3d brain and heart volume generative models: A survey

Y Liu, G Dwivedi, F Boussaid, M Bennamoun - ACM Computing Surveys, 2024 - dl.acm.org
Generative models such as generative adversarial networks and autoencoders have gained
a great deal of attention in the medical field due to their excellent data generation capability …

Interpretability benchmark for evaluating spatial misalignment of prototypical parts explanations

M Sacha, B Jura, D Rymarczyk, Ł Struski… - Proceedings of the …, 2024 - ojs.aaai.org
Prototypical parts-based networks are becoming increasingly popular due to their faithful
self-explanations. However, their similarity maps are calculated in the penultimate network …

Interpretable Multimodal Learning for Cardiovascular Hemodynamics Assessment

PC Tripathi, S Tabakhi, MNI Suvon, L Schöb… - arXiv preprint arXiv …, 2024 - arxiv.org
Pulmonary Arterial Wedge Pressure (PAWP) is an essential cardiovascular hemodynamics
marker to detect heart failure. In clinical practice, Right Heart Catheterization is considered a …

A Multilabel Dermatologic Classification and Interpretability Study for Small Samples and Extremely Unbalanced Classes

J Tang, L Jiang, F Zheng, X Zhang… - 2024 International …, 2024 - ieeexplore.ieee.org
Early diagnosis of melanoma is important for patient care, but dermatologists are struggling
to keep up with the increasing demand for skin disease care. Computer-aided diagnostic …

[PDF][PDF] APPRENTISSAGE PROFOND DE VARIÉTÉS POUR UNE MEILLEURE CARACTÉRISATION DE L'HYPERTENSION ARTÉRIELLE EN IMAGERIE …

N Painchaud - savoirs.usherbrooke.ca
L'hypertension artérielle (HT) est la maladie cardiovasculaire la plus répandue dans le
monde, affectant plus de 30% des adultes dans le monde en 2019, soit 1, 28 milliard de …