Generalizable and Explainable Deep Learning for Medical Image Computing: An Overview

Current Opinion in Biomedical Engineering (COBE), 2024

11 March 2025

Papers citing "Generalizable and Explainable Deep Learning for Medical Image Computing: An Overview"

25 / 25 papers shown

Title
Towards a Transparent and Interpretable AI Model for Medical Image ClassificationsCognitive Neurodynamics (Cogn Neurodyn), 2025 Binbin Wen Yihang Wu Tareef Daqqaq Ahmad Chaddad 83 0 0 20 Sep 2025
SHAP-Integrated Convolutional Diagnostic Networks for Feature-Selective Medical AnalysisIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025 Yan Hu Ahmad Chaddad 167 1 0 10 Mar 2025
A Knowledge Distillation-Based Approach to Enhance Transparency of Classifier ModelsAAAI Conference on Artificial Intelligence (AAAI), 2025 Yuchen Jiang Xinyuan Zhao Yihang Wu Ahmad Chaddad MedIm 262 3 0 21 Feb 2025
FACMIC: Federated Adaptative CLIP Model for Medical Image ClassificationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024 Yihang Wu Christian Desrosiers Ahmad Chaddad VLM 255 10 0 08 Oct 2024
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and ProspectsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Kexin Zhang Qingsong Wen Chaoli Zhang Rongyao Cai Ming Jin ... James Y. Zhang Yuxuan Liang Guansong Pang Dongjin Song Shirui Pan AI4TS 382 180 0 16 Jun 2023
Vision-Language Models for Vision Tasks: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Jingyi Zhang Jiaxing Huang Sheng Jin Shijian Lu VLM 423 938 0 03 Apr 2023
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in MedicineIEEE/CAA Journal of Automatica Sinica (JCAS), 2022 Ahmad Chaddad Qizong Lu Jiali Li Y. Katib R. Kateb C. Tanougast Ahmed Bouridane Ahmed Abdulkadir OOD 186 51 0 17 Nov 2022
Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical images Yu Cai Hao Chen Xin Yang Yu Zhou Kwang-Ting Cheng 223 3 0 09 Oct 2022
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis Benjamin Lambert Florence Forbes A. Tucholka Senan Doyle Harmonie Dehaene M. Dojat 222 134 0 05 Oct 2022
A Consistent and Efficient Evaluation Strategy for Attribution MethodsInternational Conference on Machine Learning (ICML), 2022 Yao Rong Tobias Leemann V. Borisov Gjergji Kasneci Enkelejda Kasneci FAtt 277 122 0 01 Feb 2022
Improving deep neural network generalization and robustness to background bias via layer-wise relevance propagation optimizationNature Communications (Nat Commun), 2022 P. R. Bassi Sergio S J Dertkigil Andrea Cavalli AI4CE 606 40 0 01 Feb 2022
COVIDNet-CT: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest CT ImagesFrontiers in Medicine (Front. Med.), 2020 Hayden Gunraj Linda Wang A. Wong OOD 179 216 0 08 Sep 2020
Axiom-based Grad-CAM: Towards Accurate Visualization and Explanation of CNNs Ruigang Fu Qingyong Hu Xiaohu Dong Yulan Guo Yinghui Gao Biao Li FAtt 293 332 0 05 Aug 2020
Eigen-CAM: Class Activation Map using Principal ComponentsIEEE International Joint Conference on Neural Network (IJCNN), 2020 Mohammed Bany Muhammad M. Yeasin 217 455 0 01 Aug 2020
XFake: Explainable Fake News Detector with VisualizationsThe Web Conference (WWW), 2019 Fan Yang Shiva K. Pentyala Sina Mohseni Mengnan Du Hao Yuan Rhema Linder Eric D. Ragan Shuiwang Ji Helen Zhou 141 127 0 08 Jul 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural NetworksInternational Conference on Machine Learning (ICML), 2019 Mingxing Tan Quoc V. Le 3DV MedIm 626 21,167 0 28 May 2019
Towards Explanation of DNN-based Prediction with Guided Feature Inversion Mengnan Du Ninghao Liu Qingquan Song Helen Zhou FAtt 345 131 0 19 Mar 2018
Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks Aditya Chattopadhyay Anirban Sarkar Prantik Howlader V. Balasubramanian FAtt 316 2,748 0 30 Oct 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 2.7K 28,319 0 22 May 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based LocalizationInternational Journal of Computer Vision (IJCV), 2016 Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 840 23,664 0 07 Oct 2016
Densely Connected Convolutional NetworksComputer Vision and Pattern Recognition (CVPR), 2016 Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 1.7K 40,656 0 25 Aug 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.9K 19,237 0 16 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 3.6K 214,399 0 10 Dec 2015
Very Deep Convolutional Networks for Large-Scale Image RecognitionInternational Conference on Learning Representations (ICLR), 2014 Karen Simonyan Andrew Zisserman FAtt MDE 3.4K 107,487 0 04 Sep 2014
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency MapsInternational Conference on Learning Representations (ICLR), 2013 Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 524 7,835 0 20 Dec 2013