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researcher

R. Sonnadara

3 papers here

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

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • eess.IV2
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedUnsupervised Medical Image Segmentation with Adversarial Networks: From Edge Diagrams to Segmentation Maps

12 citations · 15 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2021

Automated Grading of Anatomical Objective Structured Practical Exams Using Decision Trees

Jason Bernard, Ranil Sonnadara, Anthony N. Saraco +4

An Objective Structured Practical Examination (OSPE) is an effective and robust, but resource-intensive, means of evaluating anatomical knowledge. Since most OSPEs employ short ans…

eess.IV2021★ 3 cited

TricycleGAN: Unsupervised Image Synthesis and Segmentation Based on Shape Priors

Umaseh Sivanesan, Luis H. Braga, Ranil R. Sonnadara +1

Medical image segmentation is routinely performed to isolate regions of interest, such as organs and lesions. Currently, deep learning is the state of the art for automatic segment…

eess.IV2019★ 12 cited

Unsupervised Medical Image Segmentation with Adversarial Networks: From Edge Diagrams to Segmentation Maps

Umaseh Sivanesan, Luis H. Braga, Ranil R. Sonnadara +1

We develop and approach to unsupervised semantic medical image segmentation that extends previous work with generative adversarial networks. We use existing edge detection methods…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.