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JCO Clinical Cancer Informatics
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April 14, 2026
Performance of an Artificial Intelligence Foundation Model for Prostate Radiotherapy Segmentation
Matthew Doucette, Chien-Yi Liao, Mu-Han Lin, et al.
Physics in Medicine and Biology
|
December 8, 2018
Fully automated organ segmentation in male pelvic CT images
Anjali Balagopal, Samaneh Kazemifar, Dan Nguyen, et al.
Physics in Medicine and Biology
|
February 1, 2019
3D radiotherapy dose prediction on head and neck cancer patients with a hierarchically densely connected U-net deep learning architecture
Dan Nguyen, Xun Jia, David Sher, et al.
Medical Dosimetry : Official Journal of the American Association of Medical Dosimetrists
|
July 25, 2015
Cardiac dosimetric evaluation of deep inspiration breath-hold level variances using computed tomography scans generated from deformable image registration displacement vectors
Taylor Harry, Doug Rahn, Denis Semenov, et al.
Frontiers in Oncology
|
January 22, 2016
The Role of Hypofractionated Radiation Therapy with Photons, Protons, and Heavy Ions for Treating Extracranial Lesions
Aaron Michael Laine, Arnold Pompos, Robert Timmerman, et al.
Journal of Theoretical Biology
|
October 24, 2024
PULSAR Effect: Revealing potential synergies in combined radiation therapy and immunotherapy via differential equations
Samiha Rouf, Casey Moore, Debabrata Saha, et al.
Cureus
|
June 10, 2024
Utilizing Large Language Models for Enhanced Clinical Trial Matching: A Study on Automation in Patient Screening
Jacob Beattie, Sarah Neufeld, Daniel Yang, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology
|
April 25, 2019
MRI-only brain radiotherapy: Assessing the dosimetric accuracy of synthetic CT images generated using a deep learning approach
Samaneh Kazemifar, Sarah McGuire, Robert Timmerman, et al.
Physics in Medicine and Biology
|
March 18, 2015
A new Monte Carlo-based treatment plan optimization approach for intensity modulated radiation therapy
Yongbao Li, Zhen Tian, Feng Shi, et al.
Physics in Medicine and Biology
|
January 27, 2021
A comparison of Monte Carlo dropout and bootstrap aggregation on the performance and uncertainty estimation in radiation therapy dose prediction with deep learning neural networks
Dan Nguyen, Azar Sadeghnejad Barkousaraie, Gyanendra Bohara, et al.
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of 14
Search research articles
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Showing results (51-60 of 137) with videos related to
Sort By:
Page
of 14
JCO Clinical Cancer Informatics
|
April 14, 2026
Performance of an Artificial Intelligence Foundation Model for Prostate Radiotherapy Segmentation
Matthew Doucette, Chien-Yi Liao, Mu-Han Lin, et al.
Physics in Medicine and Biology
|
December 8, 2018
Fully automated organ segmentation in male pelvic CT images
Anjali Balagopal, Samaneh Kazemifar, Dan Nguyen, et al.
Physics in Medicine and Biology
|
February 1, 2019
3D radiotherapy dose prediction on head and neck cancer patients with a hierarchically densely connected U-net deep learning architecture
Dan Nguyen, Xun Jia, David Sher, et al.
Medical Dosimetry : Official Journal of the American Association of Medical Dosimetrists
|
July 25, 2015
Cardiac dosimetric evaluation of deep inspiration breath-hold level variances using computed tomography scans generated from deformable image registration displacement vectors
Taylor Harry, Doug Rahn, Denis Semenov, et al.
Frontiers in Oncology
|
January 22, 2016
The Role of Hypofractionated Radiation Therapy with Photons, Protons, and Heavy Ions for Treating Extracranial Lesions
Aaron Michael Laine, Arnold Pompos, Robert Timmerman, et al.
Journal of Theoretical Biology
|
October 24, 2024
PULSAR Effect: Revealing potential synergies in combined radiation therapy and immunotherapy via differential equations
Samiha Rouf, Casey Moore, Debabrata Saha, et al.
Cureus
|
June 10, 2024
Utilizing Large Language Models for Enhanced Clinical Trial Matching: A Study on Automation in Patient Screening
Jacob Beattie, Sarah Neufeld, Daniel Yang, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology
|
April 25, 2019
MRI-only brain radiotherapy: Assessing the dosimetric accuracy of synthetic CT images generated using a deep learning approach
Samaneh Kazemifar, Sarah McGuire, Robert Timmerman, et al.
Physics in Medicine and Biology
|
March 18, 2015
A new Monte Carlo-based treatment plan optimization approach for intensity modulated radiation therapy
Yongbao Li, Zhen Tian, Feng Shi, et al.
Physics in Medicine and Biology
|
January 27, 2021
A comparison of Monte Carlo dropout and bootstrap aggregation on the performance and uncertainty estimation in radiation therapy dose prediction with deep learning neural networks
Dan Nguyen, Azar Sadeghnejad Barkousaraie, Gyanendra Bohara, et al.
Page
of 14