17th International Workshop on Breast Imaging (IWBI 2024) ML Giger, HM Whitney, K Drukker, H Li Proc. of SPIE Vol 13174, 1317401-1, 2024 | | 2024 |
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 | 144 | 2007 |
A machine-learning algorithm for distinguishing malignant from benign indeterminate thyroid nodules using ultrasound radiomic features XM Keutgen, H Li, K Memeh, J Conn Busch, J Williams, L Lan, D Sarne, ... Journal of Medical Imaging 9 (3), 034501-034501, 2022 | 16 | 2022 |
A review of explainable and interpretable AI with applications in COVID‐19 imaging JD Fuhrman, N Gorre, Q Hu, H Li, I El Naqa, ML Giger Medical Physics 49 (1), 1-14, 2022 | 96 | 2022 |
A two-stage method for lesion segmentation on digital mammograms Y Yuan, ML Giger, K Suzuki, H Li, AR Jamieson Medical Imaging 2006: Image Processing 6144, 1247-1251, 2006 | 5 | 2006 |
Abstract No. 241 Fuzzy C-Means Segmentation of Hyperintense Metastatic Lesions in Hepatocyte-Avid Contrast T1-weighted DCE-MRI Studies G Casella, R Reeves, A Gomella, J Papaioannou, L Lan, H Li, N Tsiouplis, ... Journal of Vascular and Interventional Radiology 35 (3), S109, 2024 | | 2024 |
Adipocytokines and breast cancer J Li, X Han Current problems in cancer 42 (2), 208-214, 2018 | 66 | 2018 |
AI-based automated segmentation for ovarian/adnexal masses and their internal components on ultrasound imaging HM Whitney, R Yoeli-Bik, JS Abramowicz, L Lan, H Li, RE Longman, ... Journal of Medical Imaging 11 (4), 044505-044505, 2024 | | 2024 |
Artificial intelligence and interpretations in breast cancer imaging H Li, ML Giger Artificial intelligence in medicine, 291-308, 2021 | 6 | 2021 |
Assessment of Case-Based Repeatability of AI Using Mammographic Radiomics of Breast Lesions H Whitney, P Amstutz, K Drukker, H Li, H Abe, M Giger MEDICAL PHYSICS 48 (6), 2021 | | 2021 |
Association between DCE MRI background parenchymal enhancement and mammographic texture features N Baughan, L Douglas, M Ballard, ES Lee, A Edwards, L Lan, H Li, ... Medical Imaging 2022: Computer-Aided Diagnosis 12033, 214-219, 2022 | | 2022 |
Automatic segmentation of malignant and benign adnexal lesions on ultrasound scans HM Whitney, R Yoeli-Bik, JS Abramowicz, L Lan, H Li, R Longman, ... Medical Imaging 2024: Computer-Aided Diagnosis 12927, 8-11, 2024 | | 2024 |
Automatic selection of region of interest for radiographic texture analysis L Lan, ML Giger, JR Wilkie, TJ Vokes, W Chen, H Li, T Lyons, ... Medical Imaging 2007: Computer-Aided Diagnosis 6514, 986-992, 2007 | 3 | 2007 |
Automating tumor segmentation and tumor enhancement quantification of I-SPY2 data A Frantzen, HM Whitney, H Li, K Drukker, A Edwards, J Papaioannou, ... Medical Imaging 2024: Computer-Aided Diagnosis 12927, 787-791, 2024 | | 2024 |
Breast cancer classification with mammography and DCE-MRI Y Yuan, ML Giger, H Li, C Sennett Medical Imaging 2009: Computer-Aided Diagnosis 7260, 212-216, 2009 | | 2009 |
Breast density estimation from high spectral and spatial resolution MRI H Li, WA Weiss, M Medved, H Abe, GM Newstead, GS Karczmar, ... Journal of Medical Imaging 3 (4), 044507-044507, 2016 | 14 | 2016 |
BREAST IMAG H Li, Y Zhu, ES Burnside, K Drukker, MBAKA Hoadley, C Fan, SD Conzen, ... genomics 19, 23, 0 | | |
Breast lesion classification based on dynamic contrast-enhanced magnetic resonance images sequences with long short-term memory networks N Antropova, B Huynh, H Li, ML Giger Journal of Medical Imaging 6 (1), 011002-011002, 2019 | 47 | 2019 |
Breast MRI radiomics: comparison of computer-and human-extracted imaging phenotypes EJ Sutton, EP Huang, K Drukker, ES Burnside, H Li, JM Net, A Rao, ... European radiology experimental 1, 1-10, 2017 | 36 | 2017 |
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 | 235 | 2010 |