GLOWin: A Flow-based Invertible Generative Framework for Learning Disentangled Feature Representations in Medical Images

19 March 2021

Nassir Navab

Papers citing "GLOWin: A Flow-based Invertible Generative Framework for Learning Disentangled Feature Representations in Medical Images"

3 / 3 papers shown

Title
Counterfactual Explanations for Medical Image Classification and Regression using Diffusion Autoencoder Matan Atad D. Schinz Hendrik Moeller Robert Graf Benedikt Wiestler Daniel Rueckert Nassir Navab Jan S. Kirschke Matthias Keicher CML DiffM MedIm 44 3 0 02 Aug 2024
Towards Disentangling Information Paths with Coded ResNeXt Apostolos Avranas Marios Kountouris FAtt 30 1 0 10 Feb 2022
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 340 10,633 0 19 Feb 2017