Yujiro Otsuka

Tokyo, Japan

Last Updated: 09/26/2026

Save publications for later

Sign Up

Not sure about your diagnosis?

Check Your Symptoms

Found 22 publications

Brain Amyloid Burden Mapping Using MR Fingerprinting Aided by Deep Learning.

Brain Amyloid Burden Mapping Using MR Fingerprinting Aided by Deep Learning.

Journal: Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine

Published: August 23, 2026

Structure-preserving Image-quality Enhancement for 3D Synthetic FLAIR Using a 3D U-Net with Content and Style Losses.

Structure-preserving Image-quality Enhancement for 3D Synthetic FLAIR Using a 3D U-Net with Content and Style Losses.

Journal: Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine

Published: August 03, 2026

Artificial intelligence-powered evaluation of the pathologic response to preoperative therapy in non-small cell lung cancer.

Artificial intelligence-powered evaluation of the pathologic response to preoperative therapy in non-small cell lung cancer.

Journal: Cancer treatment and research communications

Published: May 26, 2026

Utility of Same-Modality, Cross-Domain Transfer Learning for Malignant Bone Tumor Detection on Radiographs: A Multi-Faceted Performance Comparison with a Scratch-Trained Model.

Utility of Same-Modality, Cross-Domain Transfer Learning for Malignant Bone Tumor Detection on Radiographs: A Multi-Faceted Performance Comparison with a Scratch-Trained Model.

Journal: Cancers

Published: August 26, 2025

Development of a multimodal fully automated ensemble model to predict EGFR mutation and efficacy of EGFR-TKI in non-small cell lung cancer.

Development of a multimodal fully automated ensemble model to predict EGFR mutation and efficacy of EGFR-TKI in non-small cell lung cancer.

Journal: Translational lung cancer research

Published: June 08, 2025

Development and validation of an improved volumetric breast density estimation model using the ResNet technique.

Development and validation of an improved volumetric breast density estimation model using the ResNet technique.

Journal: Biomedical physics & engineering express

Published: January 21, 2025

The Three-Class Annotation Method Improves the AI Detection of Early-Stage Osteosarcoma on Plain Radiographs: A Novel Approach for Rare Cancer Diagnosis.

The Three-Class Annotation Method Improves the AI Detection of Early-Stage Osteosarcoma on Plain Radiographs: A Novel Approach for Rare Cancer Diagnosis.

Journal: Cancers

Published: November 15, 2024

High-quality expert annotations enhance artificial intelligence model accuracy for osteosarcoma X-ray diagnosis.

High-quality expert annotations enhance artificial intelligence model accuracy for osteosarcoma X-ray diagnosis.

Journal: Cancer science

Published: May 16, 2024

Multimodal modeling with low-dose CT and clinical information for diagnostic artificial intelligence on mediastinal tumors: a preliminary study.

Multimodal modeling with low-dose CT and clinical information for diagnostic artificial intelligence on mediastinal tumors: a preliminary study.

Journal: BMJ open respiratory research

Published: December 12, 2023

Accuracy of skull stripping in a single-contrast convolutional neural network model using eight-contrast magnetic resonance images.

Accuracy of skull stripping in a single-contrast convolutional neural network model using eight-contrast magnetic resonance images.

Journal: Radiological physics and technology

Published: March 10, 2023

Noise reduction by multiple path neural network using Attention mechanisms with an emphasis on robustness against Errors: A pilot study on brain Diffusion-Weighted images.

Noise reduction by multiple path neural network using Attention mechanisms with an emphasis on robustness against Errors: A pilot study on brain Diffusion-Weighted images.

Journal: 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)

Published: November 03, 2022

Use of a deep-learning-based lumen extraction method to detect significant stenosis on coronary computed tomography angiography in patients with severe coronary calcification.

Use of a deep-learning-based lumen extraction method to detect significant stenosis on coronary computed tomography angiography in patients with severe coronary calcification.

Journal: The Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology

Published: October 04, 2021

Showing 1-12 of 22

Last Updated: 09/26/2026