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Jay A Baker
Jay A Baker
Professor of Radiology, Duke University Medical Center
Bestätigte E-Mail-Adresse bei duke.edu
Titel
Zitiert von
Zitiert von
Jahr
Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance
MA Mazurowski, PA Habas, JM Zurada, JY Lo, JA Baker, GD Tourassi
Neural networks 21 (2-3), 427-436, 2008
10792008
BI-RADS for sonography: positive and negative predictive values of sonographic features
AS Hong, EL Rosen, MS Soo, JA Baker
American Journal of Roentgenology 184 (4), 1260-1265, 2005
5142005
Photodynamic therapy of subfoveal choroidal neovascularization in pathologic myopia with verteporfin-1-year results of a randomized clinical trial-VIP report no. 1
J Arnold, D Kilmartin, J Olson, S Neville, K Robinson, A Laird, ...
Ophthalmology 108 (5), 841-852, 2001
4342001
Accuracy of MRI in the detection of residual breast cancer after neoadjuvant chemotherapy
EL Rosen, KL Blackwell, JA Baker, MS Soo, RC Bentley, D Yu, ...
American Journal of Roentgenology 181 (5), 1275-1282, 2003
3522003
Breast cancer: prediction with artificial neural network based on BI-RADS standardized lexicon.
JA Baker, PJ Kornguth, JY Lo, ME Williford, CE Floyd Jr
Radiology 196 (3), 817-822, 1995
3331995
Computer-aided detection (CAD) in screening mammography: sensitivity of commercial CAD systems for detecting architectural distortion
JA Baker, EL Rosen, JY Lo, EI Gimenez, R Walsh, MS Soo
American Journal of Roentgenology 181 (4), 1083-1088, 2003
3122003
Breast tomosynthesis: state-of-the-art and review of the literature
JA Baker, JY Lo
Academic radiology 18 (10), 1298-1310, 2011
2632011
Sonographic detection and sonographically guided biopsy of breast microcalcifications
MS Soo, JA Baker, EL Rosen
American Journal of Roentgenology 180 (4), 941-948, 2003
2552003
Breast imaging reporting and data system standardized mammography lexicon: observer variability in lesion description.
JA Baker, PJ Kornguth, CE Floyd Jr
AJR. American journal of roentgenology 166 (4), 773-778, 1996
2481996
Sonography of solid breast lesions: observer variability of lesion description and assessment.
JA Baker, PJ Kornguth, MS Soo, R Walsh, P Mengoni
AJR. American journal of roentgenology 172 (6), 1621-1625, 1999
2351999
Imaging-guided core needle biopsy of papillary lesions of the breast
EL Rosen, RC Bentley, JA Baker, MS Soo
American Journal of Roentgenology 179 (5), 1185-1192, 2002
2022002
Negative predictive value of sonography with mammography in patients with palpable breast lesions
MS Soo, EL Rosen, JA Baker, TT Vo, BA Boyd
American Journal of Roentgenology 177 (5), 1167-1170, 2001
1612001
Detection of primary breast carcinoma with a dedicated, large-field-of-view FDG PET mammography device: initial experience
EL Rosen, TG Turkington, MS Soo, JA Baker, RE Coleman
Radiology 234 (2), 527-534, 2005
1602005
Breast Mass Lesions: Computer-aided Diagnosis Models with Mammographic and Sonographic Descriptors1
JL Jesneck, JY Lo, JA Baker
Radiology 244 (2), 390-398, 2007
1572007
Preoperative single-fraction partial breast radiation therapy: A novel phase 1, dose-escalation protocol with radiation response biomarkers
JK Horton, RC Blitzblau, S Yoo, J Geradts, Z Chang, JA Baker, ...
International Journal of Radiation Oncology* Biology* Physics 92 (4), 846-855, 2015
1372015
Artificial neural network: improving the quality of breast biopsy recommendations.
JA Baker, PJ Kornguth, JY Lo, CE Floyd Jr
Radiology 198 (1), 131-135, 1996
1311996
Breast cancer deaths averted over 3 decades
RE Hendrick, JA Baker, MA Helvie
Cancer 125 (9), 1482-1488, 2019
1282019
Home oxygen therapy for children. An official American Thoracic Society clinical practice guideline
D Hayes Jr, KC Wilson, K Krivchenia, SMM Hawkins, IM Balfour-Lynn, ...
American journal of respiratory and critical care medicine 199 (3), e5-e23, 2019
1222019
Interpretation of digital mammograms: comparison of speed and accuracy of soft-copy versus printed-film display
ED Pisano, EB Cole, EO Kistner, KE Muller, BM Hemminger, ML Brown, ...
Radiology 223 (2), 483-488, 2002
1212002
Predicting breast cancer invasion with artificial neural networks on the basis of mammographic features.
JY Lo, JA Baker, PJ Kornguth, JD Iglehart, CE Floyd Jr
Radiology 203 (1), 159-163, 1997
1201997
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