| 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 | 1236 | 2009 |
| Run-length encoding for volumetric texture DH Xu, AS Kurani, JD Furst, DS Raicu Heart 27 (25), 452-458, 2004 | 237 | 2004 |
| Co-occurrence matrices for volumetric data AS Kurani, DH Xu, J Furst, DS Raicu Heart 27, 25, 2004 | 187 | 2004 |
| 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 | 135 | 2005 |
| Examining case definition criteria for chronic fatigue syndrome and myalgic encephalomyelitis LA Jason, M Sunnquist, A Brown, M Evans, SD Vernon, JD Furst, ... Fatigue: biomedicine, health & behavior 2 (1), 40-56, 2014 | 83 | 2014 |
| 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 | 68 | 2012 |
| 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 | 68 | 2009 |
| 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 | 65 | 2007 |
| 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 |
| An improved articulated model of the human hand J McDonald, J Toro, K Alkoby, A Berthiaume, R Carter, P Chomwong, ... The Visual Computer 17, 158-166, 2001 | 63 | 2001 |
| 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 | 61 | 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 |
| Chronic fatigue syndrome and myalgic encephalomyelitis: towards an empirical case definition LA Jason, B Kot, M Sunnquist, A Brown, M Evans, R Jantke, Y Williams, ... Health psychology and behavioral medicine 3 (1), 82-93, 2015 | 56 | 2015 |
| Marching cores: A method for extracting cores from 3D medical images JD Furst, SM Pizer, DH Eberly Proceedings of the Workshop on Mathematical Methods in Biomedical Image …, 1996 | 48 | 1996 |
| Factor analysis of the DePaul Symptom Questionnaire: Identifying core domains LA Jason, M Sunnquist, A Brown, J Furst, M Cid, J Farietta, B Kot, ... Journal of neurology and neurobiology 1 (4), 2015 | 46 | 2015 |
| Marching ridges. JD Furst, SM Pizer SIP 1, 22-26, 2001 | 46 | 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 | 43 | 2011 |
| 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 | 42 | 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 | 40 | 2011 |
| Carving database storage to detect and trace security breaches J Wagner, A Rasin, B Glavic, K Heart, J Furst, L Bressan, J Grier Digital Investigation 22, S127-S136, 2017 | 39 | 2017 |
