Santiago Aja‐Fernández

MedicineComputer 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 3 papers. Top paper: “Validation of deep learning techniques for quality augmentation in diffusion MRI for clinical studies”.

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

Introducing QuantConn: Overcoming Challenging Diffusion Acquisitions with Harmonization

Lecture notes in computer science(2025)10.1007/978-3-031-86920-4_15

N/A

0DataRank · unranked

0 citations

Kurt G. Schilling, Serge Koudoro, Bramsh Q. Chandio, Praitayini Kanakaraj, Daniel Moyer +26 more