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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 2019Show all

3 papers · 1 filter

q-bio.QM2019★ 2 cited

Automatic Hip Fracture Identification and Functional Subclassification with Deep Learning

Justin D Krogue, Kaiyang V Cheng, Kevin M Hwang +13

Purpose: Hip fractures are a common cause of morbidity and mortality. Automatic identification and classification of hip fractures using deep learning may improve outcomes by reduc…

cs.CV2019★ 1 cited

Adversarial Policy Gradient for Deep Learning Image Augmentation

Kaiyang Cheng, Claudia Iriondo, Francesco Calivá +3

The use of semantic segmentation for masking and cropping input images has proven to be a significant aid in medical imaging classification tasks by decreasing the noise and varian…

eess.IV2019★ 24 cited

Distance Map Loss Penalty Term for Semantic Segmentation

Francesco Caliva, Claudia Iriondo, Alejandro Morales Martinez +2

Convolutional neural networks for semantic segmentation suffer from low performance at object boundaries. In medical imaging, accurate representation of tissue surfaces and volumes…

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