Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods

1 November 2021

Papers citing "Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods"

50 / 67 papers shown

Title
xEEGNet: Towards Explainable AI in EEG Dementia Classification A. Zanola L. F. Tshimanga Federico Del Pup Marco Baiesi M. Atzori 29 0 0 30 Apr 2025
MERA: Multimodal and Multiscale Self-Explanatory Model with Considerably Reduced Annotation for Lung Nodule Diagnosis Jiahao Lu Chong Yin Silvia Ingala Kenny Erleben M. Nielsen S. Darkner 51 0 0 27 Apr 2025
Explicit and Implicit Representations in AI-based 3D Reconstruction for Radiology: A Systematic Review Yuezhe Yang Boyu Yang Yaqian Wang Yang He Xingbo Dong Zhe Jin 38 0 0 15 Apr 2025
Learning to Harmonize Cross-vendor X-ray Images by Non-linear Image Dynamics Correction Yucheng Lu Shunxin Wang Dovile Juodelyte V. Cheplygina MedIm 34 0 0 14 Apr 2025
TraNCE: Transformative Non-linear Concept Explainer for CNNs Ugochukwu Ejike Akpudo Yongsheng Gao J. Zhou Andrew Lewis 68 0 0 26 Mar 2025
CoRPA: Adversarial Image Generation for Chest X-rays Using Concept Vector Perturbations and Generative Models Amy Rafferty Rishi Ramaesh Ajitha Rajan MedIm AAML 56 0 0 04 Feb 2025
MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations Qixuan Jin Walter Gerych Marzyeh Ghassemi DiffM MedIm 33 0 0 16 Nov 2024
Artificial Intelligence in Pediatric Echocardiography: Exploring Challenges, Opportunities, and Clinical Applications with Explainable AI and Federated Learning M. Y. Jabarulla T. Uden Thomas Jack P. Beerbaum S. Oeltze-jafra 37 1 0 15 Nov 2024
Impact of white noise in artificial neural networks trained for classification: performance and noise mitigation strategies N. Semenova Daniel Brunner 35 4 0 07 Nov 2024
Looking into Concept Explanation Methods for Diabetic Retinopathy Classification Andrea M. Storås Josefine V. Sundgaard 37 0 0 04 Oct 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 25 3 0 03 Oct 2024
Bias Assessment and Data Drift Detection in Medical Image Analysis: A Survey Andrea Prenner Bernhard Kainz 35 0 0 26 Sep 2024
Explainable AI for Autism Diagnosis: Identifying Critical Brain Regions Using fMRI Data Suryansh Vidya Kush Gupta Amir Aly Andy Wills Emmanuel Ifeachor Rohit Shankar 34 1 0 19 Sep 2024
Exploring the Feasibility of Multimodal Chatbot AI as Copilot in Pathology Diagnostics: Generalist Model's Pitfall Mianxin Liu Jianfeng Wu Fang Yan Hongjun Li Wei Wang Shaoting Zhang Zhe Wang LM&MA 32 0 0 04 Sep 2024
Counterfactuals and Uncertainty-Based Explainable Paradigm for the Automated Detection and Segmentation of Renal Cysts in Computed Tomography Images: A Multi-Center Study Zohaib Salahuddin A. Ibrahim Sheng Kuang Y. Widaatalla R. Miclea ... Tom Marcelissen Patricia Zondervan Auke Jager Philippe Lambin Henry C. Woodruff MedIm 27 0 0 07 Aug 2024
Methodological Explainability Evaluation of an Interpretable Deep Learning Model for Post-Hepatectomy Liver Failure Prediction Incorporating Counterfactual Explanations and Layerwise Relevance Propagation: A Prospective In Silico Trial Xian Zhong Zohaib Salahuddin Yi Chen Henry C. Woodruff H. Long ... Lili Chen Dongming Li Xiaoyan Xie Manxia Lin Philippe Lambin 44 1 0 07 Aug 2024
Mask-Free Neuron Concept Annotation for Interpreting Neural Networks in Medical Domain Hyeon Bae Kim Yong Hyun Ahn Seong Tae Kim 47 1 0 16 Jul 2024
Regulating Model Reliance on Non-Robust Features by Smoothing Input Marginal Density Peiyu Yang Naveed Akhtar Mubarak Shah Ajmal Saeed Mian AAML 34 1 0 05 Jul 2024
A Survey on Trustworthiness in Foundation Models for Medical Image Analysis Congzhen Shi Ryan Rezai Jiaxi Yang Qi Dou Xiaoxiao Li MedIm 31 4 0 03 Jul 2024
MDA: An Interpretable Multi-Modal Fusion with Missing Modalities and Intrinsic Noise Lin Fan Yafei Ou Cenyang Zheng Pengyu Dai Tamotsu Kamishima Masayuki Ikebe Kenji Suzuki Xun Gong 41 0 0 15 Jun 2024
Global AI Governance in Healthcare: A Cross-Jurisdictional Regulatory Analysis Attrayee Chakraborty M. Karhade 23 3 0 12 Jun 2024
Shaping History: Advanced Machine Learning Techniques for the Analysis and Dating of Cuneiform Tablets over Three Millennia Danielle Kapon Michael Fire S. Gordin 36 1 0 06 Jun 2024
Length-scale study in deep learning prediction for non-small cell lung cancer brain metastasis Haowen Zhou Steven S. Lin Mark Watson Cory T. Bernadt Oumeng Zhang R. Govindan R. Cote Changhuei Yang 23 0 0 01 Jun 2024
Convolutional Neural Network Model Observers Discount Signal-like Anatomical Structures During Search in Virtual Digital Breast Tomosynthesis Phantoms Aditya Jonnalagadda B. Barufaldi Andrew D. A. Maidment Susan P. Weinstein C. Abbey Miguel P. Eckstein MedIm 32 0 0 23 May 2024
Impact of white Gaussian internal noise on analog echo-state neural networks Nadezhda Semenova 28 2 0 13 May 2024
A review of deep learning-based information fusion techniques for multimodal medical image classification Yi-Hsuan Li Mostafa EL HABIB DAHO Pierre-Henri Conze Rachid Zeghlache Hugo Le Boité R. Tadayoni B. Cochener M. Lamard G. Quellec 35 31 0 23 Apr 2024
Med-MoE: Mixture of Domain-Specific Experts for Lightweight Medical Vision-Language Models Songtao Jiang Tuo Zheng Yan Zhang Yeying Jin Li Yuan Zuozhu Liu MoE 29 14 0 16 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 28 0 0 13 Apr 2024
An Interpretable Cross-Attentive Multi-modal MRI Fusion Framework for Schizophrenia Diagnosis Ziyu Zhou Anton Orlichenko Gang Qu Z. Fu Vince D. Calhoun Zhengming Ding Yu-Ping Wang 18 2 0 29 Mar 2024
PIPNet3D: Interpretable Detection of Alzheimer in MRI Scans Lisa Anita De Santi Jorg Schlotterer Michael Scheschenja Joel Wessendorf Meike Nauta Vincenzo Positano Christin Seifert MedIm 38 3 0 27 Mar 2024
Deep learning with noisy labels in medical prediction problems: a scoping review Yishu Wei Yu Deng Cong Sun Mingquan Lin Hongmei Jiang Yifan Peng NoLa 24 5 0 19 Mar 2024
Explaining Genetic Programming Trees using Large Language Models Paula Maddigan Andrew Lensen Bing Xue AI4CE 24 5 0 06 Mar 2024
Catastrophic Overfitting: A Potential Blessing in Disguise Mengnan Zhao Lihe Zhang Yuqiu Kong Baocai Yin AAML 47 1 0 28 Feb 2024
NormEnsembleXAI: Unveiling the Strengths and Weaknesses of XAI Ensemble Techniques Weronika Hryniewska-Guzik Bartosz Sawicki P. Biecek 38 0 0 30 Jan 2024
SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology S. Kapse Pushpak Pati Srijan Das Jingwei Zhang Chao Chen Maria Vakalopoulou Joel H. Saltz Dimitris Samaras Rajarsi R. Gupta Prateek Prasanna 29 10 0 22 Dec 2023
Pneumonia Detection on chest X-ray images Using Ensemble of Deep Convolutional Neural Networks Alhassan Mabrouk R. D. Díaz Redondo Abdelghani Dahou M. A. Abd Elaziz Mohammed Kayed 15 90 0 13 Dec 2023
Benchmarking and Enhancing Disentanglement in Concept-Residual Models Renos Zabounidis Ini Oguntola Konghao Zhao Joseph Campbell Simon Stepputtis Katia P. Sycara 27 1 0 30 Nov 2023
Deep Neural Decision Forest: A Novel Approach for Predicting Recovery or Decease of COVID-19 Patients with Clinical and RT-PCR Mohammad Dehghani Zahra Yazdanparast Rasoul Samani 11 0 0 23 Nov 2023
Corrupting Neuron Explanations of Deep Visual Features Divyansh Srivastava Tuomas P. Oikarinen Tsui-Wei Weng FAtt AAML 17 2 0 25 Oct 2023
A Framework for Interpretability in Machine Learning for Medical Imaging Alan Q. Wang Batuhan K. Karaman Heejong Kim Jacob Rosenthal Rachit Saluja Sean I. Young M. Sabuncu AI4CE 17 10 0 02 Oct 2023
A Survey on Image-text Multimodal Models Ruifeng Guo Jingxuan Wei Linzhuang Sun Khai Le-Duc Guiyong Chang Dawei Liu Sibo Zhang Zhengbing Yao Mingjun Xu Liping Bu VLM 31 5 0 23 Sep 2023
Rethinking Data Distillation: Do Not Overlook Calibration Dongyao Zhu Bowen Lei Jie M. Zhang Yanbo Fang Ruqi Zhang Yiqun Xie Dongkuan Xu DD FedML 23 15 0 24 Jul 2023
Identifying Interpretable Subspaces in Image Representations N. Kalibhat S. Bhardwaj Bayan Bruss Hamed Firooz Maziar Sanjabi S. Feizi FAtt 42 26 0 20 Jul 2023
Interpreting and Correcting Medical Image Classification with PIP-Net Meike Nauta J. H. Hegeman J. Geerdink Jorg Schlotterer M. V. Keulen Christin Seifert MedIm 25 11 0 19 Jul 2023
SHAMSUL: Systematic Holistic Analysis to investigate Medical Significance Utilizing Local interpretability methods in deep learning for chest radiography pathology prediction Mahbub Ul Alam Jaakko Hollmén Jón R. Baldvinsson R. Rahmani FAtt 31 1 0 16 Jul 2023
Interpreting and generalizing deep learning in physics-based problems with functional linear models Amirhossein Arzani Lingxiao Yuan P. Newell Bei Wang AI4CE 31 7 0 10 Jul 2023
TMS-Net: A Segmentation Network Coupled With A Run-time Quality Control Method For Robust Cardiac Image Segmentation F. Uslu Anil A. Bharath 39 14 0 21 Dec 2022
Interpretable Diabetic Retinopathy Diagnosis based on Biomarker Activation Map P. Zang T. Hormel Jie Wang Yukun Guo Steven T. Bailey C. Flaxel David Huang T. Hwang Yali Jia MedIm 17 7 0 13 Dec 2022
Evaluation and Improvement of Interpretability for Self-Explainable Part-Prototype Networks Qihan Huang Mengqi Xue Wenqi Huang Haofei Zhang Jie Song Yongcheng Jing Mingli Song AAML 24 26 0 12 Dec 2022
What Makes a Good Explanation?: A Harmonized View of Properties of Explanations Zixi Chen Varshini Subhash Marton Havasi Weiwei Pan Finale Doshi-Velez XAI FAtt 33 18 0 10 Nov 2022