Daniel C Sullivan
Daniel C Sullivan
Professor, Radiology, Duke university
Verified email at
Cited by
Cited by
AJCC cancer staging manual
S Edition, S Edge, D Byrd
AJCC cancer staging manual, 2017
The national lung screening trial: overview and study design
National Lung Screening Trial Research Team
Radiology 258 (1), 243-253, 2011
Job displacement and mortality: An analysis using administrative data
D Sullivan, T Von Wachter
The Quarterly Journal of Economics 124 (3), 1265-1306, 2009
Imaging biomarker roadmap for cancer studies
JPB O'connor, EO Aboagye, JE Adams, HJWL Aerts, SF Barrington, ...
Nature reviews Clinical oncology 14 (3), 169-186, 2017
American Cancer Society lung cancer screening guidelines
R Wender, ETH Fontham, E Barrera Jr, GA Colditz, TR Church, ...
CA: a cancer journal for clinicians 63 (2), 106-117, 2013
Consensus recommendations for the use of 18F-FDG PET as an indicator of therapeutic response in patients in National Cancer Institute Trials
LK Shankar, JM Hoffman, S Bacharach, MM Graham, J Karp, ...
Journal of Nuclear Medicine 47 (6), 1059-1066, 2006
Progress and promise of FDG-PET imaging for cancer patient management and oncologic drug development
GJ Kelloff, JM Hoffman, B Johnson, HI Scher, BA Siegel, EY Cheng, ...
Clinical Cancer Research 11 (8), 2785-2808, 2005
BI-RADS categorization as a predictor of malignancy
SG Orel, N Kay, C Reynolds, DC Sullivan
Radiology 211 (3), 845-850, 1999
Variability in the interpretation of screening mammograms by US radiologists: findings from a national sample
CA Beam, PM Layde, DC Sullivan
Archives of internal medicine 156 (2), 209-213, 1996
Metrology standards for quantitative imaging biomarkers
DC Sullivan, NA Obuchowski, LG Kessler, DL Raunig, C Gatsonis, ...
Radiology 277 (3), 813-825, 2015
MR imaging of ductal carcinoma in situ.
SG Orel, MH Mendonca, C Reynolds, MD Schnall, LJ Solin, DC Sullivan
Radiology 202 (2), 413-420, 1997
Quantitative imaging biomarkers: a review of statistical methods for technical performance assessment
DL Raunig, LM McShane, G Pennello, C Gatsonis, PL Carson, ...
Statistical methods in medical research 24 (1), 27-67, 2015
The emerging science of quantitative imaging biomarkers terminology and definitions for scientific studies and regulatory submissions
LG Kessler, HX Barnhart, AJ Buckler, KR Choudhury, MV Kondratovich, ...
Statistical methods in medical research 24 (1), 9-26, 2015
Clinical practice. Lung cancer screening
JL Mulshine, DC Sullivan
The New England journal of medicine 352 (26), 2714-2720, 2005
The progress and promise of molecular imaging probes in oncologic drug development
GJ Kelloff, KA Krohn, SM Larson, R Weissleder, DA Mankoff, JM Hoffman, ...
Clinical Cancer Research 11 (22), 7967-7985, 2005
How experience and training influence mammography expertise
CF Nodine, HL Kundel, C Mello-Thoms, SP Weinstein, SG Orel, ...
Academic radiology 6 (10), 575-585, 1999
Prediction of breast cancer malignancy using an artificial neural network
CE Floyd Jr, JY Lo, AJ Yun, DC Sullivan, PJ Kornguth
Cancer: Interdisciplinary International Journal of the American Cancer …, 1994
Monopsony power in the market for nurses
D Sullivan
The Journal of Law and Economics 32 (2, Part 2), S135-S178, 1989
Diagnostic performance characteristics of architectural features revealed by high spatial-resolution MR imaging of the breast.
LW Nunes, MD Schnall, ES Siegelman, CP Langlotz, SG Orel, D Sullivan, ...
AJR. American journal of roentgenology 169 (2), 409-415, 1997
Assessing relationships among strategic types, distinctive marketing competencies, and organizational performance
AG Woodside, DP Sullivan, RJ Trappey III
Journal of Business research 45 (2), 135-146, 1999
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