Publications_updated

  • 2017
    • Vahedian, F., Burke, R. & Mobasher, B. Multi-relational Recommendation in Heterogeneous Networks. ACM Transactions on the Web. 11(3): 15 (34 pages), 2017.

  • 2016
    • Li Huang, Hongkyun Kim, Jacob Furst, Daniela Raicu, “A Run-length Encoding Approach for Path Analysis of C. elegans Search Behavior", Computational and Mathematical Methods in Medicine Journal , 2016, 1-9. doi: 10.1155/2016/3516089

  • 2015
    • Zamacona J, Niehaus R, Rasin A, Furst JD, Raicu DS. Assessing diagnostic complexity: an image feature-based strategy to reduce annotation costs. Comput Biol Med. July 2015
    • Kelly Oh, Linu Abraham, Chandler Gegg, Christian Silvestri, Yung-Chi Huang, Mark Alkema, Jacob Furst, Daniela Raicu, Hongkyun Kim, “Presynaptic BK channel localization is dependent on the hierarchical organization of alpha-catulin and dystrobrevin and fine-tuned by CaV2 calcium channels”, BMC Neuroscience 04/2015.
    • Ron Niehaus, Daniela Raicu, Jacob Furst, Samuel Armato III, “Toward Understanding the Size Dependence of Shape Features for Predicting Spiculation in Lung Nodules for Computer-Aided Diagnosis”, Journal of Digital Imaging 02/2015.
    • Jose Zamacona, Ronald Niehaus, Alexander Rasin, Jacob Furst, Daniela Raicu, “Assessing diagnostic complexity: An image feature-based strategy to reduce annotation costs”, Computers in Biology and Medicine 02/2015; p. 62.
    • Niehaus R, Furst JD., S. Armato, Raicu DS, “The Importance of Shape Features for Computer-Aided Diagnosis of Lung Nodules”, Journal of Digital Imaging, February 2015.
    • Furst JD, Raicu DS, Jason LA. Data Mining. In: Jason LA, Glenwick DS. (Eds.). Methodological approaches to community-based research. Washington, D.C.: American Psychological Association. 2015
    • Moy K., Simonis V., Li W., Story E., Brandon C., Furst J., Raicu D., Kim H., “Computational Methods for Tracking, Quantitative Assessment, and Visualization of C. elegans Locomotory Behavior”, PLOS ONE Journal, 2015.
    • Kelly H. Oh, Linu S. Abraham, Chandler Gegg, Christian Silvestri, Yung-Chi Huang, Mark J. Alkema, Jacob Furst, Daniela Raicu, Hongkyun Kim, “Presynaptic BK channel localization is dependent on the hierarchical organization of alpha-catulin and dystrobrevin and fine-tuned by CaV2 calcium channels”, BMC Neuroscience 2015

  • 2014
    • Watson SP, Ruskin AS, Simonis V, Jason LA, Sunnquist M, Furst JD. Identifying defining aspects of chronic fatigue syndrome via unsupervised machine learning and feature selection. IJMLC. 2014;4(2):133-138.
    • Jason LA, Sunnquist M, Brown A, Evans M, Vernon SD, Furst JD, Simonis V. Examining case definition criteria for chronic fatigue syndrome and myalgic encephalomyelitis. Fatigue. 2014;2(1):40-56.

  • 2013
    • J. Piane, Daniela Raicu, Jacob Furst, “Training industrial robots with gesture recognition techniques”, Proceedings of IS&T/SPIE Electronic Imaging, Burlingame, California, Feb. 3-7, 2013

  • 2012
    • Zhang Y, Tomuro N, Furst J, Raicu D. Building an ensemble system for diagnosing masses in mammograms. IJCARS. 2012;7(2):323-329.

  • 2011
    • Y. Zhang, N. Tomuro, Jacob Furst, Daniela Raicu, “Building an ensemble system for diagnosing masses in mammograms”. International Journal of Computer Assisted Radiology and Surgery; ISSN: 1861-6410, p. 1-7.
    • D. Zinovev, Y. Duo, Daniela Raicu, Jacob Furst, Samuel Armato III, “Consensus Versus Disagreement in Imaging Research: a Case Study Using the LIDC Database”. Journal of Digital Imaging, 12/2011.
    • William H. Horsthemke, Daniela Raicu, Jacob Furst, “Evaluation Challenges for Bridging Semantic Gap”, International journal of healthcare information systems and informatics 07/2011; 4(1), p. 17-33.
    • Jacob V. Gardner, Daniela Raicu, Jacob Furst, “A Context-Aware Approach to Content-Based Image Retrieval of Lung Nodules”, Proceedings of SPIE – The International Society for Optical Engineering 03/2011; p. 7963-85.
    • Yu Zhang, Noriko Tomuro, Jacob Furst, Daniela Raicu, “Building Multiple Weak Segmentors for Strong Mass Segmentation in Mammograms”, Proceedings of SPIE – The International Society for Optical Engineering 03/2011; p. 7962.
    • Zinovev D, Duo Y, Raicu DS, Furst J, Armato SG III. Consensus versus disagreement in imaging research: a case study using the LIDC database. J Digit Imaging. 2011;25(3):423–436.
    • Horsthemke WH, Raicu DS, Furst JD, Armato SG III. Evaluation challenges for computer-aided diagnostic characterization: shape disagreements in the Lung Image Database Consortium pulmonary nodule dataset. In: Tan J, ed. New Technologies for Advancing Healthcare and Clinical Practices. Hershey, PA: IGI Global; 2011: 18-43.
    • Opulencia P, Channin DS, Raicu DS, Furst JD. Mapping LIDC, RadLex, and lung nodule image features. J Digit Imaging. 2011;24(2):256–270.

  • 2010
    • Xuchang Zou, Raffaella Settimi, Jane Cleland-Huang, “Improving automated requirements trace retrieval: A study of term-based enhancement methods”, Empirical Software Engineering 04/2010; 15(2): p. 119-146.
    • P. Opulencia, D.S. Channin, Daniela Raicu, Jacob Furst, “Mapping LIDC, RadLex, and Lung Nodule Image Features”, Journal of Digital Imaging (JDI), p-p: 256-70, 2010.
    • Suzanne Fogel, “Issues in Measurement of Word of Mouth in Social Media Marketing,” International Journal of Integrated Marketing Communications, 2, 54-60, 2010.
    • Suzanne Fogel and T. Berry, “The Disposition Effect and Individual Investor Decisions: The Roles of Regret and Counterfactual Alternatives”, Handbook of Behavioral Finance, Brian Bruce, (Ed.), Edward Elgar: Northampton, MA, 65-80, 2010.
    • Raicu DS, Varutbangkul E, Furst JD, Armato SG III. Modeling semantics from image data: opportunities from LIDC. Int J Biomed Eng Technol. 2010;3(1/2):83-113.

  • 2009
    • Daniela Raicu, D. Zinovev, Jacob 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.
    • Daniela Raicu, E. Varutbangkul, Jacob Furst, Samuel 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.
    • Zinovev D, Raicu D, Furst J, Armato SG III. Predicting radiological panel opinions using a panel of machine learning classifiers. Algorithms. 2009;2(4):1473-1502.
    • Zinovev D, Varutbangkul E, Raicu DS, Furst JD, Armato III SG. Semi-supervised learning approaches for predicting semantic characteristics of lung nodules. Intelligent Decision Technologies. 2009;3(4). DOI: 10.3233/IDT-2009-0056.
    • Heimann T, Ginneken B, Styner M, Arzhaeva Y, Aurich V, Raicu D, et al. Comparison of methods for liver segmentation from CT datasets. IEEE Trans Med Imaging. 2009;28(8):1251-65.
    • Horsthemke WH, Raicu DS, Furst JD. Evaluation challenges for bridging semantic gap: shape disagreements on pulmonary nodules in the Lung Image Database Consortium. Int J Healthc Inf Syst Inform. 2009;4(1):17-33.

  • 2008
    • Stefan Michel, Stephen W. Brown, Andrew S. Gallan, Creating Innovative Service for the Bottom of the Pyramide, Frontiers in Services; 01/2008.

  • 2007
    • Bamshad Mobasher, “Data Mining for Personalization”, In The Adaptive Web: Methods and Strategies of Web Personalization, Brusilovsky, P., Kobsa, A., Nejdl, W. (eds.). Lecture Notes in Computer Science. Vol. 4321. Springer, Berlin Heidelberg, 2007.
    • Bamshad Mobasher, Robin Burke, C. Williams, R. Bhaumik, “Toward Trustworthy Recommender Systems: An Analysis of Attack Models and Algorithms”, ACM Transactions in Internet Technologies, Vol. 7, No. 4, 2007.
    • A. Sieg, Bamshad Mobasher, Robin Burke, “Learning Ontology-Based User Profiles: A Semantic Approach to Personalized Web Search”, IEEE Intelligent Informatics Bulletin, Vol. 8, No. 1, p. 7-18, 2007.
    • Jane Cleland-Huang, Raffaella Settimi, Eli Romanova, Brian Berenbach, Stephen Clark, Best practices for automated traceability, Computer 07/2007; 40(6-40):27 – 35.
    • Jane Cleland-Huang, Raffaella Settimi, Xuchang Zou, Peter Solc, Automated classification of non-functional requirements, Requirements Engineering 05/2007; 12(2):103-120.
    • M Doran, Daniela Raicu, Jacob Furst, R Settimi, M Schipma, D P Chandler, Oligonucleotide microarray identification of Bacillus anthracis strains using support vector machines, Bioinformatics 03/2007; 23(4):487-92.
    • Lam MO, Disney T, Raicu D, Furst J, Channin DS. BRISC – an open source pulmonary nodule image retrieval framework. J Digit Imaging. 2007;20(Suppl 1):63–71.
    • Doran M, Raicu DS, Furst JD, Settimi R, Schipma M, Chandler D. Oligonucleotide microarray identification of bacillus anthracis strains using support vector machines. Bioinformatics. 2007;23(4):487-492.
    • Raicu DS. Mining knowledge in computer tomography databases. In: Petrushin VA, Khan L, eds. Multimedia Data Mining and Knowledge Discovery. Springer Publishers; 2007:487-508.

  • 2006
    • Bamshad Mobasher, B. Liu, B. Masand, O. Nasraoui, “Advances in Web mining and Web Usage Analysis”, Lecture Notes in Computer Science, Volume 3932, Springer, 2006. ISBN: 978-3-540-47127-1.
    • Zayed A, Dettori L. The wavelet, directional wavelet, and ridgelet transforms with applications to texture identification. In: Siddiqi AH, Duff I, Christensen O, eds. Modern Mathematical Models, Methods and Algorithms for Real World Systems. New Delhi-London: Anshan Ltd; 2006.
    • Raicu DS, Sethi IK. Synobins: an intermediate level towards annotation and semantic retrieval. EURASIP Journal on Applied Signal Processing. 2006.

  • 2018
    • Jenuwine NM., Mahesh SN., Furst JD., Raicu DS., “Lung nodule detection from CT scans using 3D convolutional neural networks without candidate selection", SPIE Medical Imaging Symposium, Houston, TX, February 10-15, 2018.
    • Sauter JN., LaBarre VM., Furst JD., and Raicu DS., “An Evaluation of Consensus Techniques for Diagnostic Interpretation", SPIE Medical Imaging Symposium, Houston, TX, February 10-15, 2018.

  • 2017
    • Grant R., Kucher D., Leon A., Gemmell J., and Raicu DS., “Discovery of Informal Topics from Post Traumatic Stress Disorder Forums", in The IEEE 5th International Workshop on Data Mining in Biomedical Informatics and Healthcare, held jointly with the IEEE International Conference on Data Mining, New Orleans, LA, November 18-21, 2017. (BEST PAPER AWARD)
    • Grant R., Kucher D., Leon A., Gemmell J., Raicu DS. and Fodeh S., “Automatic Extraction of Informal Topics from Online Suicidal Ideation", in The ACM 11th International Workshop on Data and Text Mining in Biomedical Informatics, held jointly with the ACM Conference on Information and Knowledge Management, Singapore, November 6, 2017.
    • Grant R., Kucher D., Leon A., Gemmell J., Raicu DS. and Fodeh S., “Automatic Extraction of Informal Topics from Online Suicidal Ideation" in Council of Undergraduate Research’s Research Experiences for Undergraduates Symposium. Alexandria, VA, October 22-23 2017.
    • Deshpande P., Rasin A., Brown E., Furst JD., Raicu DS., Montner S., Armato III SG., in the Proceedings of The First Workshop Medical Informatics and Healthcare held with the 23rd SIGKDD Conference on Knowledge Discovery and Data Mining, Halifax, Nova Scotia, Canada, August 14, 2017.
    • Abdollahpouri, H., Burke, R. & Mobasher, B. Controlling Popularity Bias in Learning-to-Rank Recommendation. In Proceedings of the 11th ACM Conference on Recommender Systems (RecSys ’17), 5 pages. Como, Italy, August 2017.
    • Sarah Bishara, Jennifer Baltes, Taha Hamid, Taihua Li, Denise C. Nacu, Caitlin K. Martin, Jonathan Gemmell, Chris MacArthur, Daniela Raicu, Nichole Pinkard, Revealing Interaction Patterns Among Youth in an Online Social Learning Network Using Markov Chain Principles. The 12th International Conference on Computer Supported Collaborative Learning. Philadelphia, Pennsylvania, June 18-22, 2017.
    • Abdollahpouri, H., Burke, R. & Mobasher, B. Recommender Systems as Multistakeholder Environments. In Proceedings of the 25th Conference on User Modeling and Personalization (UMAP ’17). Bratislava, Slovakia, June 2017.
    • IEEE. Eskandanian, F., Mobasher, B. & Burke, R. A Clustering Approach for Personalizing Diversity in Collaborative Recommender Systems. In Proceedings of the 25th Conference on User Modeling and Personalization (UMAP ’17). Bratislava, Slovakia, June 2017.
    • Vahedian, F., Burke, R. & Mobasher, B. Weighted Random Walk Sampling for Multi-Relational Recommendation. In Proceedings of the 25th Conference on User Modeling and Personalization (UMAP ’17). Bratislava, Slovakia. June 2017.
    • Sheng C., Chaudhari R., Rose SD., Sidky EY., and Pan X., “Choosing anisotropic voxel dimemsions in optimization-based image reconstruction for limited angle CT", SPIE Medical Imaging, Orlando, Florida, February 11-16, 2017. doi: 10.1117/12.2254292
    • Affenit RN., Barns ER., Furst JD., Rasin A.,Raicu DS., “Building confidence and credibility into CAD with belief decision trees", SPIE Medical Imaging, Orlando, Florida, February 11-16, 2017. doi: 10.1117/12.2255559
    • Burke, R., Lucic, A., & Shanahan, J. Circulation Modeling of Library Book Promotions. In 2017 ACM/IEEE Joint Conference on Digital Libraries (JCDL’17), pp. 1-2.
    • D.H. Ton That, G. Fils, Z. Yuan, T. Malik. Sciunits: Reusable Research Objects. In IEEE eScience Conference (eScience), 2017.
    • J. Wagner, A. Rasin, T. Malik, D.H Ton That. PLI: Physical Location Index. In Statistical and Database Conference (SSDBM), 36-42, 2017.
    • J. Wagner, A. Rasin, T. Malik, K. Heart, H. Jehle, J. Grier. Database Forensic Analysis with DBCarver. In Conference on Innovative Database Systems Research (CIDR), 2017.

  • 2016
    • Wang Y., Smith C., Shao M., Li H., Furst J., Kim H., Raicu DS. “C. elegans Search Behavior Analysis Using Dynamic Time Warping Approach". 2016 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2016). Shenzhen, China, Dec 15-18, 2016. doi: 10.1109/BIBM.2016.7822754
    • El-Dirany M., Wang F., Furst J., Rogers J. and Raicu DS., “Compression-based distance methods as an alternative to statistical methods for constructing phylogenetic trees", 2016 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2016). Shenzhen, China, Dec 15-18, 2016. doi: 10.1109/BIBM.2016.7822676
    • Taha Hamid, Denise Nacu, Taihua Li, Jonathan Gemmell, Daniela Stan Raicu, Caitlin Martin, Michael Schutzenhofer, Nichole Pinkard. Recommender System to Support Brokering of Youth Learning Opportunities. EdRecSys Workshop held in conjunction with IEEE/WIC/ACM International Conference on Web Intelligence Workshops Omaha, Nebraska. October 13-16, 2016.
    • Greg Zanotti, Miller Horvath, Lucas Nunes Barbosa, Venkata Trinadh Kumar Gupta Immedisetty, Jonathan Gemmell. Infusing Collaborative Recommenders with Distributed Representations. Proceedings of the 1st Workshop on Deep Learning for Recommender Systems. Boston, Massachusetts. September 15, 2016.
    • Denise Nacu, Caitlin Martin, Nichole Pinkard, Taha Hamid, Taihua Li, Daniela Stan Raicu, Jonathan Gemmell. Helping Educators Leverage Youth Interest in STEM Out-of-School Programs. Proceedings of Research on Equity and Sustained Participation in Engineering, Computing, and Technology (RE-SPECT). Boston, Massachusetts. August 11-13, 2016.
    • Carrazza M., Kennedy B., Furst J., Rasin A., Raicu DS., “Investigating the effects of majority voting on CAD systems: an LIDC case study", SPIE Medical Imaging. San Diego, California, February 27- March 3, 2016. doi: 10.1117/12.2217328
    • Perkhounkov B., Stec J., Sidky EY., Pan X., “X-ray spectrum estimation from transmission measurements by an exponential of a polynomial model", SPIE Medical Imaging. San Diego, California, February 27 – March 3, 2016. doi:10.1117/12.2217100
    • Looper J., Harrison M., Armato III SG., “A CAD system to detect pathologies in temporal subtraction images of chest radiographs", SPIE Medical Imaging, San Diego, California, February 27 – March 3, 2016. doi: 10.1117/12.2217105
    • Looper J., Harrison M., Armato III SG., “Adaptive thresholding of chest temporal subtraction images in computer-aided diagnosis of pathologic change", SPIE Medical Imaging, San Diego, California, February 27 – March 3, 2016. doi: 10.1117/12.2217177
    • Eskandanian, F., Mobasher, B.,& Burke, R. User Segmentation for Controlling Recommendation Diversity. In Poster Proceedings of the 10th ACM Conference on Recommender Systems. 2016. http://ceur-ws.org/Vol-1688/paper-24.pdf, 2 pages.
    • Vahedian, F., Burke, Robin D., & Mobasher, B. Weighted Random Walks for Meta-Path Expansion in Heterogeneous Networks. In Poster Proceedings of the 10th ACM Conference on Recommender Systems. 2016. http://ceur-ws.org/Vol-1688/paper-11.pdf, 2 pages.
    • Vahedian, F., Burke, Robin D., & Mobasher, B. Meta-Path Selection for Extended Multi-Relational Matrix Factorization. In Proceedings of the 29th International Florida AI Research Symposium (FLAIRS ’16), pp. 566-571.
    • Zheng, Y, Mobasher, B., & Burke, R. User-Oriented Context Suggestion. In Proceedings of the 24th Conference on User Modeling and Personalization (UMAP ’16), pp. 249-258.

  • 2015
    • Brendan Kennedy, Miguel Carrazza, Jacob Furst, Alex Rasin, Raicu D., “Applying Association Rule Mining to Semantic Data in the Lung Image Database Consortium”, IEEE International Conference in Data Mining, Atlantic City, New Jersey, November 14 – 17, 2015
    • Bamshad Mobasher, Robin Burke, Yong Zheng, CARSKit: A Java-Based Context-aware Recommendation Engine, Proceedings of the 15th IEEE International Conference on Data Mining (ICDM 2015), Atlantic City, NJ, USA, Nov 2015; 11/2015.
    • Bamshad Mobasher, Robin Burke, Yong Zheng, Similarity-Based Context-Aware Recommendation, Proceedings of the 16th International Conference on Web Information Systems Engineering (WISE 2015), Miami Beach, Florida, USA, Nov 2015; 11/2015.
    • Bamshad Mobasher, Robin Burke, Yong Zheng, Incorporating Context Correlation into Context-aware Matrix Factorization, Proceedings of the 24th International Joint Conferences on Artificial Intelligence (IJCAI 2015), Buenos Aires, Argentina, July 2015; 07/2015.
    • Bamshad Mobasher, Robin Burke, Yong Zheng, Integrating Context Similarity with Sparse Linear Recommendation Model, The 23rd Conference on User Modeling, Adaptation and Personalization (UMAP 2015), Dublin, Ireland, June 2015, Dublin, Ireland; 06/2015.
    • Bamshad Mobasher, Robin Burke, Yong Zheng, Correlation-Based Context-aware Matrix Factorization, Proceedings of School of Computing Research Symposium (SOCRS 2015), DePaul University, Chicago, May 29, 2015; 05/2015.
    • Riely A, Sablan K, Fang X, Furst JD, Raicu DS. Reducing annotation cost and uncertainty in computer-aided diagnosis through selective iterative classification. Paper presented at: SPIE Medical Imaging 2015. Proceedings of the 10th SPIE Medical Imaging Conference; 2015 Feb 21-26; Orlando, FL.
    • Zhang Y, Tomuro N, Furst JD, Raicu DS. Using logistic regression to identify the optimal segmentor from multiple weak segmentors for mass classification in mammograms. Paper presented at: SPIE Medical Imaging 2015. Proceedings of the 10th SPIE Medical Imaging Conference; 2015 Feb 21-26; Orlando, FL.
    • Margolin E, Molina-Puentes M, Raicu DS, Furst JD. Classification of lung nodules through machine sourced segmentations and outlier filtering. Paper presented at: SPIE Medical Imaging 2015. Proceedings of the 10th SPIE Medical Imaging Conference; 2015 Feb 21-26; Orlando, FL.

  • 2014
    • Seidel M, Rasin A, Furst J, Raicu D. Understanding diagnostic complexity: achieving consensus in medical image annotation. Paper presented at: ICDM 2014. Proceedings of the IEEE Workshop on Data Mining in Biomedical Informatics and Healthcare (DMBIH), in conjunction with the 14th IEEE International Conference on Data Mining (ICDM); 2014 Dec 14-17; Shenzhen, China. (BEST PAPER AWARD).
    • Molina-Puentes M, Furst J, Raicu D. Machine-sourced segmentations vs. expert-sourced segmentations for the classification of lung nodules with outlier removal. Paper presented at: ICMLA 2014. Proceedings of the 13th IEEE International Conference on Machine Learning and its Applications (ICMLA); 2014 Dec 3-6; Detroit, MI.
    • Bamshad Mobasher, Robin Burke, Yong Zheng, Deviation-Based Contextual SLIM Recommenders, Proceedings of the 23rd ACM Conference on Information and Knowledge Management (ACM CIKM 2014), Shanghai, P.R.China, Nov 2014; 11/2014.
    • Bamshad Mobasher, Robin Burke, Yong Zheng, CSLIM: Contextual SLIM recommendation algorithms, Proceedings of the 8th ACM Conference on Recommender Systems (ACM RecSys 2014), Silicon Valley, Foster City, CA USA, Oct 2014; 10/2014.
    • Bamshad Mobasher, Robin Burke, Yong Zheng, Context Recommendation Using Multi-label Classification, Proceedings of the 13th IEEE/WIC/ACM Conference on Web Intelligence (IEEE/WIC/ACM WI 2014), p. 288-295, Warsaw, Poland, Aug 2014; 08/2014.
    • Bamshad Mobasher, Robin Burke, Yong Zheng, Splitting Approaches for Context-Aware Recommendation: An Empirical Study, Proceedings of the 29th ACM Symposium on Applied Computing (ACM SAC 2014), Gyeongju, Korea, Mar 2014; 03/2014.

  • 2013
    • Zamacona J, Rasin A, Furst JD, Raicu DS. Reducing classification cost through strategic annotation assignment. Paper presented at: ICDMW 2013. Proceedings of the IEEE Workshop on Data Mining in Biomedical Informatics and Healthcare (DMBIH), in conjunction with the 13th IEEE International Conference on Data Mining (ICDM); 2013 Dec 7-10; Dallas, TX.
    • Smith E, Stein P, Furst J, Raicu DS. Weak segmentations and ensemble learning to predict semantic ratings of lung nodules. Paper presented at: ICMLA 2013. Proceedings of the 12th IEEE International Conference on Machine Learning and its Applications (ICMLA); 2013 Dec 4-7; Miami, FL.
    • Zahra Ferdowsi, Rayid Ghani, Raffaella Settimi, Online Active Learning with Imbalanced Classes, 2013 IEEE International Conference on Data Mining (ICDM); 12/2013.
    • Jose R. Zamacona, Alexander Rasin, Jacob Furst, Daniela Raicu, Reducing Classification Cost through Strategic Annotation Assignment, Proceedings of the 2013 IEEE 13th International Conference on Data Mining Workshops; 12/2013.
    • Ethan Smith, Patrick Stein, Jacob Furst, Daniela Raicu, Weak Segmentations and Ensemble Learning to Predict Semantic Ratings of Lung Nodules, Proceedings of the 2013 12th International Conference on Machine Learning and Applications; 12/2013.
    • Bamshad Mobasher, Robin Burke, Yong Zheng, The Role of Emotions in Context-aware Recommendation, Proceedings of the 7th ACM Conference on Recommender Systems (RecSys 2013), Hong Kong, P.R.China, Oct 2013, Hong Kong; 10/2013.
    • Williams S, Harris M, Furst J, Raicu D. Area under the distance threshold curve as an evaluation measure for probabilistic classifiers. Paper presented at: MLDM 2013. Proceedings of the 9th International Conference on Machine Learning and Data Mining (MLDM); 2013 Jul 19-25; New York, NY.
    • Bamshad Mobasher, Robin Burke, Yong Zheng, Recommendation with Differential Context Weighting, The 21st Conference on User Modeling, Adaptation and Personalization (UMAP 2013); 06/2013.
    • Bamshad Mobasher, Robin Burke, Yong Zheng, Differential Context Modeling in Collaborative Filtering, Proceedings of School of Computing Research Symposium (SOCRS 2013), DePaul University, Chicago, IL USA, May 31, 2013; 05/2013.
    • Alexander Rasin, Stan Zdonik, An automatic physical design tool for clustered column-stores, Proceedings of the 16th International Conference on Extending Database Technology; 03/2013.
    • Piane JR, Raicu D, Furst J. Training industrial robots with gesture recognition techniques. Paper presented at: SPIE Electronic Imaging 2013. Proceedings of the 8th SPIE Electronic Imaging Conference; 2013 Feb 3-7; Burlingame, CA.

  • 2012
    • Laura Christiansen, Thomas Schimoler, Robin Burke, Bamshad Mobasher, Modeling topic trends on the social web using temporal signatures, Proceedings of the twelfth international workshop on Web information and data management; 11/2012.
    • Giuca A, Seitz KA Jr, Furst J, Raicu D. Expanding diagnostically labeled datasets using content-based image retrieval. Paper presented at: ICIP 2013. Proceedings of the IEEE 19th International Conference on Image Processing (ICIP); 2012 Sep 30-Oct 3; Lake Buena Vista, FL.
    • Seitz KA Jr, Giuca A; Furst J, Raicu D. Learning lung nodule similarity using a genetic algorithm. Paper presented at: SPIE Medical Imaging 2012. Proceedings of the 7th SPIE Medical Imaging Conference; 2012 Feb 23; San Diego, CA.
    • Bamshad Mobasher Robin Burke Yong Zheng, Optimal Feature Selection for Context-Aware Recommendation using Differential Relaxation, Proceedings of the 4th International Workshop on Context-Aware Recommender Systems (CARS 2012); 01/2012.
    • Bamshad Mobasher Robin Burke Yong Zheng, Differential Context Relaxation for Context-Aware Travel Recommendation, 13th International Conference on Electronic Commerce and Web Technologies (EC-WEB 2012); 01/2012.
    • A. Giuca, K. Seitz Jr., Jacob Furst, Daniela Raicu, “Learning lung nodule similarity using a genetic algorithm”, SPIE Medical Imaging , San Diego, USA, 2012

  • 2011
    • Zinovev D, Furst J, Raicu D. Building an ensemble of probabilistic classifiers for lung nodule interpretation. Paper presented at: ICMLA 2011. Proceedings of the 10th IEEE International Conference on Machine Learning and Applications (ICMLA; 2011 Dec 18-21; Honolulu, HI.
    • Zinovev D, Feigenbaum J, Raicu D, Furst J. Probabilistic lung nodule classification with belief decision trees. Paper presented at: EMBS 2011. Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC); 2011 Aug 30-Sep 3; Boston, MA.
    • Jonathan Gemmell, Thomas Schimoler, Bamshad Mobasher, Robin Burke, Recommendation by Example in Social Annotation Systems, 12th International Conference on Electronic Commerce and Web Technologies (EC-WEB 2011), Toulouse, France, August 30 – September 1, 2011; 01/2011.
    • Bronikowski CM, Weng A, Furst J, Raicu D. Prediction of chronic fatigue syndrome using decision tree-based ensemble methods. Paper presented at: ICAI 2011. Proceedings of the 13th International Conference on Artificial Intelligence (ICAI); 2011 Jul 18-21; Las Vegas, NV.
    • Jonathan Gemmell, Thomas Schimoler, Bamshad Mobasher, Robin Burke, Tag-Based Resource Recommendation in Social Annotation Applications, 19th International Conference on User Modeling, Adaption and Personalization (UMAP 2011), Girona, Spain, July 11-15, 2011. Proceedings; 01/2011.
    • Negar Hariri, Bamshad Mobasher, Robin Burke, Yong Zheng, Context-Aware Recommendation Based On Review Mining, Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI 2011), Barcelona, Spain; 07/2011.
    • Zinoveva O, Zinovev D, Siena SA, Raicu D, Furst J, Armato SG III. A texture-based probabilistic approach for lung nodule segmentation. Paper presented at: ICIAR 2011. Proceedings of the 8th International Conference of Image Analysis and Recognition; 2011 Jun 22-24; Burnaby, BC, Canada. Lecture Notes in Computer Science. 2011;6754:21-30.
    • Horatiu Dumitru, Marek Gibiec, Negar Hariri, Jane Cleland-Huang, Bamshad Mobasher, Carlos Castro-Herrera Mehdi Mirakhorli, On-demand feature recommendations derived from mining public product descriptions, Proceedings of the 33rd International Conference on Software Engineering (ICSE 2011), Waikiki, Honolulu, HI, USA, May 21-28, 2011; 01/2011.
    • Raicu D, Urban S, Furst J, Bischof HP. Top issues in providing successful undergraduate research experiences. Paper presented at: SIGCSE 2011. Proceedings of the 42nd ACM technical symposium on computer science education; 2011 Mar 6-11; Dallas, TX.
    • Gardner J, Furst J, Raicu D. A context-aware approach to content-based image retrieval of lung nodules. Paper presented at: SPIE Medical Imaging 2011. Proceedings of the 6th SPIE Medical Imaging Conference; 2011 Feb 12-17; Lake Buena Vista, FL.
    • Zhang Y, Tomuro N, Furst JD, Raicu DS. Multiple weak segmentors for strong mass segmentation in mammogram. Paper presented at: SPIE Medical Imaging 2011. Proceedings of the 6th SPIE Medical Imaging Conference; 2011 Feb 12-17; Lake Buena Vista, FL.
    • Bronikowski C. M., Weng A., Jacob Furst, Daniela Raicu, “Prediction of Chronic Fatigue Syndrome Using Decision Tree-based Ensemble Methods”, International Conference on Artificial Intelligence (ICAI), Las Vegas, Nevada, 2011.
    • O. Zinoveva, D. Zinovev, Siena S. A., Daniela Raicu, Jacob Furst, Samuel Armato III, “A texture-based probabilistic approach for lung nodule segmentation”, Lecture Notes in Computer Science, International Conference on Image Analysis and Recognition, 2011.
    • D. Zinovev, J. Feigenbaum, Daniela Raicu, Jacob Furst, “Probabilistic lung nodule classification with belief decision trees”, 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

  • 2010
    • Jonathan Gemmell, Thomas Schimoler, Bamshad Mobasher, Robin Burke, Hybrid tag recommendation for social annotation systems, Proceedings of the 19th ACM Conference on Information and Knowledge Management, CIKM 2010, Toronto, Ontario, Canada, October 26-30, 2010; 01/2010.
    • Jonathan Gemmell, Thomas Schimoler, Bamshad Mobasher, Robin Burke, Resource Recommendation in Collaborative Tagging Applications, 11th International Conference on Electronic Commerce and Web Technologies (EC-WEB 2010), Bilbao, Spain, September 1-3, 2010; 01/2010.
    • Zahra Ferdowsi, Raffaella Settimi, Daniela Raicu, An Application of Clustering Techniques to Urban Studies, Proceedings of The 2010 International Conference on Data Mining (DMIN 2010), July 12-15, 2010, Las Vegas, Nevada, USA; 01/2010.
    • Kim R, Dasovich G, Bhaumik R, Brock R, Furst JD, Raicu DS. An investigation into the relationship between semantic and content based similarity using LIDC. Paper presented at: MIR 2010. Proceedings of the 11th ACM International Conference on Multimedia Information Retrieval (MIR); 2010 Mar 29-31; Philadelphia, PA.
    • Furst J, Raicu D. Publishing undergraduate research. Poster presented at: SIGCSE 2010. 2010 Mar 10-13; Milwaukee, WI.
    • Siena S, Zinoveva O, Raicu D, Furst J, Armato SG III. A shape-dependent variability metric for evaluating panel segmentations with a case study on LIDC data. Paper presented at: SPIE Medical Imaging 2010. Proceedings of the 5th SPIE Medical Imaging Conference; 2010 Feb 13-18; San Diego, CA.
    • Dasovich G, Kim R, Raicu D, Furst J. A model for the relationship between semantic and content based similarity using LIDC. Paper presented at: SPIE Medical Imaging 2010. Proceedings of the 5th SPIE Medical Imaging Conference; 2010 Feb 13-18; San Diego, CA.
    • Horsthemke W, Raicu D, Furst J. Predicting LIDC diagnostic characteristics by combining spatial and diagnostic opinions. Paper presented at: SPIE Medical Imaging 2010. Proceedings of the 5th SPIE Medical Imaging Conference; 2010 Feb 13-18; San Diego, CA.
    • Zhang Y, Tomuro N, Furst J, Raicu DS. Image enhancement and edge-based mass segmentation in mammogram. Paper presented at: SPIE Medical Imaging 2010. Proceedings of the 5th SPIE Medical Imaging Conference; 2010 Feb 13-18; San Diego, CA.

  • 2009
    • Mortensen J, Wu J, Furst J, Rogers J, Raicu D. Effect of linearization on normalized compression distance. Paper presented at: SIP 2009. Proceedings of the 2nd International Symposium on Signal Processing, Image Processing and Pattern Recognition; 2009 Dec 10-12; Jeju Island, Korea.
    • Wantroba J, Raicu DS, Furst JD. A statistical analysis of the effects of CT acquisition parameters on low-level features extracted from CT images of the lung. Paper presented at: ICIP 2009. Proceedings of the 16th IEEE International Conference on Image Processing; 2009 Nov 7-11; Cairo, Egypt.
    • Jonathan Gemmell, Maryam Ramezani, Thomas Schimoler, Laura Christiansen, Bamshad Mobasher, The impact of ambiguity and redundancy on tag recommendation in folksonomies, Proceedings of the 2009 ACM Conference on Recommender Systems (RecSys 2009), New York, NY, USA, October 23-25, 2009; 01/2009.
    • Dietmar Jannach Werner, Geyer Casey, Dugan Jill, Freyne Sarabjot, Singh Anand, Bamshad Mobasher, Alfred Kobsa, Workshop on recommender systems and the social web, Proceedings of the 2009 ACM Conference on Recommender Systems (RecSys 2009), New York, NY, USA, October 23-25, 2009; 01/2009.
    • Carlos Castro-Herrera, Jane Cleland-Huang, Bamshad Mobasher, A recommender system for dynamically evolving online forums, Proceedings of the 2009 ACM Conference on Recommender Systems (RecSys 2009), New York, NY, USA, October 23-25, 2009; 01/2009.
    • Y. Zhang, Noriko Tomuro, Jacob Furst, Daniela Raicu, Using BI-RADS Descriptors and Ensemble Learning for Classifying Masses in Mammograms, Medical Content-Based Retrieval for Clinical Decision Support, 1st MICCAI International Workshop (MCBR-CDS 2009), London, UK, September 20, 2009; 09/2009.
    • Apostolova E, Channin DS, Demner-Fushman D, Furst J, Lytinen S, Raicu D. Automatic segmentation of clinical texts. Paper presented at: EMBC 2009. Proceedings of the 31st International Conference of the IEEE Engineering in Medicine and Biology Society; 2009 Sep 3-6; Minneapolis, MN.
    • Carlos Castro-Herrera, Jane Cleland-Huang, Bamshad Mobasher, Enhancing Stakeholder Profiles to Improve Recommendations in Online Requirements Elicitation – RE 2009, 17th IEEE International Requirements Engineering Conference, Atlanta, Georgia, USA, August 31 – September 4, 2009; 01/2009.
    • M. Ramezani, J.J. Sandvig, T. Schimoler, Jonathan Gemmell, Bamshad Mobasher, Robin Burke, “Evaluating the Impact of Attacks in Collaborative Tagging Environments”, IEEE International Conference on Social Computing, Vancouver, Canada, August 2009. CSE (4) 2009: p. 136-143.
    • Andrew Pavlo, Erik Paulson, Alexander Rasin, Daniel J. Abadi, David J. DeWitt, Samuel Madden, Michael Stonebraker, A Comparison of approaches to large-scale data analysis, Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2009), Providence, Rhode Island, USA, June 29 – July 2, 2009; 01/2009.
    • Furst J, Raicu D, Kelly M, Cooper N. Voronoi probability maps for seed region detection in abdominal CT images. Paper presented at: CARS 2009. Proceedings of the 23rd Computer Assisted Radiology and Surgery Congress and Exhibition; 2009 Jun 23-27; Berlin, Germany.
    • Apostolova E, Channin DS, Demner-Fushman D, Furst J, Lytinen S, Raicu D. Automatic segmentation of clinical texts – preliminary results. Abstract presented at: SOCRS 2009. Proceedings of the DePaul University School of Computing Research Symposium; 2009 May; Chicago, IL.
    • Ferdowsi Z, Settimi R, Raicu D. From individual tracts to community segments: an unsupervised learning approach for the Chicago community areas. Abstract presented at: SOCRS 2009. Proceedings of the DePaul University School of Computing Research Symposium; 2009 May; Chicago, IL.
    • Zhang J, Tomuro N, Furst J, Raicu D. A contour-based mass segmentation in mammograms. Abstract presented at: SOCRS 2009. Proceedings of the DePaul University School of Computing Research Symposium; 2009 May; Chicago, IL.
    • Zinovev D, Raicu D, Furst J. Semi-supervised learning approaches for predicting lung nodules semantic characteristics. Abstract presented at: SOCRS 2009. Proceedings of the DePaul University School of Computing Research Symposium; 2009 May; Chicago, IL.
    • Horsthemke W, Raicu D, Furst J. Characterizing pulmonary nodule shape using a boundary-region approach. Paper presented at: SOCRS 2009. Proceedings of the DePaul University School of Computing Research Symposium; 2009 May; Chicago, IL.
    • Carlos Castro-Herrera, Chuan Duan, Jane Cleland-Huang, Bamshad Mobasher, A recommender system for requirements elicitation in large-scale software projects, Proceedings of the 2009 ACM Symposium on Applied Computing (SAC 2009), Honolulu, Hawaii, USA, March 9-12, 2009; 01/2009.
    • Raicu DS, Furst JD. Enhancing undergraduate education: a REU model for interdisciplinary research. Paper presented at: SIGCSE 2009. Proceedings of the 40th ACM Technical Symposium on Computer Science Education; 2009 Mar 4-7; Chattanooga, TN.
    • Yu S, Wantroba J, Raicu DS, Furst JD. A study on the effect of CT imaging acquisition parameters on lung nodule image interpretation. Paper presented at: SPIE Medical Imaging Conference 2009. Proceedings of the 4th SPIE Medical Imaging Conference; 2009 Feb 7-12; Lake Buena Vista, FL.
    • Jabon SA, Raicu DS, Furst JD. Content-based versus semantic-based similarity retrieval: a LIDC case study. Paper presented at: SPIE Medical Imaging Conference 2009. Proceedings of the 4th SPIE Medical Imaging Conference; 2009 Feb 7-12; Lake Buena Vista, FL.
    • Horsthemke WH, Raicu DS, Furst JD. Characterizing pulmonary nodule shape using a boundary-region approach Paper presented at: SPIE Medical Imaging Conference 2009. Proceedings of the 4th SPIE Medical Imaging Conference; 2009 Feb 7-12; Lake Buena Vista, FL.
    • Jonathan Gemmell, Thomas Schimoler, Maryam Ramezani, Bamshad Mobasher, Adapting K-Nearest Neighbor for Tag Recommendation in Folksonomies, Proceedings of the 21st International Joint Conference on Artificial Intelligence (IJCAI 2009); 01/2009.

  • 2008
    • Opulencia P, Furst J, Raicu D. Mapping LIDC, RadLex, and Lung Nodule Image Features. Paper presented at: RSNA 2008. Proceedings of the 94th Scientific Assembly and Annual Meeting of the Radiological Society of North America; 2008 Nov 30 – Dec 5; Chicago, Illinois.
    • Andriy Shepitsen, Jonathan Gemmell, Bamshad Mobasher, Robin Burke, Personalized recommendation in social tagging systems using hierarchical clustering, Proceedings of the 2008 ACM Conference on Recommender Systems (RecSys 2008), Lausanne, Switzerland, October 23-25, 2008; 01/2008.
    • Jonathan Gemmell, A. Shepitsen, Bamshad Mobasher, Robin Burke, “Personalizing Navigation in Folksonomies Using Hierarchical Tag Clustering”, Proceedings of the 10th International Conference on Data Warehousing and Knowledge Discovery (DaWaK ’08), Turin, Italy. Lecture Notes in Computer Science 5182, pp. 196-205, Springer, September, 2008.
    • Xuchang Zou, Raffaella Settimi, Jane Cleland-Huang, Evaluating the Use of Project Glossaries in Automated Trace Retrieval, Proceedings of the 2008 International Conference on Software Engineering Research & Practice (SERP 2008), July 14-17, 2008, Las Vegas Nevada, USA; 01/2008.
    • Varutbangkul E, Mitrovic V, Raicu D, Furst J. Combining boundaries and ratings from multiple observers for predicting lung nodule characteristics. Paper presented at: BIOTECHNO 2008. Proceedings of the 2008 International Conference on Biocomputation, Bioinformatics, and Biomedical Technologies; 2008 Jun 29-Jul5; Bucharest, Romania.
    • Philips C, Li D, Raicu D, Furst D. Directional invariance of co-occurrence matrices within the liver. Paper presented at: BIOTECHNO 2008. Proceedings of the International Conference on Biocomputation, Bioinformatics, and Biomedical Technologies; 2008 Jun 29-Jul5; Bucharest, Romania.
    • Philips C, Li D, Furst D, Raicu D. An analysis of co-occurrence and gabor texture classification in 2D and 3D. Paper presented at: CARS 2008. Proceedings of the 22nd Computer Assisted Radiology and Surgery Congress and Exhibition; 2008 Jun 25-28; Barcelona, Spain.
    • Shnayder A, Sillery C, Embree R, Mongkolwat P, Channin D. Loading DICOM images and metadata into the XIP platform. Paper presented at: SIIM 2008. Proceedings of the 2008 Annual Meeting of the Society for Imaging Informatics in Medicine; 2008 May 15-18; Seattle, WA.
    • Embree R, Sillery C, Channin D. Automatic volumetric breast density assessment in the eXtensible Imaging Platform. Paper presented at: SIIM 2008. Proceedings of the 2008 Annual Meeting of the Society for Imaging Informatics in Medicine; 2008 May 15-18; Seattle, WA.
    • Muhammad M, Raicu D, Furst J, Varutbangkul E. Fourier descriptors for lung nodule boundary analysis. Abstract presented at: SIIM 2008. Proceedings of the 2008 Annual Meeting of the Society for Imaging Informatics in Medicine; 2008 May 15-18; Seattle, WA.
    • Datteri R, Raicu D, Furst J. Texture analysis for pulmonary nodules interpretation and retrieval. Paper presented at: SIIM 2008. Proceedings of the 2008 Annual Meeting of the Society for Imaging Informatics in Medicine; 2008 May 15-18; Seattle, WA.
    • Horsthemke WH, Raicu DS, Furst JD. Bridging the evaluation gap challenge to diagnostic labeling of pulmonary nodules. Paper presented at: SOCRS 2008. Proceedings of the DePaul University School of Computing Research Symposium; 2008 May; Chicago, IL.
    • Susomboon R, Raicu D, Furst J, Johnson TB. A co-occurrence texture semi-invariance to direction, distance and patient size. Paper presented at: SPIE Medical Imaging 2008. Proceedings of the 3rd SPIE Medical Imaging Conference; 2008 Feb 16-21; San Diego, CA.
    • Muhammad M, Raicu D, Furst J, Varutbangkul E. Texture versus shape analysis for lung nodule similarity in computed tomography studies. Paper presented at: SPIE Medical Imaging 2008. Proceedings of the 3rd SPIE Medical Imaging Conference; 2008 Feb 16-21; San Diego, CA.
    • Mintz A, Raicu D, Furst J. Liver segmentation combining gabor filtering and traditional vector field snake. Paper presented at: SPIE Medical Imaging 2008. Proceedings of the 3rd SPIE Medical Imaging Conference; 2008 Feb 16-21; San Diego, CA.
    • Datteri R, Raicu D, Furst J. Texture analysis for pulmonary nodules interpretation and retrieval. Paper presented at: SPIE Medical Imaging 2008. Proceedings of the 3rd SPIE Medical Imaging Conference; 2008 Feb 16-21; San Diego, CA.

  • 2007
    • Susomboon R, Raicu DS, Furst JD. A hybrid approach for liver segmentation. Paper presented at: MICCAI 2007. Proceedings of the 10th International Conference on Medical Image Computing and Computer Assisted Intervention; 2007 Oct 29-Nov 2; Brisbane, Australia.
    • Horsthemke W, Raicu DS, Furst JD. Task-oriented medical image retrieval. Paper presented at: MICCAI 2007. Proceedings of the Content-based Image Retrieval Workshop of the 10th International Conference on Medical Image Computing and Computer Assisted Intervention; 2007 Oct 29-Nov 2; Brisbane, Australia.
    • Horsthemke W, Varutbangkul E, Raicu DS, Furst JD. Predictive data mining for lung nodule interpretation. Paper presented at: ICDM 2007. Proceedings of the 7th IEEE Workshop on Data Mining in Medicine; 2007 Oct 28-31; Omaha, NE.
    • Horsthemke W, Raicu DS, Furst JD. Computationally-intensive tasks in medical imaging informatics. Paper presented at: Microsoft eScience Workshop 2007. Proceedings of the Microsoft eScience Workshop at RENCI; 2007 Oct 21-23; Chapel Hill, NC.
    • Disney T, Lam MO, Raicu D, Furst J, Channin D. A lookup and reference tool for pulmonary computed tomography nodules. Paper presented at: SIIM 2007. Proceedings of the 24th Annual Meeting of the Society for Imaging Informatics in Medicine; 2007 Jun 6-10; Providence, RI.
    • Talbot SJ, Mongkolwat P, Amirtha TR, Channin DS. Advancing advanced visualization in the clinical environment. Paper presented at: SIIM 2007. Proceedings of the 24th Annual Meeting of the Society for Imaging Informatics in Medicine; 2007 Jun 6-10; Providence, RI.
    • Phillips C, Valencia SG, Raicu DS, Furst JD. A visualization approach for texture-based comparison of soft tissues in computed tomography. Poster presented at: CAURS 2007. Proceedings of the Chicago Area Undergraduate Research Symposium; 2007 Apr 14; Chicago, IL.
    • Greenblum SI, Krucoff MO, Furst J, Raicu D. An automated approach to image analysis of noisy microarrays. Paper presented at: VISAPP 2007. Proceedings of the International Conference on Computer Vision Theory and Applications; 2007 Mar 8-11; Barcelona, Spain.
    • Horsthemke B, Raicu DS. Texture feature analysis for soft tissue organ classification using PCA and LDA. Paper presented at: SPIE Medical Imaging Conference 2007. Proceedings of the 2nd SPIE Medical Imaging Conference; 2007 Feb 17-22; San Diego, CA.
    • Varutbangkul E, Cisneros JG, Raicu DS, Furst JD, Channin DS, Armato SG III. Semantics and image content integration for pulmonary nodule interpretation in thoracic computed tomography. Paper presented at: SPIE Medical Imaging Conference 2007. Proceedings of the 2nd SPIE Medical Imaging Conference; 2007 Feb 17-22; San Diego, CA.
    • Dettori L, Bashir A, Hasemann J. Texture classification of normal tissues in computed tomography using gabor filters. Paper presented at: SPIE Medical Imaging Conference 2007. Proceedings of the 2nd SPIE Medical Imaging Conference; 2007 Feb 17-22; San Diego, CA.
    • Pham M, Susomboon R, Disney T, Raicu D, Furst J. A comparison of texture models for automatic liver segmentation. Paper presented at: SPIE Medical Imaging Conference 2007. Proceedings of the 2nd SPIE Medical Imaging Conference; 2007 Feb 17-22; San Diego, CA.
    • Lam M, Disney T, Pham M, Raicu D, Furst J. Content-based image retrieval for pulmonary computed tomography nodule images. Paper presented at: SPIE Medical Imaging Conference 2007. Proceedings of the 2nd SPIE Medical Imaging Conference; 2007 Feb 17-22; San Diego, CA.

  • 2006
    • Susomboon R, Raicu DS, Furst JD. Automatic single-organ segmentation in computed tomography images. Paper presented at: The 6th IEEE International Conference on Data Mining. 2006 Dec 18-22; Hong Kong.
    • Susomboon R, Raicu DS, Furst JD, Channin DS. A probabilistic approach for automatic liver segmentation. Poster presented at: RSNA 2006. Proceedings of the 92nd Scientific Assembly and Annual Meeting of Radiology Society of North America 2006 Nov 26-Dec 1; Chicago, IL.
    • Valencia SG, Raicu DS, Furst J. Visualization of soft tissues. Poster presented at: Autumn Science and Math Science Day Event at DePaul University. 2006 Nov; Chicago, IL.
    • Greenblum SI, Krucoff MO, Furst J. A fully-automated method for microarray image analysis. Poster presented at: The 17th Annual Argonne Symposium for Undergraduates in Science, Engineering and Mathematics; 2006 Nov; Argonne National Laboratory, IL.
    • Bashir A, Hasemann J, Dettori L. Using decision trees for gabor-based texture classification of tissues in computed tomography. Poster presented at: WIML 2006. Proceedings of the Workshop for Women in Machine Learning Co-located with the Grace Hopper Celebration of Women in Computing; 2006 Oct; San Diego, CA.
    • Semler L, Dettori L. Curvelet-based texture classification of tissues in computed tomography. Paper presented at: ICIP 2006. Proceedings of the IEEE International Conference on Image Processing; 2006 Oct 8-11; Atlanta, GA.
    • Xuchang Zou, Raffaella Settimi, Jane Cleland-Huang, Phrasing in Dynamic Requirements Trace Retrieval, 30th Annual International Computer Software and Applications Conference (COMPSAC 2006), 17-21 September 2006, Chicago, Illinois, USA; 01/2006.
    • Jane Cleland-Huang, Raffaella Settimi, Xuchang Zou, Peter Solc, The Detection and Classification of Non-Functional Requirements with Application to Early Aspects, 14th IEEE International Conference on Requirements Engineering (RE 2006), 11-15 September 2006, Minneapolis/St.Paul, Minnesota, USA; 01/2006.
    • Jun Lin, Chan Chou Lin, Jane Cleland-Huang, Raffaella Settimi, Joseph Amaya, Grace Bedford, Brian Berenbach, Oussama Ben Khadra, Chuan Duan, Xuchang Zou, Poirot: A Distributed Tool Supporting Enterprise-Wide Automated Traceability, 14th IEEE International Conference on Requirements Engineering (RE 2006), 11-15 September 2006, Minneapolis/St.Paul, Minnesota, USA; 01/2006.
    • Furst JD, Susomboon R, Raicu DS. Single organ segmentation filters for multiple organ segmentation. Paper presented at: EMBS 2006. Proceedings of the 28th IEEE 2006 International Conference of the Engineering in Medicine and Biology Society; 2006 Aug 31-Sep 3; New York, NY.
    • Semler L, Dettori L, Kerr W. Ridgelet-based texture classification in computed tomography. Paper presented at: The 8th IASTED International Conference on Signal and Image Processing; 2006 Aug; Honolulu, HI.
    • Kerr W, Dettori L, Semler L. A methodology and metric for quantitative analysis and parameter optimization of unsupervised, multi-region image segmentation. Paper presented at: The 8th IASTED International Conference on Signal and Image Processing; 2006 Aug; Honolulu, HI.
    • Doran M, Settimi R, Raicu D, Furst J, Chandler D, Schipma M. Analysis of a proposed universal fingerprint microarray. Paper presented at: CTI Research Symposium at DePaul University. 2006 Apr; Chicago, IL.
    • Horsthemke B, Furst JD. DNA microarray spot detection using hough transforms. Paper presented at: CTI Research Symposium at DePaul University. 2006 Apr; Chicago, IL.
    • Malinga B, Raicu DS, Furst JD. Local vs. global histogram-based color image clustering. Paper presented at: CTI Research Symposium at DePaul University. 2006 Apr; Chicago, IL.
    • Susomboon R, Raicu DS, Furst JD. Pixel-based texture classification of tissues in computed tomography. Paper presented at: CTI Research Symposium at DePaul University. 2006 Apr; Chicago, IL. (BEST PAPER AWARD)
    • Zhang Y, Tomuro N, Raicu DS, Furst JD. Investigation on feature selection to improve classification of abdominal organs in CT images. Paper presented at: CTI Research Symposium at DePaul University. 2006 Apr; Chicago, IL.
    • Semler L, Dettori L. A comparison of wavelet-based and ridgelet-based texture classification of tissues in computed tomography. Paper presented at: VISAPP 2006. Proceedings of the Premier International Conference on Computer Vision and Applications; 2006 Feb 25-28; Setubal, Portugal.
    • Handrick S, Naimipour B, Furst JD, Raicu DS. Binning strategies evaluation for tissue classification in computed tomography images. Paper presented at: SPIE 2006. Proceedings of the Premier SPIE Medical Imaging Conference; 2006 Feb 11-16; San Diego, CA.
    • Whitney BW, Backman NJ, Furst JD, Raicu DS. Single click volumetric segmentation of abdominal organs in computed tomography images. Paper presented at: SPIE 2006. Proceedings of the Premier SPIE Medical Imaging Conference; 2006 Feb 11-16; San Diego, CA.
    • Lerman R, Raicu DS, Furst JD. Contrast enhancement of soft-tissues in computed tomography images. Paper presented at: SPIE 2006. Proceedings of the Premier SPIE Medical Imaging Conference; 2006 Feb 11-16; San Diego, CA.
    • Backman NJ, Whitney BW, Furst JD, Raicu DS. A prioritized and adaptive approach to volumetric seeded region growing using texture descriptors Paper presented at: SPIE 2006. Proceedings of the Premier SPIE Electronic Imaging Conference; 2006 Jan 15-19; San Jose, CA.