Title
Deep learning with noisy labels: exploring techniques and remedies in medical image analysis Davood Karimi Haoran Dou Simon K. Warfield Ali Gholipour NoLa 114 548 0 05 Dec 2019
Artificial Intelligence in Glioma Imaging: Challenges and Advances Weina Jin M. Fatehi Kumar Abhishek Mayur Mallya B. Toyota Ghassan Hamarneh 79 42 0 28 Nov 2019
Reinventing 2D Convolutions for 3D Images Jiancheng Yang Xiaoyang Huang Yi He Jingwei Xu Canqian Yang Guozheng Xu Bingbing Ni 98 11 0 24 Nov 2019
Interpreting chest X-rays via CNNs that exploit hierarchical disease dependencies and uncertainty labels Hieu H. Pham T. Le Dat Q. Tran Dat Ngo H. Nguyen 107 32 0 15 Nov 2019
Deep learning for cardiac image segmentation: A review Chen Chen C. Qin Huaqi Qiu G. Tarroni Jinming Duan Wenjia Bai Daniel Rueckert SSeg 3DV 136 688 0 09 Nov 2019
Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports Yuhao Zhang Derek Merck E. Tsai Christopher D. Manning C. Langlotz MedIm HILM 102 186 0 06 Nov 2019
Explanation by Progressive Exaggeration Sumedha Singla Brian Pollack Junxiang Chen Kayhan Batmanghelich FAtt MedIm 130 103 0 01 Nov 2019
Improve Model Generalization and Robustness to Dataset Bias with Bias-regularized Learning and Domain-guided Augmentation Yundong Zhang Hang Wu Huiye Liu L. Tong May D. Wang OOD 32 10 0 12 Oct 2019
Deep neural networks for automated classification of colorectal polyps on histopathology slides: A multi-institutional evaluation Jason W. Wei A. Suriawinata L. Vaickus Bing Ren Xiaoying Liu ... Adam S. Kim D. Snover J. Baron Elizabeth L. Barry Saeed Hassanpour MedIm 15 1 0 27 Sep 2019
Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical Imaging Luke Oakden-Rayner Jared A. Dunnmon G. Carneiro Christopher Ré OOD 86 385 0 27 Sep 2019
Model-Based and Data-Driven Strategies in Medical Image Computing Daniel Rueckert Julia A. Schnabel OOD MedIm AI4CE 62 50 0 23 Sep 2019
Learn to Estimate Labels Uncertainty for Quality Assurance Agnieszka Tomczack Nassir Navab Shadi Albarqouni OOD UQCV BDL 33 6 0 17 Sep 2019
CT Data Curation for Liver Patients: Phase Recognition in Dynamic Contrast-Enhanced CT Bo Zhou Adam P. Harrison Jiawen Yao Chi-Tung Cheng Jing Xiao Chien-Hung Liao Le Lu 54 11 0 05 Sep 2019
Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification E. Pooch P. Ballester Rodrigo C. Barros OOD 107 124 0 03 Sep 2019
Learning to Transfer Learn: Reinforcement Learning-Based Selection for Adaptive Transfer Learning Linchao Zhu Sercan O. Arik Yezhou Yang Tomas Pfister 76 5 0 29 Aug 2019
Semi-Supervised Learning by Disentangling and Self-Ensembling Over Stochastic Latent Space P. Gyawali Zhiyuan Li S. Ghimire Linwei Wang 66 20 0 22 Jul 2019
Automatic Radiology Report Generation based on Multi-view Image Fusion and Medical Concept Enrichment Jianbo Yuan Haofu Liao R. Luo Jiebo Luo MedIm 88 194 0 22 Jul 2019
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI Erico Tjoa Cuntai Guan XAI 158 1,463 0 17 Jul 2019
Improving Prognostic Performance in Resectable Pancreatic Ductal Adenocarcinoma using Radiomics and Deep Learning Features Fusion in CT Images Yucheng Zhang Edrise M. Lobo-Mueller P. Karanicolas S. Gallinger M. Haider Farzad Khalvati MedIm 42 44 0 10 Jul 2019
Prognostic Value of Transfer Learning Based Features in Resectable Pancreatic Ductal Adenocarcinoma Yucheng Zhang Edrise M. Lobo-Mueller P. Karanicolas S. Gallinger M. Haider Farzad Khalvati MedIm 94 10 0 23 May 2019
Multi-task Learning for Chest X-ray Abnormality Classification on Noisy Labels Sebastian Gündel Florin-Cristian Ghesu Sasa Grbic Eli Gibson Bogdan Georgescu Andreas Maier Dorin Comaniciu 67 25 0 15 May 2019
Caveats in Generating Medical Imaging Labels from Radiology Reports Tobi Olatunji L. Yao Ben Covington Alexander Rhodes Anthony Upton MedIm 37 18 0 06 May 2019
Do Lateral Views Help Automated Chest X-ray Predictions? H. Bertrand Mohammad Hashir Joseph Paul Cohen MedIm 59 16 0 17 Apr 2019
Clinically Accurate Chest X-Ray Report Generation Guanxiong Liu T. Hsu Matthew B. A. McDermott Willie Boag W. Weng Peter Szolovits Marzyeh Ghassemi MedIm 121 278 0 04 Apr 2019
A Strong Baseline for Domain Adaptation and Generalization in Medical Imaging L. Yao Jordan Prosky Ben Covington Kevin Lyman OOD LM&MA MedIm AI4CE 61 39 0 02 Apr 2019
ImageGCN: Multi-Relational Image Graph Convolutional Networks for Disease Identification with Chest X-rays Chengsheng Mao Liang Yao Yuan Luo MedIm GNN 88 59 0 31 Mar 2019
Cross-Modal Data Programming Enables Rapid Medical Machine Learning Jared A. Dunnmon Alexander Ratner Nishith Khandwala Khaled Kamal Saab Matthew Markert ... R. Goldman Christopher Lee-Messer M. Lungren D. Rubin Christopher Ré MedIm 84 73 0 26 Mar 2019
Transfusion: Understanding Transfer Learning for Medical Imaging M. Raghu Chiyuan Zhang Jon M. Kleinberg Samy Bengio MedIm 92 987 0 14 Feb 2019
PadChest: A large chest x-ray image dataset with multi-label annotated reports A. Bustos A. Pertusa J. M. Salinas M. Iglesia-Vayá LM&MA 93 621 0 22 Jan 2019
MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs Alistair E. W. Johnson Tom Pollard Nathaniel R. Greenbaum M. Lungren Chih-ying Deng Yifan Peng Zhiyong Lu R. Mark Seth Berkowitz Steven Horng MedIm 115 822 0 21 Jan 2019
Generative Adversarial Network in Medical Imaging: A Review Xin Yi Ekta Walia P. Babyn GAN MedIm 137 1,402 0 19 Sep 2018