop, ISGIE 2022, and Fourth MICCAI Workshop, GRAIL 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings. Lecture Notes in Computer Science 13754, Springer 2022, ISBN 978-3-031-21082-2
Imaging Systems for GI Endoscopy
- Xiaohan Hao, Xiao Xu, Daimin Jiang, Guoyi Zhou:
Light Adaptation for Classification of the Upper Gastrointestinal Sites. 3-12 - Chu-Min Nien, Er-Hsiang Yang, Wei-Lun Chang, Hsiu-Chi Cheng, Chun-Rong Huang:
Criss-Cross Attention Based Multi-level Fusion Network for Gastric Intestinal Metaplasia Segmentation. 13-23 - Aniruddha Tamhane, Tse'ela Mida, Erez Posner, Moshe Bouhnik:
Colonoscopy Landmark Detection Using Vision Transformers. 24-34 - Baidaa Al-Bander, Alwyn Mathew, Ludovic Magerand, Emanuele Trucco, Luigi Manfredi:
Real-Time Lumen Detection for Autonomous Colonoscopy. 35-44 - Oscar León Barbed, François Chadebecq, Javier Morlana, José María Martínez Montiel, Ana C. Murillo:
SuperPoint Features in Endoscopy. 45-55 - Emmanuelle Muhlethaler, Erez Posner, Moshe Bouhnik:
Estimating the Coverage in 3D Reconstructions of the Colon from Colonoscopy Videos. 56-65
Graphs in Biomedical Image Analysis
- Lang Mei, Mianxin Liu, Lingbin Bian, Yuyao Zhang, Feng Shi, Han Zhang, Dinggang Shen:
Modular Graph Encoding and Hierarchical Readout for Functional Brain Network Based eMCI Diagnosis. 69-78 - Joan Falcó-Roget, Alessandro Crimi:
Bayesian Filtered Generation of Post-surgical Brain Connectomes on Tumor Patients. 79-88 - Ece Cinar, Sinem Elif Haseki, Alaa Bessadok, Islem Rekik:
Deep Cross-Modality and Resolution Graph Integration for Universal Brain Connectivity Mapping and Augmentation. 89-98 - Joe Sims, Heike Irmgard Grabsch, Derek R. Magee:
Using Hierarchically Connected Nodes and Multiple GNN Message Passing Steps to Increase the Contextual Information in Cell-Graph Classification. 99-107 - Linlin Yao, Zhong Xue, Yiqiang Zhan, Lizhou Chen, Yuntian Chen, Bin Song, Qian Wang, Feng Shi, Dinggang Shen:
TaG-Net: Topology-Aware Graph Network for Vessel Labeling. 108-117 - Qinghao Liang, Javid Dadashkarimi, Wei Dai, Amin Karbasi, Joseph Chang, Harrison H. Zhou, Dustin Scheinost:
Transforming Connectomes to "Any" Parcellation via Graph Matching. 118-127
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