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2009

55.Guangfan Zhang, Roger Xu, Wei Wang, Jiang Li, Tom Schnell and Mike Keller, "Individualized Cognitive Modeling for Closed-Loop Task Mitigation", accepted by MODSIM 2009.

54.Wenjuan Jiang, Jiang Li and Rick McKenzie, " Prostate Cancer Biomarker Identification: A Comparative Study", Capstone conference, VMASC, 2009.

53.Emin Kugu and Jiang Li, " Assessment of Denoising Algorihtm by Evolving the Pareto Front", Capstone conference, VMASC 2009.

52.Jiang Li, Yufei Shen, Yuzhong Shen, Rick McKenzie, Nandita Guha-Thakurta, Matthew Debnam, Ashok Kumar and Jihong Wang, "Brain Tumor Progression Assessment Using Multiple MRI Volumes", accepted as oral presentation by RSNA 2009.

51.Adam Huang, Jiang Li, Ronald M. Summers, Nicholas Petrick, Amy K. Hara, “A Pareto Front Approach to Evaluating Polyp Detection Algorithms for CT Colonography”, revised to Pattern Recognition Letters.

50.Jianhua Yao, Jiang Li and Ronald Summers, “Colonic Polyp Detection and measurement using Topographical Height Map”, Pattern recognition,Vol. 42, no. 6, pp. 1029-1040, 2009.

49.Jiang Li, A. Huang, J. Yao and RM. Summers, “Optimizing Automatic Colonic Polyp Detection by Evolving the Pareto Front”, Medical physics, 2009, Vol.36, no.1, pp. 201-212.

48.Yuzhong Shen, Jiang Li, Vamsi Mantena, and Srinivas Jakkula, "Seasonal Adaptation of Vegetation Color in Satellite Images for Flight Simulations", in press, Journal of Intelligent Learning Systems and Applications, 2009.

47.Vamsi Mantena, Wejuan Jiang, Jiang Li and Rick McKenzie, "Prostate Cancer Biomarker Identification Using MALDI-MS DATA: Initial Results", in proceedings of IEEE/NIH LiSSA'09.

46.Jihong Wang, PhD, Yufei Shen, John DeGroot, MD, Yuzhong Shen, PhD and Jiang Li, "Using CSF as an Internal Quality Assurance Tool in Diffusion Tensor Imaging Studies of Brain Tumor", SPIE Medical Imaging, 2009.

45.Xiaoyan Sun, Shao-Hui Chuang, Jiang Li, Frederic McKenzie, "Automatic Diagnosis for Prostate Cancer using Run-length Matrix Method", SPIE Medical Imaging, 2009.

44.Ramu Pedada, Emin Kugu, Jiang Li, Zhanfeng Yue, Yuzhong Shen, "Parameter Optimization for Image Denoising Based on Block Matching and 3D Collaborative Filtering", SPIE Medical Imaging, 2009.

2008:

43.Jiang Li and Ronald M. Summers et al., “Wavelet Method for CT Colonography Computer-aided Polyp Detection”,Medical physics,2008, Vol. 35, no. 8, pp. 3527-3538.

42.Pramod L. Narasimha, Walter H. Delashmit, Michael T. Manry, Jiang Li, Francisco Maldonado, “An integrated growing-pruning method for feedforward network training”, Neurocomputing, 2008, Vol. 71, no. 13-15, pp. 2831-2847.

41.  Vamsi K R Mantena, Jiang Li, Rick McKenzie, Lisa Cazares, Richard Drake and John Semmes, “An Efficient Algorithm for Biomarker Identification”, (poster). EDRN workshop, Bethesda, Maryland 2008.

40. Jianhua Yao, Suzanne Frentz, Jiang Li, Ronald Summers, “Polyp Height and Width Measurement Using Topographic Height Map”, SPIE Medical Imaging, San Diego, California, Feb 2008.

39. Yufei Shen, Jiang Li, Yuzhong Shen and 2Jihong Wang, “MRI Brain Tumor Segmentation Using a Region Growing Method Based on Dynamic Thresholds”, Capstone conference, VMASC, ODU 2008.

38. Vamsi K. R. Mantena, Jiang Li and Rick McKenzie, “Biomarker Identification by using Mass Spectrum Data”, Capstone conference, VMASC 2008.

37. Vamsi K. R. Mantena, Ramu Pedada, Srinivas Jakkula, Yuzhong Shen and Jiang Li, “Vegetation Identification based on Satellite Imagery”, IPCV 2008.

36. R. Pedada, Yuzhong Shen, Jiang Li and K. E. Barner, “Binary-output Weighted Median Filter for Binary Signals,” IPCV 2008.

35.S. Jakkula, V. Mantena, R. Pedada, Yuzhong Shen and Jiang Li, “Seasonal Adaptation of Vegetation Color in Satellite Images,” IPCV 2008.

2007

34.Ou Bai, Peter Lin, Sherry Vorbach, Jiang Li, Steve Furlani, and Mark Hallett, “Exploration of Computational Methods for Classification of Movement Intention during Human Voluntary Movement from Single Trial EEG”, Clin Neurophysiol., Vol. 118, no. 12, pp2637-55, Dec. 2007.

33.H. Chandrasekaran, Jiang Li, Changhua Yu and Michael T. Manry, “Convergent Design of Piecewise Linear Neural Networks”, Neurocomputing, Vol. 70, No. 4-6, pp. 1022-1-39, Jan. 2007.

32.Jianhua Yao, Jiang Li, Ronald Summers, “CT Colonography Computer-Aided Polyp Detection using Topographical Height Map”, ICIP 2007.

31.Abdul A. Abdurrab, Michael T. Manry, Jiang Li, Sanjeev S. Malalur, Robert G. Gore, “A Piecewise Linear Network Classifier”, IJCNN 2007.

30.Jiang Li, Adam. Huang, Nicholas. Petrick, Jianhua. Yao, P. Pickhardt, JR. Choi and RM. Summers, “Validating Pareto Optimal Operation Parameters of Polyp Detection Algorithms for CT Colonography”, in Proceeding of SPIE 2007.

29.Jiang Li, Ronald M. Summers, “Improving Performances of Colonic Polyp Detection”, ECR 2007 (presentation).

28.Robert Van Uitert, Jiang Li, Ronald Summers, “Computer-aided Detection of Colonic Diverticular Disease”, in Proceeding of ISBI 2007.

27.Jianhua Yao, Jiang Li, Ronald Summers, “Collaborative classifiers in CT Colonography CAD”, in Proceeding of SPIE 2007.

26.Adam Huang, Jiang Li, Ronald M. Summers, Nicholas Petrick and Amy K. Hara, “Using Pareto Fronts to Evaluate Polyp Detection Algorithms for CT Colonography”, in Proceeding of SPIE 2007.

2006

25.Jiang Li, M. Franaszek, N. Petrick, Jianhua Yao, Adam Huang, Ronald M. Summers, “Wavelet Method for CT Colonography Computer-aided Polyp Detection”, in Proceedings of ISBI 2006.

24.Jiang Li, Jianhua Yao, Nicholas Petrick, Ronald M. Summers, and Amy K. Hara, “Hybrid Committee Classifiers for a Computerized Colonic Polyp Detection System”, in Proceedings of SPIE 2006.

23.Jiang Li, A. Huang, J. Yao, I. Bitter, RM. Summers, P. Pickhardt and JR. Choi, “Automatic Colonic Polyp Detection Using Multiobjective Evolutionary Technique”, in Proceedings of SPIE 2006.

22.Sharon Greenblum, Jiang Li, Adam Huang, Ronald Summers, “Wavelet Analysis in Virtual Colonoscopy”, in Proceedings of SPIE 2006.

 21.P. L. Narasimha, W. Delashmit, M. T. Manry, Jiang Li and f. Maldonado, “Fast Generation of a Sequence of Trained and Validated Feed-Forward Networks”, in Proceedings of FLAIRS 2006.

20.Jiang Li, Michael T. Manry, P. L. Narasimha and Changhua Yu, “Feature Selection Using a Piecewise Linear Network”, IEEE Trans. on Neural Network, Vol. 17, no. 5, pp. 1101-1115, 2006.

19.Jiang Li, Jianhua Yao, Ronald Summers, Nicholas Petrick, Michael T. Manry and Amy K. Hara “An efficient feature selection algorithm for polyp detection in CAD system”, Special Issue of International Journal on Artificial Intelligence Tools, Vol. 15, No. 6, pp. 893-915, 2006.

18.Changhua Yu, Michael T. Manry, and Jiang Li, “An Efficient Hidden Layer Training Method for Multilayer Perceptron”, Neurocomputing, Vol. 70, no. 1-3, pp. 525-535, 2006.

2005

17.Jiang Li, Jianhua Yao and Ronald Summers, “An efficient feature selection algorithm for polyp detection in CAD system”, in proceedings of  FLAIRS 2005.

16.Jiang Li, Michael T. Manry and Changhua Yu, “Prototype Based Classifier Design with Pruning”,  Special Issue of International Journal on Artificial Intelligence Tools, Vol. 14, no, 1-2, pp. 261-280, 2005. 

15.R. G. Gore, Jiang Li, M. T. Manry, L. M. Liu and Changhua Yu, “Iterative Design of Neural Network Classifiers through Regression”, Special Issue of International Journal on Artificial Intelligence Tools, Vol. 14, no, 1-2, pp. 281-302, 2005. 

14.Changhua Yu, Michael T. Manry and Jiang Li, “Effects of nonsingular pre-processing on feed-forward network training”, Special Issue of International Journal of Pattern Recogntion and Artificial Intelligence, vol. 19, no. 2, pp. 217-247, 2005.

2004

13.Jiang Li, Qilian Liang, and Michael. T. Manry, “A Nonlinear Filtering Approach for Demodulation over Rician Flat Fading Channels”, in proceedings of Globecom 2004.

12.Jiang Li, Qilian Liang, and Michael. T. Manry, “Co-channel Interference Suppression with Model Simplification in TDMA Systems”, in Proceedings of PIMRC 2004.

11.Jiang Li, Michael T. Manry, Li-Min Liu, Changhua Yu, and John Wei, “Iterative Improvement of Neural Classifiers”, in Proceedings of the Seventeenth International Conference of the Florida AI Research Society, May 2004.

 10.Jiang Li, Michael T. Manry, and Changhua Yu, “Prototype Based Classifier Design with Pruning”, in proceedings of the Seventeenth International Conference of the Florida AI Research Society, May 2004.

9. Jiang Li, Qilian Liang, and Michael T. Manry, “Demodulation for Wireless ATM Network Using Modified SOM Network”, in Proceedings of ICASSP 2004.

8. Changhua Yu, Michael T. Manry and Jiang Li, “Invariance of MLP Training to Input Feature De-correlation”, in Proceedings of the Seventeenth International Conference of the Florida AI Research Society, May 2004.

7. Changhua Yu, Michael T. Manry and Jiang Li, “Hidden Layer Training via Hessian Matrix Information”, in Proceedings of the Seventeenth International Conference of the Florida AI Research Society, May 2004.

2003

6. Jiang Li, Qilian Liang, and Michael T. Manry, “Overcoming Cellular System’s Co-Channel Interference Using SOM Network”, in Proceedings of Radio and Wireless Conference, Aug. 10-13, pp. 123-126, 2003.

5. Jiang Li, Qilian Liang, Michael T. Manry, and Tae-Hoon Kim, “A Semi-blind Demodulator Aided by Protocol for Wireless ATM Network”, in 14th IEEE Proceedings of Personal, Indoor and Mobile Radio Communications, Vol. 3, pp. 2093-2097, 2003.

4. Jiang Li, Qilian Liang, and Michael T. Manry, “Adaptive Channel Equalization for Satellite Communications with Multipath Based on Unsupervised Learning Algorithm”, in 14th IEEE Proceedings of Personal, Indoor and Mobile Radio Communications, Vol. 1, pp. 730 – 734, 2003.

Before 2003

3. Jiang Li, Qing Zhuo, and Wenyuan Wang, “A Novel Approach to Analyze the Result of Polygraph”, IEEE International Conference on Systems, Man, and Cybernetics, vol. 4, p2884-2886, 2000.

 2. Tae-Hoon Kim, Jiang Li, and Michael T. Manry, “Evaluation and Improvement of Two Training Algorithms”, Thirty-Sixth Asilomar Conference on Signals, Systems & Computers, vol. 2, p1029-1023, 2002.

1. Jiang Li, Qing Zhuo, and Wenyuan Wang, “An Electrical DC Model for the Human's   Skin Related Mood and its Experimental Method Research”, Chinese Journal of Behavioral Medical Science, no. 4 Vol. 9, 2000, pp.255-258, 2000.