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researcher

S. Prabhu

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
  • cs.CV3
same name
  • S. Prabhu — 3 papers, h 12
  • S. Prabhu — 2 papers, h 25
  • S. Prabhu — 2 papers
  • S. Prabhu — 1 paper, h 5
  • S. Prabhu — 1 paper
  • S. Prabhu — 1 paper

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

most citedBrain Age Estimation Using LSTM on Children's Brain MRI

2 citations · 2 across the 1 of their papers we have counts for

collaborators

3 papers

cs.CV2020★ 2 cited

Brain Age Estimation Using LSTM on Children's Brain MRI

Sheng He, Randy L. Gollub, Shawn N. Murphy +6

Brain age prediction based on children's brain MRI is an important biomarker for brain health and brain development analysis. In this paper, we consider the 3D brain MRI volume as…

cs.CV2018

Exclusive Independent Probability Estimation using Deep 3D Fully Convolutional DenseNets: Application to IsoIntense Infant Brain MRI Segmentation

Seyed Raein Hashemi, Sanjay P. Prabhu, Simon K. Warfield +1

The most recent fast and accurate image segmentation methods are built upon fully convolutional deep neural networks. In this paper, we propose new deep learning strategies for Den…

cs.CV2018

Asymmetric Loss Functions and Deep Densely Connected Networks for Highly Imbalanced Medical Image Segmentation: Application to Multiple Sclerosis Lesion Detection

Seyed Raein Hashemi, Seyed Sadegh Mohseni Salehi, Deniz Erdogmus +3

Fully convolutional deep neural networks have been asserted to be fast and precise frameworks with great potential in image segmentation. One of the major challenges in training su…

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