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Issam El Naqa

University of South Florida(US)University of Michigan(US)Moffitt Cancer Center(US)

Publications by Year

Research Areas

Radiomics and Machine Learning in Medical Imaging, Advanced Radiotherapy Techniques, Medical Imaging Techniques and Applications, Lung Cancer Diagnosis and Treatment, AI in cancer detection

Most-Cited Works

→ The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping(2020)3,655 cited
→ Radiation Dose–Volume Effects in the Lung(2010)1,065 cited
→ Liver metastasis restrains immunotherapy efficacy via macrophage-mediated T cell elimination(2021)921 cited
→ A radiomics model from joint FDG-PET and MRI texture features for the prediction of lung metastases in soft-tissue sarcomas of the extremities(2015)889 cited
→ Radiation Dose–Volume Effects in the Brain(2010)739 cited
→ What Is Machine Learning?(2015)736 cited

→ Computer-Aided Detection and Diagnosis of Breast Cancer With Mammography: Recent Advances(2009)

620 cited

→ Machine and deep learning methods for radiomics(2020)567 cited

→ Prediction of both conserved and nonconserved microRNA targets in animals(2007)539 cited

→ Radiomics strategies for risk assessment of tumour failure in head-and-neck cancer(2017)536 cited