フォロー
Daisuke Hirahara
Daisuke Hirahara
Harada Academy, St. Marianna University School of Medicine,
確認したメール アドレス: harada-gakuen.ac.jp
タイトル
引用先
引用先
Application of a Machine Learning Approach for the Analysis of Clinical and Radiomic Features of Pretreatment [18F]-FDG PET/CT to Predict Prognosis of Patients …
M Nakajo, M Jinguji, A Tani, H Kikuno, D Hirahara, S Togami, ...
Molecular Imaging and Biology 23, 756-765, 2021
272021
Deep learning for the preoperative diagnosis of metastatic cervical lymph nodes on contrast-enhanced computed tomography in patients with oral squamous cell carcinoma
H Tomita, T Yamashiro, J Heianna, T Nakasone, T Kobayashi, S Mishiro, ...
Cancers 13 (4), 600, 2021
262021
Machine learning based evaluation of clinical and pretreatment 18F-FDG-PET/CT radiomic features to predict prognosis of cervical cancer patients
M Nakajo, M Jinguji, A Tani, E Yano, CK Hoo, D Hirahara, S Togami, ...
Abdominal Radiology, 1-10, 2022
182022
Effect of the pixel interpolation method for downsampling medical images on deep learning accuracy
D Hirahara, E Takaya, M Kadowaki, Y Kobayashi, T Ueda
Journal of Computer and Communications 9 (11), 150-156, 2021
182021
Effects of data count and image scaling on deep learning training
D Hirahara, E Takaya, T Takahara, T Ueda
PeerJ Computer Science 6, e312, 2020
162020
Preliminary assessment for the development of CADe system for brain tumor in MRI images utilizing transfer learning in Xception model
D Hirahara
2019 IEEE 8th Global Conference on Consumer Electronics (GCCE), 922-924, 2019
142019
The usefulness of machine-learning-based evaluation of clinical and pretreatment 18F-FDG-PET/CT radiomic features for predicting prognosis in patients with …
M Nakajo, H Nagano, M Jinguji, Y Kamimura, K Masuda, K Takumi, ...
The British Journal of Radiology 96 (1149), 20220772, 2023
72023
Application of a machine learning approach to characterization of liver function using 99mTc-GSA SPECT/CT
M Nakajo, M Jinguji, A Tani, D Hirahara, H Nagano, K Takumi, T Yoshiura
Abdominal Radiology 46, 3184-3192, 2021
72021
Deep learning approach of diffusion-weighted imaging as an outcome predictor in laryngeal and hypopharyngeal cancer patients with radiotherapy-related curative treatment: a …
H Tomita, T Kobayashi, E Takaya, S Mishiro, D Hirahara, A Fujikawa, ...
European Radiology 32 (8), 5353-5361, 2022
52022
Application of Machine Learning Analyses Using Clinical and [18F]-FDG-PET/CT Radiomic Characteristics to Predict Recurrence in Patients with Breast Cancer
K Kawaji, M Nakajo, Y Shinden, M Jinguji, A Tani, D Hirahara, I Kitazono, ...
Molecular Imaging and Biology 25 (5), 923-934, 2023
22023
Fundamental study on preliminary image processing at time development of CNN using chest radiography
D Hirahara, E Yuda, T Takahara, Y Kobayashi
2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech …, 2019
22019
Radiomics model of diffusion-weighted whole-body imaging with background signal suppression (DWIBS) for predicting axillary lymph node status in breast cancer
T Haraguchi, Y Kobayashi, D Hirahara, T Kobayashi, E Takaya, MT Nagai, ...
J. Xray Sci. Technol 31, 627-640, 2023
12023
Deep Learning for the Preoperative Diagnosis of Metastatic Cervical Lymph Nodes on Contrast-Enhanced Computed ToMography in Patients with Oral Squamous Cell Carcinoma., 2021 …
H Tomita, T Yamashiro, J Heianna, T Nakasone, T Kobayashi, S Mishiro, ...
DOI: https://doi. org/10.3390/cancers13040600, 2021
12021
Machine learning approach using 18F-FDG-PET-radiomic features and the visibility of right ventricle 18F-FDG uptake for predicting clinical events in patients with cardiac …
M Nakajo, D Hirahara, M Jinguji, S Ojima, M Hirahara, A Tani, K Takumi, ...
Japanese Journal of Radiology, 1-9, 2024
2024
All-in-one platform for AI R&D in medical imaging, encompassing data collection, selection, annotation, and pre-processing
C Han, K Shibano, W Ozaki, K Osaki, T Haraguchi, D Hirahara, S Kimura, ...
arXiv preprint arXiv:2403.06145, 2024
2024
PD22-04 USEFULNESS OF DELTA-RADIOMICS APPLIED TO CONTRAST-AND NON-ENHANCED MRI FOR PREDICTING THERAPEUTIC EFFICACY IN MUSCLE-INVASIVE BLADDER CANCER
K Isemoto, Y Waseda, M Fujiwara, K Kimura, D Hirahara, T Saho, ...
The Journal of Urology 209 (Supplement 4), e665, 2023
2023
The Fundamentals of Diffusion Weighted Imaging (DWI) in the Mammary Region and Its Application to Artificial Intelligence (AI)
D Hirahara
Nihon Hoshasen Gijutsu Gakkai zasshi 79 (11), 1310-1317, 2023
2023
Discrimination between Cynomolgus Monkey (Macaca Fascicularis) and Humans using Machine Learning and Heart Rate Variability Indices
I Kaneko, D Hirahara, J Hayano, OM Mozos, E Yuda
2022 World Automation Congress (WAC), 297-300, 2022
2022
Classification and discriminability of heart rate variability indices in monkeys and humans using machine learning
I Kaneko, D Hirahara, J Hayano, E Yuda
IEICE Technical Report; IEICE Tech. Rep. 121 (389), 55-55, 2022
2022
A Predictive Model for the Success of Endoscopic Combined Intrarenal Surgery by Machine Learning Using Medical Record Information and Diagnostic Image Findings
M Haraoka, E Takaya, T Kobayashi, T Haraguchi, D Hirahara, ...
Journal of St. Marianna University 13 (2), 101-111, 2022
2022
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