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
5 papers · 1 filter
Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot?
Xiaolong Ma, Geng Yuan, Xuan Shen +8
There have been long-standing controversies and inconsistencies over the experiment setup and criteria for identifying the "winning ticket" in literature. To reconcile such, we rev…
On Invariance Penalties for Risk Minimization
Kia Khezeli, Arno Blaas, Frank Soboczenski +2
The Invariant Risk Minimization (IRM) principle was first proposed by Arjovsky et al. [2019] to address the domain generalization problem by leveraging data heterogeneity from diff…
Reinforcement Learning based Disease Progression Model for Alzheimer's Disease
Krishnakant V. Saboo, Anirudh Choudhary, Yurui Cao +3
We model Alzheimer's disease (AD) progression by combining differential equations (DEs) and reinforcement learning (RL) with domain knowledge. DEs provide relationships between som…
Comparisons of Graph Neural Networks on Cancer Classification Leveraging a Joint of Phenotypic and Genetic Features
David Oniani, Chen Wang, Yiqing Zhao +3
Cancer is responsible for millions of deaths worldwide every year. Although significant progress hasbeen achieved in cancer medicine, many issues remain to be addressed for improvi…
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…