Deep Structural Causal Shape Models

Deep Structural Causal Shape Models

23 August 2022

Daniel Coelho De Castro

Papers citing "Deep Structural Causal Shape Models"

11 / 11 papers shown

Title
Shape Modeling of Longitudinal Medical Images: From Diffeomorphic Metric Mapping to Deep Learning Edwin Tay Nazli Tümer Amir A. Zadpoor MedIm 47 0 0 27 Mar 2025
Invariant Shape Representation Learning For Image Classification Tonmoy Hossain Jing Ma Jundong Li Miaomiao Zhang 60 2 0 19 Nov 2024
Applications of interpretable deep learning in neuroimaging: a comprehensive review Lindsay Munroe Mariana da Silva Faezeh Heidari I. Grigorescu Simon Dahan E. C. Robinson Maria Deprez Po-Wah So AI4CE 34 5 0 30 May 2024
A Conditional Flow Variational Autoencoder for Controllable Synthesis of Virtual Populations of Anatomy Haoran Dou Nishant Ravikumar Alejandro F. Frangi 13 3 0 26 Jun 2023
MoleCLUEs: Molecular Conformers Maximally In-Distribution for Predictive Models Michael R. Maser Natasa Tagasovska Jae Hyeon Lee Andrew Watkins 31 0 0 20 Jun 2023
Studying Therapy Effects and Disease Outcomes in Silico using Artificial Counterfactual Tissue Samples Martin Paulikat C. M. Schurch Christian F. Baumgartner 9 0 0 06 Feb 2023
Emerging Synergies in Causality and Deep Generative Models: A Survey Guanglin Zhou Shaoan Xie Guang-Yuan Hao Shiming Chen Biwei Huang Xiwei Xu Chen Wang Liming Zhu Lina Yao Kun Zhang AI4CE 42 11 0 29 Jan 2023
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 172 1,100 0 27 Apr 2021
Explaining Visual Models by Causal Attribution Álvaro Parafita Jordi Vitrià CML FAtt 54 35 0 19 Sep 2019
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 234 1,809 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 231 3,230 0 24 Nov 2016