Tabinda Sarwar

NeuroscienceEngineeringMedicineComputer 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 4 papers. Top paper: “Structure-function coupling in the human connectome: A machine learning approach”.

Structure-function coupling in the human connectome: A machine learning approach

NeuroImage(2020)10.1016/j.neuroimage.2020.117609

N/A

0DataRank · unranked

150 citations

Ye Ella Tian, B.T. Thomas Yeo, Kotagiri Ramamohanarao, Andrew Zalesky, Tabinda Sarwar

Towards deep learning for connectome mapping: A block decomposition framework

NeuroImage(2020)10.1016/j.neuroimage.2020.116654

N/A

0DataRank · unranked

21 citations

Caio Seguin, Kotagiri Ramamohanarao, Andrew Zalesky, Tabinda Sarwar

Evaluation of tractogram filtering methods using human-like connectome phantoms

NeuroImage(2023)10.1016/j.neuroimage.2023.120376

N/A

0DataRank · unranked

14 citations

Kotagiri Ramamohanarao, Alessandro Daducci, Simona Schiavi, Robert E. Smith, Andrew Zalesky +1 more

Predicting an individual’s functional connectivity from their structural connectome: Evaluation of evidence, recommendations, and future prospects

Network Neuroscience(2024)10.1162/netn_a_00400

N/A

0DataRank · unranked

11 citations

Tabinda Sarwar, Ye Ella Tian, Yuanzhe Liu, B.T. Thomas Yeo, Kotagiri Ramamohanarao +1 more