Maryellen Giger
Cytowane przez
Cytowane przez
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
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
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
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
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, 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
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
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, 2016
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
Automated seeded lesion segmentation on digital mammograms
MA Kupinski, ML Giger
IEEE Transactions on medical imaging 17 (4), 510-517, 1998
Machine learning in medical imaging
ML Giger
Journal of the American College of Radiology 15 (3), 512-520, 2018
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
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
Automated detection of lung nodules in CT scans: preliminary results
SG Armato III, ML Giger, H MacMahon
Medical physics 28 (8), 1552-1561, 2001
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
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
Computerized detection of pulmonary nodules in computed tomography images.
ML Giger, KT Bae, H MacMahon
Investigative radiology 29 (4), 459-465, 1994
Computerized detection of masses in digital mammograms: Analysis of bilateral subtraction images
FF Yin, ML Giger, K Doi, CE Metz, CJ Vyborny, RA Schmidt
Medical physics 18 (5), 955-963, 1991
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
Analysis of spiculation in the computerized classification of mammographic masses
Z Huo, ML Giger, CJ Vyborny, U Bick, P Lu, DE Wolverton, RA Schmidt
Medical Physics 22 (10), 1569-1579, 1995
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