Title
Cross-Domain Transferability of Adversarial Perturbations Muzammal Naseer Salman H. Khan M. H. Khan Fahad Shahbaz Khan Fatih Porikli AAML 33 145 0 28 May 2019
Contrast Enhancement of Medical X-Ray Image Using Morphological Operators with Optimal Structuring Element Rafsanjany Kushol Md. Nishat Raihan Md Sirajus Salekin A. A. Ashikur Rahman 11 16 0 21 May 2019
Learning Interpretable Features via Adversarially Robust Optimization Ashkan Khakzar Shadi Albarqouni Nassir Navab MedIm FAtt 9 14 0 09 May 2019
Uncovering convolutional neural network decisions for diagnosing multiple sclerosis on conventional MRI using layer-wise relevance propagation Fabian Eitel Emily Soehler J. Bellmann-Strobl A. Brandt K. Ruprecht ... M. Weygandt J. Haynes M. Scheel Friedemann Paul K. Ritter 27 131 0 18 Apr 2019
Deep Cytometry: Deep learning with Real-time Inference in Cell Sorting and Flow Cytometry Yueqin Li A. Mahjoubfar C. Chen K. Niazi Li Pei Bahram Jalali 12 81 0 09 Apr 2019
Assessment of Faster R-CNN in Man-Machine collaborative search Arturo Deza A. Surana Miguel P. Eckstein OOD 18 7 0 04 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 33 271 0 04 Apr 2019
ImageGCN: Multi-Relational Image Graph Convolutional Networks for Disease Identification with Chest X-rays Chengsheng Mao Liang Yao Yuan Luo MedIm GNN 39 56 0 31 Mar 2019
The Algorithmic Automation Problem: Prediction, Triage, and Human Effort M. Raghu Katy Blumer G. Corrado Jon M. Kleinberg Ziad Obermeyer S. Mullainathan 21 138 0 28 Mar 2019
InfoMask: Masked Variational Latent Representation to Localize Chest Disease Saeid Asgari Taghanaki Mohammad Havaei T. Berthier Francis Dutil Lisa Di-Jorio Ghassan Hamarneh Yoshua Bengio 17 42 0 28 Mar 2019
Attention Based Glaucoma Detection: A Large-scale Database and CNN Model Liu Li Mai Xu Xiaofei Wang Lai Jiang Hanruo Liu 23 202 0 26 Mar 2019
Semi-supervised Learning for Quantification of Pulmonary Edema in Chest X-Ray Images Ruizhi Liao Jonathan Rubin Grace Y. Lam Seth Berkowitz Sandeep Dalal W. Wells Steven Horng Polina Golland 24 13 0 27 Feb 2019
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions F. Altaf Syed Mohammed Shamsul Islam Naveed Akhtar N. Janjua OOD 29 200 0 15 Feb 2019
Chester: A Web Delivered Locally Computed Chest X-Ray Disease Prediction System Joseph Paul Cohen Paul Bertin Vincent Frappier OOD MedIm 37 68 0 31 Jan 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 19 603 0 22 Jan 2019
Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology Bastian Alexander Rieck Matteo Togninalli Christian Bock Michael Moor Max Horn Thomas Gumbsch Karsten M. Borgwardt 36 111 0 23 Dec 2018
Pathology Extraction from Chest X-Ray Radiology Reports: A Performance Study MD Tahsin Mostafiz Khalid Ashraf 28 6 0 06 Dec 2018
XNet: A convolutional neural network (CNN) implementation for medical X-Ray image segmentation suitable for small datasets Joseph Aylett-Bullock C. Cuesta-Lázaro Arnau Quera-Bofarull 27 101 0 03 Dec 2018
Unsupervised Multimodal Representation Learning across Medical Images and Reports T. Hsu W. Weng Willie Boag Matthew B. A. McDermott Peter Szolovits SSL 25 35 0 21 Nov 2018
Injecting and removing malignant features in mammography with CycleGAN: Investigation of an automated adversarial attack using neural networks Anton S. Becker Lukás Jendele Ondrej Skopek N. Berger Soleen Ghafoor M. Marcon E. Konukoglu MedIm 12 4 0 19 Nov 2018
Deep Learning for Automated Classification of Tuberculosis-Related Chest X-Ray: Dataset Specificity Limits Diagnostic Performance Generalizability S. Sathitratanacheewin K. Pongpirul 18 10 0 13 Nov 2018
Deep Learning Predicts Hip Fracture using Confounding Patient and Healthcare Variables Giovanni Sutanto J. Zech Luke Oakden-Rayner Yevgen Chebotar Manway Liu William Gale M. McConnell Ankur Handa Thomas M. Snyder Dieter Fox AI4CE OOD 39 241 0 08 Nov 2018
SDFN: Segmentation-based Deep Fusion Network for Thoracic Disease Classification in Chest X-ray Images Han Liu Lei Wang Y. Nan F. Jin Qi Wang J. Pu 104 94 0 30 Oct 2018
A Volumetric Convolutional Neural Network for Brain Tumor Segmentation Ryan Sherman 24 4 0 27 Oct 2018
Diagnostic Accuracy of Content Based Dermatoscopic Image Retrieval with Deep Classification Features P. Tschandl G. Argenziano M. Razmara J. Yap 27 69 0 22 Oct 2018
Deep Learning Nicholas G. Polson Vadim Sokolov AI4CE BDL 25 1 0 20 Jul 2018
Attention-Guided Curriculum Learning for Weakly Supervised Classification and Localization of Thoracic Diseases on Chest Radiographs Yuxing Tang Xiaosong Wang Adam P. Harrison Le Lu Jing Xiao Ronald M. Summers 14 153 0 19 Jul 2018
Can Artificial Intelligence Reliably Report Chest X-Rays?: Radiologist Validation of an Algorithm trained on 2.3 Million X-Rays Preetham Putha M. Tadepalli B. Reddy T. Raj Justy Antony Chiramal ... KS Manjunath Sundeep Reddivari Ammar Jagirdar Pooja Rao Prashant Warier MedIm 11 25 0 19 Jul 2018
Chest X-rays Classification: A Multi-Label and Fine-Grained Problem Z. Ge Dwarikanath Mahapatra S. Sedai R. Garnavi R. Chakravorty 25 50 0 19 Jul 2018
Weakly Supervised Deep Learning for Thoracic Disease Classification and Localization on Chest X-rays Chaochao Yan Jiawen Yao Ruoyu Li Zheng Xu Junzhou Huang 22 118 0 16 Jul 2018
ChestNet: A Deep Neural Network for Classification of Thoracic Diseases on Chest Radiography Hongyu Wang Yong-quan Xia 26 106 0 09 Jul 2018
Vulnerability Analysis of Chest X-Ray Image Classification Against Adversarial Attacks Saeid Asgari Taghanaki A. Das Ghassan Hamarneh MedIm 35 52 0 09 Jul 2018
Direct Uncertainty Prediction for Medical Second Opinions M. Raghu Katy Blumer Rory Sayres Ziad Obermeyer Robert D. Kleinberg S. Mullainathan Jon M. Kleinberg OOD UD 27 136 0 04 Jul 2018
Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays Jinzheng Cai Le Lu Adam P. Harrison Xiaoshuang Shi Pingjun Chen L. Yang 25 54 0 03 Jul 2018
DeepMiner: Discovering Interpretable Representations for Mammogram Classification and Explanation Jimmy Wu Bolei Zhou D. Peck S. Hsieh V. Dialani Lester W. Mackey Genevieve Patterson FAtt MedIm 20 24 0 31 May 2018
A Performance Evaluation of Convolutional Neural Networks for Face Anti Spoofing Chaitanya Nagpal S. Dubey CVBM 21 88 0 08 May 2018
Dual CNN Models for Unsupervised Monocular Depth Estimation Vamshi Krishna Repala S. Dubey MDE 35 37 0 16 Apr 2018
Adversarial Attacks Against Medical Deep Learning Systems S. G. Finlayson Hyung Won Chung I. Kohane Andrew L. Beam SILM AAML OOD MedIm 22 230 0 15 Apr 2018
Weakly Supervised Medical Diagnosis and Localization from Multiple Resolutions L. Yao Jordan Prosky Eric Poblenz Ben Covington Kevin Lyman 26 120 0 21 Mar 2018
Development and Validation of Deep Learning Algorithms for Detection of Critical Findings in Head CT Scans Sasank Chilamkurthy Rohit Ghosh Swetha Tanamala Mustafa Biviji N. Campeau V. Venugopal V. Mahajan Pooja Rao Prashant Warier 13 103 0 13 Mar 2018
Using Convolutional Neural Networks for Determining Reticulocyte Percentage in Cats Krunoslav Vinicki Pierluigi Ferrari M. Belic R. Turk 15 19 0 13 Mar 2018
Chest X-Ray Analysis of Tuberculosis by Deep Learning with Segmentation and Augmentation S. Stirenko Yuriy Kochura Oleg Alienin Oleksandr Rokovyi Peng Gang Wei Zeng Yuri G. Gordienko 32 115 0 03 Mar 2018
Multitask learning and benchmarking with clinical time series data Hrayr Harutyunyan Hrant Khachatrian David C. Kale Greg Ver Steeg Aram Galstyan OOD AI4TS 53 857 0 22 Mar 2017