Issam El-Naqa

	2012
21		Issam El-Naqa: Machine learning methods for predicting tumor response in lung cancer. Wiley Interdisc. Rew.: Data Mining and Knowledge Discovery 2(2): 173-181 (2012)
	2010
20		Isuru Dasanayake, Issam El-Naqa, Jr-Shin Li: Constrained Kalman filtering for IMRT optimization. CDC 2010: 4703-4708
19		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
18		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)
	2009
17		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
16		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
15		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
14		Jovan G. Brankov, Yongyi Yang, Liyang Wei, Issam El-Naqa, Miles N. Wernick: Learning a Channelized Observer for Image Quality Assessment. IEEE Trans. Med. Imaging 28(7): 991-999 (2009)
13		Jinshan Tang, Rangaraj M. Rangayyan, Jun Jun Xu, Issam El-Naqa, Yongyi Yang: Computer-Aided Detection and Diagnosis of Breast Cancer With Mammography: Recent Advances. IEEE Transactions on Information Technology in Biomedicine 13(2): 236-251 (2009)
12		Issam El-Naqa, Perry Grigsby, A. Apte, E. Kidd, E. Donnelly, D. Khullar, S. Chaudhari, D. Yang, M. Schmitt, Richard Laforest, W. L. Thorstad, Joseph Deasy: Exploring feature-based approaches in PET images for predicting cancer treatment outcomes. Pattern Recognition 42(6): 1162-1171 (2009)
	2008
11		Issam El-Naqa, Jeffrey D. Bradley, Joseph Deasy: Nonlinear Kernel-Based Approaches for Predicting Normal Tissue Toxicities. ICMLA 2008: 539-544
	2007
10		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
	2006
9		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
8		Issam El-Naqa, Yongyi Yang, Nikolas P. Galatsanos, Miles N. Wernick: Mammogram Retrieval Based On Incremental Learning. ISBI 2004: 1163-1166
7		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. Med. Imaging 23(10): 1233-1244 (2004)
	2003
6		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
5		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
4		Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Nikolas P. Galatsanos: Content-based image retrieval for digital mammography. ICIP (3) 2002: 141-144
3		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
2		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. Med. Imaging 21(11): 1552-1563 (2002)
	2000
1		Issam El-Naqa, Miles N. Wernick, Yongyi Yang, Nikolas P. Galatsanos: Image Retrieval Based on Similarity Learning. ICIP 2000

Coauthor Index

1	Rawan Al-Lozi	[17] [19]
2	A. Apte	[12]
3	Jeffrey D. Bradley	[9] [11] [19]
4	Jovan G. Brankov	[14]
5	S. Chaudhari	[12]
6	Yixin Chen	[15] [18]
7	Jeffrey Craft	[19]
8	Isuru Dasanayake	[20]
9	Joseph O. Deasy (Joseph Deasy)	[9] [10] [11] [12] [15] [18] [19]
10	E. Donnelly	[12]
11	Nikolas P. Galatsanos	[1] [2] [3] [4] [5] [6] [7] [8]
12	Perry Grigsby	[12]
13	D. Khullar	[12]
14	E. Kidd	[12]
15	Richard Laforest	[12]
16	Jr-Shin Li	[20]
17	Daniel A. Low	[9]
18	Yifan Meng	[19]
19	Robert M. Nishikawa	[2] [3] [5] [7]
20	Jung Hun Oh	[16] [17] [19]
21	Rangaraj M. Rangayyan	[13]
22	Todd W. Schiller	[15] [18]
23	M. Schmitt	[12]
24	Jinshan Tang	[13]
25	W. L. Thorstad	[12]
26	Manushka Vaidya	[19]
27	Milos Vicic	[9]
28	Liyang Wei	[14]
29	Miles N. Wernick	[1] [2] [3] [4] [5] [6] [7] [8] [14]
30	Jun Jun Xu	[13]
31	D. Yang	[12]
32	Deshan Yang	[10]
33	Yongyi Yang	[1] [2] [3] [4] [5] [6] [7] [8] [13] [14]

Colors in the list of coauthors

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