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researcher

J. Stember

10 papers hereh-index 13567 citations46 works total

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

author position
  • first author8
  • last author1

Across the 9 of 10 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.NE3
  • cs.AI1
  • eess.IV1
  • q-bio.QM1

identity via Semantic Scholar / OpenAlex

activity
20192022
most citedDeep reinforcement learning to detect brain lesions on MRI: a proof-of-concept application of reinforcement learning to medical images

6 citations · 12 across the 8 of their papers we have counts for

collaborators
Showing 2021Show all

3 papers · 1 filter

cs.CV2021

Deep reinforcement learning with automated label extraction from clinical reports accurately classifies 3D MRI brain volumes

Joseph Stember, Hrithwik Shalu

Purpose: Image classification is perhaps the most fundamental task in imaging AI. However, labeling images is time-consuming and tedious. We have recently demonstrated that reinfor…

cs.CV2021★ 3 cited

Deep reinforcement learning-based image classification achieves perfect testing set accuracy for MRI brain tumors with a training set of only 30 images

Joseph Stember, Hrithwik Shalu

Purpose: Image classification may be the fundamental task in imaging artificial intelligence. We have recently shown that reinforcement learning can achieve high accuracy for lesio…

q-bio.QM2021★ 2 cited

Deep Neural Network Based Differential Equation Solver for HIV Enzyme Kinetics

Joseph Stember, Parvathy Jayan, Hrithwik Shalu

Purpose: We seek to use neural networks (NNs) to solve a well-known system of differential equations describing the balance between T cells and HIV viral burden. Materials and Meth…

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