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researcher

P. LaMontagne

10 papers hereh-index 214.4k citations96 works total

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

author position
  • middle author6

Across the 6 of 10 papers where every author was matched, so the position is known.

fields
  • eess.IV4
  • cs.CV2
  • q-bio.OT2
  • cs.LG1
  • q-bio.QM1
same name
  • P. Lamontagne — 19 papers, h 5

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
20182026
most citedFederated Learning Enables Big Data for Rare Cancer Boundary Detection

390 citations · 485 across the 9 of their papers we have counts for

collaborators
Showing 2022Show all

3 papers · 1 filter

eess.IV2022★ 36 cited

MRI-based classification of IDH mutation and 1p/19q codeletion status of gliomas using a 2.5D hybrid multi-task convolutional neural network

Satrajit Chakrabarty, Pamela LaMontagne, Joshua Shimony +2

Isocitrate dehydrogenase (IDH) mutation and 1p/19q codeletion status are important prognostic markers for glioma. Currently, they are determined using invasive procedures. Our goal…

eess.IV2022★ 9 cited

Integrative Imaging Informatics for Cancer Research: Workflow Automation for Neuro-oncology (I3CR-WANO)

Satrajit Chakrabarty, Syed Amaan Abidi, Mina Mousa +12

Efforts to utilize growing volumes of clinical imaging data to generate tumor evaluations continue to require significant manual data wrangling owing to the data heterogeneity. Her…

cs.LG2022★ 390 cited

Federated Learning Enables Big Data for Rare Cancer Boundary Detection

Sarthak Pati, Ujjwal Baid, Brandon Edwards +276

Although machine learning (ML) has shown promise in numerous domains, there are concerns about generalizability to out-of-sample data. This is currently addressed by centrally shar…

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