🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Lasitha Vidyaratne

ORCID: 0000-0003-4053-7948
NeuroscienceEngineeringMedicineComputer SciencePhysics and Astronomy

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: “Context aware deep learning for brain tumor segmentation, subtype classification, and survival prediction using radiology images”.

Context aware deep learning for brain tumor segmentation, subtype classification, and survival prediction using radiology images

Scientific Reports(2020)10.1038/s41598-020-74419-9
N/A
0DataRank · unranked
147 citations

Lasitha Vidyaratne, Md Monibor Rahman, Khan M. Iftekharuddin, Linmin Pei

Survey on Deep Neural Networks in Speech and Vision Systems

Neurocomputing(2020)10.1016/j.neucom.2020.07.053
N/A
0DataRank · unranked
7 citations

Manar D. Samad, Lasitha Vidyaratne, Alexander Glandon, Khan M. Iftekharuddin, Mahbubul Alam

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results

arXiv (Cornell University)(2021)10.48550/arxiv.2112.10074
N/A
0DataRank · unranked
7 citations

Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Michael Rebsamen +87 more

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation – Analysis of Ranking Scores and Benchmarking Results

The Journal of Machine Learning for Biomedical Imaging(2022)10.59275/j.melba.2022-354b
N/A
0DataRank · unranked
53 citations

Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Michael Rebsamen +87 more