Learning Geometry-Dependent and Physics-Based Inverse Image Reconstruction

18 July 2020

Papers citing "Learning Geometry-Dependent and Physics-Based Inverse Image Reconstruction"

9 / 9 papers shown

Title
Bayesian Optimization on Large Graphs via a Graph Convolutional Generative Model: Application in Cardiac Model Personalization Jwala Dhamala S. Ghimire J. Sapp B. Horácek Linwei Wang MedIm 68 12 0 01 Jul 2019
Generative Modeling and Inverse Imaging of Cardiac Transmembrane Potential S. Ghimire Jwala Dhamala P. Gyawali J. Sapp M. Horacek Linwei Wang MedIm 53 25 0 12 May 2019
Improving Generalization of Deep Networks for Inverse Reconstruction of Image Sequences S. Ghimire P. Gyawali Jwala Dhamala J. Sapp M. Horacek Linwei Wang DRL 43 11 0 05 Mar 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 805 8,597 0 03 Jan 2019
SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels Matthias Fey J. E. Lenssen F. Weichert H. Müller 3DPC 176 442 0 24 Nov 2017
Learned Primal-dual Reconstruction J. Adler Ozan Oktem MedIm 83 753 0 20 Jul 2017
Image reconstruction by domain transform manifold learning Bo Zhu Jeremiah Zhe Liu Bruce Rosen Matthew S. Rosen 101 1,536 0 28 Apr 2017
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 815 3,302 0 24 Nov 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,433 0 22 Dec 2014