Ketaki Buwa

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 4 papers. Top paper: “Deep learning enhanced ALPS reveals genetic and environmental factors of brain glymphatic function”.

Deep learning enhanced ALPS reveals genetic and environmental factors of brain glymphatic function

eBioMedicine(2026)10.1016/j.ebiom.2026.106133

N/A

0DataRank · unranked

0 citations

Hao Wu, Wenbiao Xian, Yifan Zheng, Wenxuan Du, Xinyi Chen +1916 more

Predicting Brain Amyloid Positivity from T1 weighted brain MRI and MRI-derived Gray Matter, White Matter and CSF maps using Transfer Learning on 3D CNNs*

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.02.15.528705

N/A

0DataRank · unranked

11 citations

Saket S. Ozarkar, Ketaki Buwa, Sophia I. Thomopoulos, Paul M. Thompson, the Alzheimer’s Disease Neuroimaging Initiative +1 more

Comparison of deep learning architectures for predicting amyloid positivity in Alzheimer’s disease, mild cognitive impairment, and healthy aging, from T1-weighted brain structural MRI

Frontiers in Neuroscience(2024)10.3389/fnins.2024.1387196

N/A

0DataRank · unranked

15 citations

Saket S. Ozarkar, Ketaki Buwa, Neha Ann Joshy, Dheeraj Komandur, Jayati Naik +5 more

Brain Age Analysis and Dementia Classification using Convolutional Neural Networks trained on Diffusion MRI: Tests in Indian and North American Cohorts

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.02.04.578829

N/A

0DataRank · unranked

2 citations

Neha Ann Joshy, Saket S. Ozarkar, Ketaki Buwa, Yixue Feng, Emily Laltoo +7 more