226 citations
- Feinstein Institute for Medical ResearchUS26 papers
- University of Science and Technology of ChinaCN6 papers
- Hofstra UniversityUS4 papers
- Universidad Nacional Autónoma de MéxicoMX4 papers
- National Centre of Scientific Research "Demokritos"GR3 papers
- Zucker Hillside HospitalUS3 papers
- Columbia UniversityUS2 papers
- Stony Brook UniversityUS2 papers
- AIRI - Artificial Intelligence Research InstituteRU1 paper
- Aristotle University of ThessalonikiGR1 paper
- Athena Research and Innovation Center In Information Communication & Knowledge TechnologiesGR1 paper
- Barcelona Supercomputing CenterES1 paper
34 papers
Overview of BioASQ 2026: The fourteenth BioASQ Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering
Anastasios Nentidis, Georgios Katsimpras, Anastasia Krithara +18
This paper presents an overview of the fourteenth edition of the BioASQ challenge, organized in the context of the Conference and Labs of the Evaluation Forum (CLEF) 2026. BioASQ i…
Integrating Virtual Reality and Large Language Models for Team-Based Non-Technical Skills Training and Evaluation in the Operating Room
Jacob Barker, Doga Demirel, Cullen Jackson +7
Although effective teamwork and communication are critical to surgical safety, structured training for non-technical skills (NTS) remains limited compared with technical simulation…
Quadratic Term Correction on Heaps' Law
Oscar Fontanelli, Wentian Li
Heaps' or Herdan's law characterizes the word-type vs. word-token relation by a power-law function, which is concave in linear-linear scale but a straight line in log-log scale. Ho…
A Network-Guided Penalized Regression with Application to Proteomics Data
Seungjun Ahn, Eun Jeong Oh
Network theory has proven invaluable in unraveling complex protein interactions. Previous studies have employed statistical methods rooted in network theory, including the Gaussian…
Improving Quality Control Of MRI Images Using Synthetic Motion Data
Charles Bricout, Kang Ik K. Cho, Michael Harms +10
MRI quality control (QC) is challenging due to unbalanced and limited datasets, as well as subjective scoring, which hinder the development of reliable automated QC systems. To add…
Contextual Feature Extraction Hierarchies Converge in Large Language Models and the Brain
Gavin Mischler, Yinghao Aaron Li, Stephan Bickel +2
Recent advancements in artificial intelligence have sparked interest in the parallels between large language models (LLMs) and human neural processing, particularly in language com…