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Sarah A Mattonen

Showing results (11-20 of 28) with videos related to

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Scientific Reports|February 14, 2024
Distinguishing recurrence from radiation-induced lung injury at the time of RECIST progressive disease on post-SABR CT scans using radiomicsSalma Dammak, Stephanie Gulstene, David A Palma, et al.
Canadian Association of Radiologists Journal = Journal L'Association Canadienne Des Radiologistes|August 1, 2020
Artificial Intelligence in Lung Cancer: Bridging the Gap Between Computational Power and Clinical Decision-MakingJaryd R Christie, Pencilla Lang, Lauren M Zelko, et al.
Journal of Medical Imaging (Bellingham, Wash.)|February 3, 2016
Imaging texture analysis for automated prediction of lung cancer recurrence after stereotactic radiotherapySarah A Mattonen, Shyama Tetar, David A Palma, et al.
Plos One|November 28, 2022
Sarcopenia in head and neck cancer: A scoping reviewNedeljko Jovanovic, Tricia Chinnery, Sarah A Mattonen, et al.
International Journal of Radiation Oncology, Biology, Physics|August 18, 2024
Predicting the 3-Dimensional Dose Distribution of Multilesion Lung Stereotactic Ablative Radiation Therapy With Generative Adversarial NetworksEdward Wang, Hassan Abdallah, Jonatan Snir, et al.
Medical Physics|May 18, 2020
Machine and deep learning methods for radiomicsMichele Avanzo, Lise Wei, Joseph Stancanello, et al.
Canadian Association of Radiologists Journal = Journal L'Association Canadienne Des Radiologistes|August 1, 2020
Utilizing Artificial Intelligence for Head and Neck Cancer Outcomes Prediction From ImagingTricia Chinnery, Andrew Arifin, Keng Yeow Tay, et al.
Scientific Reports|December 19, 2025
Assessing clinician performance using a multi-modality clinical decision-support system for lung cancer prognosticationJaryd R Christie, Karen Eddy, Richard A Malthaner, et al.
Tomography (Ann Arbor, Mich.)|March 12, 2019
[18F] FDG Positron Emission Tomography (PET) Tumor and Penumbra Imaging Features Predict Recurrence in Non-Small Cell Lung CancerSarah A Mattonen, Guido A Davidzon, Shaimaa Bakr, et al.
Radiology|September 19, 2019
Bone Marrow and Tumor Radiomics at <sup>18</sup>F-FDG PET/CT: Impact on Outcome Prediction in Non-Small Cell Lung CancerSarah A Mattonen, Guido A Davidzon, Jalen Benson, et al.
Pageof 3

Showing results (11-20 of 28) with videos related to

Sort By:
Pageof 3
Scientific Reports|February 14, 2024
Distinguishing recurrence from radiation-induced lung injury at the time of RECIST progressive disease on post-SABR CT scans using radiomicsSalma Dammak, Stephanie Gulstene, David A Palma, et al.
Canadian Association of Radiologists Journal = Journal L'Association Canadienne Des Radiologistes|August 1, 2020
Artificial Intelligence in Lung Cancer: Bridging the Gap Between Computational Power and Clinical Decision-MakingJaryd R Christie, Pencilla Lang, Lauren M Zelko, et al.
Journal of Medical Imaging (Bellingham, Wash.)|February 3, 2016
Imaging texture analysis for automated prediction of lung cancer recurrence after stereotactic radiotherapySarah A Mattonen, Shyama Tetar, David A Palma, et al.
Plos One|November 28, 2022
Sarcopenia in head and neck cancer: A scoping reviewNedeljko Jovanovic, Tricia Chinnery, Sarah A Mattonen, et al.
International Journal of Radiation Oncology, Biology, Physics|August 18, 2024
Predicting the 3-Dimensional Dose Distribution of Multilesion Lung Stereotactic Ablative Radiation Therapy With Generative Adversarial NetworksEdward Wang, Hassan Abdallah, Jonatan Snir, et al.
Medical Physics|May 18, 2020
Machine and deep learning methods for radiomicsMichele Avanzo, Lise Wei, Joseph Stancanello, et al.
Canadian Association of Radiologists Journal = Journal L'Association Canadienne Des Radiologistes|August 1, 2020
Utilizing Artificial Intelligence for Head and Neck Cancer Outcomes Prediction From ImagingTricia Chinnery, Andrew Arifin, Keng Yeow Tay, et al.
Scientific Reports|December 19, 2025
Assessing clinician performance using a multi-modality clinical decision-support system for lung cancer prognosticationJaryd R Christie, Karen Eddy, Richard A Malthaner, et al.
Tomography (Ann Arbor, Mich.)|March 12, 2019
[18F] FDG Positron Emission Tomography (PET) Tumor and Penumbra Imaging Features Predict Recurrence in Non-Small Cell Lung CancerSarah A Mattonen, Guido A Davidzon, Shaimaa Bakr, et al.
Radiology|September 19, 2019
Bone Marrow and Tumor Radiomics at <sup>18</sup>F-FDG PET/CT: Impact on Outcome Prediction in Non-Small Cell Lung CancerSarah A Mattonen, Guido A Davidzon, Jalen Benson, et al.
Pageof 3