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Gaurav Fotedar

2 papers hereh-index 224 citations4 works total

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

author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • eess.IV1

identity via Semantic Scholar / OpenAlex

most citedExtreme Consistency: Overcoming Annotation Scarcity and Domain Shifts

6 citations · 6 across the 2 of their papers we have counts for

collaborators

2 papers

eess.IV2022

MDT-Net: Multi-domain Transfer by Perceptual Supervision for Unpaired Images in OCT Scan

Weinan Song, Gaurav Fotedar, Nima Tajbakhsh +3

Deep learning models tend to underperform in the presence of domain shifts. Domain transfer has recently emerged as a promising approach wherein images exhibiting a domain shift ar…

cs.CV2020★ 6 cited

Extreme Consistency: Overcoming Annotation Scarcity and Domain Shifts

Gaurav Fotedar, Nima Tajbakhsh, Shilpa Ananth +1

Supervised learning has proved effective for medical image analysis. However, it can utilize only the small labeled portion of data; it fails to leverage the large amounts of unlab…

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