Publications

[169] Tchoua, R.B., Ajith, A., Hong, Z., Ward, L.T., Chard, K., Belikov, A., Audus, D.J., Patel, S., de Pablo, J.J. and Foster, I.T., "Creating training data for scientific named entity recognition with minimal human effort". In International Conference on Computational Science (pp. 398-411). Springer, Cham. June, 2019

[168] Isenegger K., Dong Y., Shang M., Furst JD., Raicu DS.,  "Characterizing and Quantifying (Un)Certainty through Natural Language Processing". 6th Annual Conf. on Computational Science & Computational Intelligence (CSCI'19), Las Vegas, Nevada, Dec 05-07, 2019

[167] Isenegger K., Morain A., Glaser E., Dong Y., Gemmell J., "Comparing Automatically Extracted Topics from Online Mental Health Disorder Forums". 6th Annual Conf. on Computational Science & Computational Intelligence (CSCI'19), Las Vegas, Nevada, Dec 05-07, 2019

[166] Gutstein D., Montague E., Furst JD., Raicu DS., “Optical Flow, Positioning, and Eye Coordination: Automating the Annotation of Physician-Patient Interactions”. 2019 IEEE International Conference on Bioinformatics and Biomedicine, San Diego, California, November 18–21, 2019 (Acceptance Rate: 18.4%)

[165] Gutstein D., Montague E., Furst JD., Raicu DS., “Hand-Eye Coordination: Automating the Annotation of Physician-Patient Interactions”. 19th IEEE International Conference on BioInformatics and BioEngineering, Athens, Greece, October 28–30, 2019

[164] Deshpande P., Rasin A., Cao F., Yarlagadda S., Brown ET., Furst JD., Raicu DS., "Multimodal Ranked Search over Integrated Repository of Radiology Data Sources". Knowledge Discovery and Information Retrieval, Vienna, Austria, September 17-19, 2019

[163] Deshpande P., Rasin A., S. Jun, Kim S., Brown ET., Furst JD., Montner S., Armato SG., Raicu DS., "Ontology-based Radiology Teaching Files Summarization, Coverage, and Integration". Journal of Digital Imaging, JDI, 2019

[162] Yu Y., Wang Y., Furst JD., Raicu DS., "Identifying diagnostically complex cases through ensemble learning". 2019 International Conference on Image Analysis and Recognition (ICIAR), Waterloo, Canada, August 27-29, 2019

[161] Yu Y., Weddell R., Furst JD., Raicu DS. "Utilization of Instance Hardness in Multiple Annotations Active Learning". ACM SIGKDD Data Collection, Curation, and Labeling for Mining and Learning Workshop, Anchorage, Alaska, August 4-8, 2019

[160] Shin E., Berglin S., Furst JD., Raicu DS., "Expanding annotated data with informed labels for weak supervision". International Conference on Machine Learning and Data Mining, New York, USA, July 20-25, 2019

[159] Deshpande P., Rasin A., Furst JD., Raicu DS., Antani S., "DiiS: A Biomedical Data Access Framework for Aiding Data Driven Research Supporting FAIR Principles". MDPI, Data, 4(2), 54. 2019. * This publication is featured for the showcase in the MDPI - DATA Journal issue cover of Volume 4, Issue 2 (June 2019)

[158] Piane J., Wang Y., Cheung T., Kim H., Furst JD., Raicu DS., "Augmenting Frame-based with Window-based Features for C. elegans Movement Classification", IEEE EMBS International Conference on Biomedical & Health Informatics, Chicago, IL, May 19-22, 2019

[157] Gao C., Clark S., Furst JD., Raicu DS..“Augmenting LIDC dataset using 3D generative adversarial networks to improve lung nodule detection”, SPIE Medical Imaging Symposium, San Francisco, CA, February 2-7, 2019.

[156] Berglin S., Shin E., Furst JD., Raicu DS. "Efficient Learning in Computer-Aided Diagnosis through Label Propagation", SPIE Medical Imaging Symposium, San Francisco, CA,February 2-7, 2019.

[155] Wang Y., Soetikno B., Furst JD., Raicu DS., Fawzi A., "Drusen diagnosis comparison between hyper-spectral and color retinal images", BioMedical Optics Express. Vol.10, Issue 2, 2019.  Click here to download the dataset in this paper.

[154] Chakravorti D., Law K., Gemmell J., Raicu DS.. "Detecting and Characterizing Trends in Online Mental Health Discussions", The Sixth IEEE ICDM DMBIH Workshop, Singapore, November 17, 2018.

[153] Cao F., Scroggins D., Thomas L., Brown ET., "A Human-in-the-Loop Software Platform", In Proceesings of the Machine Learning from User Interaction for Visualization and Analytics Workshop at IEEE VIS 2018, Berlin, Germany, October 22, 2018.

[152] Deshpande P., Rasin A., Brown ET., Furst JD., Montner S., Armato SG., Raicu DS., “Big Data Integration Case Study for Radiology Data Sources", IEEE Life Sciences Conference (LSC 2018), , Montreal, Canada, October 28-30, 2018.

[151] Deshpande P., Rasin A., Brown ET., Furst JD., Montner S., Armato SG., Raicu DS., "Augmenting Medical Decision Making With Text-Based Search of Teaching File Repositories and Medical Ontologies: Text-Based Search of Radiology Teaching Files". International Journal of Knowledge Discovery in Bioinformatics (IJKDB), 8(2), 18-43.

[150] Grant R., Kucher D., Leon AM., Gemmell J., Raicu DS., Fodeh S., "Automatic Extraction of Informal Topics from Online Suicidal Ideation". BMC Bioinformatics - Invited Paper from ACM 11th International Workshop on Data and Text Mining in Biomedical Informatics. 2018.

[149] Yung, M., Brown, E. T., Rasin, A., Furst, J. D., & Raicu, D. S. (2018)., "Synthetic sampling for multi-class malignancy prediction". arXiv preprint arXiv:1807.02608.

[148] 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.

[147] 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.

[146] 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 11 ^th 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.

[145] Grant R., Kucher D., Leon A., Gemmell J., and Raicu DS., "Discovery of Informal Topics from Post Traumatic Stress Disorder Forums", in The IEEE 5 ^th 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)

[144] 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.

[143] Deshpande P., Rasin A., Brown E., Furst JD., Raicu DS., Montner S., Armato III SG., "An Integrated Database and Smart Search Tool for Medical Knowledge Extraction from Radiology Teaching Files", in the Proceedings of The First Workshop Medical Informatics and Healthcare held with the 23^rd SIGKDD Conference on Knowledge Discovery and Data Mining, Halifax, Nova Scotia, Canada, August 14, 2017.

[142] 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

[141] 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

[139] 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

[138] 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

[137] 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

[136] Kennedy B., Carrazza M., Furst J., Rasin A., “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. doi: 10.1109/ICDMW.2015.210

[135] 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

 [134] 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

[133] 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

[132] 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

[131] 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.

[130] 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

[129] 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.

[128] 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

[127] 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

[126] 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.

[125] 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.

[124] 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.

[123] 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).

[122] 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.

[121] 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.

[120] 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.

[119] 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.

[118] 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.

[117] 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.

[116] 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.

[115] 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.

[114] 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.

[113] 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.

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

[111] 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.

[110] 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.

[109] 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.

[108] 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.

[107] 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.

[106] 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.

[105] 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.

[104] Opulencia P, Channin DS, Raicu DS, Furst JD. Mapping LIDC, RadLex, and lung nodule image features. J Digit Imaging. 2011;24(2):256–270.

[103] 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.

[102] 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.

[101] Furst J, Raicu D. Publishing undergraduate research. Poster presented at: SIGCSE 2010. 2010 Mar 10-13; Milwaukee, WI.

[100] 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.

[99] 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. (pdf)

[98] 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. (pdf)

[97] 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. (pdf)

[96] 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. (pdf)

[95] 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. (pdf)

[94] 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. (pdf)

[93] 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. (pdf)

[92] 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. (pdf)

[91] Zhang J, Tomuro N, Furst JD, Raicu DS. Using BI-RADS descriptors and ensemble learning for classifying masses in mammograms. Paper presented at: MCBR-CBS 2009. Proceedings of the 1st Workshop on Medical Content–Based Retrieval for Clinical Decision Support at MICCAI 2009; 2009 Sep 20; London, UK. (pdf)

[90] 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. (pdf)

[89] 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.

[88] 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.

[87] 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.

[86] 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.

[85] 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. (pdf)

[84] 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. (pdf)

[83] 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. (pdf)

[82] 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. (pdf)

[81] 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. (pdf)

[80] 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. (pdf)

[79] 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. (pdf)

[78] 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. (pdf)

[77] 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. (pdf)

[76] 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. (pdf)

[75] 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.

[74] 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. (pdf)

[73] 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. (pdf)

[72] 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. (pdf)

[71] 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. (pdf)

[70] 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. (pdf)

[69] 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.

[68] 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. (pdf)

[67] 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. (pdf)

[66] 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.

[65] 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.

[64] 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. (pdf)

[63] 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.

[62] 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. (pdf)

[61] 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. (pdf)

[60] 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. (pdf)

[59] 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. (pdf)

[58] 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. (pdf)

[57] Doran M, Raicu DS, Furst JD, Settimi R, Schipma M, Chandler D. An empirical comparison of machine learning algorithms for the classification of anthracis DNA using microarray data. Paper presented at: ICICIS 2007. Proceedings of the 3rd International Conference on Intelligent Computing and Information Systems; 2007 Mar 15-18; Cairo, Egypt. (pdf)

[56] 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. (pdf)

[55] 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. (pdf)

[54] 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. (HTM~3K)

[53] 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. pdf~19K)

[52] 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. (pdf)

[51] 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. (pdf)

[50] 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.

[49] 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. (pdf)

[48] 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. (pdf)

[47] 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. (pdf)

[46] 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.

[45] 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.

[44] 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.

[43] 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. (pdf)

[42] 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. (pdf)

[41] 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.

[40] 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. (pdf)

[39] 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.

[38] 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. (pdf)

[37] 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. (pdf)

[36] 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. (pdf)

[35] Horsthemke B, Furst JD. DNA microarray spot detection using hough transforms. Paper presented at: CTI Research Symposium at DePaul University. 2006 Apr; Chicago, IL. (pdf)

[34] 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.

[33] 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) (pdf)

[32] 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. (pdf)

[31] 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. (pdf)

[30] 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. (pdf)

[29] 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. (pdf)

[28] 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. (pdf)

[27] 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. (pdf)

[26] Raicu DS, Sethi IK. Synobins: an intermediate level towards annotation and semantic retrieval. EURASIP Journal on Applied Signal Processing. 2006. (pdf)

[25] Kalinin M, Raicu DS, Furst JD, Channin DS. A classification approach for anatomical regions segmentation Paper presented at: ICIP 2005. Proceedings of the IEEE International Conference on Image Processing; 2005 Sep 11-14; Genoa, Italy. (pdf)

[24] Semler L, Dettori L, Furst J. Wavelet-based texture classification of tissues in computed tomography. Paper presented at: CBMS 2005. Proceedings of the 18th IEEE International Symposium on Computer-Based Medical Systems; 2005 Jun 23-24; Dublin, Ireland. (pdf)

[23] Corboy A, Tsang W, Lee K, Raicu D, Furst J. Texture-based image retrieval for computerized tomography databases. Paper presented at: CBMS 2005. Proceedings of the 18th IEEE International Symposium on Computer-Based Medical Systems; 2005 Jun 23-24; Dublin, Ireland. (pdf)

[22] Xu DH, Lee J, Raicu DS, Furst JD, Channin D. Texture classification of normal tissues in computed tomography Abstract presented at: The 2005 Annual Meeting of the Society for Computer Applications in Radiology; 2005 Jun 2-5; Orlando, FL. (pdf)

[21] Horsthemke WH, Furst JD, Raicu DS. Texture classifier robustness for sub-organ sized windows. Paper presented at: CTI Research Symposium at DePaul University. 2004 May; Chicago, IL. (pdf)

[20] Xu DH, Kurani A, Furst JD, Raicu DS. Run-length encoding for volumetric texture. Paper presented at: VIIP 2004. Proceedings of the 4th IASTED International Conference on Visualization, Imaging, and Image Processing; 2004 Sep 6-8; Marbella, Spain. (pdf)

[19] Channin D, Raicu DS, Furst JD, Xu DH, Lilly L, Limpsangsri C. Classification of tissues in computed tomography using decision trees. Poster presented at: RSNA 2004. Proceedings of the 90th Scientific Assembly and Annual Meeting of Radiology Society of North America; 2004 Nov 28-Dec 3; Chicago, IL. (pdf), Poster (pdfB)

[18] Kurani A, Xu DH, Furst JD, Raicu DS. Co-occurrence matrices for volumetric data. Paper presented at: CGIM 2004. Proceedings of the 7th IASTED International Conference on Computer Graphics and Imaging; 2004 Aug 16-18; Kauai, HI. (pdf)

[17] Raicu DS, Furst JD, Channin D, Xu DH, Kurani A. A texture dictionary for human organs tissues' classification. Paper presented at: SCI 2004. Proceedings of the 8th World Multiconference on Systemics, Cybernetics and Informatics; 2004 Jul 18-21; Orlando, USA. (pdf)

[16] Keselman Y, Shokoufandeh A, Fatih Demirci M, Dickinson S. Many-to-many feature matching using spherical coding of directed graphs. Paper presented at: Computer Vision 2004. Proceedings of the 8th European Conference on Computer Vision; 2004 May; Prague, Czech Republic. (pdf)

[15] Stan D. A data mining framework for target marketing. Paper presented at: CATA 2003. Proceedings of the 18th ISCA International Conference on Computers and Their Applications; 2003 Mar 26-28; Honolulu, HI. (pdf)

[14] Fatih Demirci M, Shokoufandeh A, Dickinson S, Keselman Y, Bretzner L. Many-to-many graph matching via low-distortion embedding. Paper presented at: CVPR 2003. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition; 2003 Jun 16-22; Madison, WI. (pdf)

[13] Fatih Demirci M, Shokoufandeh A, Keselman Y, Dickinson S, Bretzner L. Many-to-many matching of scale-space feature hierarchies using metric embedding. Paper Presented at: Scale Space 2003. Proceedings of the 4th International Conference on Scale-Space Methods in Computer Vision; 2003 Jun 10-12; Isle of Skye, UK. Lecture Notes in Computer Science. 2003;2695:17-32. (pdf)

[12] Stan D, Sethi IK. ID: a system for exploration of image databases. Information Processing and Management Journal. 2003;39(3):335-361. (pdf)

[11] Horsthemke WH, Dahbur K. Improving disease detection with machine learning strategies: methods to minimize false negatives through cost sensitive training. Paper presented at: IKS 2003. Proceedings of the IASTED International Conference on Information and Knowledge Sharing; 2003 Nov 17-19; Scottsdale, AZ.

[10] Stan D. Visual computing. Paper presented at: CTI Research Symposium DePaul University. 2002 Nov; Chicago, IL. (pdf)

[9] Stan D. A new approach for exploration of image databases. Paper presented at: The Grace Hopper Celebration of Women in Computing 2002. 2002 Oct; British Columbia, Canada. (pdf) 2002 Jun; Rochester, MI. (pdf)

[8] Stan D, Sethi IK. Color patterns for pictorial content description. Paper presented at: SAC 2002. Proceedings of the 17th ACM Symposium on Applied Computing; 2002 Mar 11-14; Madrid, Spain. (pdf)

[7] Stan D, Sethi IK. Image retrieval using a hierarchy of clusters. Paper presented at: ICAPR 2001. Proceedings of the 2nd International Conference of Advances in Pattern Recognition; 2001 Mar 11–14; Rio de Janeiro, Brazil. Lecture Notes in Computer Science. 2001;2013:377-388. (pdf)

[6] Keselman Y, Dickinson S. Generic model abstraction from examples. Paper presented at: CVPR 2001. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition; 2001 Dec 8-14; Kauai, HI. (pdf)

[5] Keselman Y, Dickinson S. Bridging the representation gap between models and exemplars. Paper presented at: CVPR 2001. Proceedings of the IEEE Workshop on Models versus Exemplars in Computer Vision at the IEEE Conference on Computer Vision and Pattern Recognition; 2001 Dec 8-14; Kauai, HI.

[4] Stan D, Sethi IK. Mapping low-level image features to semantic concepts. Paper presented at: SPIE 2001. Proceedings of the SPIE Conference: Storage and Retrieval for Media Databases; 2001 Jan 24; San Jose, CA. (pdf)

[3] Sethi IK, Coman I, Stan D. Mining association rules between low-level image features and high-level concepts. Paper presented at: SPIE 2001. Proceedings of the SPIE Conference: Data Mining and Knowledge Discovery III; 2001 Jan; San Jose, CA. (pdf)

[2] Keselman Y, Dickinson S, Hager GD, Christensen HI, Bunke H, Klein R, editors. Generic model abstraction from examples. Proceedings of the International Workshop on Sensor-Based Intelligent Robots; 2002 Oct 15-20; Dagstuhl Castle, Germany. (pdf)

[1] Keselman Y, Micheli-Tzanakou E. Extraction and characterization of regions of interest in biomedical images. Paper presented at: ITAB 1998. Proceedings of the IEEE International Conference on Information Technology Applications in Biomedicine; 1998 May 17; Washington D.C. (pdf)