Title
Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning Fuying Wang Yuyin Zhou Shujun Wang V. Vardhanabhuti Lequan Yu 31 137 0 12 Oct 2022
Self-supervised Model Based on Masked Autoencoders Advance CT Scans Classification Jiashu Xu S. Stirenko 42 2 0 11 Oct 2022
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings Jean Ogier du Terrail Samy Ayed Edwige Cyffers Felix Grimberg Chaoyang He ... Sai Praneeth Karimireddy Marco Lorenzi Giovanni Neglia Marc Tommasi M. Andreux FedML 47 142 0 10 Oct 2022
Uncertainty estimations methods for a deep learning model to aid in clinical decision-making -- a clinician's perspective M. Dohopolski Kai Wang Biling Wang T. Bai D. Nguyen David Sher Steve B. Jiang Jing Wang OOD 13 5 0 02 Oct 2022
Did You Get What You Paid For? Rethinking Annotation Cost of Deep Learning Based Computer Aided Detection in Chest Radiographs Tae Soo Kim Geonwoon Jang Sanghyup Lee Thijs Kooi 27 7 0 30 Sep 2022
Fairness and robustness in anti-causal prediction Maggie Makar Alexander DÁmour OOD 36 10 0 20 Sep 2022
Risk of Bias in Chest Radiography Deep Learning Foundation Models Ben Glocker Charles Jones Mélanie Roschewitz S. Winzeck 26 35 0 07 Sep 2022
Robustness of an Artificial Intelligence Solution for Diagnosis of Normal Chest X-Rays T. Dyer Jordan Smith G. Dissez N. Tay Q. Malik T. N. Morgan P. Williams Liliana Garcia-Mondragon George Pearse S. Rasalingham OOD 19 2 0 31 Aug 2022
Efficient ML Models for Practical Secure Inference Vinod Ganesan Anwesh Bhattacharya Pratyush Kumar Divya Gupta Rahul Sharma Nishanth Chandran MedIm 59 5 0 26 Aug 2022
RadTex: Learning Efficient Radiograph Representations from Text Reports Keegan Quigley Miriam Cha Ruizhi Liao Geeticka Chauhan Steven Horng Seth Berkowitz Polina Golland MedIm 25 3 0 05 Aug 2022
Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation Rushi Jiao Yichi Zhang Leiting Ding Rong Cai Jicong Zhang 29 152 0 28 Jul 2022
Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing Methods Ricards Marcinkevics Ece Ozkan Julia E. Vogt 25 18 0 26 Jul 2022
Localization supervision of chest x-ray classifiers using label-specific eye-tracking annotation Ricardo Bigolin Lanfredi Joyce D. Schroeder Tolga Tasdizen 26 2 0 20 Jul 2022
CheXplaining in Style: Counterfactual Explanations for Chest X-rays using StyleGAN Matan Atad V. Dmytrenko Yitong Li Xinyue Zhang Matthias Keicher Jan Kirschke Bene Wiestler Ashkan Khakzar Nassir Navab MedIm 21 22 0 15 Jul 2022
Suppressing Poisoning Attacks on Federated Learning for Medical Imaging Naif Alkhunaizi Dmitry Kamzolov Martin Takávc Karthik Nandakumar OOD 26 9 0 15 Jul 2022
MedFuse: Multi-modal fusion with clinical time-series data and chest X-ray images Nasir Hayat Krzysztof J. Geras Farah E. Shamout MedIm 27 40 0 14 Jul 2022
Transfer Learning with Deep Tabular Models Roman Levin Valeriia Cherepanova Avi Schwarzschild Arpit Bansal C. Bayan Bruss Tom Goldstein A. Wilson Micah Goldblum OOD FedML LMTD 75 58 0 30 Jun 2022
Competence-based Multimodal Curriculum Learning for Medical Report Generation Fenglin Liu Shen Ge Yuexian Zou Xian Wu MedIm 25 132 0 24 Jun 2022
A Review of Published Machine Learning Natural Language Processing Applications for Protocolling Radiology Imaging Nihal Raju Michael Woodburn S. Kachel Jack O’Shaughnessy Laurence Sorace Natalie Yang Ruth P. Lim LM&MA 13 1 0 23 Jun 2022
The Importance of Background Information for Out of Distribution Generalization Jupinder Parmar Khaled Kamal Saab Brian Pogatchnik D. Rubin Christopher Ré OOD 21 0 0 17 Jun 2022
Forming Effective Human-AI Teams: Building Machine Learning Models that Complement the Capabilities of Multiple Experts Patrick Hemmer Sebastian Schellhammer Michael Vossing Johannes Jakubik G. Satzger 21 36 0 16 Jun 2022
Self-Supervision on Images and Text Reduces Reliance on Visual Shortcut Features Anil Palepu Andrew L. Beam OOD VLM 29 5 0 14 Jun 2022
Machine learning approaches for COVID-19 detection from chest X-ray imaging: A Systematic Review Harold Brayan Arteaga-Arteaga Melissa delaPava Alejandro Mora-Rubio Mario Alejandro Bravo-Ortíz Jesús Alejandro Alzate-Grisales ... Simon Orozco-Arias M. Hassaballah South Valley University O. Cardona-Morales Valencia OOD 16 1 0 11 Jun 2022
DORA: Exploring Outlier Representations in Deep Neural Networks Kirill Bykov Mayukh Deb Dennis Grinwald Klaus-Robert Muller Marina M.-C. Höhne 27 12 0 09 Jun 2022
Training Subset Selection for Weak Supervision Hunter Lang Aravindan Vijayaraghavan David Sontag NoLa 16 21 0 06 Jun 2022
Multi-block Min-max Bilevel Optimization with Applications in Multi-task Deep AUC Maximization Quanqi Hu Yongjian Zhong Tianbao Yang 27 16 0 01 Jun 2022
Deep Learning Fetal Ultrasound Video Model Match Human Observers in Biometric Measurements Szymon Płotka Adam Klasa Aneta Lisowska Joanna Seliga-Siwecka M. Lipa Tomasz Trzciñski Arkadiusz Sitek 32 33 0 27 May 2022
Semi-Supervised Learning for Image Classification using Compact Networks in the BioMedical Context Adrián Inés Andrés Díaz-Pinto C. Domínguez Jónathan Heras Eloy J. Mata Vico Pascual 27 1 0 19 May 2022
Breaking with Fixed Set Pathology Recognition through Report-Guided Contrastive Training C. Seibold Simon Reiß M. Sarfraz Rainer Stiefelhagen Jens Kleesiek 21 31 0 14 May 2022
Perspectives on Incorporating Expert Feedback into Model Updates Valerie Chen Umang Bhatt Hoda Heidari Adrian Weller Ameet Talwalkar 35 11 0 13 May 2022
Preservation of High Frequency Content for Deep Learning-Based Medical Image Classification Declan McIntosh T. Marques A. Albu 19 6 0 08 May 2022
Generative Adversarial Network Based Synthetic Learning and a Novel Domain Relevant Loss Term for Spine Radiographs E. Schonfeld A. Veeravagu MedIm 21 1 0 05 May 2022
Cross-modal Memory Networks for Radiology Report Generation Zhihong Chen Yaling Shen Yan Song Xiang Wan MedIm 30 248 0 28 Apr 2022
DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis F. Haghighi M. Taher Michael B. Gotway Jianming Liang MedIm 27 72 0 21 Apr 2022
CAiD: Context-Aware Instance Discrimination for Self-supervised Learning in Medical Imaging M. Taher F. Haghighi Michael B. Gotway Jianming Liang OOD SSL 15 31 0 15 Apr 2022
Multimodal spatiotemporal graph neural networks for improved prediction of 30-day all-cause hospital readmission Siyi Tang Amara Tariq Jared A. Dunnmon Umesh M Sharma Praneetha Elugunti D. Rubin Bhavik Patel Imon Banerjee 31 20 0 14 Apr 2022
Multi-View Hypercomplex Learning for Breast Cancer Screening Eleonora Lopez Eleonora Grassucci Martina Valleriani Danilo Comminiello 30 8 0 12 Apr 2022
Interpretable Saliency Maps And Self-Supervised Learning For Generalized Zero Shot Medical Image Classification Dwarikanath Mahapatra MedIm 20 2 0 04 Apr 2022
OdontoAI: A human-in-the-loop labeled data set and an online platform to boost research on dental panoramic radiographs Bernardon Silva Laís Pinheiro B. Sobrinho Fernanda Lima B. Sobrinho Kalyf Abdalla M. Pithon Patrícia Cury Luciano Oliveira 21 4 0 29 Mar 2022
AUC Maximization in the Era of Big Data and AI: A Survey Tianbao Yang Yiming Ying 44 179 0 28 Mar 2022
Benchmarking Deep AUROC Optimization: Loss Functions and Algorithmic Choices Dixian Zhu Xiaodong Wu Tianbao Yang 35 10 0 27 Mar 2022
Improving the Fairness of Chest X-ray Classifiers Haoran Zhang Natalie Dullerud Karsten Roth Lauren Oakden-Rayner Stephen R. Pfohl Marzyeh Ghassemi 23 65 0 23 Mar 2022
CNN Attention Guidance for Improved Orthopedics Radiographic Fracture Classification Zhibin Liao Kewen Liao Haifeng Shen M. F. van Boxel J. Prijs R. Jaarsma J. Doornberg Anton Van Den Hengel Johan W. Verjans 25 14 0 21 Mar 2022
AlignTransformer: Hierarchical Alignment of Visual Regions and Disease Tags for Medical Report Generation Di You Fenglin Liu Shen Ge Xiaoxia Xie Jing Zhang Xian Wu ViT MedIm 26 107 0 18 Mar 2022
Diffusion Models for Medical Anomaly Detection J. Wolleb Florentin Bieder Robin Sandkühler Philippe C. Cattin MedIm DiffM 39 262 0 08 Mar 2022
Large-scale Optimization of Partial AUC in a Range of False Positive Rates Yao Yao Qihang Lin Tianbao Yang 38 16 0 03 Mar 2022
What Makes Transfer Learning Work For Medical Images: Feature Reuse & Other Factors Christos Matsoukas Johan Fredin Haslum Moein Sorkhei Magnus P Soderberg Kevin Smith VLM OOD MedIm 27 85 0 02 Mar 2022
Integrated multimodal artificial intelligence framework for healthcare applications L. Soenksen Yu Ma C. Zeng L. Boussioux Kimberly Villalobos Carballo Liangyuan Na H. Wiberg Michael Lingzhi Li Ignacio Fuentes Dimitris Bertsimas 33 151 0 25 Feb 2022
Improving Classification Model Performance on Chest X-Rays through Lung Segmentation Hilda Azimi Jianxing Zhang Pengcheng Xi H. Asad Ashkan Ebadi Stéphane Tremblay Alexander Wong 26 7 0 22 Feb 2022
Multi-task UNet: Jointly Boosting Saliency Prediction and Disease Classification on Chest X-ray Images Hongzhi Zhu R. Rohling Septimiu Salcudean 19 4 0 15 Feb 2022