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M. Jacobs

9 papers hereh-index 538.9k citations167 works total

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

author position
  • first author1
  • last author6

Across the 7 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • eess.IV2
  • physics.med-ph2
  • cs.LG1
  • q-bio.QM1
same name
  • M. Jacobs — 9 papers
  • M. Jacobs — 2 papers, h 3
  • M. Jacobs — 2 papers, h 6
  • M. Jacobs — 1 paper, h 28
  • M. Jacobs — 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

activity
20162019
most citedMultiparametric Deep Learning and Radiomics for Tumor Grading and Treatment Response Assessment of Brain Cancer: Preliminary Results

5 citations · 5 across the 2 of their papers we have counts for

collaborators
Showing 2019Show all

3 papers · 1 filter

eess.IV2019

Multiparametric Deep Learning Tissue Signatures for Muscular Dystrophy: Preliminary Results

Alex E. Bocchieri, Vishwa S. Parekh, Kathryn R. Wagner. Shivani Ahlawat +3

A current clinical challenge is identifying limb girdle muscular dystrophy 2I(LGMD2I)tissue changes in the thighs, in particular, separating fat, fat-infiltrated muscle, and muscle…

eess.IV2019★ 5 cited

Multiparametric Deep Learning and Radiomics for Tumor Grading and Treatment Response Assessment of Brain Cancer: Preliminary Results

Vishwa S. Parekh, John Laterra, Chetan Bettegowda +3

Radiomics is an exciting new area of texture research for extracting quantitative and morphological characteristics of pathological tissue. However, to date, only single images hav…

q-bio.QM2019

Tumor Connectomics: Mapping the intra-tumoral complex interaction network

Vishwa S. Parekh, Michael A. Jacobs

Tumors are extremely heterogeneous and comprise of a number of intratumor microenvironments or sub-regions. These tumor microenvironments may interact with eac based on complex hig…

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