Interpretability of machine intelligence in medical image computing, and topological data analysis and its applications for medical data : 4th international workshop, and 1st international workshop, TDA4MedicalData 2021 : held in conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021 : proceedings / Mauricio Reyes, Pedro Henriques Abreu, Jaime Cardoso, Mustafa Hajij, Ghada Zamzmi, Paul Rahul, Lokendra Thakur (eds.).

This book constitutes the refereed joint proceedings of the 4th International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2020, and the First International Workshop on Topological Data Analysis and Its Applications for Medical Data, TDA4MedicalData 2021, h...

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Bibliographic Details
Corporate Authors:	iMIMIC (Workshop), TDA4MedicalData (Workshop), International Conference on Medical Image Computing and Computer-Assisted Intervention
Other Authors:	Reyes, Mauricio (Editor), Abreu, Pedro Henriques (Editor), Cardoso, Jaime S. (Jaime dos Santos) (Editor), Hajij, Mustafa (Editor), Zamzmi, Ghada (Editor), Rahul, Paul (Editor), Thakur, Lokendra (Editor)
Format:	eBook
Language:	English
Published:	Cham : Springer, [2021]
Series:	Lecture notes in computer science ; 12929. LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics.
Subjects:	Diagnostic imaging > Data processing > Congresses. Computer-assisted surgery > Congresses. Computer-assisted surgery Diagnostic imaging > Data processing proceedings (reports) Conference papers and proceedings Conference papers and proceedings. Actes de congrès.
Online Access:	Click for online access

Table of Contents:

iMIMIC 2021 Workshop
Interpretable Deep Learning for Surgical Tool Management
Soft Attention Improves Skin Cancer Classification Performance
Deep Gradient based on Collective Arti cial Intelligence for AD Diagnosis and Prognosis
This explains That: Congruent Image-Report Generation for Explainable Medical Image Analysis with Cyclic Generative Adversarial Networks
Visual Explanation by Unifying Adversarial Generation and Feature Importance Attributions
The Effect of the Loss on Generalization: Empirical Study on Synthetic Lung Nodule Data
Voxel-level Importance Maps for Interpretable Brain Age Estimation
TDA4MedicalData Workshop
Lattice Paths for Persistent Diagrams
Neighborhood complex based machine learning (NCML) models for drug design
Predictive modelling of highly multiplexed tumour tissue images by graph neural networks
Statistical modeling of pulmonary vasculatures with topological priors in CT volumes
Topological Detection of Alzheimer's Disease using Betti Curves.

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