I. El-Naqa

发表

Variation in the definition of clinical target volumes for pelvic nodal conformal radiation therapy for prostate cancer.

Issam El-Naqa, Mack Roach, Charles Catton, 2007, International journal of radiation oncology, biology, physics.

Diagnose the Stages of Breast Cancer using SVM

Mohammad Muntasir Rahman, B. C. Desai, S. Antani, 2018 .

RTOG GU Radiation oncology specialists reach consensus on pelvic lymph node volumes for high-risk prostate cancer.

C. Ménard, M. Ritter, J. Michalski, 2009, International journal of radiation oncology, biology, physics.

Nikolas P. Galatsanos, Robert M. Nishikawa, Yongyi Yang, 2004, IEEE Transactions on Medical Imaging.

Radiomics strategies for risk assessment of tumour failure in head-and-neck cancer

Issam El-Naqa, Martin Vallières, Jan Seuntjens, 2017, Scientific Reports.

A prediction model for early death in non-small cell lung cancer patients following curative-intent chemoradiotherapy

Issam El-Naqa, Matthew Field, Andre Dekker, 2017, Acta oncologica.

Computer-Aided Detection and Diagnosis of Breast Cancer With Mammography: Recent Advances

Yongyi Yang, Rangaraj M. Rangayyan, Issam El-Naqa, 2009, IEEE Transactions on Information Technology in Biomedicine.

A support vector machine approach for detection of microcalcifications

Nikolas P. Galatsanos, Robert M. Nishikawa, Yongyi Yang, 2002, IEEE Transactions on Medical Imaging.

2222 Variation in the Definition of Clinical Target Volumes for Postoperative Conformal Radiation Therapy of

C. Catton, H. Sandler, M. Ritter, 2007 .

Exploring feature-based approaches in PET images for predicting cancer treatment outcomes

Issam El-Naqa, Deshan Yang, Perry Grigsby, 2009, Pattern Recognit..

Machine learning methods for predicting tumor response in lung cancer

Issam El-Naqa, I. El-Naqa, Issam El-Naqa, 2012, WIREs Data Mining Knowl. Discov..

Dosimetric correlates for acute esophagitis in patients treated with radiotherapy for lung carcinoma.

Issam El-Naqa, Joseph O Deasy, Jeffrey Bradley, 2004, International journal of radiation oncology, biology, physics.

Power-law stochastic neighbor embedding

Issam El-Naqa, Huan-Hsin Tseng, Jen-Tzung Chien, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Biomedical informatics and panomics for evidence-based radiation therapy

Issam El-Naqa, I. El-Naqa, 2014, WIREs Data Mining Knowl. Discov..

Nonlinear Kernel-Based Approaches for Predicting Normal Tissue Toxicities

Joseph O. Deasy, Issam El-Naqa, Jeffrey D. Bradley, 2008, 2008 Seventh International Conference on Machine Learning and Applications.

A support vector machine approach for detection of microcalcifications in mammograms

Nikolas P. Galatsanos, Robert M. Nishikawa, Yongyi Yang, 2002, Proceedings. International Conference on Image Processing.

Improving Clinical Relevance in Ensemble Support Vector Machine Models of Radiation Pneumonitis Risk

Yixin Chen, Joseph O. Deasy, Todd W. Schiller, 2009, 2009 International Conference on Machine Learning and Applications.

Exploring State Transition Uncertainty in Variational Reinforcement Learning

Issam El-Naqa, Jen-Tzung Chien, Wei-Lin Liao, 2021, 2020 28th European Signal Processing Conference (EUSIPCO).

Precision Radiotherapy via Information Integration of Expert Human Knowledge and AI Recommendation to Optimize Clinical Decision Making

I. Dinov, R. T. Haken, I. El-Naqa, 2022, Comput. Methods Programs Biomed..

Learning a Channelized Observer for Image Quality Assessment

Yongyi Yang, Issam El-Naqa, Jovan G. Brankov, 2009, IEEE Transactions on Medical Imaging.

Bayesian Network Learning for Detecting Reliable Interactions of Dose-Volume Related Parameters in Radiation Pneumonitis

Issam El-Naqa, Jung Hun Oh, J. Oh, 2009, 2009 International Conference on Machine Learning and Applications.

Support vector machine learning for detection of microcalcifications in mammograms

Nikolas P. Galatsanos, Robert M. Nishikawa, Yongyi Yang, 2002, Proceedings IEEE International Symposium on Biomedical Imaging.

Modeling radiation-induced lung injury risk with an ensemble of support vector machines

Yixin Chen, Joseph O. Deasy, Todd W. Schiller, 2010, Neurocomputing.

Application of Machine Learning Techniques for Prediction of Radiation Pneumonitis in Lung Cancer Patients

Issam El-Naqa, Jung Hun Oh, Rawan Al-Lozi, 2009, 2009 International Conference on Machine Learning and Applications.

Level set motion assisted non-rigid 3D image registration

Joseph O. Deasy, Issam El-Naqa, Daniel A. Low, 2007, SPIE Medical Imaging.