Publications

BOOK CHAPTERS

-         Aravena, J.E. M. Berli, M. Menon, T.A. Ghezzehei, A. K. Mandava, E.E. Regentova, K.K. Potteti, N.S. Pillai, J. Steude, M.H. Young, S.W. Tyler and P.S. Nico. Synchrotron X-ray Microtomography (XMT)-New Means to Quantify Root Induced Changes of Rhizosphere Physical Properties. Tomography of Soil-Water-Root Processes, Soil Science Society, Stephen H. Anderson and Jan W. Hopmans, Eds., (2013), ISBN: 978-0-89118-958-9, pp. 39-68.

-         J. Zheng, Y. Zhang, E. Regentova, Millimeter-Wave Based IEEE 802.16 Wireless MAN, in "Millimeter-Wave Technology in Wireless PAN, LAN and MAN", Shao-Qiu Xiao, Ming-Tuo Zhou, Eds.,CRC press, Auerbach, (2008), ISBN: 0849382270, pp. 217-243.

JOURNAL ARTICLES

• • D.Wang, E. Regentova, V.Muthukumar, M.Berli, F.Harris, A Machine Learning Framework to Measure Water Drop Penetration Time (WDPT) for Soil Water Repellency Analysis, submitted to Machine Learning with Applications, Elsevier, April 2024.

  • H. Boone, D. Wang,  J. Hilpert,  E. Regentova, V. Muthukumar, S-J. Kim, Motivational dynamics of STEM identity formation: Network analysis of the Dynamic Systems Model of Role Identity (DSMRI), submitted to Journal of Pre-College Engineering Education Research (J-PEER), April 2024.

  • Chato, L.; Regentova, E., Survey of Transfer Learning Approaches in the Machine Learning of Digital Health Sensing Data. J. Pers. Med. 2023, 13, 1703. https://doi.org/10.3390/jpm13121703

  • S. Nasr-Esfahani, V. Muthukumar; E.E. Regentova; K. Taghva; M. B. Trabia, Olive pit detection using Hyperspectrtral imagery, IEEE Access, Volume: 10,  30  May 2022,  pp. 58525 - 58536

  • S. Nasr-Esfahani, V. Muthukumar, E. Regentova, K. Taghva, M.Trabia, Food Recognition Improvement by using Hyper-Spectral Imagery, International Journal of Advanced Computer Research (IJACR), Vol 11(53) ISSN (Print): 2249-7277 ISSN (Online): 2277-7970 http://dx.doi.org/10.19101/IJACR.2021.1152006

  • Yang Jiao, Barbara St. Pierre Schneider, Emma Regentova, Mei Yang, DeepQuantify: deep learning and quantification system of white blood cells in light microscopy images of injured skeletal muscles, Journal of Medical Imaging, 6(2), 024006 (2019). https://doi.org/10.1117/1.JMI.6.2.024006

  • Ali Pour Yazdanpanah, Jessica Hartman, Emma Regentova, Alexander Barzilov, Sparse-View Photon-Neutron Computed Tomography: Object Reconstruction and Material Discrimination, Applied Radiation and Isotopes, Applied Radiation and Isotopes, Volume 132, Pages 1-232 (February 2018).

  • Ali P. Yazdanpanah, E.E. Regentova, Compressed Sensing MRI Based on Shearlet Sparsity and Nonlocal Total Variation: SS-NLTV, Journal of Medical Imaging, 201, 4(2), 026003 (Apr - Jun 2017) 2017.

  • V. Vahidi, E. Saberinia, E. Regentova, An Accurate and Bandwidth Efficient Channel Estimation Method for Airborne Hyperspectral Data Demodulation in 5G Communication Systems, Journal of Applied Remote Sensing (JARS), 11/28/2017

  • F. F. Shahraki, Ali P. Yazdanpanah, E.E. Regentova, V. Muthukumar, A Trajectory Based Method of Automatic Counting of Cyclist in Traffic Video Data, International Journal on Artificial Intelligence Tools, 2017.

  • Ali P. Yazdanpanah, E. E. Regentova, G. Bebis, Algebraic Iterative Reconstruction-Reprojection (AIRR) Method for High Performance Sparse-View CT Reconstruction, Applied Mathematics & Information Sciences, 10, No. 6, 1-8 (2016).

  • V. Vahidi, A. Pour Yazdanpanah, E. Saberinia and E. E. Regentova, Channel estimation, equalization, and evaluation for high-mobility airborne hyperspectral data transmission, IET Communications, vol. 10, no. 18, pp. 2656-2662,2016.

  • J. Hartman, Ali P Yazdanpanah, A. Barzilov, E. Regentova. 3D imaging using combined neutron-photon fan-beam tomography: A Monte Carlo study, Applied Radiation and Isotopes, 111(2016), pp.110-116, 2016.

  • S. Agarwal; E. E. Regentova; P. Kachroo; H. Verma, Multidimensional Compression of ITS Data Using Wavelet-Based Compression Techniques, IEEE Transactions on Intelligent Transportation Systems, vol. PP, no.99, pp.1-11, 2016

  • S. Agarwal, P. Kachroo, E. Regentova, A Hybrid Model Using Logistic Regression and Wavelet Transformation to Detect Traffic Incidents, Elsevier, IATSS Research, Vol. 40, 1, July 2016, pp. 56- 63.

  • Ali P.Yazdanpanah, E. E Regentova, V. Muthukumar and G. Bebis. . Real-Time Horizon Line Detection based on Fusion of Classification and Clustering, International Journal of Computer Applications, 121(10):5-11, July 2015.

  • T. Ahmad, G. Bebis, E. Regentova, Ara Nefian, and T. Fong Coupling Dynamic Programming with Machine Learning for Horizon Line Detection, International Journal of Artificial Intelligence Tools, 08/2015; 24(4):19.

  • A.K. Mandava, E. E. Regentova and M. Berli, A Semi-automated Segmentation of Soil X-ray Microtomography, Elsevier-Procedia Computer Science Journal , 2015

  • A. K. Mandava and E. E. Regentova, Visualization of Nuclear and other non-Commercial Materials using Megavoltage X-ray Technology, Elsevier-Procedia Computer Science Journal, 2015

  • A. K. Mandava, E. E. Regentova, G.Bebis, LFAD: Locally- and Feature-Adaptive Diffusion Based Image Denoising, Applied Mathematics & Information Sciences, v.8, 1, 2014, pp.1-12.

  • L. Zhang, E. E. Regentova, X. Tan, Packet switching optical network-on-chip architectures, Computers and Electrical Engineering, 39, 2, 2013, pp. 697-714.

  • A. K. Mandava, E. E. Regentova, Speckle Noise Reduction Using Local Binary Pattern, Procedia Technology, 6, 2012, pp.574 - 581.

  • A. K. Mandava, E. E. Regentova, Image Diffusion In Connection with Robust M-Estimators, Procedia Engineering, 30, 2012, pp.1138 - 1145.

  • A. Mandava, and E. Regentova, Image denoising based on adaptive nonlinear diffusion in wavelet domain, Journal on Electronic Imaging, 20,3, 2011, pp. 033016(1-7).

  • E. E. Regentova, L.Zhang, A. K. Mandava, V. K. Mandava, K. K. Potetti, G.Chen, Z. Wilson, Advantages and Challenges of Radioscopic Detection of Nuclear Materials in Cargo Containers with Two Megavoltage Energy Barriers, Journal on Nuclear Technology, 175, 1, 2011, pp. 276-285.

  • A.K. Mandava, E.E. Regentova, H. Selvaraj, Real-time on-board object tracking for cooperative flight control, Systems Science, 36, 2, 2010, pp.15-22.

  • L. Zhang, M. Yang, Y. Jiang and E. Regentova, Architectures and Routing Schemes for Optical Network-on-Chips, Computers & Electrical Engineering, 35, 6, 2009, pp. 856-877.

  • R. Varadarajan, J. Zheng, E.E. Regentova, Genetic Search for Optimal Personalized Location Areas for Future PCS Networks, Systems Science, 35, 2, 2009, pp. 82-88.

  • Wu, Xiaolong, Min He, Fei Wang, J. Zheng, E. Regentova, and G. Hao, Performance Analysis of Sub-Rating for Handoff Calls in HCN, Communications, Network and System Sciences, 1, 2009, pp. 1-89.

  • L. Zhang, Y. Jiang, and E.E. Regentova, Fault Tolerant Routing for Wavelength Routed Optical Networking in ONoC, Computers and Applications, 30, 1, 2008, pp. 23-35.

  • J. Zheng and E. Regentova, Independent Component Analysis for Microcalcifications Detection in Digital Mammograms, Information and Communication Technology, 4, 2, 2008, pp.59-64.

  • E. Regentova, L. Zhang, J Zheng, G. Veni, Microcalcification detection based on wavelet domain hidden Markov tree model: Study for inclusion to computer aided diagnostic prompting system, Medical Physics, 34, 6, 2007, pp. 2206-2219.

  • E. Regentova, L. Zhang , G. Veni, Automated Detection of Microcalcification Clusters in Digital Mammograms Based on Wavelet Domain Hidden Markov Tree Modeling, Computer Assisted Radiology and Surgery, 2, Suppl. 1, June 2007, pp. S338-340.

  • J Zheng, E. Regentova, Dynamic Channel Allocation for Quality of Service in GSM/GPRS Networks, Multimedia Cyberspace, 5, 1, 2007, pp. 17-24.

  • E. E. Regentova, D.Yao, S. Latifi, J. Zheng, Image Segmentation Using Ncut in the Wavelet Domain, Image and Graphics, 6, 4, 2006, pp. 569-582.

  • J. Zheng, E. Regentova, CAD system for detecting clustered microcalcifications in digital mammograms using independent component analysis and neural network, Computer Assisted Radiology and Surgery, 1, supl., June 2006, pp. S517-518.

  • V. Muthukumar, E. Regentova, J. Zheng, A. Ponzio, T. Wu, Z. Devlin, Non-Intrusive Eye Detection and Tracking System for Gaze Differentiation, Computational Intelligence: Theory And Practice, 1,1, 2006. pp. 43-58.

  • J. Zheng, E. Regentova, I-Poll: improved polling scheme for augmenting voice support in IEEE 802.11 PCF, IEICE Trans. on Communications, E-89B, 6, 2006, pp. 1964-1967.

  • J. Zheng, Y. Zhang E. Regentova, Virtual Guard Channel for Handoff Calls in Integrated Voice/Data Wireless Networks, IEEE Communications Letters, 10, 4, 2006, pp. 263-265.

  • E. Regentova S Latifi,. De Chen, K.Taghva, D. Yao, Document Analysis by Processing JBIG- encoded Images, Document Analysis and Recognition, 7, 4, 2005, pp. 260 - 272.

  • J. Zheng, E. Regentova, Hybrid Location Update Scheme for Future PCS Networks, IEICE Transactions on Communications, E88-B, 1, 2005, pp.388-391.

  • J. Zheng, S. Latifi, E. Regentova, K.Luo, X.Wu, Diagnosability of star graphs under the comparison diagnosis model, Information Processing Letters, 93, 1, 2005, pp. 29 - 36.

  • J. Zheng and E. Regentova, EDBLU: Enhanced Direction-Based Location Update Scheme for PCS Networks, IEE Electronics Letters, 40, 15, 2004, pp.946-948.

  • J. Zheng, E. Regentova, Performance Analysis of Channel De-allocation Schemes for Dynamic Resource Allocation in GSM/GPRS Network', IEE Electronics Letters, 40, 24, 2004, pp. 1544-1545.

  • E. Regentova, S. Latifi and S. Deng, An Algorithm with Reduced Operations for Connected Components Detection in ITU-T 3/4 Coded Images, IEEE Transactions on Pattern Analysis and Machine Intelligence, 24, 8, 2002, pp.1039-1047.

  • E. Regentova, S. Latifi and S. Deng, Image Similarity Estimation by Processing Compressed Data, Image and Vision Computing, 19, 2001, pp. 485-500.

  • S. Deng, S. Latifi, E. Regentova, Document Segmentation Using Polynomial Spline-Wavelets, Pattern Recognition, 34, 2001, pp. 2533-2545.

• CONFERENCE PROCEEDINGS

  • H. Boone, D. Wang,  E. Regentova, V. Muthukumar, S-J. Kim, J. Hilpert, STEM identity development: Examining the effect of informal summer learning experience on middle school students, Accepted by 2024 ASEE Annual Conference "The future of Engineering Education", June23-26, Portland, Oregon.

  • H. Boone, D. Wang,  J. Hilpert,  E. Regentova, V. Muthukumar, S-J. Kim, Motivational dynamics of STEM identity formation: Network analysis of the Dynamic Systems Model of Role Identity (DSMRI), submitted 4/21/2024 to Journal of Pre-College Engineering Education Research (J-PEER).

  • Ghilmire, M., Regentova, E., & Muthukumar, V. (2020). A-SLIC: Acceleration of SLIC superpixel segmentation algorithms in a co-design framework. In Advances in Intelligent Systems and Computing , Vol. 1134, pp. 663-667, 2021.New York/ NJ: Springer.

  • Esfahani, S., Muthukumar, V., Regentova, E., Taghva, S., & Trabia, M. B. (2020). Complex Food Recognition using Hyper-Spectral Imagery. In 2020 10th Annual Computing and Communication Workshop and Conference (CCWC),  IEEE, 2020, pp. 0662-0667.

  • Yang Jiao, Hana Derakhshan, Barbara St. Pierre- Schneider, Emma Regentova, Mei Yang, Automated quantification of white blood cells in light microscopic images of injured skeletal muscle, in Proc. IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC), Jan. 2018, Las Vegas, NV.

  • Yang Jiao, Barbara St. Pierre Schneider, Emma Regentova, and Mei Yang, Automated Quantification of White Blood Cells in Light Microscopy Muscle Images: Segmentation Augmented by CNN, In Proceedings of the 2nd International Conference on Vision, Image and Signal Processing (ICVISP 2018). ACM, New York, NY, USA, Article 25, 7 pages. DOI: https://doi.org/10.1145/3271553.3271570

  • Ali Pour Yazdanpanah, Farideh Shahraki, Emma Regentova, Sparse View CT Reconstruction Based on Nonconvex L1-L2 Regularization, ICIPACV 2017: International Conference on Image Processing, Analysis and Computer Vision, Apr 24-25, 2017, London, United Kingdom.

  • Ali P.Yazdanpanah, E. E. Regentova, Sparse-View CT Reconstruction Using Curvelet and TV-Based Regularization, Image Analysis and Recognition, Vol. 9730, Lecture Notes in Computer Science, pp. 672-677, 01 July 2016.

  • Barzilov, J. Hartman, A. Pour Yazdanpanah and E. Regentova, Neutron-Photon Computed Tomography of Cargo Containers in a Cone Beam Configuration, 2015, 12th Int. Topical Meeting on the Nuclear Applications of Accelerators, 10 - 13 Nov. 2015, Washington, DC, USA.

  • J.H. Le, Ali P.Yazdanpanah, E. E. Regentova, V. Muthukumar, A Deep Belief Network for Classifying Remotely-Sensed Hyperspectral Data. 11th International Symposium on Visual Computing, ISVC 2015.

  • F. Foroozandeh, Ali P. Yazdanpanah, E.E. Regentova, V. Muthukumar. Bicycle Detection using HOG, HSC and MLBP. 11th International Symposium on Visual Computing, ISVC 2015.

  • T. Ahmad, G. Bebis, E. Regentova, Ara Nefian, and T. Fong, An Experimental Evaluation of Different Features and Nodal Costs for Horizon Line Detection", 10th International Symposium on Visual Computing (ISVC'14), LV, NV, USA, Dec. 8-10, 2014.

  • Ali Pour Yazdanpanah, Ajay K. Mandava, E. E. Regentova, V. Muthukumar, G. Bebis. A CUDA Based Implementation of Locally - and Feature-Adaptive Diffusion Based Image Denoising Algorithm. 11th Int. Conf. on Information Technology: New Generations, ITNG 2014.

  • A. K. Mandava, E. E. Regentova, G.Bebis, LFAD-Feature Based Locally Adaptive Diffusion Based Image Denoising, 2013 International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV'13), Las Vegas, NV, July 22-25, 2013, pp.746-752.

  • Ali P.Yazdanpanah, E.E. Regentova, A. K. Mandava, and G. Bebis, Sky Segmentation by Fusing Clustering with Neural Network, 9th Int. Symp. on Visual Computing, ISVC 2013.

  • T. Ahmad, G. Bebis, E Regentova, and Ara Nefian, A Machine Learning Approach to Horizon Line Detection Using Local Features, 9th Int. Symp. on Visual Computing, ISVC 2013.

  • A. K. Mandava, E. E. Regentova, K Egiazarian, Local Binary Pattern Adaptive Diffusion for Image Denoising, Intern. Conf. on Image Processing, Computer Vision, and Pattern Recognition (IPCV), 2012.

  • Ajay K. Mandava, Emma E. Regentova, Speckle Noise Reduction Using Local Binary Pattern, 2nd International Conference on Communication, Computing & Security [ICCCS-2012].

  • Ajay K. Mandava, Emma E. Regentova, Image Diffusion In Connection With Robust M-Estimators, International Conference on Communication Technology and System Design 2011.

  • A. K. Mandava, E. E. Regentova, Adaptive Non-linear Diffusion in Wavelet Domain, ICIAR 2011, Part I, LNCS 6753, Springer, 2011. pp. 58-68.

  • L. Zhang, E. E. Regentova and X. Tan, A 2D-Torus Based Packet Switching Optical Network-on-Chip Architecture, IEEE Intern. Symp. on Photonics and Optoelectronics (SOPO 2011), Wuhan, China, May 2011, pp.1-4.

  • A. K. Mandava, S. Latifi, E. E. Regentova, Reliability Assessment of Microarray Data Using Fuzzy Classification Methods: A Comparative Study, ACC 2011, Part I, CCIS 190, pp. 351-360, Springer, Heidelberg , 2011, pp.351-360.

  • A. K. Mandava, E. E. Regentova and M. Berli, Image Denoising by Exploring the Context Information in the Wavelet Domain, Advances in Communications, Computers, Systems, Circuits and Devices, European Conference of Circuits Technology and Devices (ECCTD'10), pp.32-36.

  • Mandava, A. K.; Zheng, Lei; Regentova, E. E.; Wilson, Z.; Chen, G., Radioscopic inspection of cargo containers with megavoltage energy barriers, IEEE Intern.Conf. on Systems, Man and Cybernetics, 2009. SMC 2009, 11-14 Oct. 2009, pp.3510 - 3515.

  • L. Zhang, E. E. Regentova, A. Mandava, V. Mandava, S. Curtis, Radioscopic Cargo Screening for Detecting Nuclear Materials with Megavoltage Dual Energy Barriers, HPS 2009 Midyear Proceedings, Recent Advances in Planning and Response to Radiation Emergencies, San Antonio, January 31st, 2009, pp.31-39.

  • J. Zheng, M. Qiao, E. Regentova, Multi-slot Channel Allocation for Priority Packet Transmission in the GPRS Network, Intern.Conf. on Information Technology, New Generation, ITNG 2009, pp. 1152 - 1157.

  • G. Veni, E. E. Regentova, A.K. Mandava, A New Method of Detecting Microcalcification Clusters for Computer Aided Digital Mammography, ICSENG 2008, Nineteenth Intern.Conf.on Systems Engineering , Las Vegas, August 19-21,2008, pp. 532 - 537.

  • R. Varadarajan, E. Regentova, J. Zheng, Personalized Location Area Design with Genetic Algorithm for Future PCS Networks, Nineteenth Intern. Conf. on Systems Engineering (ICSENG 2008), Las Vegas, Aug. 19-21, 2008, pp. 362-367.

  • G. Veni, E.E. Regentova, L. Zhang, Detection of Clustered Microcalcifications using SUSAN Edge Detector, Adaptive Contrast Thresholding and Spatial filters, Intern. Conf. on Image Analysis and Recognition, ICIAR 2008, June 23-28, Porto, Portugal, 2008, pp. 532 - 537.

  • D.Zydek, N.Shlayan, E. E. Regentova, H. Selvaraj, Review of Packet Switching Technologies for Future NoC, Nineteenth Intern. Conf. on Systems Engineering (ICSENG 2008), Las Vegas, August 19-21, 2008, pp.306-311.

  • X. Wu, J. Zheng, E. Regentova, and Y. Jiang, Analysis of the Effect of Channel Sub-rating in Unidirectional Call Overflow Scheme for Call Admission in Hierarchical Cellular Networks, IEEE 65th Semi-Annual Vehicular Technology Conf., Spring 2007, Dublin, Ireland, 1265-1269.

  • V. Muthukumar, E. Regentova, An Efficient Eye tracking and Gaze Differentiation using ANN and Mean-shift Algorithms, Intern. Joint Conf. on Artificial Intelligence, IJCA 2007, Jan.6-12, Hyderabad, India, pp. 39-46.

  • L. Zhang, M. Yang, Y. Jiang, E. Regentova, Recursive Wavelength Routed Optical Network for Optical Network-on-Chips, PDPTA'07- The 2007 Intern. Conf. on Parallel and Distributed Processing Techniques and Applications, Las Vegas, 2007, pp.313-319.

  • J. Zheng; E Regentova, Y. Jiang; Y. Zhang, Performance Analysis of Dynamic Resource Allocation with Channel De-allocation/Re-allocation in GSM/GPRS Networks, 2006 Intern.Conf. on Communications, Circuits and Systems Proceedings, Volume 3, June 2006, pp.1801 - 1805.

  • L. Zhang, M. Yang, Y. Jiang, E. Regentova, and E. Lu, Generalized wavelength routed optical micronetwork in network-on-chip, Proc. IASTED Int'l Conf. Parallel and Distributed Computing Systems (PDCS), 2006, Dallas, TX, pp. 698-703.

  • J. Zheng, E. Regentova, R. Varadarajan, Dynamic Planning of Personalized Location Areas for future PCS networks with Simulated Annealing, IEEE Vehicular Technology Conf. (VTS-2006), Melbourne, Australia, May 8-10, 2006, pp.608-612.

  • E.E. Regentova, L. Zhang, J. Zheng, G. Veni, Detecting Microcalcificatoins in Digital Mammograms Using Wavelet Domain Hidden Markov Model, The 28th Annual Intern.Conf.of the IEEE Engineering in Medicine and Biology Society, 2006, New York, USA, pp.1972-1975.

  • K. Taghva, M.Xu, E. Regentova, T. Nartker, Utilizing XML schema for Describing and Querying Still Image Database, in the 3rd Intern. Conf.of Information Technology: New Generations, April 10-12, Las Vegas, Nevada, 2006, pp.595-600.

  • J. Zheng, E. Regentova, QoS-based Dynamic Channel Allocation for GSM/GPRS Networks, IFIP Intern. Conf. on Network and Parallel Computing 2005, Nov.30th - Dec. 2nd, Beijing, China, pp. 285-294.

  • J. Zheng, E. Regentova, QoS-based Optimal Buffering for Short Message Transfer in GPRS/UMTS Networks, IEEE Vehicular Technology Conference, VTS 2005, Mobile Applications and Services, Stockholm, Sweden, May 30-June 2nd, 2005, pp. 2721-2725.

  • J. Zheng, E. Regentova, An Improved Polling Scheme for Voice Support in IEEE 802.11 Wireless Network, ITCC 2005, April 4-6, Las Vegas, 2005, 603-608.

  • J. Zheng, E. Regentova, and P. K. Srimani, Dynamic Location Management with Personalized Location Area for Future PCS Networks, Lecture Notes in Computer Science: Distributed Computing, Proceedings, IWDC 2004: 6th Intern. Workshop, Kolkata, India, Springer-Verlag, December 27-30, 2004, pp.495-501.

  • J. Zheng, E. Regentova, An Enhanced Direction-Based Location Update Scheme for PCS Networks, IEEE Vehicular Technology Conf.2004-Fall, Wireless Technologies for Global Security, September 26-29, 2004, Los Angeles Airport Marriott Hotel, Los Angeles, CA., pp.3555-3559.

  • J. Zheng, E. Regentova, Probability-based Back-off Priority Scheme for Service Differentiation in IEEE 802.11, The 8th World Multiconf. on Systems, Cybernetics and Informatics, July 18 - 21, 2004 Orlando, Florida, USA, pp.537-542.

  • J. Istle, P. Mandelbaum, E. Regentova, Online Compression of ASCII Files, ITCC 2004, pp.755-759.

  • A. M Grigoryan, S. Dursun, and E. E. Regentova, Statistics Transfer Method of Lossless Encoding, ITCC 2004, pp. 620-624.

  • K. Luo, S. Latifi, K. Taghva, E. Regentova, Recognition and Identification of Form Document Layouts, ITCC 2004, pp.352-356.

  • K. Luo, S. Latifi, E. Regentova, K. Taghva, Form Type Identification Using Hierarchical Trees, CISST'04, pp.69-74.

  • J. Zheng, E. Regentova, Microcalcification Detection Using Independent Component Analysis, MTMBS'04, pp. 64-68.

  • J. Zheng, E. Regentova, Optimal Partitioning Algorithm for Minimizing Signaling Cost under the Delay Constraint, ISWN'04, pp.624-627.

  • K. Kulakkunnath and E. Regentova, Intra-Domain Mobility Management for a Tree-Type Network Topology, CIIT' 2003, 2003, Scottsdale, AZ, pp. 232-237.

  • De Chen, E., Regentova, K. Taghva, Form co-registration, 2003 International Conference on Imaging Science, Systems, and Technology, CISST'03, Las Vegas, June 2003, pp. 145-151.

  • J. Zheng and E. Regentova, Wavelet Based Feature Reduction Method for Accurate Classification of Hyperspectral Data, IEEE Conf. on Information Technologies: Coding and Computing ITCC 2003, LV 2003, pp.483-487.

  • J. Zheng, S, Latifi, E. Regentova, X. Wu, K. Luo, Diagnosabilty of Star Graphs Under the Comparison Diagnosis Model, PDPTA'03, LV, 2003, pp. 731-735.

  • A.M. Grigoryan and E.E. Regentova, A New Method of Optimal Coding, IEEE Conf. on Information Technologies: Coding and Computing (ITCC2002), 2002, LV, NV, US, pp.378-382.

  • E. Regentova, S. Latifi, D. Yao, Document Segmentation Using Context Modeling and Base Resolution Layer of JBIG Compression Scheme, International Conference on Signal and Image Processing (SIP 2002), Kauai, Hawaii, USA, August 12-14, 2002, pp.369-378.

  • E. Regentova, V. Muthukumar, H. Selvaraj, S. Latifi, Integrated Research/Educational Knowledge Base for a New Computer Engineering Curriculum, IASTED International Conference on Computer and Advanced Technology in Education (CATE 2002), Cancun, Mexico, May 20-22, 2002, pp.160-164.

  • D. Yao, E. Regentova and S. Latifi, The Wavelet Probing For Normalized Cuts Framework, CISST 2001, Las Vegas, July, 2001, pp.558-562.

  • E. Regentova, S. Latifi, D. Yao, Connected Components Labeling for ITU Group 6 Encoded Document Images, SCI 2001, Orlando, Florida, vol.VI., 2001, pp. 384-389.

  • E, Regentova, S. Latifi and S. Deng, A Wavelet-Based Technique for Image Similarity Estimation, ITCC 2000, LV, NV, March 26-29, 2000, pp.207-212.

  • S. Deng, S. Latifi and E. Regentova, The Effectiveness of Polynomial Wavelets in Text and Image, IST/SPIE's 12th Annual Intern. Symp., 2000, 23 - 28 January 2000, San Jose, California, pp.259-266.

  • J. Sunata, E. Regentova, S. Latifi, A Line by Line On-Board Compression Algorithm for Astronomical Images, CISST'99, Las Vegas, June 1999, pp. 541-546.