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Journal of Orthopaedic Case Reports|September 1, 2023
Simultaneous Bilateral Femoral Neck Fractures in a Pediatric Patient Attributed to Epilepsy Convulsion: A Case ReportTakashi Honjo, Takeshi Okamoto
JBJS Case Connector|April 10, 2026
Pediatric Both-Bone Forearm Fracture with Flexor Digitorum Profundus Entrapment Causing Pseudo-Volkmann Contracture: A Case ReportTakashi Honjo, Tsutomu Shirakawa, Tadashi Yasuda
ACS Catalysis|December 17, 2016
Enantioselective Synthesis of Fluoro-Dihydroquinazolones and -Benzooxazinones by Fluorination-Initiated Asymmetric Cyclization ReactionsKenichi Hiramatsu, Takashi Honjo, Vivek Rauniyar, et al.
Scientific Reports|January 15, 2022
Deep learning-based algorithm for lung cancer detection on chest radiographs using the segmentation methodAkitoshi Shimazaki, Daiju Ueda, Antoine Choppin, et al.
Organic Letters|January 26, 2007
Nonenzymatic enantioselective monoacetylation of prochiral 2-protectedamino-2-alkyl-1,3-propanediols utilizing a chiral sulfonamide-Zn complex catalystTakashi Honjo, Michiyasu Nakao, Shigeki Sano, et al.
Endocrine Journal|June 8, 2012
Investigation of iodine deficient state and iodine supplementation in patients with severe motor and intellectual disabilities on long-term total enteral nutritionTakako Takeuchi, Hotaka Kamasaki, Yuko Yoto, et al.
Cureus|April 7, 2026
MRI Findings of Ovarian Carcinosarcoma: A Retrospective Comparison With Endometrioid CarcinomaAkane Tashiro, Tomohisa Okuma, Taiki Yamaguchi, et al.
JCO Precision Oncology|January 7, 2022
Training, Validation, and Test of Deep Learning Models for Classification of Receptor Expressions in Breast Cancers From MammogramsDaiju Ueda, Akira Yamamoto, Tsutomu Takashima, et al.
European Journal of Radiology|July 14, 2022
Visual and quantitative evaluation of microcalcifications in mammograms with deep learning-based super-resolutionTakashi Honjo, Daiju Ueda, Yutaka Katayama, et al.
Japanese Journal of Radiology|November 17, 2020
Visualizing "featureless" regions on mammograms classified as invasive ductal carcinomas by a deep learning algorithm: the promise of AI support in radiologyDaiju Ueda, Akira Yamamoto, Tsutomu Takashima, et al.
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