Title
Contrastive Learning of Medical Visual Representations from Paired Images and Text Yuhao Zhang Hang Jiang Yasuhide Miura Christopher D. Manning C. Langlotz MedIm 163 772 0 02 Oct 2020
Self-Guided Multiple Instance Learning for Weakly Supervised Disease Classification and Localization in Chest Radiographs C. Seibold Jens Kleesiek H. Schlemmer Rainer Stiefelhagen SSL 46 6 0 30 Sep 2020
GraphXCOVID: Explainable Deep Graph Diffusion Pseudo-Labelling for Identifying COVID-19 on Chest X-rays Angelica I Aviles-Rivero P. Sellars Carola-Bibiane Schönlieb Nicolas Papadakis DiffM MedIm SSL 76 30 0 30 Sep 2020
Learn like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification Jerry W. Wei A. Suriawinata Bing Ren Xiaoying Liu Mikhail Lisovsky ... Mustafa Nasir-Moin Naofumi Tomita Lorenzo Torresani Jason W. Wei Saeed Hassanpour 105 49 0 29 Sep 2020
Potential Features of ICU Admission in X-ray Images of COVID-19 Patients D. Gomes Anwaar Ulhaq M. Paul M. J. Horry Subrata Chakraborty M. Saha Tanmoy Debnath D. M. Motiur 61 9 0 26 Sep 2020
A Computer Vision Approach to Combat Lyme Disease Sina Akbarian Tania Cawston Laurent Moreno Samir B. Patel Vanessa Allen Elham Dolatabadi 15 2 0 24 Sep 2020
Deep Learning Applied to Chest X-Rays: Exploiting and Preventing Shortcuts Sarah Jabbour David Fouhey Ella Kazerooni Michael Sjoding Jenna Wiens OOD 66 49 0 21 Sep 2020
Creation and Validation of a Chest X-Ray Dataset with Eye-tracking and Report Dictation for AI Development Alexandros Karargyris Satyananda Kashyap Ismini Lourentzou Joy T. Wu Arjun Sharma ... Shafiq Abedin David Beymer Vandana V. Mukherjee E. Krupinski Mehdi Moradi MedIm 68 102 0 15 Sep 2020
Interpretation of smartphone-captured radiographs utilizing a deep learning-based approach Hung Le Phuong Nguyen T. Nguyen K. Le Thanh-Thien Nguyen MedIm 17 2 0 13 Sep 2020
Deep Hiearchical Multi-Label Classification Applied to Chest X-Ray Abnormality Taxonomies Haomin Chen S. Miao Daguang Xu Gregory Hager Adam P. Harrison 67 29 0 11 Sep 2020
Quantifying Explainability of Saliency Methods in Deep Neural Networks with a Synthetic Dataset Erico Tjoa Cuntai Guan XAI FAtt 103 27 0 07 Sep 2020
A Comparison of Pre-trained Vision-and-Language Models for Multimodal Representation Learning across Medical Images and Reports Yikuan Li Hanyin Wang Yuan Luo 70 66 0 03 Sep 2020
Evaluating Knowledge Transfer in Neural Network for Medical Images Sina Akbarian Laleh Seyyed-Kalantari Farzad Khalvati Elham Dolatabadi 91 16 0 31 Aug 2020
What is being transferred in transfer learning? Behnam Neyshabur Hanie Sedghi Chiyuan Zhang 141 530 0 26 Aug 2020
On the Composition and Limitations of Publicly Available COVID-19 X-Ray Imaging Datasets Beatriz Garcia Santa Cruz J. Sölter M. Bossa A. Husch OOD 91 11 0 26 Aug 2020
Ethical behavior in humans and machines -- Evaluating training data quality for beneficial machine learning Thilo Hagendorff 30 28 0 26 Aug 2020
Emergent symbolic language based deep medical image classification Aritra Chowdhury Alberto Santamaria-Pang James R. Kubricht Peter Tu MedIm 50 11 0 22 Aug 2020
A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability Yi Zhou Boyang Wang Lei Huang Shanshan Cui Ling Shao 68 148 0 22 Aug 2020
Correcting Data Imbalance for Semi-Supervised Covid-19 Detection Using X-ray Chest Images Saul Calderon-Ramirez Shengxiang-Yang Armaghan Moemeni David Elizondo Simon Colreavy-Donnelly Luis Fernando Chavarria-Estrada Miguel A. Molina-Cabello 76 45 0 19 Aug 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 92 774 0 14 Aug 2020
A Review on Deep Learning Techniques for the Diagnosis of Novel Coronavirus (COVID-19) Md. Milon Islam Fakhri Karray R. Alhajj Jia Zeng 91 217 0 09 Aug 2020
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications Jihong Park S. Samarakoon Anis Elgabli Joongheon Kim M. Bennis Seong-Lyun Kim Mérouane Debbah 102 164 0 06 Aug 2020
High performance on-demand de-identification of a petabyte-scale medical imaging data lake Joseph Mesterhazy Garrick Olson Somalee Datta 36 4 0 04 Aug 2020
Learning Invariant Feature Representation to Improve Generalization across Chest X-ray Datasets S. Ghimire Satyananda Kashyap Joy T. Wu Alexandros Karargyris Mehdi Moradi OOD 44 8 0 04 Aug 2020
Classification of Multiple Diseases on Body CT Scans using Weakly Supervised Deep Learning F. I. Tushar Vincent M. DÁnniballe Rui Hou Maciej A. Mazurowski Wanyi Fu Ehsan Samei Geoffrey D. Rubin J. Lo OOD 64 19 0 03 Aug 2020
Multi-Task Driven Explainable Diagnosis of COVID-19 using Chest X-ray Images Aakarsh Malhotra S. Mittal P. Majumdar S. Chhabra K. Thakral Mayank Vatsa Richa Singh S. Chaudhury Ashwin Pudrod A. Agrawal 51 60 0 03 Aug 2020
A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises S. Kevin Zhou H. Greenspan Christos Davatzikos James S. Duncan Bram van Ginneken A. Madabhushi Jerry L. Prince Daniel Rueckert Ronald M. Summers 212 649 0 02 Aug 2020
Paying Per-label Attention for Multi-label Extraction from Radiology Reports Patrick Schrempf Hannah I. Watson Shadia S. Mikhael Maciej Pajak Matús Falis Aneta Lisowska K. Muir David Harris-Birtill Alison Q. OÑeil 38 8 0 31 Jul 2020
Weakly supervised one-stage vision and language disease detection using large scale pneumonia and pneumothorax studies Leo K. Tam Xiaosong Wang E. Turkbey Kevin Lu Yuhong Wen Daguang Xu 69 14 0 31 Jul 2020
Searching for Pneumothorax in Half a Million Chest X-Ray Images Antonio Sze-To Hamid Tizhoosh 18 2 0 30 Jul 2020
CovMUNET: A Multiple Loss Approach towards Detection of COVID-19 from Chest X-ray A. Sayyed Dipayan Saha Abdul Rakib Hossain 30 8 0 28 Jul 2020
DeScarGAN: Disease-Specific Anomaly Detection with Weak Supervision J. Wolleb Robin Sandkühler Philippe C. Cattin 563 22 0 28 Jul 2020
Multi-label Thoracic Disease Image Classification with Cross-Attention Networks Congbo Ma Hu Wang Guosheng Lin 68 57 0 21 Jul 2020
Deep Learning Based Brain Tumor Segmentation: A Survey Zhihua Liu Lei Tong Zheheng Jiang Long Chen Feixiang Zhou Qianni Zhang Xiangrong Zhang Ling Li Huiyu Zhou 3DV 101 237 0 18 Jul 2020
Learning Visual Context by Comparison Minchul Kim Jongchan Park Seil Na C. Park Donggeun Yoo 43 11 0 15 Jul 2020
Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs By Comparing Image Representations Hong-Yu Zhou Shuang Yu Cheng Bian Yifan Hu Kai Ma Yefeng Zheng SSL MedIm 73 107 0 15 Jul 2020
Domain aware medical image classifier interpretation by counterfactual impact analysis Dimitrios Lenis David Major M. Wimmer Astrid Berg Gert Sluiter Katja Bühler OOD MedIm 63 27 0 13 Jul 2020
CheXphoto: 10,000+ Photos and Transformations of Chest X-rays for Benchmarking Deep Learning Robustness Nick A. Phillips Pranav Rajpurkar Mark Sabini R. Krishnan Sharon Zhou ... Mudit Jain Nguyen Duong Du Steven QH Truong A. Ng M. Lungren MedIm 72 13 0 13 Jul 2020
Generalization of Deep Convolutional Neural Networks -- A Case-study on Open-source Chest Radiographs Nazanin Mashhaditafreshi Amara Tariq J. Gichoya Imon Banerjee OOD AI4CE 21 1 0 11 Jul 2020
EMIXER: End-to-end Multimodal X-ray Generation via Self-supervision Siddharth Biswal Peiye Zhuang A. Pyrros Nasir Siddiqui Oluwasanmi Koyejo Jimeng Sun MedIm 71 5 0 10 Jul 2020
DECAPS: Detail-Oriented Capsule Networks Aryan Mobiny Pengyu Yuan P. Cicalese H. Nguyen 3DPC 54 10 0 09 Jul 2020
Quantifying and Leveraging Predictive Uncertainty for Medical Image Assessment Florin-Cristian Ghesu Bogdan Georgescu Awais Mansoor Y. Yoo Eli Gibson ... Ramandeep Singh S. Digumarthy Mannudeep K. Kalra Sasa Grbic Dorin Comaniciu UQCV EDL 63 55 0 08 Jul 2020
Anatomy-Aware Siamese Network: Exploiting Semantic Asymmetry for Accurate Pelvic Fracture Detection in X-ray Images Haomin Chen Yirui Wang K. Zheng Weijian Li Chi-Tung Cheng ... Jing Xiao Gregory Hager Le Lu Chien-Hung Liao S. Miao MedIm 42 33 0 03 Jul 2020
CheXpert++: Approximating the CheXpert labeler for Speed,Differentiability, and Probabilistic Output Matthew B. A. McDermott T. Hsu W. Weng Marzyeh Ghassemi U. Toronto 91 32 0 26 Jun 2020
Lessons Learned from Designing an AI-Enabled Diagnosis Tool for Pathologists H. Gu Jingbin Huang Lauren Hung Xiang Ánthony' Chen 104 51 0 23 Jun 2020
COVID-19 Image Data Collection: Prospective Predictions Are the Future Joseph Paul Cohen Paul Morrison Lan Dao Karsten Roth T. Duong Marzyeh Ghassemi 88 780 0 22 Jun 2020
Capturing Label Characteristics in VAEs Thomas Joy Sebastian M. Schmon Philip Torr N. Siddharth Tom Rainforth CML DRL 95 47 0 17 Jun 2020
Domain Generalization using Causal Matching Divyat Mahajan Shruti Tople Amit Sharma OOD 96 338 0 12 Jun 2020
RTEX: A novel methodology for Ranking, Tagging, and Explanatory diagnostic captioning of radiography exams Vasiliki Kougia John Pavlopoulos P. Papapetrou Max Gordon 39 0 0 11 Jun 2020
COVID-19-CT-CXR: a freely accessible and weakly labeled chest X-ray and CT image collection on COVID-19 from biomedical literature Yifan Peng Yuxing Tang Sungwon Lee Yingying Zhu Ronald M. Summers Zhiyong Lu OOD 65 16 0 11 Jun 2020