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researcher

D. Abraham

8 papers hereh-index 565 citations37 works total

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

author position
  • first author1
  • middle author7

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • eess.SP5
  • eess.IV2
  • physics.med-ph1
same name
  • D. Abraham — 15 papers, h 22
  • D. Abraham — 10 papers, h 37
  • D. Abraham — 4 papers, h 70
  • D. Abraham — 3 papers, h 1
  • D. Abraham — 1 paper, h 19
  • D. Abraham — 1 paper, h 2

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
20232026
most citedData and Physics driven Deep Learning Models for Fast MRI Reconstruction: Fundamentals and Methodologies

13 citations · 14 across the 7 of their papers we have counts for

collaborators
Showing 2026Show all

3 papers · 1 filter

eess.SP2026

High-Temporal-Resolution Motion Correction in Magnetic Resonance Fingerprinting Using a Quantitative Scout and Compact Spiral Navigators

Aizada Nurdinova, Xiaozhi Cao, Daniel R. Abraham +6

Motion correction in magnetic resonance fingerprinting (MRF) helps preserve the accuracy of quantitative maps; however, existing approaches provide motion updates only every 7-8 se…

eess.SP2026

Fast Voxelwise SNR Estimation for Iterative MRI Reconstructions

Onat Dalmaz, Daniel Abraham, Alexander R. Toews +3

Purpose: To develop a fast, general-purpose framework for voxelwise noise characterization in linear and nonlinear iterative MRI reconstructions, recovering the image-domain noise…

eess.IV2026

Fully 3D Unrolled Magnetic Resonance Fingerprinting Reconstruction via Staged Pretraining and Implicit Gridding

Yonatan Urman, Mark Nishimura, Daniel Abraham +2

Magnetic Resonance Fingerprinting (MRF) enables fast quantitative imaging, yet reconstructing high-resolution 3D data remains computationally demanding. Non-Cartesian reconstructio…

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