An Interpretable Representation Learning Approach for Diffusion Tensor Imaging

25 May 2025

Papers citing "An Interpretable Representation Learning Approach for Diffusion Tensor Imaging"

8 / 8 papers shown

Title
A separability-based approach to quantifying generalization: which layer is best? Luciano Dyballa Evan Gerritz Steven W. Zucker OOD 87 4 0 02 May 2024
TractGraphCNN: anatomically informed graph CNN for classification using diffusion MRI tractography Yuqian Chen Fan Zhang L. Zekelman Tengfei Xue Chaoyi Zhang Yang Song N. Makris Yogesh Rathi Weidong (Tom) Cai L. O’Donnell DiffM MedIm 41 10 0 05 Jan 2023
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 218 10,591 0 17 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 255 18,607 0 13 Feb 2020
Spatial Broadcast Decoder: A Simple Architecture for Learning Disentangled Representations in VAEs Nicholas Watters Loic Matthey Christopher P. Burgess Alexander Lerchner CoGe 51 167 0 21 Jan 2019
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 453 129,831 0 12 Jun 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 552 21,613 0 22 May 2017
Deep metric learning using Triplet network Elad Hoffer Nir Ailon SSL DML 140 1,991 0 20 Dec 2014