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researcher

S. Majumdar

7 papers hereh-index 10132.9k citations706 works total

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

author position
  • middle author4
  • last author3

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • eess.IV4
  • cs.CV1
  • cs.HC1
  • q-bio.QM1
same name
  • S. Majumdar — 413 papers, h 65
  • S. Majumdar — 63 papers, h 20
  • S. Majumdar — 62 papers, h 23
  • S. Majumdar — 45 papers, h 31
  • S. Majumdar — 18 papers, h 14
  • S. Majumdar — 17 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192021
most citedDistance Map Loss Penalty Term for Semantic Segmentation

24 citations · 27 across the 7 of their papers we have counts for

collaborators
Showing 2020Show all

3 papers · 1 filter

eess.IV2020

The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset

Arjun D. Desai, Francesco Caliva, Claudia Iriondo +26

Purpose: To organize a knee MRI segmentation challenge for characterizing the semantic and clinical efficacy of automatic segmentation methods relevant for monitoring osteoarthriti…

eess.IV2020

Hierarchical Severity Staging of Anterior Cruciate Ligament Injuries using Deep Learning with MRI Images

Nikan K. Namiri, Io Flament, Bruno Astuto +6

Purpose: To evaluate the diagnostic utility of two convolutional neural networks (CNNs) for severity staging of anterior cruciate ligament (ACL) injuries. Materials and Methods: Th…

eess.IV2020

Deep learning predicts total knee replacement from magnetic resonance images

Aniket A. Tolpadi, Jinhee J. Lee, Valentina Pedoia +1

Knee Osteoarthritis (OA) is a common musculoskeletal disorder in the United States. When diagnosed at early stages, lifestyle interventions such as exercise and weight loss can slo…

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