Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond

3 February 2021

Guang Yang

Papers citing "Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond"

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Title
Causally-informed Deep Learning towards Explainable and Generalizable Outcomes Prediction in Critical Care Yuxiao Cheng Xinxin Song Ziqian Wang Qin Zhong Kunlun He J. Suo OOD CML 114 0 0 04 Feb 2025
A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics Kai He Rui Mao Qika Lin Yucheng Ruan Xiang Lan Mengling Feng Min Zhang LM&MA AILaw 190 171 0 28 Jan 2025
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction Melkamu Mersha Khang Lam Joseph Wood Ali AlShami Jugal Kalita XAI AI4TS 249 33 0 30 Aug 2024
The Three Ghosts of Medical AI: Can the Black-Box Present Deliver? Thomas P. Quinn Stephan Jacobs M. Senadeera Vuong Le S. Coghlan 45 115 0 10 Dec 2020
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans M. Roberts D. Driggs Matthew Thorpe J. Gilbey Michael Yeung ... Kang Zhang S. Stranks James H. F. Rudd Evis Sala Carola-Bibiane Schönlieb OOD 58 770 0 14 Aug 2020
Survey of XAI in digital pathology Milda Pocevičiūtė Gabriel Eilertsen Claes Lundström 57 56 0 14 Aug 2020
Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia Xi Ouyang Jiayu Huo L. Xia F. Shan Jun Liu ... Xiaohuan Cao Yaozong Gao Dijia Wu Qian Wang Dinggang Shen 52 311 0 06 May 2020
Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification from CT Images Shaoping Hu Yuan Gao Zhangming Niu Yinghui Jiang Lao Li ... E. Fang Wade Menpes-Smith Jun Xia Hui Ye Guang Yang 46 317 0 14 Apr 2020
COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-Ray Images Linda Wang A. Wong OOD 99 2,502 0 22 Mar 2020
SurvLIME: A method for explaining machine learning survival models M. Kovalev Lev V. Utkin E. Kasimov 239 90 0 18 Mar 2020
Explainable artificial intelligence model to predict acute critical illness from electronic health records S. Lauritsen Mads Kristensen Mathias Vassard Olsen Morten Skaarup Larsen K. M. Lauritsen Marianne Johansson Jørgensen Jeppe Lange B. Thiesson 51 302 0 03 Dec 2019
Explaining Models by Propagating Shapley Values of Local Components Hugh Chen Scott M. Lundberg Su-In Lee FAtt FedML 39 109 0 27 Nov 2019
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 116 6,251 0 22 Oct 2019
Towards Explainable Artificial Intelligence Wojciech Samek K. Müller XAI 63 442 0 26 Sep 2019
Benchmarking TPU, GPU, and CPU Platforms for Deep Learning Y. Wang Gu-Yeon Wei David Brooks ELM VLM 57 274 0 24 Jul 2019
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI Erico Tjoa Cuntai Guan XAI 89 1,446 0 17 Jul 2019
Generation of Multimodal Justification Using Visual Word Constraint Model for Explainable Computer-Aided Diagnosis Hyebin Lee S. T. Kim Yong Man Ro MedIm 46 44 0 10 Jun 2019
What Clinicians Want: Contextualizing Explainable Machine Learning for Clinical End Use S. Tonekaboni Shalmali Joshi M. Mccradden Anna Goldenberg 65 393 0 13 May 2019
Deep Learning for Audio Signal Processing Hendrik Purwins Yue Liu Tuomas Virtanen Jan Schlüter Shuo-yiin Chang Tara N. Sainath VLM 72 592 0 30 Apr 2019
Atrial Scar Quantification via Multi-scale CNN in the Graph-cuts Framework Lei Li Fuping Wu Guang Yang Lingchao Xu T. Wong R. Mohiaddin D. Firmin J. Keegan Xiahai Zhuang MedIm 37 69 0 21 Feb 2019
An Evaluation of the Human-Interpretability of Explanation Isaac Lage Emily Chen Jeffrey He Menaka Narayanan Been Kim Sam Gershman Finale Doshi-Velez FAtt XAI 106 156 0 31 Jan 2019
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation Tuan-Hung Vu Himalaya Jain Max Bucher Matthieu Cord P. Pérez 123 1,291 0 30 Nov 2018
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness Robert Geirhos Patricia Rubisch Claudio Michaelis Matthias Bethge Felix Wichmann Wieland Brendel 96 2,666 0 29 Nov 2018
Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record Jinghe Zhang Kamran Kowsari James H. Harrison J. Lobo Laura E. Barnes 55 136 0 10 Oct 2018
Techniques for Interpretable Machine Learning Mengnan Du Ninghao Liu Xia Hu FaML 77 1,090 0 31 Jul 2018
UNet++: A Nested U-Net Architecture for Medical Image Segmentation Zongwei Zhou M. R. Siddiquee Nima Tajbakhsh Jianming Liang SSeg 101 6,134 0 18 Jul 2018
RuleMatrix: Visualizing and Understanding Classifiers with Rules Yao Ming Huamin Qu E. Bertini FAtt 62 215 0 17 Jul 2018
Object Detection with Deep Learning: A Review Zhong-Qiu Zhao Peng Zheng Shou-tao Xu Xindong Wu ObjD 92 4,008 0 15 Jul 2018
Multiple Instance Learning for Heterogeneous Images: Training a CNN for Histopathology Heather D. Couture J. S. Marron C. Perou M. Troester Marc Niethammer 3DH 50 61 0 13 Jun 2018
Respond-CAM: Analyzing Deep Models for 3D Imaging Data by Visualizations Guannan Zhao Bo Zhou Kaiwen Wang Rui Jiang Min Xu FAtt MedIm 54 48 0 31 May 2018
RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records Bum Chul Kwon Min-Je Choi J. Kim Edward Choi Young Bin Kim Soonwook Kwon Jimeng Sun Jaegul Choo 67 252 0 28 May 2018
Weakly-Supervised Learning-Based Feature Localization in Confocal Laser Endomicroscopy Glioma Images Mohammadhassan Izadyyazdanabadi E. Belykh C. Cavallo Xiaochun Zhao S. Gandhi L. Moreira J. Eschbacher P. Nakaji M. Preul Yezhou Yang 66 35 0 25 Apr 2018
Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning David Mascharka Philip Tran Ryan Soklaski Arjun Majumdar 102 207 0 14 Mar 2018
DeepSOFA: A Continuous Acuity Score for Critically Ill Patients using Clinically Interpretable Deep Learning B. Shickel Tyler J. Loftus Lasith Adhikari T. Ozrazgat-Baslanti A. Bihorac Parisa Rashidi 56 133 0 28 Feb 2018
Model compression via distillation and quantization A. Polino Razvan Pascanu Dan Alistarh MQ 76 729 0 15 Feb 2018
What do we need to build explainable AI systems for the medical domain? Andreas Holzinger Chris Biemann C. Pattichis D. Kell 66 689 0 28 Dec 2017
Distilling a Neural Network Into a Soft Decision Tree Nicholas Frosst Geoffrey E. Hinton 389 636 0 27 Nov 2017
Beyond Sparsity: Tree Regularization of Deep Models for Interpretability Mike Wu M. C. Hughes S. Parbhoo Maurizio Zazzi Volker Roth Finale Doshi-Velez AI4CE 117 282 0 16 Nov 2017
Grader variability and the importance of reference standards for evaluating machine learning models for diabetic retinopathy Jonathan Krause Varun Gulshan E. Rahimy Peter Karth Kasumi Widner G. Corrado L. Peng D. Webster 148 440 0 04 Oct 2017
Deep Learning for Medical Image Analysis Mina Rezaei Haojin Yang Christoph Meinel 73 2,057 0 17 Aug 2017
MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network Zizhao Zhang Yuanpu Xie Fuyong Xing M. McGough Ling Yang MedIm 51 301 0 08 Jul 2017
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 278 2,262 0 24 Jun 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.1K 21,815 0 22 May 2017
Learning Important Features Through Propagating Activation Differences Avanti Shrikumar Peyton Greenside A. Kundaje FAtt 188 3,869 0 10 Apr 2017
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 618 10,759 0 19 Feb 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 268 19,929 0 07 Oct 2016
RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism Edward Choi M. T. Bahadori Joshua A. Kulas A. Schuetz Walter F. Stewart Jimeng Sun AI4TS 109 1,244 0 19 Aug 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.1K 16,931 0 16 Feb 2016
Learning Deep Features for Discriminative Localization Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba SSL SSeg FAtt 241 9,305 0 14 Dec 2015
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.1K 193,814 0 10 Dec 2015