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20242026
most citedMulti-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results

23 citations · 23 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Predicting Post-Traumatic Epilepsy from Clinical Records using Large Language Model Embeddings

Wenhui Cui, Nicholas Swingle, Anand A. Joshi +2

Objective: Post-traumatic epilepsy (PTE) is a debilitating neurological disorder that develops after traumatic brain injury (TBI). Early prediction of PTE remains challenging due t…

eess.SP2026

Feasibility of simultaneous EEG-fMRI at 0.55 T: Recording, Denoising, and Functional Mapping

Parsa Razmara, Takfarinas Medani, Majid Abbasi Sisara +6

Simultaneous recording of electroencephalography (EEG) and functional MRI (fMRI) can provide a more complete view of brain function by merging high temporal and spatial resolutions…

q-bio.QM2025

A Tractography Analysis Framework Using Diffusion Maps to Study Thalamic Connectivity in Traumatic Brain Injury

Akul Sharma, Anand A. Joshi, Richard M. Leahy

Traumatic brain injury (TBI) disrupts thalamocortical connectivity, contributing to cognitive impairment and post-traumatic epilepsy (PTE). This study presents a novel tractography…

eess.IV2025

A Feasibility Study of Task-Based fMRI at 0.55 T

Parsa Razmara, Takfarinas Medani, Anand A. Joshi +6

0.55T MRI offers advantages compared to conventional field strengths, including reduced susceptibility artifacts and better compatibility with simultaneous EEG recordings. However,…

eess.IV2024★ 23 cited

Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results

Kelly Payette, Céline Steger, Roxane Licandro +64

Segmentation is a critical step in analyzing the developing human fetal brain. There have been vast improvements in automatic segmentation methods in the past several years, and th…