119 citations
- The University of Texas at San AntonioUS3 papers
- The University of Texas Health Science Center at HoustonUS3 papers
- Cedars-Sinai Medical CenterUS2 papers
- InsermFR2 papers
- Stanford UniversityUS2 papers
- The University of Texas Southwestern Medical CenterUS2 papers
- University of California, Los AngelesUS2 papers
- Aarhus University HospitalDK1 paper
- Ain Shams University HospitalEG1 paper
- Assistance Publique – Hôpitaux de ParisFR1 paper
- Belfast Health and Social Care TrustGB1 paper
- Birkbeck, University of LondonGB1 paper
10 papers
KMT2B-related disorders: expansion of the phenotypic spectrum and long-term efficacy of deep brain stimulation
L Cif, D Demailly, JP Lin +112
Heterozygous mutations in KMT2B are associated with an early-onset, progressive, and often complex dystonia (DYT28). Key characteristics of typical disease include focal motor feat…
Vision-Language and Large Language Model Performance in Gastroenterology: GPT, Claude, Llama, Phi, Mistral, Gemma, and Quantized Models
Seyed Amir Ahmad Safavi-Naini, Shuhaib Ali, Omer Shahab +15
Background and Aims: This study evaluates the medical reasoning performance of large language models (LLMs) and vision language models (VLMs) in gastroenterology. Methods: We used…
Accommodating heterogeneous missing data patterns for prostate cancer risk prediction
Matthias Neumair, Michael W. Kattan, Stephen J. Freedland +13
Objective: We compared six commonly used logistic regression methods for accommodating missing risk factor data from multiple heterogeneous cohorts, in which some cohorts do not co…
Reproducibility and Evolution of Diffusion MRI Measurements within the Cervical Spinal Cord in Multiple Sclerosis
Haykel Snoussi, Emmanuel Caruyer, Benoit Combes +5
In Multiple Sclerosis (MS), there is a large discrepancy between the clinical observations and how the pathology is exhibited on brain images, this is known as the clinical-radiolo…
Latent Space Arc Therapy Optimization
Noah Bice, Mohamad Fakhreddine, Ruiqi Li +5
Volumetric modulated arc therapy planning is a challenging problem in high-dimensional, non-convex optimization. Traditionally, heuristics such as fluence-map-optimization-informed…
SIRNet: Understanding Social Distancing Measures with Hybrid Neural Network Model for COVID-19 Infectious Spread
Nicholas Soures, David Chambers, Zachariah Carmichael +5
The SARS-CoV-2 infectious outbreak has rapidly spread across the globe and precipitated varying policies to effectuate physical distancing to ameliorate its impact. In this study,…