Author

Mahdi Khajehim

University of TorontoORCID 0000-0002-7298-1253Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Biophysics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:deep learning· 2 Assay:imaging· 2 Organism:human· 1

Frequent Co-Authors

Thomas ChristeniD· 2 shared Fred TamiD· 1 shared J. Jean Chen· 1 shared Simon J. GrahamiD· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 4 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersNeuroscience

Thomas ChristenORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

NeuroscienceNeuroImagePeer-reviewedJun 5, 2021

Streamlined Magnetic Resonance Fingerprinting: Fast Whole-brain Coverage with Deep-learning Based Parameter Estimation

Mahdi Khajehim, Thomas Christen, Fred Tam, Simon J. Graham

This paper introduces a streamlined MRF framework using deep learning for fast whole-brain T1/T2/T2* estimation with reduced scan time and storage requirements.

23 citations

𝕏 PostBluesky

BiophysicsbioRxivPreprintApr 10, 2019

Magnetic Resonance Fingerprinting with Combined Gradient- and Spin-echo Echo-planar Imaging: Simultaneous Estimation of T1, T2 and T2* with integrated-B1 Correction

Mahdi Khajehim, Thomas Christen, J. Jean Chen

This paper introduces a magnetic resonance fingerprinting framework combining gradient- and spin-echo echo-planar imaging to simultaneously estimate T1, T2, and T2* with integrated B1 correction, showing high accuracy in phantom and human scans.

DOI 10.1101/604546

imagingdeep learning

𝕏 PostBluesky