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Nicholas Josselyn

Showing results (1-10 of 4) with videos related to

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Scientific Reports|December 15, 2022
Quantitative susceptibility mapping using plug-and-play alternating direction method of multipliersSrikant Kamesh Iyer, Brianna F Moon, Nicholas Josselyn, et al.
Npj Mental Health Research|April 30, 2026
Evaluating model generalizability for suicide attempt risk prediction: traditional machine vs deep learningNicholas Josselyn, Sahil Sawant, Rachel E Davis-Martin, et al.
Radiology. Artificial Intelligence|August 5, 2021
Classification of Myocardial <sup>18</sup>F-FDG PET Uptake Patterns Using Deep LearningNicholas Josselyn, Matthew T MacLean, Christopher Jean, et al.
Journal of Magnetic Resonance Imaging : JMRI|March 5, 2020
Data-Driven Quantitative Susceptibility Mapping Using Loss Adaptive Dipole Inversion (LADI)Srikant Kamesh Iyer, Brianna F Moon, Nicholas Josselyn, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Scientific Reports|December 15, 2022
Quantitative susceptibility mapping using plug-and-play alternating direction method of multipliersSrikant Kamesh Iyer, Brianna F Moon, Nicholas Josselyn, et al.
Npj Mental Health Research|April 30, 2026
Evaluating model generalizability for suicide attempt risk prediction: traditional machine vs deep learningNicholas Josselyn, Sahil Sawant, Rachel E Davis-Martin, et al.
Radiology. Artificial Intelligence|August 5, 2021
Classification of Myocardial <sup>18</sup>F-FDG PET Uptake Patterns Using Deep LearningNicholas Josselyn, Matthew T MacLean, Christopher Jean, et al.
Journal of Magnetic Resonance Imaging : JMRI|March 5, 2020
Data-Driven Quantitative Susceptibility Mapping Using Loss Adaptive Dipole Inversion (LADI)Srikant Kamesh Iyer, Brianna F Moon, Nicholas Josselyn, et al.
Pageof 1