Improving anatomical plausibility in medical image segmentation via
hybrid graph neural networks: applications to chest x-ray analysis

Improving anatomical plausibility in medical image segmentation via hybrid graph neural networks: applications to chest x-ray analysis

21 March 2022

Nicolás Gaggion

Candelaria Mosquera

Diego H. Milone

Papers citing "Improving anatomical plausibility in medical image segmentation via hybrid graph neural networks: applications to chest x-ray analysis"

17 / 17 papers shown

Title
Divide and Conquer Self-Supervised Learning for High-Content Imaging Lucas Farndale Paul Henderson Edward W Roberts Ke Yuan SSL 63 0 0 10 Mar 2025
Robust Tumor Segmentation with Hyperspectral Imaging and Graph Neural Networks Mayar Lotfy Anna Alperovich Tommaso Giannantonio Bjorn Barz Xiaohan Zhang ... Nassir Navab F. Boehm Carolin Schwamborn Thomas K. Hoffmann PatrickJ. Schuler 102 1 0 21 Feb 2025
Med-PerSAM: One-Shot Visual Prompt Tuning for Personalized Segment Anything Model in Medical Domain Hangyul Yoon Doohyuk Jang JungEun Kim Eunho Yang VLM MedIm 72 1 0 25 Nov 2024
Fitting Skeletal Models via Graph-based Learning Nicolás Gaggion Enzo Ferrante Beatriz Paniagua Jared Vicory 45 0 0 09 Sep 2024
MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine Yunfei Xie Ce Zhou Lang Gao Juncheng Wu Xianhang Li ... Sheng Liu Lei Xing James Zou Cihang Xie Yuyin Zhou LM&MA MedIm 74 25 0 06 Aug 2024
DenseSeg: Joint Learning for Semantic Segmentation and Landmark Detection Using Dense Image-to-Shape Representation Ron Keuth Lasse Hansen Maren Balks Ronja Jäger Anne-Nele Schröder Ludger Tüshaus Mattias P. Heinrich 35 0 0 30 May 2024
Explanations of Classifiers Enhance Medical Image Segmentation via End-to-end Pre-training Jiamin Chen Xuhong Li Yanwu Xu Mengnan Du Haoyi Xiong 28 2 0 16 Jan 2024
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 35 3 0 22 Nov 2023
Towards Robust Cardiac Segmentation using Graph Convolutional Networks G. V. D. Vyver Sarina Thomas Guy Ben-Yosef S. Olaisen H˚avard Dalen L. Løvstakken Erik Smistad 13 2 0 02 Oct 2023
Unsupervised bias discovery in medical image segmentation Nicolás Gaggion Rodrigo Echeveste Lucas Mansilla Diego H. Milone Enzo Ferrante 30 1 0 01 Sep 2023
Unsupervised Domain Adaptation for Anatomical Landmark Detection Haibo Jin Haoxuan Che Haoxing Chen OOD 33 14 0 25 Aug 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
Joint Dense-Point Representation for Contour-Aware Graph Segmentation Kit M. Bransby Greg Slabaugh Christos Bourantas Qianni Zhang ISeg 16 4 0 21 Jun 2023
The Past, Current, and Future of Neonatal Intensive Care Units with Artificial Intelligence Elif Keles Ulas Bagci 38 22 0 01 Feb 2023
Multi-center anatomical segmentation with heterogeneous labels via landmark-based models Nicolás Gaggion Maria Vakalopoulou Diego H. Milone Enzo Ferrante 33 5 0 14 Nov 2022
DeepSSM: A Blueprint for Image-to-Shape Deep Learning Models Riddhish Bhalodia Shireen Y. Elhabian Jadie Adams Wenzheng Tao L. Kavan R. Whitaker MedIm 95 24 0 14 Oct 2021
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 261 3,243 0 24 Nov 2016