Applications of interpretable deep learning in neuroimaging: a comprehensive review

30 May 2024

Papers citing "Applications of interpretable deep learning in neuroimaging: a comprehensive review"

7 / 7 papers shown

Title
Keep the Faith: Faithful Explanations in Convolutional Neural Networks for Case-Based Reasoning Tom Nuno Wolf Fabian Bongratz Anne-Marie Rickmann Sebastian Polsterl Christian Wachinger AAML FAtt 40 6 0 15 Dec 2023
Going Beyond Saliency Maps: Training Deep Models to Interpret Deep Models Zixuan Liu Ehsan Adeli K. Pohl Qingyu Zhao FAtt MedIm 23 8 0 16 Feb 2021
Investigating Saturation Effects in Integrated Gradients Vivek Miglani Narine Kokhlikyan B. Alsallakh Miguel Martin Orion Reblitz-Richardson FAtt 16 23 0 23 Oct 2020
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 234 2,238 0 24 Jun 2017
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 252 36,362 0 25 Aug 2016
Hough-CNN: Deep Learning for Segmentation of Deep Brain Regions in MRI and Ultrasound Fausto Milletari Seyed-Ahmad Ahmadi Christine Kroll A. Plate Verena E. Rozanski ... J. Levin O. Dietrich B. Ertl-Wagner K. Boetzel Nassir Navab 200 363 0 26 Jan 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 294 75,800 0 18 May 2015