output
20092025
most citedDynamic network drivers of seizure generation, propagation and termination in human epilepsy

206 citations

11 papers

cs.CL2025★ 2 cited

Self-Reported Confidence of Large Language Models in Gastroenterology: Analysis of Commercial, Open-Source, and Quantized Models

Nariman Naderi, Seyed Amir Ahmad Safavi-Naini, Thomas Savage +4

This study evaluated self-reported response certainty across several large language models (GPT, Claude, Llama, Phi, Mistral, Gemini, Gemma, and Qwen) using 300 gastroenterology bo…

cs.LG2023★ 20 cited

Self-explainable Graph Neural Network for Alzheimer's Disease And Related Dementias Risk Prediction

Xinyue Hu, Zenan Sun, Yi Nian +6

Background: Alzheimer's disease and related dementias (ADRD) ranks as the sixth leading cause of death in the US, underlining the importance of accurate ADRD risk prediction. While…

physics.med-ph2022★ 6 cited

Electroanatomic Mapping to determine Scar Regions in patients with Atrial Fibrillation

Jiyue He, Kuk Jin Jang, Katie Walsh +3

Left atrial voltage maps are routinely acquired during electroanatomic mapping in patients undergoing catheter ablation for atrial fibrillation. For patients, who have prior cathet…

cs.AI2021★ 187 cited

A brief history of AI: how to prevent another winter (a critical review)

Amirhosein Toosi, Andrea Bottino, Babak Saboury +2

The field of artificial intelligence (AI), regarded as one of the most enigmatic areas of science, has witnessed exponential growth in the past decade including a remarkably wide a…

q-bio.NC2020★ 2 cited

Improving J-divergence of brain connectivity states by graph Laplacian denoising

Tiziana Cattai, Gaetano Scarano, Marie-Constance Corsi +3

Functional connectivity (FC) can be represented as a network, and is frequently used to better understand the neural underpinnings of complex tasks such as motor imagery (MI) detec…

eess.IV2020★ 19 cited

Semi-Supervised Deep Learning for Multi-Tissue Segmentation from Multi-Contrast MRI

Syed Muhammad Anwar, Ismail Irmakci, Drew A. Torigian +5

Segmentation of thigh tissues (muscle, fat, inter-muscular adipose tissue (IMAT), bone, and bone marrow) from magnetic resonance imaging (MRI) scans is useful for clinical and rese…

q-bio.NC2020★ 86 cited

Time-evolving controllability of effective connectivity networks during seizure progression

Brittany H. Scheid, Arian Ashourvan, Jennifer Stiso +5

Over one third of the estimated 3 million people with epilepsy in the US are medication resistant. Responsive neurostimulation from chronically implanted electrodes provides a prom…

physics.soc-ph2017★ 42 cited

Benchmarking measures of network controllability on canonical graph models

Elena Wu-Yan, Richard F. Betzel, Evelyn Tang +3

Many real-world systems are composed of many individual components that interact with one another in a complex pattern to produce diverse behaviors. Understanding how to intervene…

q-bio.NC2014★ 206 cited

Dynamic network drivers of seizure generation, propagation and termination in human epilepsy

Ankit Khambhati, Brian Litt, Danielle S. Bassett

Drug-resistant epilepsy is traditionally characterized by pathologic cortical tissue comprised of seizure-initiating `foci'. These `foci' are thought to be embedded within an epile…

math.NA2009★ 3 cited

Discrete Inverse Scattering Theory for NMR Pulse Design

Jeremy F. Magland

We introduce a discrete analogue of the scattering theory for the Zakharov-Shabat (ZS) system, and use it to continue the work of C.L. Epstein by deriving an efficient, recursive a…

stat.ME2009★ 10 cited

Bayesian testing of many hypotheses many genes: A study of sleep apnea

Shane T. Jensen, Ibrahim Erkan, Erna S. Arnardottir +1

Substantial statistical research has recently been devoted to the analysis of large-scale microarray experiments which provide a measure of the simultaneous expression of thousands…