D. Lalevic

发表

Code Abdomen: An Assessment Coding Scheme for Abdominal Imaging Findings Possibly Representing Cancer.

C. Langlotz, T. Cook, C. E. Kahn, 2015, Journal of the American College of Radiology : JACR.

Patient Factor Disparities in Imaging Follow-Up Rates After Incidental Abdominal Findings.

T. Cook, H. Zafar, D. Lalevic, 2019, AJR. American journal of roentgenology.

Time to Talk: Can Radiologists Improve Follow-Up of Abdominal Imaging Findings Indeterminate for Malignancy by Initiating Verbal Communication?

Geraldine J. Liao, T. Cook, J. Liao, 2018, Journal of the American College of Radiology : JACR.

Referring Provider Perceptions of Standardized Reporting for Possible Abdominal Cancer.

T. Cook, H. Zafar, S. Chadalavada, 2017, Journal of the American College of Radiology : JACR.

Am I Ready to Be an Independent Neuroradiologist? Objective Trends in Neuroradiology Fellows' Performance during the Fellowship Year

T. Cook, J. Schmitt, S. Mohan, 2021, American Journal of Neuroradiology.

Initial Effectiveness of a Monitoring System to Correctly Identify Inappropriate Lack of Follow-Up for Abdominal Imaging Findings of Possible Cancer.

T. Cook, P. Dunbar, H. Zafar, 2016, Journal of the American College of Radiology : JACR.

Location, Location, Location: The Association Between Imaging Setting and Follow-Up of Findings of Indeterminate Malignant Potential.

Geraldine J. Liao, T. Cook, J. Liao, 2019, Journal of the American College of Radiology : JACR.

Automated Detection of Radiology Reports that Require Follow-up Imaging Using Natural Language Processing Feature Engineering and Machine Learning Classification

Darco Lalevic, Hanna M. Zafar, Tessa S. Cook, 2019, Journal of Digital Imaging.

Implementation of an Automated Radiology Recommendation-Tracking Engine for Abdominal Imaging Findings of Possible Cancer.

Darco Lalevic, Mitchell D Schnall, Tessa S Cook, 2017, Journal of the American College of Radiology : JACR.

Automated Organ-Level Classification of Free-Text Pathology Reports to Support a Radiology Follow-up Tracking Engine.

Jackson M. Steinkamp, Darco Lalevic, Hanna M. Zafar, 2019, Radiology. Artificial intelligence.

Toward Complete Structured Information Extraction from Radiology Reports Using Machine Learning

Jackson M. Steinkamp, Charles Chambers, Darco Lalevic, 2019, Journal of Digital Imaging.