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Japanese Journal of Radiology|March 16, 2024
Machine learning approach using <sup>18</sup>F-FDG-PET-radiomic features and the visibility of right ventricle <sup>18</sup>F-FDG uptake for predicting clinical events in patients with cardiac sarcoidosisMasatoyo Nakajo, Daisuke Hirahara, Megumi Jinguji, et al.Cureus|July 31, 2024
Machine Learning Analysis of Predictors for Inhaled Nitric Oxide Therapy Administration Time Post Congenital Heart Disease Surgery: A Single-Center Observational StudyShuhei Niiyama, Takahiro Nakashima, Kentaro Ueno, et al.Journal of X-Ray Science and Technology|April 11, 2023
Radiomics model of diffusion-weighted whole-body imaging with background signal suppression (DWIBS) for predicting axillary lymph node status in breast cancerTakafumi Haraguchi, Yasuyuki Kobayashi, Daisuke Hirahara, et al.The British Journal of Radiology|July 2, 2023
The usefulness of machine-learning-based evaluation of clinical and pretreatment <sup>18</sup>F-FDG-PET/CT radiomic features for predicting prognosis in patients with laryngeal cancerMasatoyo Nakajo, Hiromi Nagano, Megumi Jinguji, et al.The British Journal of Radiology|July 3, 2026
Machine learning models using 18F-FDG PET/CT radiomics for RAS mutation prediction and prognostic stratification in colorectal cancerMasatoyo Nakajo, Daisuke Hirahara, Kenji Baba, et al.Cancers|February 6, 2021
Deep Learning for the Preoperative Diagnosis of Metastatic Cervical Lymph Nodes on Contrast-Enhanced Computed ToMography in Patients with Oral Squamous Cell CarcinomaHayato Tomita, Tsuneo Yamashiro, Joichi Heianna, et al.Japanese Journal of Radiology|September 10, 2024
Applying deep learning-based ensemble model to [<sup>18</sup>F]-FDG-PET-radiomic features for differentiating benign from malignant parotid gland diseasesMasatoyo Nakajo, Daisuke Hirahara, Megumi Jinguji, et al.The Tohoku Journal of Experimental Medicine|July 24, 2024
Impact of Downsampling Size and Interpretation Methods on Diagnostic Accuracy in Deep Learning Model for Breast Cancer Using Digital Breast Tomosynthesis ImagesRyusei Inamori, Tomofumi Kaneno, Ken Oba, et al.Diagnostics (Basel, Switzerland)|April 12, 2025
Predictive Potential of Contrast-Enhanced MRI-Based Delta-Radiomics for Chemoradiation Responsiveness in Muscle-Invasive Bladder CancerKohei Isemoto, Yuma Waseda, Motohiro Fujiwara, et al.Asian Journal of Urology|December 30, 2025
Advancements in artificial intelligence for prostate cancer: Optimizing diagnosis, treatment, and prognostic assessmentYuki Arita, Christian Roest, Thomas C Kwee, et al.Pageof 3