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Journal of the American Heart Association|December 30, 2025
Clinically Applicable Machine Learning Approach to Predict Intracerebral Hematoma ExpansionShogo Watanabe, Nice Ren, Yukihiro Imaoka, et al.
Plos One|July 11, 2022
Evaluating tubulointerstitial compartments in renal biopsy specimens using a deep learning-based approach for classifying normal and abnormal tubulesSatoshi Hara, Emi Haneda, Masaki Kawakami, et al.
Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)|November 28, 2017
Impact of pixel-based machine-learning techniques on automated frameworks for delineation of gross tumor volume regions for stereotactic body radiation therapyYasuo Kawata, Hidetaka Arimura, Koujirou Ikushima, et al.
FEBS Letters|May 13, 2023
TDP-43 N-terminal domain dimerisation or spatial separation by RNA binding decreases its propensity to aggregateMotoki Miura, Fumika Sakaue, Hirokazu Matsuno, et al.
Circulation Reports|February 18, 2022
Explainable Machine Learning for Atrial Fibrillation in the General Population Using a Generalized Additive Model - A Cross-Sectional StudyMasaki Kawakami, Shigehiro Karashima, Kento Morita, et al.
International Journal of Molecular Sciences|August 22, 2018
Expression, Functional Characterization, and Preliminary Crystallization of the Cochaperone Prefoldin from the Thermophilic Fungus Chaetomium thermophilumKento Morita, Yohei Y Yamamoto, Ayaka Hori, et al.
Journal of Medical Systems|March 8, 2024
3D CNN-based Deep Learning Model-based Explanatory Prognostication in Patients with Multiple Myeloma using Whole-body MRIKento Morita, Shigehiro Karashima, Toshiki Terao, et al.
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