Delta-Radiomics Using Machine Learning Classifiers With Auxiliary Data Sets to Predict Disease Progression During Magnetic Resonance-Guided Radiotherapy in Adrenal Metastases

Jesutofunmi A. Fajemisin; John M. Bryant; Payman G. Saghand; Matthew N. Mills; Kujtim Latifi; Eduardo G. Moros; Vladimir Feygelman; Jessica M. Frakes; Sarah E. Hoffe; Kathryn E. Mittauer; Tugce Kutuk; Rupesh Kotecha; Issam El Naqa; Stephen A. Rosenberg

doi:10.1200/CCI.24.00002

Delta-Radiomics Using Machine Learning Classifiers With Auxiliary Data Sets to Predict Disease Progression During Magnetic Resonance-Guided Radiotherapy in Adrenal Metastases

Jesutofunmi A. Fajemisin
, John M. Bryant
, Payman G. Saghand
, Matthew N. Mills
, Kujtim Latifi
, Eduardo G. Moros
, Vladimir Feygelman
, Jessica M. Frakes
, Sarah E. Hoffe
, Kathryn E. Mittauer
, Tugce Kutuk
, Rupesh Kotecha
, Issam El Naqa
, Stephen A. Rosenberg

Baptist Health South Florida

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	e2400002
Journal	JCO Clinical Cancer Informatics
Volume	9
DOIs	https://doi.org/10.1200/CCI.24.00002
State	Published - Jan 1 2025

ASJC Scopus Subject Areas

General Medicine

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10.1200/CCI.24.00002

Cite this

Fajemisin, J. A., Bryant, J. M., Saghand, P. G., Mills, M. N., Latifi, K., Moros, E. G., Feygelman, V., Frakes, J. M., Hoffe, S. E., Mittauer, K. E., Kutuk, T., Kotecha, R., El Naqa, I., & Rosenberg, S. A. (2025). Delta-Radiomics Using Machine Learning Classifiers With Auxiliary Data Sets to Predict Disease Progression During Magnetic Resonance-Guided Radiotherapy in Adrenal Metastases. JCO Clinical Cancer Informatics, 9, Article e2400002. https://doi.org/10.1200/CCI.24.00002

Delta-Radiomics Using Machine Learning Classifiers With Auxiliary Data Sets to Predict Disease Progression During Magnetic Resonance-Guided Radiotherapy in Adrenal Metastases. / Fajemisin, Jesutofunmi A.; Bryant, John M.; Saghand, Payman G. et al.
In: JCO Clinical Cancer Informatics, Vol. 9, e2400002, 01.01.2025.

Research output: Contribution to journal › Article › peer-review

Fajemisin, JA, Bryant, JM, Saghand, PG, Mills, MN, Latifi, K, Moros, EG, Feygelman, V, Frakes, JM, Hoffe, SE, Mittauer, KE, Kutuk, T, Kotecha, R, El Naqa, I & Rosenberg, SA 2025, 'Delta-Radiomics Using Machine Learning Classifiers With Auxiliary Data Sets to Predict Disease Progression During Magnetic Resonance-Guided Radiotherapy in Adrenal Metastases', JCO Clinical Cancer Informatics, vol. 9, e2400002. https://doi.org/10.1200/CCI.24.00002

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author = "Fajemisin, \{Jesutofunmi A.\} and Bryant, \{John M.\} and Saghand, \{Payman G.\} and Mills, \{Matthew N.\} and Kujtim Latifi and Moros, \{Eduardo G.\} and Vladimir Feygelman and Frakes, \{Jessica M.\} and Hoffe, \{Sarah E.\} and Mittauer, \{Kathryn E.\} and Tugce Kutuk and Rupesh Kotecha and \{El Naqa\}, Issam and Rosenberg, \{Stephen A.\}",

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AU - Fajemisin, Jesutofunmi A.

AU - Bryant, John M.

AU - Saghand, Payman G.

AU - Mills, Matthew N.

AU - Latifi, Kujtim

AU - Moros, Eduardo G.

AU - Feygelman, Vladimir

AU - Frakes, Jessica M.

AU - Hoffe, Sarah E.

AU - Mittauer, Kathryn E.

AU - Kutuk, Tugce

AU - Kotecha, Rupesh

AU - El Naqa, Issam

AU - Rosenberg, Stephen A.

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Delta-Radiomics Using Machine Learning Classifiers With Auxiliary Data Sets to Predict Disease Progression During Magnetic Resonance-Guided Radiotherapy in Adrenal Metastases

ASJC Scopus Subject Areas

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