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ORCIDIssam El-Naqa
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2020 – today
- 2024
[j9]John Mayfield
, Issam El-Naqa:
Evaluation of VQC-LSTM for disability forecasting in multiple sclerosis using sequential multisequence MRI. Quantum Mach. Intell. 6(2): 41 (2024)- [i4]John D. Mayfield, Issam El-Naqa:
Evaluation of QCNN-LSTM for Disability Forecasting in Multiple Sclerosis Using Sequential Multisequence MRI. CoRR abs/2401.12132 (2024) - 2023
- [i3]Dipesh Niraula, Issam El-Naqa, Jack Adam Tuszynski, Robert A. Gatenby:
Modeling non-genetic information dynamics in cells using reservoir computing. CoRR abs/2312.07977 (2023) - 2022
- [c21]Andrew Schultz, Saeed S. Alahmari, Joeseph Johnson, Thomas Veith, Zaid Siddiqui, Issam El-Naqa, Laura Heiser, Noemi Andor:
Image-based mapping of cells onto a cell cycle continuum for integration of single cell sequencing and live cell imaging. BigDataService 2022: 119-123 - [i2]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 abs/2202.04565 (2022) - 2020
- [c20]Jen-Tzung Chien, Wei-Lin Liao, Issam El-Naqa:
Exploring State Transition Uncertainty in Variational Reinforcement Learning. EUSIPCO 2020: 1527-1531
2010 – 2019
- 2017
- [c19]Huan-Hsin Tseng, Issam El-Naqa, Jen-Tzung Chien:
Power-law stochastic neighbor embedding. ICASSP 2017: 2347-2351 - [i1]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 abs/1703.08516 (2017) - 2014
- [j8]Issam El-Naqa:
Biomedical informatics and panomics for evidence-based radiation therapy. WIREs Data Mining Knowl. Discov. 4(4): 327-340 (2014) - 2012
- [j7]Issam El-Naqa:
Machine learning methods for predicting tumor response in lung cancer. WIREs Data Mining Knowl. Discov. 2(2): 173-181 (2012) - 2010
- [j6]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): 1861-1867 (2010) - [c18]Isuru Dasanayake, Issam El-Naqa, Jr-Shin Li:
Constrained Kalman filtering for IMRT optimization. CDC 2010: 4703-4708 - [c17]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: 735-739
2000 – 2009
- 2009
- [j5]Issam El-Naqa, Perry Grigsby, Aditya P. Apte, Elizabeth Kidd, Eric Donnelly, Divya Khullar, Summer Chaudhari, Deshan Yang, Martin Schmitt, Richard Laforest, Wade L. Thorstad, Joseph Deasy:
Exploring feature-based approaches in PET images for predicting cancer treatment outcomes. Pattern Recognit. 42(6): 1162-1171 (2009) - [j4]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): 236-251 (2009) - [j3]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): 991-999 (2009) - [c16]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: 478-483 - [c15]Jung Hun Oh, Issam El-Naqa:
Bayesian Network Learning for Detecting Reliable Interactions of Dose-Volume Related Parameters in Radiation Pneumonitis. ICMLA 2009: 484-488 - [c14]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: 498-503 - 2008
- [c13]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: 1067-1071 - [c12]Deshan Yang, Hua Li, Daniel A. Low, Joseph O. Deasy, Issam El-Naqa:
A fast inverse consistent deformable image registration method based on symmetric optical flow computation. ACSCC 2008: 1931-1935 - [c11]Issam El-Naqa, Jeffrey D. Bradley, Joseph Deasy:
Nonlinear Kernel-Based Approaches for Predicting Normal Tissue Toxicities. ICMLA 2008: 539-544 - 2007
- [c10]Issam El-Naqa, Deshan Yang, Joseph Deasy:
Automated Estimation of the Biophysical Target for Radiotherapy Treatment Planning using Multimodality Image Analysis. ICIP (5) 2007: 533-536 - [c9]Deshan Yang, Joseph O. Deasy, Daniel A. Low, Issam El-Naqa:
Level set motion assisted non-rigid 3D image registration. Image Processing 2007: 651207 - 2006
- [c8]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: 60650S - [c7]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: 980-983 - 2004
- [j2]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): 1233-1244 (2004) - [c6]Issam El-Naqa, Yongyi Yang, Nikolas P. Galatsanos, Miles N. Wernick:
Mammogram Retrieval Based On Incremental Learning. ISBI 2004: 1163-1166 - 2003
- [c5]Issam El-Naqa, Yongyi Yang, Nikolas P. Galatsanos, Miles N. Wernick:
Relevance feedback based on incremental learning for mammogram retrieval. ICIP (1) 2003: 729-732 - 2002
- [j1]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): 1552-1563 (2002) - [c4]Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Nikolas P. Galatsanos:
Content-based image retrieval for digital mammography. ICIP (3) 2002: 141-144 - [c3]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: 953-956 - [c2]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: 201-204 - 2000
- [c1]Issam El-Naqa, Miles N. Wernick, Yongyi Yang, Nikolas P. Galatsanos:
Image Retrieval Based on Similarity Learning. ICIP 2000: 722-725
Coauthor Index
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