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Shammi More

Showing results (1-10 of 9) with videos related to

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Neuroimage|May 5, 2022
Reporting details of neuroimaging studies on individual traits prediction: A literature surveyAndy Wai Kan Yeung, Shammi More, Jianxiao Wu, et al.
Computers in Biology and Medicine|October 13, 2025
Region-wise stacking ensembles for estimating brain-age using structural MRIGeorgios Antonopoulos, Shammi More, Simon B Eickhoff, et al.
Gigabyte (Hong Kong, China)|March 18, 2024
Julearn: an easy-to-use library for leakage-free evaluation and inspection of ML modelsSami Hamdan, Shammi More, Leonard Sasse, et al.
Neuroimage|August 12, 2023
A systematic comparison of VBM pipelines and their application to age predictionGeorgios Antonopoulos, Shammi More, Federico Raimondo, et al.
Neuroimage|February 21, 2023
Brain-age prediction: A systematic comparison of machine learning workflowsShammi More, Georgios Antonopoulos, Felix Hoffstaedter, et al.
NPJ Parkinson'S Disease|December 8, 2025
Brain age gap as predictor of disease progression in Parkinson's diseaseTom Hähnel, Shammi More, Felix Hoffstaedter, et al.
Nature Communications|April 10, 2026
Exposome-wide patterns predict brain health in agingMostafa Mahdipour, Somayeh Maleki Balajoo, Federico Raimondo, et al.
Therapeutic Advances in Neurological Disorders|June 29, 2026
Brain age gap in multiple sclerosis: associated with disability but independent of serum biomarkersMarc Pawlitzki, Patricia Kirschner, Lars Masanneck, et al.
NPJ Microgravity|February 18, 2026
Longitudinal brain-age predictions comprising long-duration spaceflight missionsGe Tang, Kaustubh R Patil, Felix Hoffstaedter, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Neuroimage|May 5, 2022
Reporting details of neuroimaging studies on individual traits prediction: A literature surveyAndy Wai Kan Yeung, Shammi More, Jianxiao Wu, et al.
Computers in Biology and Medicine|October 13, 2025
Region-wise stacking ensembles for estimating brain-age using structural MRIGeorgios Antonopoulos, Shammi More, Simon B Eickhoff, et al.
Gigabyte (Hong Kong, China)|March 18, 2024
Julearn: an easy-to-use library for leakage-free evaluation and inspection of ML modelsSami Hamdan, Shammi More, Leonard Sasse, et al.
Neuroimage|August 12, 2023
A systematic comparison of VBM pipelines and their application to age predictionGeorgios Antonopoulos, Shammi More, Federico Raimondo, et al.
Neuroimage|February 21, 2023
Brain-age prediction: A systematic comparison of machine learning workflowsShammi More, Georgios Antonopoulos, Felix Hoffstaedter, et al.
NPJ Parkinson'S Disease|December 8, 2025
Brain age gap as predictor of disease progression in Parkinson's diseaseTom Hähnel, Shammi More, Felix Hoffstaedter, et al.
Nature Communications|April 10, 2026
Exposome-wide patterns predict brain health in agingMostafa Mahdipour, Somayeh Maleki Balajoo, Federico Raimondo, et al.
Therapeutic Advances in Neurological Disorders|June 29, 2026
Brain age gap in multiple sclerosis: associated with disability but independent of serum biomarkersMarc Pawlitzki, Patricia Kirschner, Lars Masanneck, et al.
NPJ Microgravity|February 18, 2026
Longitudinal brain-age predictions comprising long-duration spaceflight missionsGe Tang, Kaustubh R Patil, Felix Hoffstaedter, et al.
Pageof 1