Explainable Deep Learning Methods in Medical Image Classification: A Survey

10 May 2022

João C. Neves

Papers citing "Explainable Deep Learning Methods in Medical Image Classification: A Survey"

28 / 28 papers shown

Title
Explainable AI the Latest Advancements and New Trends Bowen Long Enjie Liu Renxi Qiu Yanqing Duan XAI 19 0 0 11 May 2025
Probabilistic Stability Guarantees for Feature Attributions Helen Jin Anton Xue Weiqiu You Surbhi Goel Eric Wong 19 0 0 18 Apr 2025
Secure Diagnostics: Adversarial Robustness Meets Clinical Interpretability Mohammad Hossein Najafi Mohammad Morsali Mohammadreza Pashanejad Saman Soleimani Roudi Mohammad Norouzi Saeed Bagheri Shouraki AAML 18 0 0 07 Apr 2025
This looks like what? Challenges and Future Research Directions for Part-Prototype Models Khawla Elhadri Tomasz Michalski Adam Wróbel Jorg Schlotterer Bartosz Zieliñski C. Seifert 84 0 0 13 Feb 2025
Cross- and Intra-image Prototypical Learning for Multi-label Disease Diagnosis and Interpretation Chong Wang Fengbei Liu Yuanhong Chen Helen Frazer Gustavo Carneiro 27 2 0 07 Nov 2024
Lost in Context: The Influence of Context on Feature Attribution Methods for Object Recognition Sayanta Adhikari Rishav Kumar Konda Reddy Mopuri Rajalakshmi Pachamuthu 26 0 0 05 Nov 2024
Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks Junlin Hou Sicen Liu Yequan Bie Hongmei Wang Andong Tan Luyang Luo Hao Chen XAI 23 3 0 03 Oct 2024
InfoDisent: Explainability of Image Classification Models by Information Disentanglement Łukasz Struski Dawid Rymarczyk Jacek Tabor 46 0 0 16 Sep 2024
DWARF: Disease-weighted network for attention map refinement Haozhe Luo Aurélie Pahud de Mortanges Oana Inel Abraham Bernstein Mauricio Reyes MedIm 26 3 0 24 Jun 2024
DiffExplainer: Unveiling Black Box Models Via Counterfactual Generation Yingying Fang Shuang Wu Zihao Jin Caiwen Xu Shiyi Wang Simon Walsh Guang Yang MedIm 29 4 0 21 Jun 2024
Unsupervised Contrastive Analysis for Salient Pattern Detection using Conditional Diffusion Models Cristiano Patrício C. Barbano A. Fiandrotti Riccardo Renzulli Marco Grangetto Luís F. Teixeira João C. Neves DiffM MedIm 24 0 0 02 Jun 2024
Explainable Interface for Human-Autonomy Teaming: A Survey Xiangqi Kong Yang Xing Antonios Tsourdos Ziyue Wang Weisi Guo Adolfo Perrusquía Andreas Wikander 30 3 0 04 May 2024
Artificial Intelligence in Bone Metastasis Analysis: Current Advancements, Opportunities and Challenges Marwa Afnouch F. Bougourzi Olfa Gaddour Fadi Dornaika Abdelmalik Taleb-Ahmed 20 0 0 30 Apr 2024
Interaction as Explanation: A User Interaction-based Method for Explaining Image Classification Models Hyeonggeun Yun 37 0 0 15 Apr 2024
MAProtoNet: A Multi-scale Attentive Interpretable Prototypical Part Network for 3D Magnetic Resonance Imaging Brain Tumor Classification Binghua Li Jie Mao Zhe Sun Chao Li Qibin Zhao Toshihisa Tanaka 16 0 0 13 Apr 2024
A Systematic Literature Review on Explainability for Machine/Deep Learning-based Software Engineering Research Sicong Cao Xiaobing Sun Ratnadira Widyasari David Lo Xiaoxue Wu ... Jiale Zhang Bin Li Wei Liu Di Wu Yixin Chen 24 6 0 26 Jan 2024
Can Physician Judgment Enhance Model Trustworthiness? A Case Study on Predicting Pathological Lymph Nodes in Rectal Cancer Kazuma Kobayashi Yasuyuki Takamizawa M. Miyake Sono Ito Lin Gu Tatsuya Nakatsuka Yu Akagi Tatsuya Harada Y. Kanemitsu Ryuji Hamamoto 25 2 0 15 Dec 2023
Medical Image Captioning via Generative Pretrained Transformers Alexander Selivanov Oleg Y. Rogov Daniil Chesakov Artem Shelmanov Irina Fedulova Dmitry V. Dylov MedIm 49 54 0 28 Sep 2022
Transformers in Medical Imaging: A Survey Fahad Shamshad Salman Khan Syed Waqas Zamir Muhammad Haris Khan Munawar Hayat F. Khan H. Fu ViT LM&MA MedIm 106 660 0 24 Jan 2022
ExAID: A Multimodal Explanation Framework for Computer-Aided Diagnosis of Skin Lesions Adriano Lucieri Muhammad Naseer Bajwa S. Braun M. I. Malik Andreas Dengel Sheraz Ahmed 31 61 0 04 Jan 2022
Interpretable Mammographic Image Classification using Case-Based Reasoning and Deep Learning A. Barnett F. Schwartz Chaofan Tao Chaofan Chen Yinhao Ren J. Lo Cynthia Rudin 62 21 0 12 Jul 2021
Evaluating Deep Neural Networks Trained on Clinical Images in Dermatology with the Fitzpatrick 17k Dataset Matthew Groh Caleb Harris L. Soenksen Felix Lau Rachel Han Aerin Kim A. Koochek Omar Badri 104 180 0 20 Apr 2021
Recent Advances in Adversarial Training for Adversarial Robustness Tao Bai Jinqi Luo Jun Zhao B. Wen Qian Wang AAML 71 473 0 02 Feb 2021
Using StyleGAN for Visual Interpretability of Deep Learning Models on Medical Images K. Schutte O. Moindrot P. Hérent Jean-Baptiste Schiratti S. Jégou FAtt MedIm 29 60 0 19 Jan 2021
Explaining the Black-box Smoothly- A Counterfactual Approach Junyu Chen Yong Du Yufan He W. Paul Segars Ye Li MedIm FAtt 63 83 0 11 Jan 2021
VarGrad: A Low-Variance Gradient Estimator for Variational Inference Lorenz Richter Ayman Boustati Nikolas Nusken Francisco J. R. Ruiz Ömer Deniz Akyildiz DRL 127 48 0 20 Oct 2020
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 278 10,599 0 19 Feb 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,109 0 06 Jun 2015