Name
Papers
Collaborators
ISSAM EL-NAQA
24
62
Citations 
PageRank 
Referers 
528
36.31
1562
Referees 
References 
543
250
Search Limit
1001000
Title
Citations
PageRank
Year
Image-based mapping of cells onto a cell cycle continuum for integration of single cell sequencing and live cell imaging00.342022
Precision radiotherapy via information integration of expert human knowledge and AI recommendation to optimize clinical decision making00.342022
Exploring State Transition Uncertainty In Variational Reinforcement Learning00.342020
Radiomics Strategies For Risk Assessment Of Tumour Failure In Head-And-Neck Cancer80.772017
Biomedical informatics and panomics for evidence-based radiation therapy.20.452014
Machine learning methods for predicting tumor response in lung cancer10.402012
Modeling radiation-induced lung injury risk with an ensemble of support vector machines20.452010
Predicting Local Failure in Lung Cancer Using Bayesian Networks00.342010
Learning a Channelized Observer for Image Quality Assessment.90.752009
Exploring feature-based approaches in PET images for predicting cancer treatment outcomes171.062009
Improving Clinical Relevance in Ensemble Support Vector Machine Models of Radiation Pneumonitis Risk00.342009
Bayesian Network Learning for Detecting Reliable Interactions of Dose-Volume Related Parameters in Radiation Pneumonitis00.342009
Application of Machine Learning Techniques for Prediction of Radiation Pneumonitis in Lung Cancer Patients00.342009
Computer-aided detection and diagnosis of breast cancer with mammography: recent advances.1245.052009
Prediction of both conserved and nonconserved microRNA targets in animals.524.422008
Nonlinear Kernel-Based Approaches for Predicting Normal Tissue Toxicities30.402008
Level set motion assisted non-rigid 3D image registration00.342007
Compensation of breathing motion artifacts in thoracic PET images by wavelet-based deconvolution00.342006
Mammogram Retrieval Based On Incremental Learning00.342004
A similarity learning approach to content-based image retrieval: application to digital mammography.1124.482004
Support vector machine learning for detection of microcalcifications in mammograms90.972002
A support vector machine approach for detection of microcalcifications.17712.292002
Content-based image retrieval for digital mammography70.902002
A support vector machine approach for detection of microcalcifications in mammograms50.532002