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"

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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 60 6 0 15 Dec 2023
Pixel-Grounded Prototypical Part Networks Zachariah Carmichael Suhas Lohit A. Cherian Michael Jeffrey Jones Walter J. Scheirer 93 11 0 25 Sep 2023
Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection Cosmin I. Bercea Benedikt Wiestler Daniel Rueckert Julia A. Schnabel DiffM MedIm 74 19 0 15 Mar 2023
Don't PANIC: Prototypical Additive Neural Network for Interpretable Classification of Alzheimer's Disease Tom Nuno Wolf Sebastian Polsterl Christian Wachinger FAtt 79 7 0 13 Mar 2023
Deep Structural Causal Shape Models Rajat Rasal Daniel Coelho De Castro Nick Pawlowski Ben Glocker 3DV MedIm 75 14 0 23 Aug 2022
What is Healthy? Generative Counterfactual Diffusion for Lesion Localization Pedro Sanchez Antanas Kascenas Xiao Liu Alison Q. OÑeil Sotirios A. Tsaftaris MedIm DiffM 91 68 0 25 Jul 2022
Interpretable differential diagnosis for Alzheimer's disease and Frontotemporal dementia H. Nguyen Michael Clement Boris Mansencal Pierrick Coupé 17 13 0 15 Jun 2022
Interpretability of Machine Learning Methods Applied to Neuroimaging Elina Thibeau-Sutre S. Collin Ninon Burgos O. Colliot 45 5 0 14 Apr 2022
Surface Vision Transformers: Attention-Based Modelling applied to Cortical Analysis Simon Dahan Abdulah Fawaz Logan Z. J. Williams Chunhui Yang Timothy S. Coalson M. Glasser A. Edwards Daniel Rueckert E. C. Robinson MedIm ViT 62 21 0 30 Mar 2022
A General Survey on Attention Mechanisms in Deep Learning Gianni Brauwers Flavius Frasincar 66 321 0 27 Mar 2022
Diffusion Models for Medical Anomaly Detection J. Wolleb Florentin Bieder Robin Sandkühler Philippe C. Cattin MedIm DiffM 102 279 0 08 Mar 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 298 30,149 0 01 Mar 2022
Attention Mechanisms in Computer Vision: A Survey Meng-Hao Guo Tianhan Xu Jiangjiang Liu Zheng-Ning Liu Peng-Tao Jiang Tai-Jiang Mu Song-Hai Zhang Ralph Robert Martin Ming-Ming Cheng Shimin Hu 119 1,702 0 15 Nov 2021
Voxel-level Importance Maps for Interpretable Brain Age Estimation Kyriaki-Margarita Bintsi V. Baltatzis A. Hammers Daniel Rueckert 51 12 0 11 Aug 2021
UNETR: Transformers for 3D Medical Image Segmentation Ali Hatamizadeh Yucheng Tang Vishwesh Nath Dong Yang Andriy Myronenko Bennett Landman H. Roth Daguang Xu ViT MedIm 182 1,613 0 18 Mar 2021
A Structural Causal Model for MR Images of Multiple Sclerosis Jacob C. Reinhold A. Carass Jerry L. Prince CML MedIm 66 29 0 04 Mar 2021
ICAM-reg: Interpretable Classification and Regression with Feature Attribution for Mapping Neurological Phenotypes in Individual Scans Cher Bass Mariana da Silva Carole Sudre Logan Z. J. Williams Petru-Daniel Tudosiu F. Alfaro-Almagro S. Fitzgibbon M. Glasser Stephen M. Smith E. C. Robinson 50 27 0 03 Mar 2021
U-Noise: Learnable Noise Masks for Interpretable Image Segmentation Teddy Koker Fatemehsadat Mireshghallah Tom Titcombe Georgios Kaissis 30 22 0 14 Jan 2021
Training data-efficient image transformers & distillation through attention Hugo Touvron Matthieu Cord Matthijs Douze Francisco Massa Alexandre Sablayrolles Hervé Jégou ViT 389 6,802 0 23 Dec 2020
Investigating Saturation Effects in Integrated Gradients Vivek Miglani Narine Kokhlikyan B. Alsallakh Miguel Martin Orion Reblitz-Richardson FAtt 86 26 0 23 Oct 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 670 41,430 0 22 Oct 2020
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation Ran Gu Guotai Wang Tao Song Rui Huang Michael Aertsen Jan Deprest Sébastien Ourselin Tom Vercauteren Shaoting Zhang SSeg 107 469 0 22 Sep 2020
Deep sr-DDL: Deep Structurally Regularized Dynamic Dictionary Learning to Integrate Multimodal and Dynamic Functional Connectomics data for Multidimensional Clinical Characterizations N. S. D'Souza M. B. Nebel D. Crocetti N. Wymbs Joshua Robinson S. Mostofsky A. Venkataraman 31 14 0 27 Aug 2020
Abstracting Deep Neural Networks into Concept Graphs for Concept Level Interpretability Avinash Kori Parth Natekar Ganapathy Krishnamurthi Balaji Srinivasan 67 9 0 14 Aug 2020
Interpretation of Brain Morphology in Association to Alzheimer's Disease Dementia Classification Using Graph Convolutional Networks on Triangulated Meshes Emanuel A. Azcona P. Besson Yunan Wu Arjun Punjabi Adam Martersteck Amil Dravid T. Parrish S. Bandt Aggelos K. Katsaggelos MedIm 24 11 0 14 Aug 2020
An Explainable 3D Residual Self-Attention Deep Neural Network FOR Joint Atrophy Localization and Alzheimer's Disease Diagnosis using Structural MRI Xin Zhang Liangxiu Han Wenyong Zhu Liang Sun Daoqiang Zhang MedIm 51 123 0 10 Aug 2020
An Explainable Machine Learning Model for Early Detection of Parkinson's Disease using LIME on DaTscan Imagery Pavan Rajkumar Magesh Richard Delwin Myloth Rijo Jackson Tom FAtt 42 192 0 01 Aug 2020
Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis Xiaoxiao Li Yuan Zhou Nicha Dvornek Muhan Zhang Juntang Zhuang P. Ventola James S Duncan 57 58 0 29 Jul 2020
Interpretation of Disease Evidence for Medical Images Using Adversarial Deformation Fields Ricardo Bigolin Lanfredi Joyce D. Schroeder C. Vachet Tolga Tasdizen MedIm 35 6 0 04 Jul 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 689 18,310 0 19 Jun 2020
Interpretable multimodal fusion networks reveal mechanisms of brain cognition Wenxing Hu Xianghe Meng Yuntong Bai Aiying Zhang Biao Cai Gemeng Zhang T. Wilson Julia M. Stephen Vince D. Calhoun Yu-Ping Wang 31 38 0 16 Jun 2020
ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping Cher Bass Mariana da Silva Carole Sudre Petru-Daniel Tudosiu Stephen M. Smith E. C. Robinson FAtt 40 40 0 15 Jun 2020
Deep Structural Causal Models for Tractable Counterfactual Inference Nick Pawlowski Daniel Coelho De Castro Ben Glocker CML MedIm 106 242 0 11 Jun 2020
Explainable deep learning models in medical image analysis Amitojdeep Singh S. Sengupta Vasudevan Lakshminarayanan XAI 92 492 0 28 May 2020
Explainable Deep CNNs for MRI-Based Diagnosis of Alzheimer's Disease Eduardo Nigri N. Ziviani F. Cappabianco Augusto Antunes Adriano Veloso MedIm 25 39 0 25 Apr 2020
Understanding Graph Isomorphism Network for rs-fMRI Functional Connectivity Analysis Byung-Hoon Kim J. C. Ye AI4CE GNN 79 131 0 10 Jan 2020
Causality matters in medical imaging Daniel Coelho De Castro Ian Walker Ben Glocker CML 48 344 0 17 Dec 2019
Architectural configurations, atlas granularity and functional connectivity with diagnostic value in Autism Spectrum Disorder C. Mellema A. Treacher K. Nguyen A. Montillo 8 4 0 25 Nov 2019
Visualization approach to assess the robustness of neural networks for medical image classification Elina Thibeau-Sutre O. Colliot Didier Dormont Ninon Burgos 47 15 0 19 Nov 2019
Input-Cell Attention Reduces Vanishing Saliency of Recurrent Neural Networks Aya Abdelsalam Ismail Mohamed K. Gunady L. Pessoa H. C. Bravo Soheil Feizi AI4TS 81 50 0 27 Oct 2019
Jointly Discriminative and Generative Recurrent Neural Networks for Learning from fMRI Nicha Dvornek Xiaoxiao Li Juntang Zhuang James S. Duncan 46 28 0 15 Oct 2019
Testing the robustness of attribution methods for convolutional neural networks in MRI-based Alzheimer's disease classification Fabian Eitel K. Ritter OOD FAtt 47 74 0 19 Sep 2019
Generation of 3D Brain MRI Using Auto-Encoding Generative Adversarial Networks Gihyun Kwon Chihye Han Dae-Shik Kim GAN MedIm 67 129 0 07 Aug 2019
Confounder-Aware Visualization of ConvNets Qingyu Zhao Ehsan Adeli A. Pfefferbaum E. Sullivan K. Pohl FAtt 41 15 0 30 Jul 2019
Benchmarking Attribution Methods with Relative Feature Importance Mengjiao Yang Been Kim FAtt XAI 69 142 0 23 Jul 2019
Graph Neural Network for Interpreting Task-fMRI Biomarkers Xiaoxiao Li Nicha Dvornek Yuan Zhou Juntang Zhuang P. Ventola James S. Duncan 78 103 0 02 Jul 2019
Is Attention Interpretable? Sofia Serrano Noah A. Smith 108 684 0 09 Jun 2019
Transfer Learning with intelligent training data selection for prediction of Alzheimer's Disease N. Khan Marcia Hon Nabila Abraham 28 129 0 04 Jun 2019
Variational AutoEncoder For Regression: Application to Brain Aging Analysis Qingyu Zhao Ehsan Adeli N. Honnorat Tuo Leng K. Pohl DRL BDL 64 85 0 11 Apr 2019
Attention is not Explanation Sarthak Jain Byron C. Wallace FAtt 148 1,328 0 26 Feb 2019