Digital mammographic tumor classification using transfer learning from deep convolutional neural networks BQ Huynh, H Li, ML Giger Journal of Medical Imaging 3 (3), 034501-034501, 2016 | 507 | 2016 |
MR imaging radiomics signatures for predicting the risk of breast cancer recurrence as given by research versions of MammaPrint, Oncotype DX, and PAM50 gene assays H Li, Y Zhu, ES Burnside, K Drukker, KA Hoadley, C Fan, SD Conzen, ... Radiology 281 (2), 382-391, 2016 | 434 | 2016 |
Volumetric texture analysis of breast lesions on contrast‐enhanced magnetic resonance images W Chen, ML Giger, H Li, U Bick, GM Newstead Magnetic Resonance in Medicine: An Official Journal of the International …, 2007 | 374 | 2007 |
Quantitative MRI radiomics in the prediction of molecular classifications of breast cancer subtypes in the TCGA/TCIA data set H Li, Y Zhu, ES Burnside, E Huang, K Drukker, KA Hoadley, C Fan, ... NPJ breast cancer 2, 16012, 2016 | 291 | 2016 |
Cancerous breast lesions on dynamic contrast-enhanced MR images: computerized characterization for image-based prognostic markers N Bhooshan, ML Giger, SA Jansen, H Li, L Lan, GM Newstead Radiology 254 (3), 680-690, 2010 | 216 | 2010 |
Using selective withdrawal to coat microparticles I Cohen, H Li, JL Hougland, M Mrksich, SR Nagel Science 292 (5515), 265-267, 2001 | 192 | 2001 |
Deciphering genomic underpinnings of quantitative MRI-based radiomic phenotypes of invasive breast carcinoma Y Zhu, H Li, W Guo, K Drukker, L Lan, ML Giger, Y Ji Scientific reports 5 (1), 17787, 2015 | 154 | 2015 |
Exploring nonlinear feature space dimension reduction and data representation in breast CADx with Laplacian eigenmaps and‐SNE AR Jamieson, ML Giger, K Drukker, H Li, Y Yuan, N Bhooshan Medical physics 37 (1), 339-351, 2010 | 154 | 2010 |
Prediction of clinical phenotypes in invasive breast carcinomas from the integration of radiomics and genomics data W Guo, H Li, Y Zhu, L Lan, S Yang, K Drukker, E Morris, E Burnside, ... Journal of medical imaging 2 (4), 041007-041007, 2015 | 148 | 2015 |
Catalytic asymmetric dihydroxylation by gold colloids functionalized with self-assembled monolayers H Li, YY Luk, M Mrksich Langmuir 15 (15), 4957-4959, 1999 | 148 | 1999 |
Computerized texture analysis of mammographic parenchymal patterns of digitized mammograms1 H Li, ML Giger, OI Olopade, A Margolis, L Lan, MR Chinander Academic Radiology 12 (7), 863-873, 2005 | 143 | 2005 |
A dual‐stage method for lesion segmentation on digital mammograms Y Yuan, ML Giger, H Li, K Suzuki, C Sennett Medical physics 34 (11), 4180-4193, 2007 | 138 | 2007 |
Computerized analysis of mammographic parenchymal patterns for assessing breast cancer risk: effect of ROI size and location H Li, ML Giger, Z Huo, OI Olopade, L Lan, BL Weber, I Bonta Medical physics 31 (3), 549-555, 2004 | 135 | 2004 |
Fractal analysis of mammographic parenchymal patterns in breast cancer risk assessment H Li, ML Giger, OI Olopade, L Lan Academic radiology 14 (5), 513-521, 2007 | 118 | 2007 |
Transfer learning from convolutional neural networks for computer-aided diagnosis: a comparison of digital breast tomosynthesis and full-field digital mammography K Mendel, H Li, D Sheth, M Giger Academic radiology 26 (6), 735-743, 2019 | 81 | 2019 |
Deep learning in breast cancer risk assessment: evaluation of convolutional neural networks on a clinical dataset of full-field digital mammograms H Li, ML Giger, BQ Huynh, NO Antropova Journal of medical imaging 4 (4), 041304-041304, 2017 | 77 | 2017 |
Digital mammography in breast cancer: additive value of radiomics of breast parenchyma H Li, KR Mendel, L Lan, D Sheth, ML Giger Radiology 291 (1), 15-20, 2019 | 72 | 2019 |
Using computer‐extracted image phenotypes from tumors on breast magnetic resonance imaging to predict breast cancer pathologic stage ES Burnside, K Drukker, H Li, E Bonaccio, M Zuley, M Ganott, JM Net, ... Cancer 122 (5), 748-757, 2016 | 71 | 2016 |
Multimodality computer-aided breast cancer diagnosis with FFDM and DCE-MRI Y Yuan, ML Giger, H Li, N Bhooshan, CA Sennett Academic radiology 17 (9), 1158-1167, 2010 | 69 | 2010 |
Variation in algorithm implementation across radiomics software JJ Foy, KR Robinson, H Li, ML Giger, H Al-Hallaq, SG Armato III Journal of medical imaging 5 (4), 044505-044505, 2018 | 65 | 2018 |