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Issam El Naqa

Showing results (111-120 of 257) with videos related to

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The British Journal of Radiology|July 26, 2023
Interpretable artificial intelligence in radiology and radiation oncologySunan Cui, Alberto Traverso, Dipesh Niraula, et al.
Medical Physics|October 17, 2017
Deep reinforcement learning for automated radiation adaptation in lung cancerHuan-Hsin Tseng, Yi Luo, Sunan Cui, et al.
Medical Physics|August 20, 2021
Combining computed tomography and biologically effective dose in radiomics and deep learning improves prediction of tumor response to robotic lung stereotactic body radiation therapyMichele Avanzo, Vito Gagliardi, Joseph Stancanello, et al.
Medical Physics|April 22, 2018
Ionizing radiation-induced acoustics for radiotherapy and diagnostic radiology applicationsSusannah Hickling, Liangzhong Xiang, Kevin C Jones, et al.
International Journal of Radiation Oncology, Biology, Physics|March 1, 2006
Multivariable modeling of radiotherapy outcomes, including dose-volume and clinical factorsIssam El Naqa, Jeffrey Bradley, Angel I Blanco, et al.
Scientific Reports|December 21, 2017
Image-Guided Fluorescence Endomicroscopy: From Macro- to Micro-Imaging of Radiation-Induced Pulmonary FibrosisJessica R Perez, Norma Ybarra, Frederic Chagnon, et al.
Practical Radiation Oncology|June 17, 2020
National Cancer Institute Workshop on Artificial Intelligence in Radiation Oncology: Training the Next GenerationJohn Kang, Reid F Thompson, Sanjay Aneja, et al.
Medical Physics|March 19, 2009
Deformable registration of abdominal kilovoltage treatment planning CT and tomotherapy daily megavoltage CT for treatment adaptationDeshan Yang, Summer R Chaudhari, S Murty Goddu, et al.
Scientific Reports|January 20, 2017
Tracking of Mesenchymal Stem Cells with Fluorescence Endomicroscopy Imaging in Radiotherapy-Induced Lung InjuryJessica R Perez, Norma Ybarra, Frederic Chagnon, et al.
Laboratory Investigation; a Journal of Technical Methods and Pathology|September 27, 2023
Revolutionizing Digital Pathology With the Power of Generative Artificial Intelligence and Foundation ModelsAsim Waqas, Marilyn M Bui, Eric F Glassy, et al.
Pageof 26

Showing results (111-120 of 257) with videos related to

Sort By:
Pageof 26
The British Journal of Radiology|July 26, 2023
Interpretable artificial intelligence in radiology and radiation oncologySunan Cui, Alberto Traverso, Dipesh Niraula, et al.
Medical Physics|October 17, 2017
Deep reinforcement learning for automated radiation adaptation in lung cancerHuan-Hsin Tseng, Yi Luo, Sunan Cui, et al.
Medical Physics|August 20, 2021
Combining computed tomography and biologically effective dose in radiomics and deep learning improves prediction of tumor response to robotic lung stereotactic body radiation therapyMichele Avanzo, Vito Gagliardi, Joseph Stancanello, et al.
Medical Physics|April 22, 2018
Ionizing radiation-induced acoustics for radiotherapy and diagnostic radiology applicationsSusannah Hickling, Liangzhong Xiang, Kevin C Jones, et al.
International Journal of Radiation Oncology, Biology, Physics|March 1, 2006
Multivariable modeling of radiotherapy outcomes, including dose-volume and clinical factorsIssam El Naqa, Jeffrey Bradley, Angel I Blanco, et al.
Scientific Reports|December 21, 2017
Image-Guided Fluorescence Endomicroscopy: From Macro- to Micro-Imaging of Radiation-Induced Pulmonary FibrosisJessica R Perez, Norma Ybarra, Frederic Chagnon, et al.
Practical Radiation Oncology|June 17, 2020
National Cancer Institute Workshop on Artificial Intelligence in Radiation Oncology: Training the Next GenerationJohn Kang, Reid F Thompson, Sanjay Aneja, et al.
Medical Physics|March 19, 2009
Deformable registration of abdominal kilovoltage treatment planning CT and tomotherapy daily megavoltage CT for treatment adaptationDeshan Yang, Summer R Chaudhari, S Murty Goddu, et al.
Scientific Reports|January 20, 2017
Tracking of Mesenchymal Stem Cells with Fluorescence Endomicroscopy Imaging in Radiotherapy-Induced Lung InjuryJessica R Perez, Norma Ybarra, Frederic Chagnon, et al.
Laboratory Investigation; a Journal of Technical Methods and Pathology|September 27, 2023
Revolutionizing Digital Pathology With the Power of Generative Artificial Intelligence and Foundation ModelsAsim Waqas, Marilyn M Bui, Eric F Glassy, et al.
Pageof 26