Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine

17 November 2022

Papers citing "Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine"

50 / 87 papers shown

Title
Generalizable and Explainable Deep Learning for Medical Image Computing: An Overview Ahmad Chaddad Yan Hu Yihang Wu Binbin Wen R. Kateb 114 7 0 11 Mar 2025
Deep radiomic signature with immune cell markers predicts the survival of glioma patients Ahmad Chaddad Mingli Zhang Saima Rathore P. Sargos Christian Desrosiers T. Niazi 41 22 0 09 Jun 2022
Deep Radiomic Analysis for Predicting Coronavirus Disease 2019 in Computerized Tomography and X-ray Images Ahmad Chaddad Lama Hassan Christian Desrosiers 48 24 0 04 Jun 2022
Modeling of Textures to Predict Immune Cell Status and Survival of Brain Tumour Patients Ahmad Chaddad Mingli Zhang Lama Hassan T. Niazi AI4CE 34 2 0 04 Jun 2022
Explainable Misinformation Detection Across Multiple Social Media Platforms Gargi Joshi Ananya Srivastava Bhargav D. Yagnik Md Musleh Uddin Hasan Zainuddin Saiyed Lubna A Gabralla Ajith Abraham Rahee Walambe K. Kotecha 63 17 0 20 Mar 2022
Evaluation of Interpretability for Deep Learning algorithms in EEG Emotion Recognition: A case study in Autism J. M. M. Torres Sara E. Medina-DeVilliers T. Clarkson M. Lerner Giuseppe Riccardi 42 35 0 25 Nov 2021
Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence Xiang Bai Hanchen Wang Liya Ma Yongchao Xu Jiefeng Gan ... C. Zheng Jianming Wang Zhen Li Carola-Bibiane Schönlieb Tian Xia FedML 56 64 0 18 Nov 2021
Federated Contrastive Learning for Decentralized Unlabeled Medical Images Nanqing Dong Irina Voiculescu FedML 49 62 0 15 Sep 2021
FedKD: Communication Efficient Federated Learning via Knowledge Distillation Chuhan Wu Fangzhao Wu Lingjuan Lyu Yongfeng Huang Xing Xie FedML 70 387 0 30 Aug 2021
Targeting Underrepresented Populations in Precision Medicine: A Federated Transfer Learning Approach Sai Li Tianxi Cai R. Duan 61 49 0 27 Aug 2021
Federated Multi-Task Learning under a Mixture of Distributions Othmane Marfoq Giovanni Neglia A. Bellet Laetitia Kameni Richard Vidal FedML 97 278 0 23 Aug 2021
Levels of explainable artificial intelligence for human-aligned conversational explanations Richard Dazeley Peter Vamplew Cameron Foale Charlotte Young Sunil Aryal F. Cruz 42 90 0 07 Jul 2021
Federated Learning for Multi-Center Imaging Diagnostics: A Study in Cardiovascular Disease Akis Linardos Kaisar Kushibar S. Walsh P. Gkontra Karim Lekadir FedML 60 66 0 07 Jul 2021
Memory-aware curriculum federated learning for breast cancer classification Amelia Jiménez-Sánchez Mickael Tardy M. A. G. Ballester Diana Mateus Gemma Piella OOD 53 91 0 06 Jul 2021
Deep Subdomain Adaptation Network for Image Classification Yongchun Zhu Fuzhen Zhuang Jindong Wang Guolin Ke Jingwu Chen Jiang Bian Hui Xiong Qing He 74 777 0 17 Jun 2021
Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning Liangqiong Qu Yuyin Zhou Paul Pu Liang Yingda Xia Feifei Wang Ehsan Adeli L. Fei-Fei D. Rubin FedML AI4CE 47 180 0 10 Jun 2021
Designing ECG Monitoring Healthcare System with Federated Transfer Learning and Explainable AI Ali Raza K. Tran L. Koehl Shujun Li 51 132 0 26 May 2021
Source-Free Domain Adaptation for Semantic Segmentation Yuang Liu Wei Zhang Jun Wang 45 253 0 30 Mar 2021
Multi-institutional Collaborations for Improving Deep Learning-based Magnetic Resonance Image Reconstruction Using Federated Learning Pengfei Guo Puyang Wang Jinyuan Zhou Shanshan Jiang Vishal M. Patel FedML OOD 68 145 0 03 Mar 2021
Domain Adaptation for Medical Image Analysis: A Survey Hao Guan Mingxia Liu OOD 109 546 0 18 Feb 2021
Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond Guang Yang Qinghao Ye Jun Xia 110 496 0 03 Feb 2021
Transfer Learning in Magnetic Resonance Brain Imaging: a Systematic Review Juan Miguel Valverde Vandad Imani A. Abdollahzadeh Riccardo De Feo M. Prakash Robert Ciszek Jussi Tohka OOD 49 95 0 02 Feb 2021
Deep Symmetric Adaptation Network for Cross-modality Medical Image Segmentation Xiao Han Lei Qi Qian Yu Ziqi Zhou Yefeng Zheng Yinghuan Shi Yang Gao OOD MedIm 97 78 0 18 Jan 2021
Deep Visual Domain Adaptation G. Csurka OOD 185 185 0 28 Dec 2020
Distant Domain Transfer Learning for Medical Imaging Shuteng Niu Meryl Liu Yongxin Liu Jian Wang Haoze Song OOD 65 70 0 10 Dec 2020
COVID-FACT: A Fully-Automated Capsule Network-based Framework for Identification of COVID-19 Cases from Chest CT scans Shahin Heidarian Parnian Afshar Nastaran Enshaei F. Naderkhani A. Oikonomou ... Faranak Babaki Fard K. Samimi Konstantinos N. Plataniotis Arash Mohammadi M. Rafiee MedIm 30 77 0 30 Oct 2020
Semantics of the Black-Box: Can knowledge graphs help make deep learning systems more interpretable and explainable? Manas Gaur Keyur Faldu A. Sheth 74 113 0 16 Oct 2020
Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series Kristoffer Wickstrøm Karl Øyvind Mikalsen Michael C. Kampffmeyer A. Revhaug Robert Jenssen AI4TS 51 34 0 16 Oct 2020
A Brief Review of Domain Adaptation Abolfazl Farahani Sahar Voghoei Khaled Rasheed H. Arabnia OOD 47 539 0 07 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 103 463 0 22 Sep 2020
Federated Learning for Computational Pathology on Gigapixel Whole Slide Images Ming Y. Lu Dehan Kong Jana Lipkova Richard J. Chen Rajendra Singh Drew F. K. Williamson Tiffany Y. Chen Faisal Mahmood FedML MedIm 97 173 0 21 Sep 2020
Federated Learning for Breast Density Classification: A Real-World Implementation H. Roth Ken Chang Praveer Singh N. Neumark Wenqi Li ... I. Dayan R. Naidu Mona G. Flores D. Rubin Jayashree Kalpathy-Cramer OOD FedML AI4CE 53 164 0 03 Sep 2020
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation Sicheng Zhao Xiangyu Yue Shanghang Zhang Yue Liu Han Zhao ... Ravi Krishna Joseph E. Gonzalez Alberto L. Sangiovanni-Vincentelli Sanjit A. Seshia Kurt Keutzer 78 28 0 01 Sep 2020
Privacy-Preserving Asynchronous Federated Learning Algorithms for Multi-Party Vertically Collaborative Learning Bin Gu An Xu Zhouyuan Huo Cheng Deng Heng-Chiao Huang FedML 75 28 0 14 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 37 192 0 01 Aug 2020
Learning to Combine: Knowledge Aggregation for Multi-Source Domain Adaptation Hang Wang Minghao Xu Bingbing Ni Wenjun Zhang 78 110 0 17 Jul 2020
Blockchain-Federated-Learning and Deep Learning Models for COVID-19 detection using CT Imaging R. Kumar A. Khan Sinmin Zhang Jay Kumar Wenyong Wang Yousif Abuidris Zakria Waqas Amin Sidra Shafiq WenYong Wang OOD FedML 67 326 0 10 Jul 2020
Domain Adaptation without Source Data Youngeun Kim Donghyeon Cho Kyeongtak Han Priyadarshini Panda Sungeun Hong TTA 91 176 0 03 Jul 2020
Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-weighting Dongnan Liu Donghao Zhang Yang Song Fan Zhang L. O’Donnell Heng-Chiao Huang Mei Chen Weidong (Tom) Cai 83 76 0 05 May 2020
COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19 Yifan Zhang Shuaicheng Niu Zhen Qiu Ying Wei P. Zhao Jianhua Yao Junzhou Huang Qingyao Wu Mingkui Tan OOD 50 70 0 30 Apr 2020
Universal Source-Free Domain Adaptation Jogendra Nath Kundu Naveen Venkat V. RahulM. R. Venkatesh Babu VLM TTA 61 342 0 09 Apr 2020
Survey of Personalization Techniques for Federated Learning V. Kulkarni Milind Kulkarni Aniruddha Pant FedML 218 329 0 19 Mar 2020
Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation Myeongjin Kim H. Byun OOD 62 278 0 02 Mar 2020
Multi-source Domain Adaptation in the Deep Learning Era: A Systematic Survey Sicheng Zhao Yue Liu Colorado Reed Pengfei Xu Kurt Keutzer 52 105 0 26 Feb 2020
Personalized Federated Learning: A Meta-Learning Approach Alireza Fallah Aryan Mokhtari Asuman Ozdaglar FedML 152 567 0 19 Feb 2020
Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation Cheng Chen Qi Dou Hao Chen J. Qin Pheng Ann Heng 106 314 0 06 Feb 2020
CHAOS Challenge -- Combined (CT-MR) Healthy Abdominal Organ Segmentation A. Emre Kavur N. Gezer M. Baris Sinem Aslan Pierre-Henri Conze ... Klaus H. Maier-Hein G. Akar Gözde B. Ünal O. Dicle M. Alper Selver 80 620 0 17 Jan 2020
GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks Q. Huang M. Yamada Yuan Tian Dinesh Singh Dawei Yin Yi-Ju Chang FAtt 72 352 0 17 Jan 2020
Multi-site fMRI Analysis Using Privacy-preserving Federated Learning and Domain Adaptation: ABIDE Results Xiaoxiao Li Yufeng Gu Nicha Dvornek Lawrence H. Staib P. Ventola James S. Duncan FedML OOD 67 352 0 16 Jan 2020
Pruning by Explaining: A Novel Criterion for Deep Neural Network Pruning Seul-Ki Yeom P. Seegerer Sebastian Lapuschkin Alexander Binder Simon Wiedemann K. Müller Wojciech Samek CVBM 50 207 0 18 Dec 2019