Improving Robustness and Reliability in Medical Image Classification with Latent-Guided Diffusion and Nested-Ensembles

24 October 2023

Papers citing "Improving Robustness and Reliability in Medical Image Classification with Latent-Guided Diffusion and Nested-Ensembles"

7 / 7 papers shown

Title
Conditional Diffusion Models are Medical Image Classifiers that Provide Explainability and Uncertainty for Free Gian Mario Favero Parham Saremi Emily Kaczmarek Brennan Nichyporuk Tal Arbel DiffM MedIm 62 0 0 06 Feb 2025
Multiscale Latent Diffusion Model for Enhanced Feature Extraction from Medical Images Rabeya Tus Sadia Jie Zhang Jin Chen MedIm 15 0 0 05 Oct 2024
MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model Junde Wu Rao Fu Huihui Fang Yu Zhang Yehui Yang Haoyi Xiong Huiying Liu Yanwu Xu MedIm VLM DiffM 98 233 0 01 Nov 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 278 10,544 0 19 Feb 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,635 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 229 74,467 0 18 May 2015