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Yohan Kondo

Showing results (21-30 of 26) with videos related to

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Journal of X-Ray Science and Technology|June 29, 2024
Auto-evaluation of skull radiograph accuracy using unsupervised anomaly detectionHaruyuki Watanabe, Yuina Ezawa, Eri Matsuyama, et al.
Biomedical Physics & Engineering Express|July 10, 2025
Recurrence prediction of invasive ductal carcinoma from preoperative contrast-enhanced computed tomography using deep convolutional neural networkManami Umezu, Yohan Kondo, Shota Ichikawa, et al.
BMC Musculoskeletal Disorders|June 24, 2022
A deep convolutional neural network to predict the curve progression of adolescent idiopathic scoliosis: a pilot studyYasuhito Yahara, Manami Tamura, Shoji Seki, et al.
Journal of Clinical Medicine|October 29, 2025
Development and Validation of Transformer- and Convolutional Neural Network-Based Deep Learning Models to Predict Curve Progression in Adolescent Idiopathic ScoliosisShinji Takahashi, Shota Ichikawa, Kei Watanabe, et al.
Biomedical Physics & Engineering Express|June 21, 2022
Utility of U-Net for the objective segmentation of the fibroglandular tissue region on clinical digital mammogramsMika Yamamuro, Yoshiyuki Asai, Naomi Hashimoto, et al.
Sensors (Basel, Switzerland)|February 10, 2021
Traceable Reference Full Metrology Chain for Innovative Aspheric and Freeform Optical Surfaces Accurate at the Nanometer LevelYassir Arezki, Rong Su, Ville Heikkinen, et al.
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Showing results (21-30 of 26) with videos related to

Sort By:
Pageof 3
You have reached the last page of results.This site can display upto 26 results.
Journal of X-Ray Science and Technology|June 29, 2024
Auto-evaluation of skull radiograph accuracy using unsupervised anomaly detectionHaruyuki Watanabe, Yuina Ezawa, Eri Matsuyama, et al.
Biomedical Physics & Engineering Express|July 10, 2025
Recurrence prediction of invasive ductal carcinoma from preoperative contrast-enhanced computed tomography using deep convolutional neural networkManami Umezu, Yohan Kondo, Shota Ichikawa, et al.
BMC Musculoskeletal Disorders|June 24, 2022
A deep convolutional neural network to predict the curve progression of adolescent idiopathic scoliosis: a pilot studyYasuhito Yahara, Manami Tamura, Shoji Seki, et al.
Journal of Clinical Medicine|October 29, 2025
Development and Validation of Transformer- and Convolutional Neural Network-Based Deep Learning Models to Predict Curve Progression in Adolescent Idiopathic ScoliosisShinji Takahashi, Shota Ichikawa, Kei Watanabe, et al.
Biomedical Physics & Engineering Express|June 21, 2022
Utility of U-Net for the objective segmentation of the fibroglandular tissue region on clinical digital mammogramsMika Yamamuro, Yoshiyuki Asai, Naomi Hashimoto, et al.
Sensors (Basel, Switzerland)|February 10, 2021
Traceable Reference Full Metrology Chain for Innovative Aspheric and Freeform Optical Surfaces Accurate at the Nanometer LevelYassir Arezki, Rong Su, Ville Heikkinen, et al.
Pageof 3