Artificial intelligence and machine learning for medical imaging: A technology review
Barragán-Montero, Ana, Javaid, Umair, Valdés, Gilmer, Nguyen, Dan, Desbordes, Paul, Macq, Benoit, Willems, Siri, Vandewinckele, Liesbeth, Holmström, Mats, Löfman, Fredrik, Michiels, Steven, Souris, Kevin, Sterpin, Edmond, Lee, John A.
Published in Physica medica (01.03.2021)
Published in Physica medica (01.03.2021)
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Journal Article
Towards a safe and efficient clinical implementation of machine learning in radiation oncology by exploring model interpretability, explainability and data-model dependency
Barragán-Montero, Ana, Bibal, Adrien, Dastarac, Margerie Huet, Draguet, Camille, Valdés, Gilmer, Nguyen, Dan, Willems, Siri, Vandewinckele, Liesbeth, Holmström, Mats, Löfman, Fredrik, Souris, Kevin, Sterpin, Edmond, Lee, John A
Published in Physics in medicine & biology (27.05.2022)
Published in Physics in medicine & biology (27.05.2022)
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Journal Article
Targeted transfer learning to improve performance in small medical physics datasets
Romero, Miguel, Interian, Yannet, Solberg, Timothy, Valdes, Gilmer
Published in Medical physics (Lancaster) (01.12.2020)
Published in Medical physics (Lancaster) (01.12.2020)
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Journal Article
Deep nets vs expert designed features in medical physics: An IMRT QA case study
Interian, Yannet, Rideout, Vincent, Kearney, Vasant P, Gennatas, Efstathios, Morin, Olivier, Cheung, Joey, Solberg, Timothy, Valdes, Gilmer
Published in Medical physics (Lancaster) (01.06.2018)
Published in Medical physics (Lancaster) (01.06.2018)
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Journal Article
Integration of AI and Machine Learning in Radiotherapy QA
Chan, Maria F, Witztum, Alon, Valdes, Gilmer
Published in Frontiers in artificial intelligence (29.09.2020)
Published in Frontiers in artificial intelligence (29.09.2020)
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Journal Article
Machine Learning in Radiation Oncology: Opportunities, Requirements, and Needs
Feng, Mary, Valdes, Gilmer, Dixit, Nayha, Solberg, Timothy D
Published in Frontiers in oncology (17.04.2018)
Published in Frontiers in oncology (17.04.2018)
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Journal Article
Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers
Deist, Timo M., Dankers, Frank J. W. M., Valdes, Gilmer, Wijsman, Robin, Hsu, I‐Chow, Oberije, Cary, Lustberg, Tim, Soest, Johan, Hoebers, Frank, Jochems, Arthur, El Naqa, Issam, Wee, Leonard, Morin, Olivier, Raleigh, David R., Bots, Wouter, Kaanders, Johannes H., Belderbos, José, Kwint, Margriet, Solberg, Timothy, Monshouwer, René, Bussink, Johan, Dekker, Andre, Lambin, Philippe
Published in Medical physics (Lancaster) (01.07.2018)
Published in Medical physics (Lancaster) (01.07.2018)
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Journal Article
IMRT QA using machine learning: A multi‐institutional validation
Valdes, Gilmer, Chan, Maria F., Lim, Seng Boh, Scheuermann, Ryan, Deasy, Joseph O., Solberg, Timothy D.
Published in Journal of applied clinical medical physics (01.09.2017)
Published in Journal of applied clinical medical physics (01.09.2017)
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Journal Article
Predicting radiation pneumonitis in locally advanced stage II–III non-small cell lung cancer using machine learning
Luna, José Marcio, Chao, Hann-Hsiang, Diffenderfer, Eric S., Valdes, Gilmer, Chinniah, Chidambaram, Ma, Grace, Cengel, Keith A., Solberg, Timothy D., Berman, Abigail T., Simone, Charles B.
Published in Radiotherapy and oncology (01.04.2019)
Published in Radiotherapy and oncology (01.04.2019)
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Journal Article
Preoperative and postoperative prediction of long-term meningioma outcomes
Gennatas, Efstathios D, Wu, Ashley, Braunstein, Steve E, Morin, Olivier, Chen, William C, Magill, Stephen T, Gopinath, Chetna, Villaneueva-Meyer, Javier E, Perry, Arie, McDermott, Michael W, Solberg, Timothy D, Valdes, Gilmer, Raleigh, David R
Published in PloS one (20.09.2018)
Published in PloS one (20.09.2018)
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Journal Article
Integrated models incorporating radiologic and radiomic features predict meningioma grade, local failure, and overall survival
Morin, Olivier, Chen, William C, Nassiri, Farshad, Susko, Matthew, Magill, Stephen T, Vasudevan, Harish N, Wu, Ashley, Vallières, Martin, Gennatas, Efstathios D, Valdes, Gilmer, Pekmezci, Melike, Alcaide-Leon, Paula, Choudhury, Abrar, Interian, Yannet, Mortezavi, Siavash, Turgutlu, Kerem, Bush, Nancy Ann Oberheim, Solberg, Timothy D, Braunstein, Steve E, Sneed, Penny K, Perry, Arie, Zadeh, Gelareh, McDermott, Michael W, Villanueva-Meyer, Javier E, Raleigh, David R
Published in Neuro-oncology advances (01.05.2019)
Published in Neuro-oncology advances (01.05.2019)
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Journal Article
A situational awareness Bayesian network approach for accurate and credible personalized adaptive radiotherapy outcomes prediction in lung cancer patients
Luo, Yi, Jolly, Shruti, Palma, David, Lawrence, Theodore S., Tseng, Huan-Hsin, Valdes, Gilmer, McShan, Daniel, Ten Haken, Randall K., El Naqa, Issam
Published in Physica medica (01.07.2021)
Published in Physica medica (01.07.2021)
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Journal Article
Artificial Intelligence-Guided Prediction of Dental Doses Before Planning of Radiation Therapy for Oropharyngeal Cancer: Technical Development and Initial Feasibility of Implementation
Chan, Jason W., Hohenstein, Nicole, Carpenter, Colin, Pattison, Adam J., Morin, Olivier, Valdes, Gilmer, Sanchez, Cristina Tolentino, Perkins, Jennifer, Solberg, Timothy D., Yom, Sue S.
Published in Advances in radiation oncology (01.03.2022)
Published in Advances in radiation oncology (01.03.2022)
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Journal Article
Tumor control probability and the utility of 4D vs 3D dose calculations for stereotactic body radiotherapy for lung cancer
Valdes, Gilmer, Robinson, Clifford, Lee, Percy, Morel, Delphine, Low, Daniel, Iwamoto, Keisuke S, Lamb, James M
Published in Medical dosimetry : official journal of the American Association of Medical Dosimetrists (2015)
Published in Medical dosimetry : official journal of the American Association of Medical Dosimetrists (2015)
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Journal Article
A unified path seeking algorithm for IMRT and IMPT beam orientation optimization
Ramesh, Pavitra, Valdes, Gilmer, O’Connor, Daniel, Sheng, Ke
Published in Physics in medicine & biology (07.10.2023)
Published in Physics in medicine & biology (07.10.2023)
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Journal Article
The Conditional Super Learner
Valdes, Gilmer, Interian, Yannet, Gennatas, Efstathios, Van der Laan, Mark
Published in IEEE transactions on pattern analysis and machine intelligence (01.12.2022)
Published in IEEE transactions on pattern analysis and machine intelligence (01.12.2022)
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Journal Article