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Mohammad Shifat-E-Rabbi

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Proceedings of the National Academy of Sciences of the United States of America|September 22, 2020

Enabling early detection of osteoarthritis from presymptomatic cartilage texture maps via transport-based learningShinjini Kundu, Beth G Ashinsky, Mustapha Bouhrara, et al.

Cytometry. Part a : the Journal of the International Society for Analytical Cytology|February 11, 2023

Real-time intelligent classification of COVID-19 and thrombosis via massive image-based analysis of platelet aggregatesChenqi Zhang, Maik Herbig, Yuqi Zhou, et al.

Medrxiv : the Preprint Server for Health Sciences|September 15, 2025

Predictive modeling of hematoma expansion from non-contrast computed tomography in spontaneous intracerebral hemorrhage patientsNatasha Ironside, Kareem El Naamani, Tanvir Rizvi, et al.

Nature Communications|December 10, 2021

Massive image-based single-cell profiling reveals high levels of circulating platelet aggregates in patients with COVID-19Masako Nishikawa, Hiroshi Kanno, Yuqi Zhou, et al.

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Search research articles

Showing results (11-20 of 14) with videos related to

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Proceedings of the National Academy of Sciences of the United States of America|September 22, 2020

Enabling early detection of osteoarthritis from presymptomatic cartilage texture maps via transport-based learningShinjini Kundu, Beth G Ashinsky, Mustapha Bouhrara, et al.

Cytometry. Part a : the Journal of the International Society for Analytical Cytology|February 11, 2023

Real-time intelligent classification of COVID-19 and thrombosis via massive image-based analysis of platelet aggregatesChenqi Zhang, Maik Herbig, Yuqi Zhou, et al.

Medrxiv : the Preprint Server for Health Sciences|September 15, 2025

Predictive modeling of hematoma expansion from non-contrast computed tomography in spontaneous intracerebral hemorrhage patientsNatasha Ironside, Kareem El Naamani, Tanvir Rizvi, et al.

Nature Communications|December 10, 2021

Massive image-based single-cell profiling reveals high levels of circulating platelet aggregates in patients with COVID-19Masako Nishikawa, Hiroshi Kanno, Yuqi Zhou, et al.

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