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
6 papers · 1 filter
Incremental Cross-Domain Adaptation for Robust Retinopathy Screening via Bayesian Deep Learning
Taimur Hassan, Bilal Hassan, Muhammad Usman Akram +3
Retinopathy represents a group of retinal diseases that, if not treated timely, can cause severe visual impairments or even blindness. Many researchers have developed autonomous sy…
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…
A general, simple, robust method to account for measurement error when analyzing data with an internal validation subsample
Walter K Kremers
Background: Measurement errors in terms of quantification or classification frequently occur in epidemiologic data and can strongly impact inference. Measurement errors may occur w…
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…