1.3k citations
- Vanderbilt UniversityUS67 papers
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- National Institutes of HealthUS7 papers
- Johns Hopkins UniversityUS6 papers
- University of California, San FranciscoUS6 papers
- University of PennsylvaniaUS6 papers
- Washington University in St. LouisUS6 papers
- Brigham and Women's HospitalUS5 papers
- Heidelberg UniversityDE5 papers
- Stanford UniversityUS5 papers
- University of WashingtonUS5 papers
98 papers
DeepFixel: Crossing white matter fiber identification through spherical convolutional neural networks
Adam M. Saunders, Lucas W. Remedios, Elyssa M. McMaster +6
Diffusion-weighted magnetic resonance imaging allows for reconstruction of models for structural connectivity in the brain, such as fiber orientation distribution functions (ODFs)…
Phenotype discovery of traumatic brain injury segmentations from heterogeneous multi-site data
Adam M. Saunders, Michael E. Kim, Gaurav Rudravaram +8
Traumatic brain injury (TBI) is intrinsically heterogeneous, and typical clinical outcome measures like the Glasgow Coma Scale complicate this diversity. The large variability in s…
Millennium Pathways for Tractography: 40 grand challenges to shape the future of tractography
Maxime Descoteaux, Kurt G. Schilling, Dogu Baran Aydogan +44
In the spirit of the historic Millennium Prize Problems that heralded a new era for mathematics, the newly formed International Society for Tractography (IST) has launched the Mill…
Low-Cost and Detunable Wireless Resonator Glasses for Enhanced Eye MRI with Concurrent High-Quality Whole Brain MRI
Ming Lu, Xiaoyue Yang, Jason Moore +5
Purpose: To develop and evaluate a wearable wireless resonator glasses design that enhances eye MRI signal-to-noise ratio (SNR) without compromising whole-brain image quality at 7…
Fast Electromagnetic and RF Circuit Co-Simulation for Passive Resonator Field Calculation and Optimization in MRI
Zhonghao Zhang, Ming Lu, Hao Liang +5
Passive resonators have been widely used in MRI to manipulate RF field distributions. However, optimizing these structures using full-wave electromagnetic simulations is computatio…
Memorization in Large Language Models in Medicine: Prevalence, Characteristics, and Implications
Anran Li, Lingfei Qian, Mengmeng Du +18
Large Language Models (LLMs) have demonstrated significant potential in medicine, with many studies adapting them through continued pre-training or fine-tuning on medical data to e…