2.1k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Yale UniversityUS6 papers
- Yale New Haven Health SystemUS3 papers
- Chinese Academy of Medical Sciences & Peking Union Medical CollegeCN1 paper
- Duke-NUS Medical SchoolSG1 paper
- Fu Wai HospitalCN1 paper
- National Center for Biotechnology InformationUS1 paper
- National Eye InstituteUS1 paper
- National Institutes of HealthUS1 paper
- National University of SingaporeSG1 paper
- Northwestern UniversityUS1 paper
- State Key Laboratory of Cardiovascular Disease1 paper
- Texas A&M UniversityUS1 paper
6 papers
Ascle: A Python Natural Language Processing Toolkit for Medical Text Generation
Rui Yang, Qingcheng Zeng, Keen You +13
This study introduces Ascle, a pioneering natural language processing (NLP) toolkit designed for medical text generation. Ascle is tailored for biomedical researchers and healthcar…
Self-supervised contrastive learning of echocardiogram videos enables label-efficient cardiac disease diagnosis
Gregory Holste, Evangelos K. Oikonomou, Bobak J. Mortazavi +2
Advances in self-supervised learning (SSL) have shown that self-supervised pretraining on medical imaging data can provide a strong initialization for downstream supervised classif…
A Novel Loss Function Incorporating Imaging Acquisition Physics for PET Attenuation Map Generation using Deep Learning
Luyao Shi, John A. Onofrey, Enette Mae Revilla +6
In PET/CT imaging, CT is used for PET attenuation correction (AC). Mismatch between CT and PET due to patient body motion results in AC artifacts. In addition, artifact caused by m…
A Scalable Data Science Platform for Healthcare and Precision Medicine Research
Jacob McPadden, Thomas JS Durant, Dustin R Bunch +9
Objective: To (1) demonstrate the implementation of a data science platform built on open-source technology within a large, academic healthcare system and (2) describe two computat…
TrialChain: A Blockchain-Based Platform to Validate Data Integrity in Large, Biomedical Research Studies
Hao Dai, H Patrick Young, Thomas JS Durant +5
The governance of data used for biomedical research and clinical trials is an important requirement for generating accurate results. To improve the visibility of data quality and a…
DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural Network
Jared Katzman, Uri Shaham, Jonathan Bates +3
Medical practitioners use survival models to explore and understand the relationships between patients' covariates (e.g. clinical and genetic features) and the effectiveness of var…