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B. Siegel

7 papers hereh-index 141.5k citations54 works total

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

author position
  • middle author7

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

fields
  • physics.med-ph5
  • eess.IV2
same name
  • B. Siegel — 5 papers, h 96
  • B. Siegel — 3 papers, h 6
  • B. Siegel — 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
20222026
most citedNeed for objective task-based evaluation of AI-based segmentation methods for quantitative PET

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

collaborators
Showing 2023 · physics.med-phShow all

3 papers · 2 filters

physics.med-ph2023

DEMIST: A deep-learning-based task-specific denoising approach for myocardial perfusion SPECT

Md Ashequr Rahman, Zitong Yu, Richard Laforest +3

There is an important need for methods to process myocardial perfusion imaging (MPI) SPECT images acquired at lower radiation dose and/or acquisition time such that the processed i…

physics.med-ph2023

Development and task-based evaluation of a scatter-window projection and deep learning-based transmission-less attenuation compensation method for myocardial perfusion SPECT

Zitong Yu, Md Ashequr Rahman, Craig K. Abbey +2

Attenuation compensation (AC) is beneficial for visual interpretation tasks in single-photon emission computed tomography (SPECT) myocardial perfusion imaging (MPI). However, tradi…

physics.med-ph2023★ 7 cited

Need for objective task-based evaluation of AI-based segmentation methods for quantitative PET

Ziping Liu, Joyce C. Mhlanga, Barry A. Siegel +1

Artificial intelligence (AI)-based methods are showing substantial promise in segmenting oncologic positron emission tomography (PET) images. For clinical translation of these meth…

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