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Medical Physics|October 1, 2010
Adaptive learning for relevance feedback: application to digital mammographyJung Hun Oh, Yongyi Yang, Issam El Naqa
BJR Artificial Intelligence|October 1, 2025
General artificial intelligence for the diagnosis and treatment of cancer: the rise of foundation modelsAli A Tarhini, Palak Dave, Issam El Naqa
The British Journal of Radiology|May 16, 2023
AI and machine learning ethics, law, diversity, and global impactKatherine Drabiak, Skylar Kyzer, Valerie Nemov, et al.
Physics in Medicine and Biology|September 6, 2017
Enhancement of multimodality texture-based prediction models via optimization of PET and MR image acquisition protocols: a proof of conceptMartin Vallières, Sébastien Laberge, André Diamant, et al.
The Quarterly Journal of Nuclear Medicine and Molecular Imaging : Official Publication of the Italian Association of Nuclear Medicine (AIMN) [And] the International Association of Radiopharmacology (IAR), [And] Section of the Society Of|September 19, 2019
Machine learning for radiomics-based multimodality and multiparametric modelingLise Wei, Sarah Osman, Mathieu Hatt, et al.
Journal of Medical Imaging (Bellingham, Wash.)|March 26, 2021
Radiomic and radiogenomic modeling for radiotherapy: strategies, pitfalls, and challengesJames T T Coates, Giacomo Pirovano, Issam El Naqa
International Journal of Radiation Oncology, Biology, Physics|February 4, 2021
Integrating Multiomics Information in Deep Learning Architectures for Joint Actuarial Outcome Prediction in Non-Small Cell Lung Cancer Patients After Radiation TherapySunan Cui, Randall K Ten Haken, Issam El Naqa
Seminars in Radiation Oncology|June 18, 2023
The Promise and Future of Radiomics for Personalized Radiotherapy Dosing and AdaptationRachel B Ger, Lise Wei, Issam El Naqa, et al.
International Journal of Radiation Oncology, Biology, Physics|July 21, 2022
Tumor Control Probability After Radiosurgery of Brain Metastases With and Without RetreatmentManju Sharma, Michael T Milano, Michael Cummings, et al.
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