| Emission tomography: the fundamentals of PET and SPECT MN Wernick, JN Aarsvold Elsevier, 2004 | 942 | 2004 |
| A support vector machine approach for detection of microcalcifications I El-Naqa, Y Yang, MN Wernick, NP Galatsanos, RM Nishikawa IEEE transactions on medical imaging 21 (12), 1552-1563, 2002 | 745 | 2002 |
| Machine learning in medical imaging MN Wernick, Y Yang, JG Brankov, G Yourganov, SC Strother IEEE signal processing magazine 27 (4), 25-38, 2010 | 464 | 2010 |
| Spatial relationships in early signaling events of flow-mediated endothelial mechanotransduction PF Davies, KA Barbee, MV Volin, A Robotewskyj, J Chen, L Joseph, ... Annual review of physiology 59 (1), 527-549, 1997 | 437 | 1997 |
| A similarity learning approach to content-based image retrieval: application to digital mammography I El-Naqa, Y Yang, NP Galatsanos, RM Nishikawa, MN Wernick IEEE transactions on medical imaging 23 (10), 1233-1244, 2004 | 367 | 2004 |
| Multiple-image radiography MN Wernick, O Wirjadi, D Chapman, Z Zhong, NP Galatsanos, Y Yang, ... Physics in Medicine & Biology 48 (23), 3875, 2003 | 305 | 2003 |
| Relevance vector machine for automatic detection of clustered microcalcifications L Wei, Y Yang, RM Nishikawa, MN Wernick, A Edwards IEEE transactions on medical imaging 24 (10), 1278-1285, 2005 | 217 | 2005 |
| Prostate cancer localization with multispectral MRI using cost-sensitive support vector machines and conditional random fields Y Artan, MA Haider, DL Langer, TH Van der Kwast, AJ Evans, Y Yang, ... IEEE Transactions on Image Processing 19 (9), 2444-2455, 2010 | 184 | 2010 |
| Extraction of extinction, refraction and absorption properties in diffraction enhanced imaging O Oltulu, Z Zhong, M Hasnah, MN Wernick, D Chapman Journal of Physics D: Applied Physics 36 (17), 2152, 2003 | 183 | 2003 |
| Prostate cancer segmentation with simultaneous estimation of Markov random field parameters and class X Liu, DL Langer, MA Haider, Y Yang, MN Wernick, IS Yetik IEEE Transactions on Medical Imaging 28 (6), 906-915, 2009 | 173 | 2009 |
| Supervised and unsupervised methods for prostate cancer segmentation with multispectral MRI S Ozer, DL Langer, X Liu, MA Haider, TH Van der Kwast, AJ Evans, ... Medical physics 37 (4), 1873-1883, 2010 | 172 | 2010 |
| Fast spatio-temporal image reconstruction for dynamic PET MN Wernick, EJ Infusino, M Milosevic IEEE transactions on medical imaging 18 (3), 185-195, 1999 | 158 | 1999 |
| Preliminary assessment of extrastriatal dopamine D-2 receptor binding in the rodent and nonhuman primate brains using the high affinity radioligand, 18F-fallypride J Mukherjee, ZY Yang, T Brown, R Lew, M Wernick, X Ouyang, N Yasillo, ... Nuclear medicine and biology 26 (5), 519-527, 1999 | 156 | 1999 |
| Tomographic image reconstruction based on a content-adaptive mesh model JG Brankov, Y Yang, MN Wernick IEEE Transactions on medical imaging 23 (2), 202-212, 2004 | 128 | 2004 |
| A fast approach for accurate content-adaptive mesh generation Y Yang, MN Wernick, JG Brankov IEEE transactions on image processing 12 (8), 866-881, 2003 | 128 | 2003 |
| A physical model of multiple-image radiography G Khelashvili, JG Brankov, D Chapman, MA Anastasio, Y Yang, Z Zhong, ... Physics in Medicine & Biology 51 (2), 221, 2005 | 96 | 2005 |
| PET imaging of tau pathology and relationship to amyloid, longitudinal MRI, and cognitive change in Down syndrome: results from the Down Syndrome Biomarker Initiative (DSBI) MS Rafii, AS Lukic, RD Andrews, J Brewer, RA Rissman, SC Strother, ... Journal of Alzheimer's Disease 60 (2), 439-450, 2017 | 91 | 2017 |
| Prediction of cardiac death after adenosine myocardial perfusion SPECT based on machine learning DH Alonso, MN Wernick, Y Yang, G Germano, DS Berman, P Slomka Journal of Nuclear Cardiology 26 (5), 1746-1754, 2019 | 89 | 2019 |
| A computational model to generate simulated three‐dimensional breast masses L de Sisternes, JG Brankov, AM Zysk, RA Schmidt, RM Nishikawa, ... Medical physics 42 (2), 1098-1118, 2015 | 87 | 2015 |
| Improving diagnostic accuracy in low-dose SPECT myocardial perfusion imaging with convolutional denoising networks AJ Ramon, Y Yang, PH Pretorius, KL Johnson, MA King, MN Wernick IEEE transactions on medical imaging 39 (9), 2893-2903, 2020 | 83 | 2020 |
