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researcher

Amod Jog

3 papers here

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

author position
  • first author3

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

fields
  • cs.CV3

identity via Semantic Scholar / OpenAlex

most citedFast Infant MRI Skullstripping with Multiview 2D Convolutional Neural Networks

5 citations · 5 across the 1 of their papers we have counts for

collaborators

3 papers

cs.CV2019★ 5 cited

Fast Infant MRI Skullstripping with Multiview 2D Convolutional Neural Networks

Amod Jog, P. Ellen Grant, Joseph L. Jacobson +4

Skullstripping is defined as the task of segmenting brain tissue from a full head magnetic resonance image~(MRI). It is a critical component in neuroimage processing pipelines. Dow…

cs.CV2019

PSACNN: Pulse Sequence Adaptive Fast Whole Brain Segmentation

Amod Jog, Andrew Hoopes, Douglas N. Greve +2

With the advent of convolutional neural networks~(CNN), supervised learning methods are increasingly being used for whole brain segmentation. However, a large, manually annotated t…

cs.CV2018

Pulse Sequence Resilient Fast Brain Segmentation

Amod Jog, Bruce Fischl

Accurate automatic segmentation of brain anatomy from T1​-weighted~(T1​-w) magnetic resonance images~(MRI) has been a computationally intensive bottleneck in neuroimaging pipel…

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