Antonio Tristán‐Vega

MedicineNeuroscience

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 3 papers. Top paper: “The DTI Challenge: Toward Standardized Evaluation of Diffusion Tensor Imaging Tractography for Neurosurgery: The DTI Challenge on Tractography for Neurosurgery”.

The DTI Challenge: Toward Standardized Evaluation of Diffusion Tensor Imaging Tractography for Neurosurgery: The DTI Challenge on Tractography for Neurosurgery

UNC Libraries(2020)10.17615/p2zv-5d79

N/A

0DataRank · unranked

0 citations

Antonio Tristán‐Vega, Peter Neher, Guido Gerig, Terry M. Peters, Sylvain Gouttard +24 more

Validation of deep learning techniques for quality augmentation in diffusion MRI for clinical studies

NeuroImage Clinical(2023)10.1016/j.nicl.2023.103483

N/A

0DataRank · unranked

14 citations

Carmen Martín‐Martín, Álvaro Planchuelo‐Gómez, Abrar Faiyaz, Md Nasir Uddin, Giovanni Schifitto +40 more

MICCAI-CDMRI 2023 QuantConn Challenge Findings on Achieving Robust Quantitative Connectivity through Harmonized Preprocessing of Diffusion MRI

The Journal of Machine Learning for Biomedical Imaging(2024)10.59275/j.melba.2024-9c68

N/A

0DataRank · unranked

2 citations

Kurt G. Schilling, Serge Koudoro, Bramsh Q. Chandio, Praitayini Kanakaraj, Daniel Moyer +31 more