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researcher

Mohammad Zalbagi Darestani

2 papers hereh-index 61.4k citations8 works total

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

author position
  • first author1

Across the 1 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG1
  • eess.IV1

identity via Semantic Scholar / OpenAlex

most citedMONAI: An open-source framework for deep learning in healthcare

452 citations · 452 across the 1 of their papers we have counts for

collaborators

2 papers

cs.LG2022★ 452 cited

MONAI: An open-source framework for deep learning in healthcare

M. Jorge Cardoso, Wenqi Li, Richard Brown +53

Artificial Intelligence (AI) is having a tremendous impact across most areas of science. Applications of AI in healthcare have the potential to improve our ability to detect, diagn…

eess.IV2021

Measuring Robustness in Deep Learning Based Compressive Sensing

Mohammad Zalbagi Darestani, Akshay S. Chaudhari, Reinhard Heckel

Deep neural networks give state-of-the-art accuracy for reconstructing images from few and noisy measurements, a problem arising for example in accelerated magnetic resonance imagi…

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