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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

  • Conference proceedings
  • © 2022

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Editors:
  1. Luigi Manfredi

    1. University of Dundee, Dundee, UK

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  2. Seyed-Ahmad Ahmadi

    1. Nvidia, Munich, Germany

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  3. Michael Bronstein

    1. University of Oxford, Oxford, UK

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  4. Anees Kazi

    1. Harvard University, Boston, USA

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  5. Davide Lomanto

    1. National University of Singapore, Singapore, Singapore

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  6. Alwyn Mathew

    1. University of Dundee, Dundee, UK

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  7. Ludovic Magerand

    1. University of Dundee, Dundee, UK

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  8. Kamilia Mullakaeva

    1. Technical University of Munich, Munich, Germany

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  9. Bartlomiej Papiez

    1. University of Oxford, Oxford, UK

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  10. Russell H. Taylor

    1. Johns Hopkins University, Baltimore, USA

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  11. Emanuele Trucco

    1. University of Dundee, Dundee, UK

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13754)

Included in the following conference series:

Conference proceedings info: GRAIL 2022, ISGIE 2022.

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About this book

This book constitutes the refereed proceedings of the first MICCAI Workshop, ISGIE 2022, Imaging Systems for GI Endoscopy, and the Fourth MICCAI Workshop, GRAIL 2022, GRaphs in biomedicAL Image and analysis, held in conjunction with MICCAI 2022, Singapore, September 18, 2022.

ISGIE 2022 accepted 6 papers from the 8 submissions received.This workshop focuses on novel scientific contributions to vision systems, imaging algorithms as well as the autonomous system for endorobot for GI endoscopy. This includes lesion and lumen detection, as well as 3D reconstruction of the GI tract and hand-eye coordination.


 GRAIL 2022 accepted 6 papers from the 10 submissions received. The workshop aims to bring together scientists that use and develop graph-based models for the analysis of biomedical images and to encourage the exploration of graph-based models for difficult clinical problems within a variety of biomedical imaging contexts.


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Table of contents (12 papers)

  1. Front Matter

    Pages i-xii
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  2. Imaging Systems for GI Endoscopy

    1. Front Matter

      Pages 1-1
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    2. Light Adaptation for Classification of the Upper Gastrointestinal Sites

      • Xiaohan Hao, Xiao Xu, Daimin Jiang, Guoyi Zhou
      Pages 3-12

    3. Criss-Cross Attention Based Multi-level Fusion Network for Gastric Intestinal Metaplasia Segmentation

      • Chu-Min Nien, Er-Hsiang Yang, Wei-Lun Chang, Hsiu-Chi Cheng, Chun-Rong Huang
      Pages 13-23

    4. Colonoscopy Landmark Detection Using Vision Transformers

      • Aniruddha Tamhane, Tse’ela Mida, Erez Posner, Moshe Bouhnik
      Pages 24-34

    5. Real-Time Lumen Detection for Autonomous Colonoscopy

      • Baidaa Al-Bander, Alwyn Mathew, Ludovic Magerand, Emanuele Trucco, Luigi Manfredi
      Pages 35-44

    6. SuperPoint Features in Endoscopy

      • O. León Barbed, François Chadebecq, Javier Morlana, José M. M. Montiel, Ana C. Murillo
      Pages 45-55

    7. Estimating the Coverage in 3D Reconstructions of the Colon from Colonoscopy Videos

      • Emmanuelle Muhlethaler, Erez Posner, Moshe Bouhnik
      Pages 56-65

  3. Graphs in Biomedical Image Analysis

    1. Front Matter

      Pages 67-67
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    2. Modular Graph Encoding and Hierarchical Readout for Functional Brain Network Based eMCI Diagnosis

      • Lang Mei, Mianxin Liu, Lingbin Bian, Yuyao Zhang, Feng Shi, Han Zhang et al.
      Pages 69-78

    3. Bayesian Filtered Generation of Post-surgical Brain Connectomes on Tumor Patients

      • Joan Falcó-Roget, Alessandro Crimi
      Pages 79-88

    4. Deep Cross-Modality and Resolution Graph Integration for Universal Brain Connectivity Mapping and Augmentation

      • Ece Cinar, Sinem Elif Haseki, Alaa Bessadok, Islem Rekik
      Pages 89-98

    5. Using Hierarchically Connected Nodes and Multiple GNN Message Passing Steps to Increase the Contextual Information in Cell-Graph Classification

      • Joe Sims, Heike I. Grabsch, Derek Magee
      Pages 99-107

    6. TaG-Net: Topology-Aware Graph Network for Vessel Labeling

      • Linlin Yao, Zhong Xue, Yiqiang Zhan, Lizhou Chen, Yuntian Chen, Bin Song et al.
      Pages 108-117

    7. Transforming Connectomes to “Any” Parcellation via Graph Matching

      • Qinghao Liang, Javid Dadashkarimi, Wei Dai, Amin Karbasi, Joseph Chang, Harrison H. Zhou et al.
      Pages 118-127

  4. Back Matter

    Pages 129-129
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Other volumes

  1. Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis

Editors and Affiliations

  • University of Dundee, Dundee, UK

    Luigi Manfredi, Alwyn Mathew, Ludovic Magerand, Emanuele Trucco

  • Nvidia, Munich, Germany

    Seyed-Ahmad Ahmadi

  • University of Oxford, Oxford, UK

    Michael Bronstein, Bartlomiej Papiez

  • Harvard University, Boston, USA

    Anees Kazi

  • National University of Singapore, Singapore, Singapore

    Davide Lomanto

  • Technical University of Munich, Munich, Germany

    Kamilia Mullakaeva

  • Johns Hopkins University, Baltimore, USA

    Russell H. Taylor

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