Post-DAE: Anatomically Plausible Segmentation via Post-Processing with
Denoising Autoencoders

Post-DAE: Anatomically Plausible Segmentation via Post-Processing with Denoising Autoencoders

24 June 2020

Agostina J. Larrazabal

Cesar E. Martínez

Papers citing "Post-DAE: Anatomically Plausible Segmentation via Post-Processing with Denoising Autoencoders"

13 / 13 papers shown

Title
Multi-view Hybrid Graph Convolutional Network for Volume-to-mesh Reconstruction in Cardiovascular MRI Nicolás Gaggion Benjamin A. Matheson Yan Xia Rodrigo Bonazzola Nishant Ravikumar Zeike A. Taylor Diego H. Milone Alejandro F. Frangi Enzo Ferrante 27 3 0 22 Nov 2023
CheXmask: a large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images Nicolás Gaggion Candelaria Mosquera Lucas Mansilla Julia Mariel Saidman M. Aineseder Diego H. Milone Enzo Ferrante 18 19 0 06 Jul 2023
Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain MRI datasets Benjamin Billot C. Magdamo You Cheng S. Arnold Sudeshna Das Juan Eugenio Iglesias 11 97 0 05 Sep 2022
Improved post-hoc probability calibration for out-of-domain MRI segmentation C. Ouyang Shuo Wang C. L. P. Chen Zeju Li Wenjia Bai Bernhard Kainz Daniel Rueckert UQCV MedIm 21 4 0 04 Aug 2022
Automatic Quantification of Volumes and Biventricular Function in Cardiac Resonance. Validation of a New Artificial Intelligence Approach A. Curiale Matías Calandrelli Lucca Dellazoppa Mariano Trevisan Jorge Luis BociÁn Juan Pablo Bonifacio G. Mato 20 0 0 03 Jun 2022
Robust Segmentation of Brain MRI in the Wild with Hierarchical CNNs and no Retraining Benjamin Billot Magdamo Colin S. Arnold Sudeshna Das Juan Eugenio Iglesias OOD 23 11 0 03 Mar 2022
CycleMix: A Holistic Strategy for Medical Image Segmentation from Scribble Supervision Kecheng Zhang Xiahai Zhuang 13 68 0 03 Mar 2022
Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training Gabriele Valvano Andrea Leo Sotirios A. Tsaftaris TTA 28 8 0 26 Aug 2021
Deep Learning for Chest X-ray Analysis: A Survey Ecem Sogancioglu E. Çallı Bram van Ginneken K. G. V. Leeuwen K. Murphy LM&MA 24 315 0 15 Mar 2021
A survey on shape-constraint deep learning for medical image segmentation Simon Bohlender Ilkay Oksuz Anirban Mukhopadhyay 3DV 16 34 0 19 Jan 2021
Atlas-ISTN: Joint Segmentation, Registration and Atlas Construction with Image-and-Spatial Transformer Networks Matthew Sinclair A. Schuh K. Hahn K. Petersen Ying Bai James Batten M. Schaap Ben Glocker 17 29 0 18 Dec 2020
Anatomically-Informed Deep Learning on Contrast-Enhanced Cardiac MRI for Scar Segmentation and Clinical Feature Extraction Haley G. Abramson D. Popescu R. Yu Changxin Lai J. Shade Katherine C. Wu Mauro Maggioni Natalia A. Trayanova 17 3 0 21 Oct 2020
DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy Christian Wachinger M. Reuter T. Klein 3DV 31 330 0 27 Feb 2017