23 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of California, BerkeleyUS4 papers
- Amazon (United States)US2 papers
- Brown UniversityUS2 papers
- California Institute of TechnologyUS2 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Columbia UniversityUS2 papers
- Duke UniversityUS2 papers
- Princeton UniversityUS2 papers
- Purdue University West LafayetteUS2 papers
- Sorbonne UniversitéFR2 papers
- Stanford UniversityUS2 papers
- Université Paris CitéFR2 papers
5 papers
The Vera C. Rubin Observatory Data Preview 1
Vera C Rubin Observatory Team, Tatiana Acero Cuellar, Emily Acosta +325
We present Rubin Data Preview 1 DP1, the first data from the NSF DOE Vera C Rubin Observatory, comprising raw and calibrated single epoch images, coadds, difference images, detecti…
Foundations of a Knee Joint Digital Twin from qMRI Biomarkers for Osteoarthritis and Knee Replacement
Gabrielle Hoyer, Kenneth T Gao, Felix G Gassert +4
This study forms the basis of a digital twin system of the knee joint, using advanced quantitative MRI (qMRI) and machine learning to advance precision health in osteoarthritis (OA…
Humanity's Last Exam
Long Phan, Alice Gatti, Ziwen Han +1168
Benchmarks are important tools for tracking the rapid advancements in large language model (LLM) capabilities. However, benchmarks are not keeping pace in difficulty: LLMs now achi…
Clinical utility of foundation models in musculoskeletal MRI for biomarker fidelity and predictive outcomes
Gabrielle Hoyer, Michelle W Tong, Rupsa Bhattacharjee +2
Precision medicine in musculoskeletal imaging requires scalable measurement infrastructure. We developed a modular system that converts routine MRI into standardized quantitative b…
DeepMetabolism: A Deep Learning System to Predict Phenotype from Genome Sequencing
Weihua Guo, You Xu, Xueyang Feng
Life science is entering a new era of petabyte-level sequencing data. Converting such big data to biological insights represents a huge challenge for computational analysis. To thi…