Publications

2017 2016   2015   2014   2013   2012   2011   2010   2009   2008   2007   2006 

2017

[75] Grant R., Kucher D., Leon A., Furst J., Raicu DS., Gemmell J., "Automatic Extraction of Informal Topics from Online Suicidal Ideation", DTMBIO, 2017. (Accepted)

[74] 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, 2017.

[73] Affenit RN., Barns ER., Furst JD., Rasin A.,Raicu  DS., "Building confidence and credibility into CAD with belief decision trees", SPIE Medical Imaging, 2017

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2016

[72] El-Dirany M., Wang F., Furst J., Rogers J. and Raicu DS., "Constructing Phylogenic Trees Through Compression", 2016 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2016). Shenzhen, China, Dec 15-18, 2016.

[71] 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

[70] 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

[69] 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

[68] 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

[67] 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

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2015

[68] Cunliffe AR., White B., Justusson J., Straus C., Malik R., Al-Hallaq HA., Armato SG III., "Comparison of two deformable registration algorithms in the presence of radiologic change between serial lung CT scans", Journal of Digital Imaging 28: 755-760, 2015. 

[67] Jason, L.A., Sunnquist, M., Brown, A., Furst, J., Cid, M., Farietta, J., Kot, B., Bloomer, C., Nicholson, L., Williams, Y., Jantke, R., Newton, J.L., Strand, E.B., &Vernon, S.D., "Factor analysis of the DePaul Symptom Questionnaire: Identifying core domains", Journal of Neurology and Neurobiology, 1(4): doi http://dx. doi.org/10.16966/2379-7150.114

[66] Cunliffe AR., Contee C., Armato SG., White B., Justusson J., Malik R., Al-Hallaq HA., "Effect of deformable registration on the dose calculated in radiation therapy planning CT scans of lung cancer patients", Medical Physics; 42(1):391 (2015). DOI: 10.1118/1.4903267.

[65] Margolin E.,Molina M., Raicu DS., Furst J., “Classification of lung nodules through machine sourced segmentations and outlier filtering”, SPIE Medical Imaging, Orlando, Florida, February 21-26, 2015.

[64] Riely AR.,Sablan KJ., Fang X., Furst JD.,  Raicu DS., “Reducing annotation cost and uncertainty in computer-aided diagnosis through selective iterative classification”, SPIE Medical Imaging, Orlando, Florida, February 21-26, 2015.

[63] Kraemer DN., Roth EG., Sidky EY., Reiser IS.,  Pan X., “Robust iterative image reconstruction for breast CT by use of projection differentiation”, SPIE Medical Imaging, Orlando, Florida, February 21-26, 2015.

[62] Roth  EG., Kraemer DN., Sidky EY., Reiser IS., Pan X., “Improving depth resolution in digital breast tomosynthesis by iterative image reconstruction”, SPIE Medical Imaging, Orlando, Florida, February 21-26, 2015.

[61] Ho C., Lee K., Armato III SG., “A computer-aided diagnosis system to identify regions of pathologic change in temporal subtraction images of the chest", SPIE Medical Imaging, Orlando, Florida, February 21-26, 2015.

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2014

[60] Molina Puentes MA, Furst J, Raicu DS., "Machine-Sourced Segmentations vs. Expert-Sourced Segmentations for the Classification of Lung Nodules with Outlier Removal", Paper presented at: 13th International Conference on Machine Learning and Applications (ICMLA). Detroit, Michigan. December 3-6, 2014. doi: 10.1109/ICMLA.2014.89

[59] Sidky EY, Kraemer DN, Roth EG, Ullberg C, Reiser IS, Pan X, "Analysis of iterative region-of-interest image reconstruction for x-ray computed tomography", Journal of Medical Imaging. 0001;1(3):031007. doi:10.1117/1.JMI.1.3.031007.

[58] Watson, S. P., Ruskin, A. S., Simonis, V., Jason, L. A., Sunnquist, M., Furst, J. D. (2014), "Identifying Defining Aspects of Chronic Fatigue Syndrome via Unsupervised Machine Learning and Feature Selection",  International Journal of Machine Learning & Computing , 4(2).

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2013

[57] Smith E., Stein P., Furst JD., Raicu DS. "Weak Segmentations and Ensemble Learning to Predict Semantic Ratings of Lung Nodules", Proc. of International Conference on Machine Learning and its Applications (ICMLA), Miami, Florida, December 4-7, 2013.

[56] Cunliffe AR, Armato SG 3rd, Fei XM, Tuohy RE, Al-Hallaq HA., Lung texture in serial thoracic CT scans: registration-based methods to compare anatomically matched regions. Medical Physics, June 2013; 40(6):061906. doi: 10.1118/1.4805110.

[55] D. Calabrese, K. Zhou, Y. Liu, K. Suzuki, Improved Segmentation of Liver in CT with Massive-Training Artificial Neural Network (MTANN) Liver Enhancer, The 35th Annual International IEEE Engineering in Medicine and Biology Society, Osaka, Japan, July 2013.

[54] K. Suzuki, H.T. Huynh, Y. Liu, D. Calabrese, K. Zhou, A. Oto, M. Hori, Computerized Segmentation of Liver in Hepatic CT and MRI by Means of Level-Set Geodesic Active Contouring, The 35th Annual International IEEE Engineering in Medicine and Biology Society, Osaka, Japan, July 2013.

[53]Alexandra R. Cunliffe, Hania A. Al-Hallaq, Xianhan M. Fei, Rachel E. Tuohy, Samuel G. Armato III, “Comparison of demons deformable registration-based methods for texture analysis of serial thoracic CT scans”, SPIE Medical Imaging, Lake Buena Vista (Orlando), Florida, February 9th- 14th, 2013.

[52]Sydney Williams, Michael Harris, Jacob Furst, Daniela Raicu, “Area Under the Distance Threshold Curve as an Evaluation Measure for Probabilistic Classifiers”, The 9th International Conference on Machine Learning and Data Mining, MLDM 2013, New York, July 19-25, 2013.

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2012

[51]Cunliffe A, Al-Hallaq HA, Labby ZE, Pelizzari CA, Straus C, Sensakovic WF, Ludwig M, Armato SG III: Lung texture in serial thoracic CT scans: Assessment of change introduced by image registration. Medical Physics 39: 4679–4690, 2012.

[50]Ludwig M, Cunliffe A, Al-Hallaq H, Armato SG III: Evaluation of image registration using landmark matching and texture analysis. Medical Physics 39: 3895, 2012.(abstract)

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

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

[47] Brianna Knoll, Alexandra Cunliffe, Hania Al-Hallaq, Renuka Malik, Samuel G. Armato III, "Dose dependence of median CT pixel value change for lung cancer patients undergoing radiation therapy", SPIE Medical Imaging 2012, San Diego, USA.

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2011

[46] Hazen R, Van Esbroeck AP, Mongkolwat P, Channin DS., “Automatic extraction of concepts to extend RadLex”, Journal of Digital Imaging. 2011 Feb; 24(1):165-9.

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

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

[43] Armato SG III, Lee M, Yu G, MacMahon H: Texture-based identification of pathologic change on temporally subtracted radiographic chest images. Medical Physics 38: 3379, 2011. Presented at the 53rd Annual Meeting of the American Association of Physicists in Medicine, Vancouver, British Columbia, Canada, 2011.

[42] Ferraro F., Kawaler E., Suzuki K., “A spinning tangent based CAD system for detection of flat lesions in CT colonography”, IEEE International Symposium on Biomedical Imaging (ISBI), 2011

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

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

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2010

[39] Suzuki K., Sheu I., Kawaler E., Ferraro F., Rockey D. C., and Dachman A. H., “Computer-aided detection (CADe) of flat lesions in CT colonography (CTC) by means of a spinning-tangent technique,” Program of Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA), 2010.

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

[37] Hazen R., van Esbroeck A., Channin D., "Extending RadLex by Automated Extraction of Terms from the Medical Literature", Society of Imaging Informatics in Medicine (SIIM 2010) Annual Meeting  

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

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

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

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2009

[33] Armato SG III, Sensakovic WF, Passen SJ, Engelmann RM, MacMahon H, "Temporal subtraction in chest radiography: Mutual information as a measure of image quality.", Medical Physics 2009, December 36 (12): 5675-82

[32] Grelewicz Z., Suzuki K., Kohlbrenner R., Obajuluwa A. M., Ng E., Tompkins R., Epstein M. L., Hori M., and Baron R. L. "Computer-aided diagnostic scheme for detection of hepatocellular carcinoma in contrast-enhanced hepatic CT: Preliminary results." Medical Physics 36: 2434, 2009.

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

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

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

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

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

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2008

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

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

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

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

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

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

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

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

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2007

[18] M. Lam, T. Disney, D. Raicu, J. Furst, D.S. Channin, "BRISC - An Open Source Pulmonary Nodule Image Retrieval Framework", Journal of Digital Imaging, 2007 (in print). (PDF~428K)

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

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

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

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

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

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

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2006  

[11] A. Bashir, J. Hasemann, L. Dettori, "Gabor-based Texture Classification of Tissues in Computed Tomography”, DePaul Science Day, November 10th 2006 (poster).

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

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

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

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

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

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

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

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

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

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

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Open Source

Mike Lam and Tim Disney, REU students of summer 2006, release their code as Open Source on SourceForge: http://brisc.sourceforge.net/

 

 
Webmaster Daniela Stan: dstan@cdm.depaul.edu
Last modified: September 05, 2017