Issam El-Naqa

According to our database, Issam El-Naqa authored at least 33 papers between 2000 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Evaluation of QCNN-LSTM for Disability Forecasting in Multiple Sclerosis Using Sequential Multisequence MRI.

John D. Mayfield, Issam El-Naqa

CoRR, 2024

2023

Modeling non-genetic information dynamics in cells using reservoir computing.

Dipesh Niraula, Issam El-Naqa, Jack Adam Tuszynski, Robert A. Gatenby

CoRR, 2023

2022

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

Wenbo Sun, Dipesh Niraula, Issam El-Naqa, Randall K. Ten Haken, Ivo D. Dinov, Kyle Cuneo, Judy Jin

CoRR, 2022

Image-based mapping of cells onto a cell cycle continuum for integration of single cell sequencing and live cell imaging.

Andrew Schultz, Saeed S. Alahmari, Joeseph Johnson, Thomas Veith, Zaid Siddiqui, Issam El-Naqa, Laura Heiser, Noemi Andor

Proceedings of the Eighth IEEE International Conference on Big Data Computing Service and Applications, 2022

2020

Exploring State Transition Uncertainty in Variational Reinforcement Learning.

Jen-Tzung Chien, Wei-Lin Liao, Issam El-Naqa

Proceedings of the 28th European Signal Processing Conference, 2020

2017

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

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

CoRR, 2017

Power-law stochastic neighbor embedding.

Huan-Hsin Tseng, Issam El-Naqa, Jen-Tzung Chien

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2014

Biomedical informatics and panomics for evidence-based radiation therapy.

Issam El-Naqa

WIREs Data Mining Knowl. Discov., 2014

2012

Machine learning methods for predicting tumor response in lung cancer.

Issam El-Naqa

WIREs Data Mining Knowl. Discov., 2012

2010

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

Todd W. Schiller, Yixin Chen, Issam El-Naqa, Joseph O. Deasy

Neurocomputing, 2010

Predicting Local Failure in Lung Cancer Using Bayesian Networks.

Jung Hun Oh, Jeffrey Craft, Rawan Al-Lozi, Manushka Vaidya, Yifan Meng, Joseph O. Deasy, Jeffrey D. Bradley, Issam El-Naqa

Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

Constrained Kalman filtering for IMRT optimization.

Isuru Dasanayake, Issam El-Naqa, Jr-Shin Li

Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009

Learning a Channelized Observer for Image Quality Assessment.

Jovan G. Brankov, Yongyi Yang, Liyang Wei, Issam El-Naqa, Miles N. Wernick

IEEE Trans. Medical Imaging, 2009

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

Jinshan Tang, Rangaraj M. Rangayyan, Jun Xu, Issam El-Naqa, Yongyi Yang

IEEE Trans. Inf. Technol. Biomed., 2009

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

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

Pattern Recognit., 2009

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

Todd W. Schiller, Yixin Chen, Issam El-Naqa, Joseph O. Deasy

Proceedings of the International Conference on Machine Learning and Applications, 2009

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

Jung Hun Oh, Issam El-Naqa

Proceedings of the International Conference on Machine Learning and Applications, 2009

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

Jung Hun Oh, Rawan Al-Lozi, Issam El-Naqa

Proceedings of the International Conference on Machine Learning and Applications, 2009

2008

Nonlinear Kernel-Based Approaches for Predicting Normal Tissue Toxicities.

Issam El-Naqa, Jeffrey D. Bradley, Joseph Deasy

Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

A fast inverse consistent deformable image registration method based on symmetric optical flow computation.

Deshan Yang, Hua Li, Daniel A. Low, Joseph O. Deasy, Issam El-Naqa

Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008

Current role of PET in oncology: Potentials and challenges in the management of non-small cell lung cancer.

Phaneendra K. Yalavarthy, Daniel A. Low, Camille Noel, Zhouping Wei, Deshan Yang, Aditya P. Apte, Jeffrey D. Bradley, Joseph Deasy, Issam El-Naqa

Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008

2007

Level set motion assisted non-rigid 3D image registration.

Deshan Yang, Joseph O. Deasy, Daniel A. Low, Issam El-Naqa

Proceedings of the Medical Imaging 2007: Image Processing, 2007

Automated Estimation of the Biophysical Target for Radiotherapy Treatment Planning using Multimodality Image Analysis.

Issam El-Naqa, Deshan Yang, Joseph Deasy

Proceedings of the International Conference on Image Processing, 2007

2006

Compensation of breathing motion artifacts in thoracic PET images by wavelet-based deconvolution.

Issam El-Naqa, Daniel A. Low, Jeffrey D. Bradley, Milos Vicic, Joseph Deasy

Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

Machine learning of human responses to images.

Miles N. Wernick, Yongyi Yang, Jovan G. Brankov, Liyang Wei, Nikolas P. Galatsanos, Issam El-Naqa

Proceedings of the Computational Imaging IV, San Jose, 2006

2004

A similarity learning approach to content-based image retrieval: application to digital mammography.

Issam El-Naqa, Yongyi Yang, Nikolas P. Galatsanos, Robert M. Nishikawa, Miles N. Wernick

IEEE Trans. Medical Imaging, 2004

Mammogram Retrieval Based On Incremental Learning.

Issam El-Naqa, Yongyi Yang, Nikolas P. Galatsanos, Miles N. Wernick

Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

2003

Relevance feedback based on incremental learning for mammogram retrieval.

Issam El-Naqa, Yongyi Yang, Nikolas P. Galatsanos, Miles N. Wernick

Proceedings of the 2003 International Conference on Image Processing, 2003

2002

A Support Vector Machine Approach for Detection of Microcalcifications.

Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Nikolas P. Galatsanos, Robert M. Nishikawa

IEEE Trans. Medical Imaging, 2002

Support vector machine learning for detection of microcalcifications in mammograms.

Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Nikolas P. Galatsanos, Robert M. Nishikawa

Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002

A support vector machine approach for detection of microcalcifications in mammograms.

Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Nikolas P. Galatsanos, Robert M. Nishikawa

Proceedings of the 2002 International Conference on Image Processing, 2002

Content-based image retrieval for digital mammography.

Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Nikolas P. Galatsanos

Proceedings of the 2002 International Conference on Image Processing, 2002

2000

Image Retrieval Based on Similarity Learning.

Issam El-Naqa, Miles N. Wernick, Yongyi Yang, Nikolas P. Galatsanos

Proceedings of the 2000 International Conference on Image Processing, 2000