| Comparison and evaluation of methods for liver segmentation from CT datasets T Heimann, B Van Ginneken, MA Styner, Y Arzhaeva, V Aurich, C Bauer, ... IEEE transactions on medical imaging 28 (8), 1251-1265, 2009 | 1106 | 2009 |
| Run-length encoding for volumetric texture DH Xu, AS Kurani, JD Furst, DS Raicu Heart 27 (25), 452-458, 2004 | 216 | 2004 |
| Co-occurrence matrices for volumetric data AS Kurani, DH Xu, J Furst, DS Raicu Heart 27, 25, 2004 | 174 | 2004 |
| Mining association rules between low-level image features and high-level concepts IK Sethi, IL Coman, D Stan Data mining and knowledge discovery: theory, tools, and technology III 4384 …, 2001 | 162 | 2001 |
| Wavelet-based texture classification of tissues in computed tomography L Semler, L Dettori, J Furst 18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05), 265-270, 2005 | 127 | 2005 |
| Predicting radiological panel opinions using a panel of machine learning classifiers D Zinovev, D Raicu, J Furst, SG Armato III Algorithms 2 (4), 1473-1502, 2009 | 66 | 2009 |
| BRISC—an open source pulmonary nodule image retrieval framework MO Lam, T Disney, DS Raicu, J Furst, DS Channin Journal of digital imaging 20, 63-71, 2007 | 64 | 2007 |
| A hybrid approach for liver segmentation R Susomboon, DS Raicu, J Furst Proceedings of MICCAI workshop on 3D segmentation in the clinic: a grand …, 2007 | 62 | 2007 |
| Building an ensemble system for diagnosing masses in mammograms Y Zhang, N Tomuro, J Furst, DS Raicu International journal of computer assisted radiology and surgery 7, 323-329, 2012 | 61 | 2012 |
| A comparison of texture models for automatic liver segmentation M Pham, R Susomboon, T Disney, D Raicu, J Furst Medical Imaging 2007: Image Processing 6512, 1467-1478, 2007 | 59 | 2007 |
| Content-based image retrieval for pulmonary computed tomography nodule images M Lam, T Disney, M Pham, D Raicu, J Furst, R Susomboon Medical Imaging 2007: PACS and Imaging Informatics 6516, 194-205, 2007 | 58 | 2007 |
| Mapping low-level image features to semantic concepts D Stan, IK Sethi Proceedings of the SPIE: Storage and Retrieval for Media Databases, 172-179, 2001 | 48 | 2001 |
| Probabilistic lung nodule classification with belief decision trees D Zinovev, J Feigenbaum, J Furst, D Raicu 2011 Annual International Conference of the IEEE Engineering in Medicine and …, 2011 | 41 | 2011 |
| eID: a system for exploration of image databases D Stan, IK Sethi Information processing & management 39 (3), 335-361, 2003 | 41 | 2003 |
| eID: A system for exploration of image databases D Stan, IK Sethi Information processing & management 39 (3), 335-361, 2003 | 41 | 2003 |
| Automatic extraction of informal topics from online suicidal ideation RN Grant, D Kucher, AM León, JF Gemmell, DS Raicu, SJ Fodeh BMC bioinformatics 19 (8), 57-66, 2018 | 36 | 2018 |
| Automatic segmentation of clinical texts E Apostolova, DS Channin, D Demner-Fushman, J Furst, S Lytinen, ... 2009 annual international conference of the IEEE engineering in medicine and …, 2009 | 35 | 2009 |
| Mapping LIDC, RadLex™, and lung nodule image features P Opulencia, DS Channin, DS Raicu, JD Furst Journal of digital imaging 24, 256-270, 2011 | 34 | 2011 |
| Semantics and image content integration for pulmonary nodule interpretation in thoracic computed tomography DS Raicu, E Varutbangkul, JG Cisneros, JD Furst, DS Channin, ... Medical Imaging 2007: Image Processing 6512, 272-283, 2007 | 34 | 2007 |
| Modelling semantics from image data: opportunities from LIDC DS Raicu, E Varutbangkul, JD Furst, SG Armato III International Journal of Biomedical Engineering and Technology 3 (1-2), 83-113, 2010 | 29 | 2010 |
Jacob FurstDePaul UniversityVerified email at depaul.edu
