Modality-Independent Explainable Detection of Inaccurate Organ Segmentations Using Denoising Autoencoders

16 April 2025

Papers citing "Modality-Independent Explainable Detection of Inaccurate Organ Segmentations Using Denoising Autoencoders"

6 / 6 papers shown

Title
Detecting when pre-trained nnU-Net models fail silently for Covid-19 lung lesion segmentation Camila González Karol Gotkowski A. Bucher Ricarda Fischbach Isabel Kaltenborn Anirban Mukhopadhyay 74 31 0 13 Jul 2021
Re-parameterizing VAEs for stability David Dehaene Rémy Brossard DRL 46 9 0 25 Jun 2021
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images R. Child BDL VLM 186 352 0 20 Nov 2020
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 886 27,427 0 02 Dec 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.9K 77,441 0 18 May 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,364 0 22 Dec 2014