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ORCIDiMIMIC/TDA4MedicalData@MICCAI 2021: Strasbourg, France
- Mauricio Reyes
, Pedro Henriques Abreu, Jaime S. Cardoso, Mustafa Hajij, Ghada Zamzmi, Rahul Paul, Lokendra Thakur:
Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data - 4th International Workshop, iMIMIC 2021, and 1st International Workshop, TDA4MedicalData 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings. Lecture Notes in Computer Science 12929, Springer 2021, ISBN 978-3-030-87443-8
iMIMIC 2021 Workshop
- Mark Rodrigues, Michael Mayo, Panos Patros:
Interpretable Deep Learning for Surgical Tool Management. 3-12 - Soumyya Kanti Datta, Mohammad Abuzar Shaikh, Sargur N. Srihari, Mingchen Gao:
Soft Attention Improves Skin Cancer Classification Performance. 13-23 - Huy-Dung Nguyen, Michaël Clément, Boris Mansencal, Pierrick Coupé:
Deep Grading Based on Collective Artificial Intelligence for AD Diagnosis and Prognosis. 24-33 - Abhineet Pandey, Bhawna Paliwal, Abhinav Dhall, Ramanathan Subramanian, Dwarikanath Mahapatra:
This Explains That: Congruent Image-Report Generation for Explainable Medical Image Analysis with Cyclic Generative Adversarial Networks. 34-43 - Martin Charachon, Paul-Henry Cournède, Céline Hudelot, Roberto Ardon:
Visual Explanation by Unifying Adversarial Generation and Feature Importance Attributions. 44-55 - Vasileios Baltatzis, Loïc Le Folgoc, Sam Ellis, Octavio E. Martinez Manzanera, Kyriaki-Margarita Bintsi, Arjun Nair, Sujal Desai, Ben Glocker, Julia A. Schnabel:
The Effect of the Loss on Generalization: Empirical Study on Synthetic Lung Nodule Data. 56-64 - Kyriaki-Margarita Bintsi, Vasileios Baltatzis, Alexander Hammers, Daniel Rueckert:
Voxel-Level Importance Maps for Interpretable Brain Age Estimation. 65-74
TDA4MedicalData Workshop
- Moo K. Chung, Hernando C. Ombao:
Lattice Paths for Persistent Diagrams. 77-86 - Xiang Liu, Kelin Xia:
Neighborhood Complex Based Machine Learning (NCML) Models for Drug Design. 87-97 - Paula Martin-Gonzalez, Mireia Crispin-Ortuzar, Florian Markowetz:
Predictive Modelling of Highly Multiplexed Tumour Tissue Images by Graph Neural Networks. 98-107 - Yuki Saeki, Atsushi Saito, Jean Cousty, Yukiko Kenmochi, Akinobu Shimizu:
Statistical Modeling of Pulmonary Vasculatures with Topological Priors in CT Volumes. 108-118 - Ameer Saadat-Yazdi, Rayna Andreeva, Rik Sarkar:
Topological Detection of Alzheimer's Disease Using Betti Curves. 119-128
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