Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Majd Barham

Showing results (1-10 of 16) with videos related to

Pageof 2
Sort By:
Imaging Science in Dentistry|April 7, 2022
Influence of mesiodens on adjacent teeth and the timing of its safe removalMajd Barham, Shunsuke Okada, Miki Hisatomi, et al.
Molecular Medicine Reports|September 17, 2019
Development of a novel method for visualizing restricted diffusion using subtraction of apparent diffusion coefficient valuesYuuki Yoshimura, Masahiro Kuroda, Irfan Sugianto, et al.
Oncology Letters|October 1, 2021
Dynamic contrast-enhanced MRI as a predictor of programmed death ligand-1 expression in patients with oral squamous cell carcinomaNouha Tekiki, Mariko Fujita, Tatsuo Okui, et al.
Current Oncology (Toronto, Ont.)|August 25, 2023
Mean Heart Dose Prediction Using Parameters of Single-Slice Computed Tomography and Body Mass Index: Machine Learning Approach for Radiotherapy of Left-Sided Breast Cancer of Asian PatientsWlla E Al-Hammad, Masahiro Kuroda, Ryo Kamizaki, et al.
Acta Medica Okayama|March 3, 2022
Development and Evaluation of a Short-time Imaging Method for the Clinical Study of the Apparent Diffusion Coefficient Subtraction MethodKohei Sugimoto, Masahiro Kuroda, Yuuki Yoshimura, et al.
Biomedical Reports|October 21, 2020
Development of a novel phantom using polyethylene glycol for the visualization of restricted diffusion in diffusion kurtosis imaging and apparent diffusion coefficient subtraction methodAbdullah Khasawneh, Masahiro Kuroda, Yuuki Yoshimura, et al.
Acta Medica Okayama|May 6, 2021
Evaluation of the Imaging Process for a Novel Subtraction Method Using Apparent Diffusion Coefficient ValuesKentaro Hamada, Masahiro Kuroda, Yuuki Yoshimura, et al.
Experimental and Therapeutic Medicine|October 23, 2023
Evaluation of the accuracy of heart dose prediction by machine learning for selecting patients not requiring deep inspiration breath‑hold radiotherapy after breast cancer surgeryRyo Kamizaki, Masahiro Kuroda, Wlla E Al-Hammad, et al.
Molecular and Clinical Oncology|August 5, 2021
New field-in-field with two reference points method for whole breast radiotherapy: Dosimetric analysis and radiation-induced skin toxicities assessmentNouha Tekiki, Masahiro Kuroda, Hinata Ishizaka, et al.
Diagnostics (Basel, Switzerland)|March 28, 2025
Robustness of Machine Learning Predictions for Determining Whether Deep Inspiration Breath-Hold Is Required in Breast Cancer Radiation TherapyWlla E Al-Hammad, Masahiro Kuroda, Ghaida Al Jamal, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
Imaging Science in Dentistry|April 7, 2022
Influence of mesiodens on adjacent teeth and the timing of its safe removalMajd Barham, Shunsuke Okada, Miki Hisatomi, et al.
Molecular Medicine Reports|September 17, 2019
Development of a novel method for visualizing restricted diffusion using subtraction of apparent diffusion coefficient valuesYuuki Yoshimura, Masahiro Kuroda, Irfan Sugianto, et al.
Oncology Letters|October 1, 2021
Dynamic contrast-enhanced MRI as a predictor of programmed death ligand-1 expression in patients with oral squamous cell carcinomaNouha Tekiki, Mariko Fujita, Tatsuo Okui, et al.
Current Oncology (Toronto, Ont.)|August 25, 2023
Mean Heart Dose Prediction Using Parameters of Single-Slice Computed Tomography and Body Mass Index: Machine Learning Approach for Radiotherapy of Left-Sided Breast Cancer of Asian PatientsWlla E Al-Hammad, Masahiro Kuroda, Ryo Kamizaki, et al.
Acta Medica Okayama|March 3, 2022
Development and Evaluation of a Short-time Imaging Method for the Clinical Study of the Apparent Diffusion Coefficient Subtraction MethodKohei Sugimoto, Masahiro Kuroda, Yuuki Yoshimura, et al.
Biomedical Reports|October 21, 2020
Development of a novel phantom using polyethylene glycol for the visualization of restricted diffusion in diffusion kurtosis imaging and apparent diffusion coefficient subtraction methodAbdullah Khasawneh, Masahiro Kuroda, Yuuki Yoshimura, et al.
Acta Medica Okayama|May 6, 2021
Evaluation of the Imaging Process for a Novel Subtraction Method Using Apparent Diffusion Coefficient ValuesKentaro Hamada, Masahiro Kuroda, Yuuki Yoshimura, et al.
Experimental and Therapeutic Medicine|October 23, 2023
Evaluation of the accuracy of heart dose prediction by machine learning for selecting patients not requiring deep inspiration breath‑hold radiotherapy after breast cancer surgeryRyo Kamizaki, Masahiro Kuroda, Wlla E Al-Hammad, et al.
Molecular and Clinical Oncology|August 5, 2021
New field-in-field with two reference points method for whole breast radiotherapy: Dosimetric analysis and radiation-induced skin toxicities assessmentNouha Tekiki, Masahiro Kuroda, Hinata Ishizaka, et al.
Diagnostics (Basel, Switzerland)|March 28, 2025
Robustness of Machine Learning Predictions for Determining Whether Deep Inspiration Breath-Hold Is Required in Breast Cancer Radiation TherapyWlla E Al-Hammad, Masahiro Kuroda, Ghaida Al Jamal, et al.
Pageof 2