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researcher

Sairam Geethanath

3 papers here

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

author position
  • last author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • physics.ed-ph1
  • physics.med-ph1
ORCID 0000-0002-3776-4114

identity via Semantic Scholar / OpenAlex

most citedRepeatability of image quality in very low field MRI

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2024

Automated detection of motion artifacts in brain MR images using deep learning and explainable artificial intelligence

Marina Manso Jimeno, Keerthi Sravan Ravi, Maggie Fung +2

Quality assessment, including inspecting the images for artifacts, is a critical step during MRI data acquisition to ensure data quality and downstream analysis or interpretation s…

physics.med-ph2023★ 1 cited

Repeatability of image quality in very low field MRI

Pavan Poojar Kunal Aggarwal, Marina Manso Jimeno, Sairam Geethanath

We investigated the repeatability of image quality metrics such as SNR, image uniformity, and geometrical distortion at 0.05T over ten days and three sessions per day. The measurem…

physics.ed-ph2023

Virtual Scanner Games: expanding access to Magnetic Resonance (MR) education through interactive web tutorials

Gehua Tong, Rishi Ananth, John Thomas Vaughan +1

Background: Magnetic Resonance Imaging (MRI) is a medical imaging technique that combines principles of physics, math, and engineering to look inside humans and animals, hence deli…

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