Gia H. Ngo

Also affiliated with New York Institute of Technology, Cornell Tech

NeuroscienceComputer Science

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 5 papers. Top paper: “Cortical response to naturalistic stimuli is largely predictable with deep neural networks”.

Cortical response to naturalistic stimuli is largely predictable with deep neural networks

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.09.11.293878

N/A

0DataRank · unranked

2 citations

Gia H. Ngo, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu, Meenakshi Khosla

Cortical response to naturalistic stimuli is largely predictable with deep neural networks

Science Advances(2021)10.1126/sciadv.abe7547

N/A

0DataRank · unranked

55 citations

Gia H. Ngo, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu, Meenakshi Khosla

Predicting individual task contrasts from resting‐state functional connectivity using a surface‐based convolutional network

NeuroImage(2021)10.1016/j.neuroimage.2021.118849

N/A

0DataRank · unranked

47 citations

Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu, Gia H. Ngo

A transformer-Based neural language model that synthesizes brain activation maps from free-form text queries

Medical Image Analysis(2022)10.1016/j.media.2022.102540

N/A

0DataRank · unranked

14 citations

Minh Nguyen, Nancy F. Chen, Mert R. Sabuncu, Gia H. Ngo

GLACIAL: Granger and Learning-based Causality Analysis for Longitudinal Imaging Studies

The Journal of Machine Learning for Biomedical Imaging(2024)10.59275/j.melba.2024-c7eg

N/A

0DataRank · unranked

2 citations

Gia H. Ngo, Mert R. Sabuncu, Minh Nguyen