2012

[121] Anne-Marie Giuca, Kerry A. Seitz Jr., Jacob Furst, Daniela Raicu, Expanding diagnostically labeled datasets using content-based image retrieval, IEEE International Conference on Image Processing 2012, September 30 - October 3, Lake Buena Vista, Florida.

[120] Kerry A. Seitz, Jr., Anne-Marie Giuca; Jacob D. Furst, Daniela S. Raicu, "Learning lung nodule similarity using a genetic algorithm", SPIE Medical Imaging 2012, San Diego, USA.

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2011

[119] Zinovev D, Duo Y, Raicu DS, Furst J, Armato SG. Consensus Versus Disagreement in Imaging Research: a Case Study Using the LIDC Database. J Digit Imaging. 2011 Dec 23. DOI: 10.1007/s10278-011-9445-3

[118] Zinovev D., Furst J., and Raicu D. “Building an Ensemble of Probabilistic Classifiers for Lung Nodule Interpretation”, The tenth International Conference on Machine Learning and Applications (ICMLA'11), December 18-21, 2011

[117] Zinovev D., Feigenbaum J., Raicu D. and Furst J., “Probabilistic lung nodule classification with belief decision trees”, In proceedings of 33rd Annual International IEEE EMBS Conference, August 30 - September 3, 2011

[116] Horsthemke WH, Raicu DS, Furst JD, Armato SG, "Evaluation Challenges for Computer-Aided Diagnostic Characterization: Shape Disagreements in the Lung Image Database Consortium Pulmonary Nodule Dataset", Book chapter from: "New Technologies for Advancing Healthcare and Clinical Practices", IGI Global, June, 2011, ISBN13: 9781609607807

[115] Zhang Y.,Tomuro N., Furst J., Raicu D. "Building an ensemble system for diagnosing masses in mammograms". International Journal of Computer Assisted Radiology and Surgery. Issn: 1861-6410 pp 1-7. Doi: 10.1007/s11548-011-0628-7

[114] Zhang Y, Tomuro N, Furst JD, Raicu DS, "Multiple weak segmentors for strong mass segmentation in mammogram", SPIE Medical Imaging, 12-17 February 2011 in Lake Buena Vista (Orlando), Florida, USA. (pdf ~1M)

[113] Bronikowski C. M., Weng A., Furst J., Raicu D., "Prediction of Chronic Fatigue Syndrome Using Decision Tree-based Ensemble Methods", International Conference on Artificial Intelligence (ICAI) 2011, Las Vegas, Nevada (Accepted)

[112] Zinoveva O., Zinovev D., Siena S. A., Raicu D., Furst J., and Armato III S., "A texture-based probabilistic approach for lung nodule segmentation", Lecture Notes in Computer Science, International Conference on Image Analysis and Recognition, 2011 (pdf ~260K).

[111] Raicu D., Urban S., Furst J., Bischof H-P., “Top Issues in Providing Successful Undergraduate Research Experiences”, SIGCSE 2011, March 6-11, 2011, Dallas, Texas.

[110] Gardner, J., Furst, J., Raicu, D., “A context-aware approach to content-based image retrieval of lung nodules,” SPIE Medical Imaging, 12-17 February 2011 in Lake Buena Vista (Orlando), Florida, USA

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2010

[108] Kim R., Dasovich G., Bhaumik R., Brock R., Furst J.D., Raicu D.S., "An Investigation into the Relationship between Semantic and Content Based Similarity using LIDC", ACM International Conference on Multimedia Information Retrieval (MIR) 2010, Philadelphia, Pennsylvania, March 29-31, 2010. (pdf ~652K)

[107] Furst J., Raicu D., "Publishing Undergraduate Research", SIGCSE 2010, Milwaukee, Wisconsin, March 10-13, 2010. (poster)

[106] Siena S., Zinoveva O., Raicu D., Furst J., Armato S., "A shape-dependent variability metric for evaluating panel segmentations with a case study on LIDC data," SPIE Medical Imaging, San Diego, California, February 13-18, 2010 (pdf ~ 352K)

[105] Dasovich G., Kim R., Raicu D., Furst J., "A Model for the Relationship between Semantic and Content Based Similarity using LIDC", SPIE Medical Imaging, San Diego, California, February 13-18, 2010 (pdf ~ 790K)

[104] Horsthemke W., Raicu D., Furst J., “Predicting LIDC diagnostic characteristics by combining spatial and diagnostic opinions”, SPIE Medical Imaging, San Diego, California, February 13-18, 2010 (pdf ~ 276K)

[103] Yu Zhang, Noriko Tomuro, Jacob Furst, Daniela Stan Raicu, “Image Enhancement and Edge-based Mass Segmentation in Mammogram ", SPIE Symposium on Medical Imaging (SPIE MI), 13-18 February 2010 in San Diego, CA. (pdf ~500K)

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2009

[102] Zinovev D., Raicu D., Furst J, Armato S., “Predicting Radiological Panel Opinions using a Panel of Machine Learning Classifiers”, Algorithms 2009, 2, doi:10.3390/a2041473, p-p: 1473-1502. (pdf ~ 640K)

[101] Mortensen, J., Wu, J., Furst, J., Rogers, J., Raicu, D., "Effect of Linearization on Normalized Compression Distance", International Symposium on Signal Processing, Image Processing and Pattern Recognition (SIP 2009), Jeju Island, Korea, December 10-12, 2009 (pdf ~ 1.3M)

[100] J. Wantroba, D. S. Raicu, J. D. Furst, "A statistical analysis of the effects of CT acquisition parameters on low-level features extracted from CT images of the lung. ", IEEE International Conference on Image Processing, Cairo, Egypt, November 7-11 2009. (pdf ~ 160K)

[99] J. Zhang, N. Tomuro, J. D. Furst, D. S. Raicu, "Using BI-RADS Descriptors and Ensemble Learning for Classifying Masses in Mammograms. ", Medical Content-based Retrieval for Clinical Decision Support, London, UK, September 20 2009. (pdf ~ 178K)

[98] E. Apostolova, D.S. Channin, D. Demner-Fushman, J. Furst, S. Lytinen, D. Raicu, "Automatic Segmentation of Clinical Texts", IEEE 2009 International Conference of the Engineering in Medicine and Biology Society (EMBS'09) (PDF ~ 105 KB), September 2009.

 [97] D.S. Raicu, D. Zinovev, J.D. Furst, E. Varutbangkul, "Semi-supervised Learning Approaches for Diagnostic Decision Making", Advances in Medical Intelligent Decision Support Systems Special Issue of the Intelligent Decision Technologies (IDT) Journal, Vol. 3, No. 2, 2009. (pdf ~ 184K)

[96] P. Opulencia, D.S. Channin, D.S. Raicu, J.D. Furst, “Mapping LIDC, RadLex, and Lung Nodule Image Features”, Journal of Digital Imaging (JDI), 2010 . doi: 10.1007/s10278-010-9285-6, p-p: 256-70 (pdf ~ 63K)

[95] T. Heimann, B. Ginneken, M. Styner, Y. Arzhaeva, V. Aurich, D. Raicu. et al., “Comparison of Methods for Liver Segmentation from CT datasets”, IEEE Transactions of Medical Imaging (TMI).

[94] D.S. Raicu, E. Varutbangkul, J.D. Furst, S.G. Armato III, "Modeling semantics from image data: opportunities from LIDC". Special issue "Warehousing and Mining Complex Data: Applications to Biology, Medicine, Behavior, Health and Environment" of the International Journal of Biomedical Engineering, Vol. 2, (3), 2009. (pdf ~ 780K)

[93] J. Furst, D. Raicu, M. Kelly, N. Cooper, “Voronoi probability maps for seed region detection in abdominal CT images”, Proceedings of Computer-Assisted Radiology and Surgery (CARS), Berlin, Germany, June 23rd-27^th, 2009. (extended abstract & talk)

 [92] E. Apostolova, D. Channin, D. Demner-Fushman, J. Furst, S. Lytinen, and D. Raicu, "Automatic Segmentation of Clinical Texts - Preliminary  Results", In the Proceedings of the SoC Research Symposium, May 2009.(Abstract/Early work) (PDF ~ 113 KB)

[91] Z. Ferdowsi, R. Settimi, and D. Raicu, "From Individual Tracts to Community Segments: An unsupervised learning approach for the Chicago community areas", In the Proceedings of the SoC Research Symposium, May 2009. (Abstract/Early work) (PDF ~ 385 KB)

[90] J. Zhang, N. Tomuro, J. Furst, D. Raicu, "A Contour-based Mass Segmentation in Mammograms", In the Proceedings of the SoC Research Symposium, May 2009. (Abstract/Early work). (PDF ~ 191 KB)

[89] D. Zinovev, D. Raicu, and J. Furst, “Semi-supervised Learning Approaches for Predicting Lung Nodules Semantic Characteristics”, In the Proceedings of the SoC Research Symposium, May 2009.(Abstract/Mature work) (PDF ~ 55 KB)

[88] W. Horsthemke, D. Raicu, J. Furst, “Characterizing Pulmonary Nodule Shape using a Boundary-Region Approach”, In the Proceedings of the SoC Research Symposium, May 2009. (Abstract/Mature work) (PDF ~ 101 KB)

[87] D. S. Raicu, J. D. Furst, " Enhancing Undergraduate Education: A REU Model for Interdisciplinary Research ", SIGCSE 2009: The 40th ACM Technical Symposium on Computer Science Education, Chattanooga, TN, March 4-7, 2009. (33% acceptance rate) (pdf ~ 456K)

 [86] S. Yu, J. Wantroba, D. S. Raicu, J. D. Furst, " A study on the effect of CT imaging acquisition parameters on lung nodule image interpretation ", SPIE Medical Imaging Conference, Lake Buena Vista, FL, 7-12 February 2009 (pdf ~ 240K)

[85] S. A. Jabon, D. S. Raicu, J. D. Furst, " Content-based versus semantic-based similarity retrieval: a LIDC case study ", SPIE Medical Imaging Conference, Lake Buena Vista, FL, 7-12 February 2009 (pdf ~ 186K)

[84] W. H. Horsthemke, D. S. Raicu, J. D. Furst, "Characterizing pulmonary nodule shape using a boundary-region approach ", SPIE Medical Imaging Conference, Lake Buena Vista, FL, 7-12 February 2009 (PDF ~ 101 KB)

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2008

[83] E. Varutbangkul, V. Mitrovic, D. Raicu, J. Furst, “Combining Boundaries and Ratings from Multiple Observers for Predicting Lung Nodule Characteristics”, International Conference on Biocomputation, Bioinformatics, and Biomedical Technologies, Bucharest, Romania, 2008. (PDF ~ 281 KB)

[82] P. Opulencia, J. Furst, D. Raicu, “Mapping LIDC, RadLex, and Lung Nodule Image Features”, Radiological Society of North America 2008 Conference, Chicago, Illinois, November 30 – December 5, 2008 (submitted)

[81] C. Philips, D. Li, J. Furst, D. Raicu, “An Analysis of Co-Occurrence and Gabor Texture Classification in 2D and 3D”. CARS 2008 Proceedings. Barcelona, Spain. (PDF ~ 51 KB)  

[80] C. Philips, D. Li, D. Raicu, J. Furst, “Directional Invariance of Co-Occurrence Matrices within the Liver,” International Conference on Biocomputation, Bioinformatics, and Biomedical Technologies. 2008 (PDF ~ 207 KB)

[79] W. H. Horsthemke, D. S. Raicu, J. D. Furst, "Bridging the Evaluation Gap Challenge to Diagnostic Labeling of Pulmonary Nodules", DePaul CDM Research Symposium, 2008 (PDF ~ 459 KB)

[78] W. H. Horsthemke, D. S. Raicu, J. D. Furst, "Evaluation Challenges for Bridging Semantic Gap: Shape Disagreements on Pulmonary Nodules in the Lung Image Database Consortium", International Journal of Healthcare Information Systems and Informatics (IJHISI) Special Edition on Content-based Medical Image Retrieval., 2008 (PDF ~ 540 KB)

[77] Shnayder A, Sillery C, Embree R, Mongkolwat P, Channin D. "Loading DICOM Images and Metadata into the XIP Platform", The 2008 Annual Meeting of the Society for Imaging Informatics in Medicine (SIIM 2008), Seattle, May 2008. Abstract (PDF ~ 22 KB)

[76] Embree R, Sillery C, Channin D. "Automatic Volumetric Breast Density Assessment in the eXtensible Imaging Platform", The 2008 Annual Meeting of the Society for Imaging Informatics in Medicine (SIIM 2008), Seattle, May 2008.(PDF ~ 59 KB)

[75] M. Muhammad, D. Raicu, J. Furst, E. Varutbangkul, "Fourier Descriptors for Lung Nodule Boundary Analysis". The 2008 Annual Meeting of the Society for Imaging Informatics in Medicine (SIIM 2008), Seattle, May 2008. (extended abstract – to appear)

[74] R. Datteri, D. Raicu, J. Furst, "Texture Analysis for Pulmonary Nodules Interpretation and Retrieval". The 2008 Annual Meeting of the Society for Imaging Informatics in Medicine (SIIM 2008), Seattle, May 2008. (PDF ~ 978 KB)

[73] R. Susomboon, D. Raicu, J. Furst, T. B. Johnson “A Co-occurrence texture semi-invariance to direction, distance and patient size”, SPIE Medical Imaging Conference, San Diego, CA, February 2008. (PDF ~ 127 KB)

[72] M. Muhammad, D. Raicu, J. Furst, E. Varutbangkul, "Texture versus Shape Analysis for Lung Nodule Similarity in Computed Tomography Studies", SPIE Medical Imaging Conference, San Diego, CA, February 2008.

[71] A. Mintz, D. Raicu, J. Furst, "Liver Segmentation Combining Gabor Filtering and Traditional Vector Field Snake", SPIE Medical Imaging Conference, San Diego, CA, February 2008.

[70] R. Datteri, D. Raicu, J. Furst, "Texture Analysis for Pulmonary Nodules Interpretation and Retrieval", SPIE Medical Imaging Conference, San Diego, CA, February 2008. (PDF ~ 366 KB)

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2007

[69] C. Phillips, SG. Valencia SG, D.S. Raicu,  J. D. Furst, "A Visualization Approach for Texture-based Comparison of Soft Tissues in Computed Tomography". Chicago Area Undergraduate Research Symposium (CAURS’07), Chicago, April 14th, 2007. (poster)

[68] W. Horsthemke, E. Varutbangkul, D.S. Raicu,  J. D. Furst, "Predictive Data Mining for Lung Nodule Interpretation", In the Proceedings of the Seventh IEEE ICDM'07 Workshop on Data Mining in Medicine, October 2007. (under 25% acceptance rate) (PDF~260K)

[67] W. Horsthemke, D.S. Raicu,  J. D. Furst, "Computationally-Intensive Tasks in Medical Imaging Informatics", Microsoft eScience Workshop, 2007 (PDF~7K)

[66] D. S. Raicu, E. Varutbangkul,  J. D. Furst, S. G. Armato III, "Modeling semantics from image data: opportunities from LIDC", International Journal of Biomedical Engineering and Technology, 2007 (PDF~800K)

[65] M. Lam, T. Disney, D. Raicu, J. Furst, D.S. Channin, "BRISC - An Open Source Pulmonary Nodule Image Retrieval Framework", Journal of Digital Imaging, 2007 (in print). (PDF~428K)
[64] W. Horsthemke, E. Varutbangkul, D.S. Raicu, and J.D. Furst, "Predictive Data Mining for Lung Nodule Interpretation", The Seventh IEEE ICDM'07 Workshop on Data Mining in Medicine, Omaha, NE, USA, October 28 - 31, 2007. (PDF~269K)

[63] R. Susomboon, D.S. Raicu, and J.D. Furst, "A Hybrid Approach for Liver Segmentation", MICCAI'07 Grand Challenge, Brisbane, Australia, October 2007. (PDF~2GB)

[62] W. Horsthemke, D.S. Raicu, and J.D. Furst, "Task-Oriented Medical Image Retrieval", MICCAI'07 Content-based Image Retrieval Workshop, Brisbane, Australia, October 2007. (PDF~488K)

[61] M. Doran, D.S. Raicu, J.D. Furst, R. Settimi, M. Schipma and D. Chandler, “An Empirical Comparison of Machine Learning Algorithms for the Classification of Anthracis DNA Using Microarray Data”, The 3rd International Conference on Intelligent Computing and Information Systems, Egypt, March 15-18, 2007. (PDF~211K)

[60] S. I. Greenblum, M. O. Krucoff, J. Furst, D. Raicu, “An Automated Approach to Image Analysis of Noisy Microarrays”, VISAPP 2007, International Conference on Computer Vision Theory and Applications, Barcelona, Spain, March 8-11, 2007. (PDF~1GB)

[59] T. Disney, M. Lam, D. Raicu, J. Furst, D. Channin, “A Lookup and Reference Tool for Pulmonary Computed Tomography Nodules”, The 2007 Annual Meeting of the Society for Imaging Informatics in Medicine (SIIM 2007), Rhode Island, June 2007. (PDF~366K)

[58] M. Doran, D.S. Raicu, J.D. Furst, R. Settimi, M. Schipma and D. Chandler, “Oligonucleotide Microarray Identification of Bacillus Anthracis Strains using Support Vector Machines", Bioinformatics journal, 2007. doi: 10.1093/bioinformatics/btl626 (HTM~3K)

[57] S. J. Talbot, P. Mongkolwat, T. R. Amirtha, D. S. Channin, “Advancing Advanced Visualization in the Clinical Environment”, The 2007 Annual Meeting of the Society for Imaging Informatics in Medicine (SIIM 2007), Rhode Island, June 2007.  (PDF~19K)

[56] B. Horsthemke, D.S. Raicu, “Texture Feature Analysis for Soft Tissue Organ Classification using PCA and LDA”, SPIE Medical Imaging Conference, San Diego, CA, February 2007. (PDF~1GB)

[55] E. Varutbangkul, J. G. Cisneros, D. S. Raicu, J. D. Furst, D. S. Channin, S. G. Armato III, "Semantics and Image Content Integration for Pulmonary Nodule Interpretation in Thoracic Computed Tomography", SPIE Medical Imaging Conference, San Diego, CA, February 2007. (PDF~1.4GB)

[54] L. Dettori, A. Bashir, J. Hasemann, “Texture Classification of Normal Tissues in Computed Tomography using Gabor filters”, SPIE Medical Imaging Conference, San Diego, CA, February 2007.

[53] M. Pham, R. Susomboon, T. Disney, D. Raicu, J. Furst, “A Comparison of Texture Models for Automatic Liver Segmentation”, SPIE Medical Imaging Conference, San Diego, CA, February 2007. (PDF~400K)

[52] M. Lam, T. Disney, M. Pham, D. Raicu, J. Furst, “Content-Based  Image  Retrieval  for  Pulmonary Computed Tomography Nodule Images”, SPIE Medical Imaging Conference, San Diego, CA, February 2007. (PDF~1.3GB)

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2006  

[51] SG. Valencia , DS. Raicu , J. Furst . "Visualization of Soft Tissues". Autumn Science and Math Science Day Event, DePaul University, November, 2006. (poster)

[50] S. I. Greenblum, M. O. Krucoff, J. Furst, “A Fully-Automated Method for Microarray Image Analysis” , The Seventeenth (17th ) Annual Argonne Symposium for Undergraduates in Science, Engineering and Mathematics, Argonne National Laboratory, IL, November 2006 (Poster).

[49] A. Bashir, J. Hasemann, L. Dettori, "Using Decision Trees for Gabor-based Texture Classification of Tissues in Computed Tomography” , Workshop for Women in Machine Learning (WIML) Co-located with the Grace Hopper Celebration of Women in Computing, San Diego, CA, October 2006 (Poster).

[48] L. Semler, L. Dettori. and W. Kerr, "Ridgelet-based Texture Classification in Computed Tomography",  The 8th IASTED International Conference on Signal and Image Processing, Honolulu, HW, August 2006.  (PDF~260K)

[47] W. Kerr, L. Dettori, and L. Semler, "A Methodology and Metric for Quantitative Analysis and Parameter Optimization of Unsupervised, Multi-Region Image Segmentation", The 8th IASTED International Conference on Signal and Image Processing, Honolulu, HW, August 2006. (PDF~780K)

[46] A. Zayed, L. Dettori, "The Wavelet, Directional Wavelet, and Ridgelet Transforms with Applications to Texture Identification", Modern Mathematical Models, Methods and Algorithms for Real World Systems edited by A.H. Siddiqi, I.Duff and O.Christensen, Anamaya Publisher, New Delhi-London, 2006.

[45] Semler, L. & Dettori, L. "Curvelet-based Texture Classification of Tissues in Computed Tomography,"  IEEE International Conference on Image Processing (ICIP06) Atlanta, GA, USA. October, 2006. (PDF ~ 66K)

[44] R. Susomboon, D.S. Raicu, J.D. Furst, and D.S. Channin, "A Probabilistic Approach for Automatic Liver Segmentation", The 92nd Scientific Assembly and Annual Meeting of Radiology Society of North America (RSNA'06), Chicago, IL, USA, November 26 - December 1st, 2006 (poster and demo)

[43] R. Susomboon, D.S. Raicu, and J.D. Furst, "Automatic Single-Organ Segmentation in Computed Tomography Images", IEEE International Conference on Data Mining, December 2006 (under 20% acceptance rate) (PDF~233K).

[42] J.D. Furst, R. Susomboon, and D.S. Raicu, "Single Organ Segmentation Filters for Multiple Organ Segmentation", IEEE 2006 International Conference of the Engineering in Medicine and Biology Society (EMBS'06), August 2006 (PDF ~180K).

[41] M. Doran, R. Settimi, D. Raicu, J. Furst, D. Chandler, and M. Schipma, "Analysis of a Proposed Universal Fingerprint Microarray", CTI Research Symposium, April 2006. (PDF ~ 50K)

[40] B. Horsthemke and J.D. Furst, "DNA Microarray Spot Detection Using Hough Transforms", CTI Research Symposium, April 2006. (PDF ~ 1MB)

[39] B. Malinga, D.S. Raicu, and J.D. Furst, "Local vs. Global Histogram-based Color Image Clustering", CTI Research Symposium, April 2006.

[38]R. Susomboon, D.S. Raicu, and J.D. Furst, "Pixel-Based Texture Classification of Tissues in Computed Tomography", CTI Research Symposium, April 2006, (Best Paper Award). (PDF ~ 150K)

[37]Y. Zhang, N. Tomuro, D.S. Raicu, and J.D. Furst, "Investigation on Feature Selection to Improve Classification of Abdominal Organs in CT Images", CTI Research Symposium, April 2006. (PDF ~ 68K)

[36] A. Corboy, W. Tsang, D. Raicu, J. Furst, "Texture-Based Image Retrieval for Computerized Tomography Databases", IEEE - Transactions on Information Technology in Biomedicine, 2006 (submitted).

[35] D.S. Raicu, J.D. Furst, D.S. Channin, and R. Susomboon, "Texture Classification of Normal Tissues in Computed Tomography", Journal of Digital Imaging, 2006 (submitted).

[34] L. Semler, L. Dettori, “A Comparison of Wavelet-based and Ridgelet-based Texture Classification of Tissues in Computed Tomography”, International Conference on Computer Vision and Applications, Portugal, February 2006. (PDF ~ 30K)

[33] D.S. Raicu, “Mining Knowledge in Computer Tomography Databases", Multimedia Data Mining and Knowledge Discovery, Springer Publishers. Valery A. Petrushin and Latifur Khan (Eds.), 2006 (PDF ~ 1.4 MB).

[32]. N.J. Backman, B.W. Whitney, J.D. Furst, D.S. Raicu, “A prioritized and adaptive approach to volumetric seeded region growing using texture descriptors”, Proceedings of SPIE Electronic Imaging, San Jose, CA, January 2006. (PDF ~ 530K)

[31] S. Handrick, B. Naimipour, J.D. Furst, D.S. Raicu, “Binning Strategies Evaluation for Tissue Classification in Computed Tomography Images”, Proceedings of SPIE Medical Imaging Conference, San Diego, CA, February 2006. (PDF ~ 95K)

[30] B.W. Whitney, N.J. Backman, J.D. Furst, D.S. Raicu, “Single click volumetric segmentation of abdominal organs in Computed Tomography images” , Proceedings of SPIE Medical Imaging Conference, San Diego, CA, February 2006. (PDF ~ 1.8MB)

[29] R. Lerman, D.S. Raicu, J.D. Furst, “Contrast enhancement of soft-tissues in Computed Tomography images”, Proceedings of SPIE Medical Imaging Conference, San Diego, CA, February 2006. (PDF ~ 50K)

[28] D.S. Raicu and I.K. Sethi, “Synobins: An Intermediate Level Towards Annotation and Semantic Retrieval”, EURASIP Journal on Applied Signal Processing, Hindawi Publishing Corporation, 2006. (PDF ~ 4 MB)

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2005  

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2004

[21] D. Channin, D. S. Raicu, J. D. Furst, D. H. Xu, L. Lilly, C. Limpsangsri, "Classification of Tissues in Computed Tomography using Decision Trees", Poster and Demo, The 90th Scientific Assembly and Annual Meeting of Radiology Society of North America (RSNA04), Chicago, IL, USA, November 28 - December 3rd, 2004. Abstract (PDF ~ 9 KB), Poster (PDF ~ 2.5 MB).

[20] A. Kurani, D. H. Xu, J. D. Furst, & D. S. Raicu, "Co-occurrence matrices for volumetric data", The 7th IASTED International Conference on Computer Graphics and Imaging - CGIM 2004,  Kauai, Hawaii, USA, in August 16-18, 2004. (PDF ~ 590 KB)

[19] D. S. Raicu, J. D. Furst, D. Channin, D. H. Xu, & A. Kurani, "A Texture Dictionary for Human Organs Tissues' Classification", Proceedings of the 8th World Multiconference on Systemics, Cybernetics and Informatics (SCI 2004), Orlando, USA, in July 18-21, 2004. (PDF ~ 207 KB)

[18] Yakov Keselman, Ali Shokoufandeh, M. Fatih Demirci, & Sven Dickinson, "Many-to-many feature matching using spherical coding of directed graphs," Proceedings, 8th European Conference on Computer Vision, Prague, Czech Republic, May 2004.  (PDF ~ 400 KB)

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2003

[17]Daniela Stan, "A Data Mining Framework for Target Marketing", Proceedings of the 18th ISCA International Conference on Computers and Their Applications, March 2003. (PDF ~ 100 KB)

[16]M. Fatih Demirci, Ali Shokoufandeh, Sven Dickinson, and Yakov Keselman, and Lars Bretzner. "Many-to-many graph matching via low-distortion embedding," Proceedings, IEEE Conference on Computer Vision and Pattern Recognition, Madison, Wisconsin, June 2003.  (PDF ~ 600 KB)

[15]M. Fatih Demirci, Ali Shokoufandeh, Yakov Keselman, and Sven Dickinson, and Lars Bretzner. "Many-to-many matching of scale-space feature hierarchies using metric embedding," Lewis D. Griffin and Martin Lillholm, editors, Proceedings, 4th International Conference on Scale-Space Methods in Computer Vision, volume 2695 of Springer LNCS, pages 17--32, Isle of Skye, UK, June 2003.(PDF ~ 1 MB)

[14]Daniela Stan and Ishwar K. Sethi, “eID: A System for Exploration of Image Databases”, Information Processing and Management Journal, 2003, vol.39/3, pp. 335-361, May 2003. (PDF ~ 900 KB).

[13]William H. Horsthemke and Kamal Dahbur(IKS 2003) "Improving Disease Detection with Machine Learning Strategies: Methods to Minimize False Negatives through Cost Sensitive Training," IASTED Information and  Knowledge Sharing Conference. (PDF~200 KB)

[12]Daniela Stan and Ishwar K. Sethi, “Synobins: An intermediate level towards Annotation and Semantic Retrieval”, IEEE Trans. Multimedia (Under Revision).

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2002

[11]Daniela Stan, “Visual Computing”, Proceedings of the CTI Research Symposium, DePaul University, Chicago, Illinois, November 2002 (PDF ~ 4 MB). 

[10]Yakov Keselman and Sven Dickinson. Gregory D. Hager, Henrik I. Christensen, Horst Bunke, and Rolf Klein, editors, "Generic model abstraction from examples," Proceedings, International Workshop on Sensor-Based Intelligent Robots, volume 2238 of Springer LNCS, pages 1--24, Dagstuhl Castle, Germany, October 2002. (PDF ~  600 KB)

[9]Daniela Stan, “A New Approach for Exploration of Image Databases”, Proceedings of the Grace Hopper Celebration of Women in Computing 2002, British Columbia, Canada, October 2002 (PDF ~ 1 MB).

[8]Daniela Stan, “eID: A System for Exploration of Image Databases”, Oakland University, Ph.D. Dissertation, June 2002 (PDF ~ 7 MB).

[7]Daniela Stan and Ishwar K. Sethi, “Color Patterns for Pictorial Content Description”, Proceedings of the 17th ACM Symposium on Applied Computing, pp 693 - 698, March 2002 (PDF ~ 300 KB).

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2001

[6]Daniela Stan and Ishwar K. Sethi, “Image Retrieval using a Hierarchy of Clusters”, Lecture Notes in Computer Science: Advances in Pattern Recognition – ICAPR 2001, Springer-Verlag Ltd. (Ed), pp. 377-388, March 2001 (PDF ~ 200 KB).

[5]Yakov Keselman and Sven Dickinson. "Generic model abstraction from examples," Proceedings, IEEE Conference on Computer Vision and Pattern Recognition, volume 1, pages 856--863, Kauai, Hawaii, December 2001.  (PDF ~ 300 KB)

[4]Yakov Keselman and Sven Dickinson. "Bridging the representation gap between models and exemplars," Proceedings, IEEE Workshop on Models versus Exemplars in Computer Vision, Kauai, Hawaii, December 2001. (PDF ~ 300 KB)

[3]Daniela Stan and Ishwar K. Sethi, “Mapping Low-level Image Features to Semantic Concepts”, Proceedings of SPIE Conference: Storage and Retrieval for Media Databases, pp. 172-179, January 2001 (PDF ~ 100 KB).

[2]Ishwar  K. Sethi, Ioana Coman, and Daniela Stan. "Mining Association Rules between Low-level Image Features and High-level Concepts," Proceedings of SPIE: Data Mining and Knowledge Discovery III, pp.279-290, 2001. (PDF ~ 800 KB)

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1998

[1]Y. Keselman and E. Micheli-Tzanakou. "Extraction and characterization of regions of interest in biomedical images," Proceedings, IEEE International Conference on Information Technology Applications in Biomedicine, pages 87--90, Washington, DC, May 1998. (PDF ~ 200 KB)

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