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researcher

L. Vidyaratne

4 papers hereh-index 141.1k citations44 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • cs.LG1
  • eess.IV1
  • physics.acc-ph1

identity via Semantic Scholar / OpenAlex

activity
20192021
most citedQU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results

58 citations · 113 across the 3 of their papers we have counts for

collaborators
Showing 2021Show all

2 papers · 1 filter

eess.IV2021★ 58 cited

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

Raghav Mehta, Angelos Filos, Ujjwal Baid +89

Deep learning (DL) models have provided state-of-the-art performance in various medical imaging benchmarking challenges, including the Brain Tumor Segmentation (BraTS) challenges.…

cs.LG2021

Deep Cellular Recurrent Network for Efficient Analysis of Time-Series Data with Spatial Information

Lasitha Vidyaratne, Mahbubul Alam, Alexander Glandon +3

Efficient processing of large-scale time series data is an intricate problem in machine learning. Conventional sensor signal processing pipelines with hand engineered feature extra…

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