Curtis P. Langlotz
Curtis P. Langlotz
Professor and Associate Chair for Information Systems, Department of Radiology, Stanford University
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Citata da
Chexnet: Radiologist-level pneumonia detection on chest x-rays with deep learning
P Rajpurkar, J Irvin, K Zhu, B Yang, H Mehta, T Duan, D Ding, A Bagul, ...
arXiv preprint arXiv:1711.05225, 2017
Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison
J Irvin, P Rajpurkar, M Ko, Y Yu, S Ciurea-Ilcus, C Chute, H Marklund, ...
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 590-597, 2019
RadLex: a new method for indexing online educational materials
CP Langlotz
Radiographics 26 (6), 1595-1597, 2006
Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists
P Rajpurkar, J Irvin, RL Ball, K Zhu, B Yang, H Mehta, T Duan, D Ding, ...
PLoS medicine 15 (11), e1002686, 2018
Breast MR imaging: interpretation model.
LW Nunes, MD Schnall, SG Orel, MG Hochman, CP Langlotz, ...
Radiology 202 (3), 833-841, 1997
Performance of a deep-learning neural network model in assessing skeletal maturity on pediatric hand radiographs
DB Larson, MC Chen, MP Lungren, SS Halabi, NV Stence, CP Langlotz
Radiology 287 (1), 313-322, 2018
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
Acute appendicitis: comparison of helical CT diagnosis—focused technique with oral contrast material versus nonfocused technique with oral and intravenous contrast material
JE Jacobs, BA Birnbaum, M Macari, AJ Megibow, G Israel, DD Maki, ...
Radiology 220 (3), 683-690, 2001
Toward best practices in radiology reporting
CE Kahn Jr, CP Langlotz, ES Burnside, JA Carrino, DS Channin, ...
Radiology 252 (3), 852-856, 2009
Deep-learning-assisted diagnosis for knee magnetic resonance imaging: development and retrospective validation of MRNet
N Bien, P Rajpurkar, RL Ball, J Irvin, A Park, E Jones, M Bereket, BN Patel, ...
PLoS medicine 15 (11), e1002699, 2018
Structured Reporting: Patient Care Enhancement or Productivity Nightmare?1
DL Weiss, CP Langlotz
Radiology 249 (3), 739-747, 2008
Diagnostic criteria for fatty infiltration of the liver on contrast-enhanced helical CT.
JE Jacobs, BA Birnbaum, MA Shapiro, CP Langlotz, F Slosman, ...
AJR. American journal of roentgenology 171 (3), 659-664, 1998
Adapting a consultation system to critique user plans
CP Langlotz, EH Shortliffe
International Journal of Man-Machine Studies 19 (5), 479-496, 1983
Clinical and economic impact of incidental thyroid lesions found with CT and MR.
DM Youserm, T Huang, LA Loevner, CP Langlotz
American journal of neuroradiology 18 (8), 1423-1428, 1997
CD4 T lymphocyte count and the radiographic presentation of pulmonary tuberculosis: a study of the relationship between these factors in patients with human immunodeficiency …
MD Keiper, M Beumont, A Elshami, CP Langlotz, WT Miller Jr
Chest 107 (1), 74-80, 1995
A Framework for Comparing Alternative Formalisms for Plausible Reasoning.
E Horvitz, D Heckerman, C Langlotz
AAAI, 210-214, 1986
Contrast media reactions and extravasation: relationship to intravenous injection rates.
JE Jacobs, BA Birnbaum, CP Langlotz
Radiology 209 (2), 411-416, 1998
Mura: Large dataset for abnormality detection in musculoskeletal radiographs
P Rajpurkar, J Irvin, A Bagul, D Ding, T Duan, H Mehta, B Yang, K Zhu, ...
arXiv preprint arXiv:1712.06957, 2017
Deep learning in neuroradiology
G Zaharchuk, E Gong, M Wintermark, D Rubin, CP Langlotz
American Journal of Neuroradiology 39 (10), 1776-1784, 2018
The radiology report of the future: a summary of the 2007 Intersociety Conference
NR Dunnick, CP Langlotz
Journal of the American College of Radiology 5 (5), 626-629, 2008
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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