| Artificial intelligence in cancer imaging: clinical challenges and applications WL Bi, A Hosny, MB Schabath, ML Giger, NJ Birkbak, A Mehrtash, ... CA: a cancer journal for clinicians 69 (2), 127-157, 2019 | 1689 | 2019 |
| Deep learning in medical imaging and radiation therapy B Sahiner, A Pezeshk, LM Hadjiiski, X Wang, K Drukker, KH Cha, ... Medical physics 46 (1), e1-e36, 2019 | 847 | 2019 |
| Machine learning in medical imaging ML Giger Journal of the American College of Radiology 15 (3), 512-520, 2018 | 646 | 2018 |
| 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 | 646 | 2016 |
| Artificial neural networks in mammography: application to decision making in the diagnosis of breast cancer. Y Wu, ML Giger, K Doi, CJ Vyborny, RA Schmidt, CE Metz Radiology 187 (1), 81-87, 1993 | 637 | 1993 |
| Computerized detection of pulmonary nodules on CT scans SG Armato, ML Giger, CJ Moran, JT Blackburn, K Doi, H MacMahon Radiographics 19 (5), 1303-1311, 1999 | 578 | 1999 |
| 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 | 519 | 2016 |
| A fuzzy c-means (fcm)-based approach for computerized segmentation of breast lesions in dynamic contrast-enhanced mr images1 W Chen, ML Giger, U Bick Academic radiology 13 (1), 63-72, 2006 | 497 | 2006 |
| Improving breast cancer diagnosis with computer-aided diagnosis Y Jiang, RM Nishikawa, RA Schmidt, CE Metz, ML Giger, K Doi Academic radiology 6 (1), 22-33, 1999 | 448 | 1999 |
| Anniversary Paper: History and status of CAD and quantitative image analysis: The role of Medical Physics and AAPM ML Giger, HP Chan, J Boone Medical physics 35 (12), 5799-5820, 2008 | 446 | 2008 |
| A deep feature fusion methodology for breast cancer diagnosis demonstrated on three imaging modality datasets N Antropova, BQ Huynh, ML Giger Medical physics 44 (10), 5162-5171, 2017 | 433 | 2017 |
| 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 | 413 | 2007 |
| Image feature analysis and computer‐aided diagnosis in digital radiography. 3. Automated detection of nodules in peripheral lung fields ML Giger, K Doi, H MacMahon Medical Physics 15 (2), 158-166, 1988 | 386 | 1988 |
| Automated seeded lesion segmentation on digital mammograms MA Kupinski, ML Giger IEEE Transactions on medical imaging 17 (4), 510-517, 1998 | 375 | 1998 |
| 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 | 373 | 2016 |
| Lung cancer: performance of automated lung nodule detection applied to cancers missed in a CT screening program SG Armato, F Li, ML Giger, H MacMahon, S Sone, K Doi Radiology 225 (3), 685-692, 2002 | 369 | 2002 |
| Automated detection of lung nodules in CT scans: preliminary results SG Armato III, ML Giger, H MacMahon Medical physics 28 (8), 1552-1561, 2001 | 359 | 2001 |
| Computerized detection of pulmonary nodules in computed tomography images ML Giger, KT Bae, H MacMahon Investigative radiology 29 (4), 459-465, 1994 | 335 | 1994 |
| Malignant and benign clustered microcalcifications: automated feature analysis and classification. Y Jiang, RM Nishikawa, DE Wolverton, CE Metz, ML Giger, RA Schmidt, ... Radiology 198 (3), 671-678, 1996 | 329 | 1996 |
| Digital image subtraction of temporally sequential chest images for detection of interval change A Kano, K Doi, H MacMahon, DD Hassell, ML Giger Medical Physics 21 (3), 453-461, 1994 | 319 | 1994 |
Hui LiUniversity of ChicagoE-mailová adresa ověřena na: uchicago.edu
