Daisuke Hirahara

Kagoshima, 8910133, Japan

Last Updated: 09/26/2026

Save publications for later

Sign Up

Not sure about your diagnosis?

Check Your Symptoms

Found 26 publications

Development and Evaluation of a Urinary Na/K Ratio Prediction Model: A Systematic Comparison from Attention-Based Deep Learning to Classical Ensemble Approaches.

Development and Evaluation of a Urinary Na/K Ratio Prediction Model: A Systematic Comparison from Attention-Based Deep Learning to Classical Ensemble Approaches.

Journal: Bioengineering (Basel, Switzerland)

Published: January 18, 2026

Machine learning models using 18F-FDG PET/CT radiomics for RAS mutation prediction and prognostic stratification in colorectal cancer.

Machine learning models using 18F-FDG PET/CT radiomics for RAS mutation prediction and prognostic stratification in colorectal cancer.

Journal: The British journal of radiology

Published: January 13, 2026

Electron Density and Effective Atomic Number as Quantitative Biomarkers for Differentiating Malignant Brain Tumors: An Exploratory Study with Machine Learning.

Electron Density and Effective Atomic Number as Quantitative Biomarkers for Differentiating Malignant Brain Tumors: An Exploratory Study with Machine Learning.

Journal: Tomography (Ann Arbor, Mich.)

Published: September 10, 2025

Time-dependent diffusion-weighted imaging assessment of tumor grading and isocitrate dehydrogenase genotypes in adult-type diffuse gliomas.

Time-dependent diffusion-weighted imaging assessment of tumor grading and isocitrate dehydrogenase genotypes in adult-type diffuse gliomas.

Journal: Japanese journal of radiology

Published: September 10, 2025

Development and Evaluation of a Virtual Reality-Based Teaching Material for Interprofessional Education: A Case Study on Swallowing Videofluorography.

Development and Evaluation of a Virtual Reality-Based Teaching Material for Interprofessional Education: A Case Study on Swallowing Videofluorography.

Journal: Japanese journal of comprehensive rehabilitation science

Published: July 02, 2025

Artificial intelligence in oncological positron emission tomography: advancing image analysis and interpretation.

Artificial intelligence in oncological positron emission tomography: advancing image analysis and interpretation.

Journal: Clinical radiology

Published: May 07, 2025

Predictive Potential of Contrast-Enhanced MRI-Based Delta-Radiomics for Chemoradiation Responsiveness in Muscle-Invasive Bladder Cancer.

Predictive Potential of Contrast-Enhanced MRI-Based Delta-Radiomics for Chemoradiation Responsiveness in Muscle-Invasive Bladder Cancer.

Journal: Diagnostics (Basel, Switzerland)

Published: February 24, 2025

Machine learning-based prognostic modeling in gallbladder cancer using clinical data and pre-treatment [18F]-FDG-PET-radiomic features.

Machine learning-based prognostic modeling in gallbladder cancer using clinical data and pre-treatment [18F]-FDG-PET-radiomic features.

Journal: Japanese journal of radiology

Published: September 26, 2024

Monitoring prostate cancer after low-dose-rate hemigland brachytherapy with delta-radiomics of diffusion-weighted magnetic resonance imaging.

Monitoring prostate cancer after low-dose-rate hemigland brachytherapy with delta-radiomics of diffusion-weighted magnetic resonance imaging.

Journal: International journal of urology : official journal of the Japanese Urological Association

Published: September 11, 2024

Machine Learning Analysis of Predictors for Inhaled Nitric Oxide Therapy Administration Time Post Congenital Heart Disease Surgery: A Single-Center Observational Study.

Machine Learning Analysis of Predictors for Inhaled Nitric Oxide Therapy Administration Time Post Congenital Heart Disease Surgery: A Single-Center Observational Study.

Journal: Cureus

Published: July 30, 2024

Impact of Downsampling Size and Interpretation Methods on Diagnostic Accuracy in Deep Learning Model for Breast Cancer Using Digital Breast Tomosynthesis Images.

Impact of Downsampling Size and Interpretation Methods on Diagnostic Accuracy in Deep Learning Model for Breast Cancer Using Digital Breast Tomosynthesis Images.

Journal: The Tohoku journal of experimental medicine

Published: July 24, 2024

Applying deep learning-based ensemble model to [18F]-FDG-PET-radiomic features for differentiating benign from malignant parotid gland diseases.

Applying deep learning-based ensemble model to [18F]-FDG-PET-radiomic features for differentiating benign from malignant parotid gland diseases.

Journal: Japanese journal of radiology

Published: July 19, 2024

Showing 1-12 of 26

Last Updated: 09/26/2026