Issam El-Naqa

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 6

Top Topics

State Transition

Reinforcement Learning

Clinical Decision Making

Human Knowledge

Top Venues

WIREs Data Mining Knowl. Discov.

Quantum Mach. Intell.

Publications

John Mayfield, Issam El-Naqa
Evaluation of VQC-LSTM for disability forecasting in multiple sclerosis using sequential multisequence MRI. Quantum Mach. Intell. 6 (2) (2024)
Dipesh Niraula, Issam El-Naqa, Jack Adam Tuszynski, Robert A. Gatenby
Modeling non-genetic information dynamics in cells using reservoir computing. CoRR (2023)
Wenbo Sun, Dipesh Niraula, Issam El-Naqa, Randall K. Ten Haken, Ivo D. Dinov, Kyle Cuneo, Judy Jin
Precision Radiotherapy via Information Integration of Expert Human Knowledge and AI Recommendation to Optimize Clinical Decision Making. CoRR (2022)
Jen-Tzung Chien, Wei-Lin Liao, Issam El-Naqa
Exploring State Transition Uncertainty in Variational Reinforcement Learning. EUSIPCO (2020)
Huan-Hsin Tseng, Issam El-Naqa, Jen-Tzung Chien
Power-law stochastic neighbor embedding. ICASSP (2017)
Martin Vallières, Emily Kay-Rivest, Léo Jean Perrin, Xavier Liem, Christophe Furstoss, Hugo J. W. L. Aerts, Nader Khaouam, Phuc Felix Nguyen-Tan, Chang-Shu Wang, Khalil Sultanem, Jan Seuntjens, Issam El-Naqa
Radiomics strategies for risk assessment of tumour failure in head-and-neck cancer. CoRR (2017)
Issam El-Naqa
Biomedical informatics and panomics for evidence-based radiation therapy. WIREs Data Mining Knowl. Discov. 4 (4) (2014)
Issam El-Naqa
Machine learning methods for predicting tumor response in lung cancer. WIREs Data Mining Knowl. Discov. 2 (2) (2012)
Todd W. Schiller, Yixin Chen, Issam El-Naqa, Joseph O. Deasy
Modeling radiation-induced lung injury risk with an ensemble of support vector machines. Neurocomputing 73 (10-12) (2010)
Jung Hun Oh, Jeffrey Craft, Rawan Al-Lozi, Manushka Vaidya, Yifan Meng, Joseph O. Deasy, Jeffrey D. Bradley, Issam El-Naqa
Predicting Local Failure in Lung Cancer Using Bayesian Networks. ICMLA (2010)
Isuru Dasanayake, Issam El-Naqa, Jr-Shin Li
Constrained Kalman filtering for IMRT optimization. CDC (2010)
Todd W. Schiller, Yixin Chen, Issam El-Naqa, Joseph O. Deasy
Improving Clinical Relevance in Ensemble Support Vector Machine Models of Radiation Pneumonitis Risk. ICMLA (2009)
Jung Hun Oh, Issam El-Naqa
Bayesian Network Learning for Detecting Reliable Interactions of Dose-Volume Related Parameters in Radiation Pneumonitis. ICMLA (2009)
Jung Hun Oh, Rawan Al-Lozi, Issam El-Naqa
Application of Machine Learning Techniques for Prediction of Radiation Pneumonitis in Lung Cancer Patients. ICMLA (2009)
Jovan G. Brankov, Yongyi Yang, Liyang Wei, Issam El-Naqa, Miles N. Wernick
Learning a Channelized Observer for Image Quality Assessment. IEEE Trans. Medical Imaging 28 (7) (2009)
Issam El-Naqa, Perry Grigsby, Aditya P. Apte, E. Kidd, E. Donnelly, D. Khullar, S. Chaudhari, Deshan Yang, M. Schmitt, Richard Laforest, W. L. Thorstad, Joseph Deasy
Exploring feature-based approaches in PET images for predicting cancer treatment outcomes. Pattern Recognit. 42 (6) (2009)
Jinshan Tang, Rangaraj M. Rangayyan, Jun Xu, Issam El-Naqa, Yongyi Yang
Computer-Aided Detection and Diagnosis of Breast Cancer With Mammography: Recent Advances. IEEE Trans. Inf. Technol. Biomed. 13 (2) (2009)
Phaneendra K. Yalavarthy, Daniel A. Low, Camille Noel, Zhouping Wei, Deshan Yang, Aditya P. Apte, Jeffrey D. Bradley, Joseph Deasy, Issam El-Naqa
Current role of PET in oncology: Potentials and challenges in the management of non-small cell lung cancer. ACSCC (2008)
Issam El-Naqa, Jeffrey D. Bradley, Joseph Deasy
Nonlinear Kernel-Based Approaches for Predicting Normal Tissue Toxicities. ICMLA (2008)
Deshan Yang, Joseph O. Deasy, Daniel A. Low, Issam El-Naqa
Level set motion assisted non-rigid 3D image registration. Medical Imaging: Image Processing (2007)
Issam El-Naqa, Deshan Yang, Joseph Deasy
Automated Estimation of the Biophysical Target for Radiotherapy Treatment Planning using Multimodality Image Analysis. ICIP (5) (2007)
Miles N. Wernick, Yongyi Yang, Jovan G. Brankov, Liyang Wei, Nikolas P. Galatsanos, Issam El-Naqa
Machine learning of human responses to images. Computational Imaging (2006)
Issam El-Naqa, Daniel A. Low, Jeffrey D. Bradley, Milos Vicic, Joseph Deasy
Compensation of breathing motion artifacts in thoracic PET images by wavelet-based deconvolution. ISBI (2006)
Issam El-Naqa, Yongyi Yang, Nikolas P. Galatsanos, Miles N. Wernick
Mammogram Retrieval Based On Incremental Learning. ISBI (2004)
Issam El-Naqa, Yongyi Yang, Nikolas P. Galatsanos, Robert M. Nishikawa, Miles N. Wernick
A similarity learning approach to content-based image retrieval: application to digital mammography. IEEE Trans. Medical Imaging 23 (10) (2004)
Issam El-Naqa, Yongyi Yang, Nikolas P. Galatsanos, Miles N. Wernick
Relevance feedback based on incremental learning for mammogram retrieval. ICIP (1) (2003)
Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Nikolas P. Galatsanos
Content-based image retrieval for digital mammography. ICIP (3) (2002)
Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Nikolas P. Galatsanos, Robert M. Nishikawa
A support vector machine approach for detection of microcalcifications in mammograms. ICIP (2) (2002)
Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Nikolas P. Galatsanos, Robert M. Nishikawa
A Support Vector Machine Approach for Detection of Microcalcifications. IEEE Trans. Medical Imaging 21 (11) (2002)
Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Nikolas P. Galatsanos, Robert M. Nishikawa
Support vector machine learning for detection of microcalcifications in mammograms. ISBI (2002)
Issam El-Naqa, Miles N. Wernick, Yongyi Yang, Nikolas P. Galatsanos
Image Retrieval Based on Similarity Learning. ICIP (2000)