102 citations
- Mayo Clinic in FloridaUS6 papers
- Mayo ClinicUS4 papers
- Mayo Clinic in ArizonaUS4 papers
- Arizona State UniversityUS3 papers
- University of Illinois Urbana-ChampaignUS2 papers
- Abu Dhabi Health ServicesAE1 paper
- Alibaba Group (China)CN1 paper
- Ashford and St Peter's Hospitals NHS Foundation TrustGB1 paper
- Ashford HospitalGB1 paper
- Athinoula A. Martinos Center for Biomedical ImagingUS1 paper
- Austin HealthAU1 paper
- Barnes-Jewish HospitalUS1 paper
7 papers · 1 filter
Covariate Adaptive Family-wise Error Rate Control for Genome-Wide Association Studies
Huijuan Zhou, Xianyang Zhang, Jun Chen
The family-wise error rate (FWER) has been widely used in genome-wide association studies. With the increasing availability of functional genomics data, it is possible to increase…
Democratizing Artificial Intelligence in Healthcare: A Study of Model Development Across Two Institutions Incorporating Transfer Learning
Vikash Gupta1, Holger Roth, Varun Buch3 +9
The training of deep learning models typically requires extensive data, which are not readily available as large well-curated medical-image datasets for development of artificial i…
Brain volume: An important determinant of functional outcome after acute ischemic stroke
Markus D. Schirmer, Kathleen L. Donahue, Marco J. Nardin +38
Objective: To determine whether brain volume is associated with functional outcome after acute ischemic stroke (AIS). Methods: We analyzed cross-sectional data of the multi-site, i…
Learning Semantics-enriched Representation via Self-discovery, Self-classification, and Self-restoration
Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Zongwei Zhou +2
Medical images are naturally associated with rich semantics about the human anatomy, reflected in an abundance of recurring anatomical patterns, offering unique potential to foster…
A Qualitative Evaluation of Language Models on Automatic Question-Answering for COVID-19
David Oniani, Yanshan Wang
COVID-19 has resulted in an ongoing pandemic and as of 12 June 2020, has caused more than 7.4 million cases and over 418,000 deaths. The highly dynamic and rapidly evolving situati…
Augmented Curation of Unstructured Clinical Notes from a Massive EHR System Reveals Specific Phenotypic Signature of Impending COVID-19 Diagnosis
FNU Shweta, Karthik Murugadoss, Samir Awasthi +24
Understanding the temporal dynamics of COVID-19 patient phenotypes is necessary to derive fine-grained resolution of pathophysiology. Here we use state-of-the-art deep neural netwo…