Denise-Aberle,-MD--
daberle@mednet.ucla.edu
(310) 794-3540
Office Info

924 Westwood Blvd, Suite 420, Room D

Denise Aberle, MD

Professor, Department of Radiological Sciences
Professor, Department of Bioengineering
Vice Chair for Research, Department of Radiological Sciences

BIOGRAPHY

Following completion of a doctorate in medicine in 1979, Dr. Aberle completed residency training in internal medicine and subsequently in diagnostic radiology, with fellowship training in thoracic imaging. Dr. Aberle is a well-established clinical researcher. She is a leader in cancer screening trials, having spearheaded the National Lung Screening Trial (NLST), a multi-center endeavor and the largest prospective randomized imaging trial on lung cancer screening in the world. Additionally, she is involved in multiple NIH research projects. She serves in leadership capacities for multiple organizations, including ECOG-ACRIN (Eastern Cooperative Oncology Group-American College of Radiology Imaging Network), where she is Co-Chair of the Early Detection, Diagnosis, and Surveillance Committee and a member of the Executive Committee through which all clinical trials and research opportunities are approved. She also serves on the IASLC (Intl Association for the Study of Lung Cancer) Screening Executive Committee and Co-Chairs the Radiology Working Group. She has been awarded for her teaching excellence at UCLA and received awards for outstanding scientific leadership from ACRIN, the Society of Thoracic Radiology, the IASLC, the Academy of Radiology Research, and the inaugural award for Outstanding Achievement in Clinical and Translational Research from the UCLA Clinical Translational Science Institute (CTSI).

Administrative assistant: Brian Manning
bmanning@mednet.ucla.edu

Publications

2020
Lin Y, Wei L, Han SX, Aberle DR, Hsu W. EDICNet: An end-to-end detection and interpretable malignancy classification network for pulmonary nodules in computed tomography. Proc SPIE Int Soc Opt Eng. 2020 Feb;11314:113141H. DOI: 10.1117/12.2551220. Epub 2020 Mar 16. PMID: 32606487; PMCID: PMC7325481 Lin Y, Wei L, Han SX, Aberle DR, Hsu W. EDICNet: An end-to-end detection and interpretable malignancy classification network for pulmonary nodules in computed tomography. Proc. SPIE 11314, Medical Imaging 2020: Computer-Aided Diagnosis, 113141H. 16 March 2020. DOI: 10.1117/12.2551220.
2019
Munden RF, Chiles C, Boiselle PM, Sicks JD, Aberle DR, Gatsonis CA. Micronodules Detected on Computed Tomography During the National Lung Screening Trial: Prevalence and Relation to Positive Studies and Lung Cancer. J Thorac Oncol. 2019 Sep;14(9):1538-1546. DOI: 10.1016/j.jtho.2019.05.045. Epub 2019 Jul 8. PMID: 31295576; PMCID: PMC6708760. Petousis P, Winter A, Speier W, Aberle DR, Hsu W, Bui AAT. Using Sequential Decision Making to Improve Lung Cancer Screening Performance. IEEE Access. 2019;7:119403-119419. doi: 10.1109/ACCESS.2019.2935763. Epub 2019 Aug 16. PMID: 32754420; PMCID: PMC7402617. Shen S, Han SX, Aberle DR, Bui AAT, Hsu W. An Interpretable Deep Hierarchical Semantic Convolutional Neural Network for Lung Nodule Malignancy Classification. Expert Syst Appl. 2019 Aug 15;128:84-95. DOI: 10.1016/j.eswa.2019.01.048. Epub 2019 Jan 18. PMID: 31296975; PMCID: PMC6623975. Schabath MB, Aberle DR. MILD trial, strong confirmation of lung cancer screening efficacy. Nat Rev Clin Oncol. 2019 Sep;16(9):529-530. DOI: 10.1038/s41571-019-0231-3. PMID: 31118491. Winter A, Aberle DR, Hsu W. External validation and recalibration of the Brock model to predict probability of cancer in pulmonary nodules using NLST data. Thorax. 2019 Jun;74(6):551-563. DOI: 10.1136/thoraxjnl-2018-212413. Epub 2019 Mar 21. PMID: 30898897.
2018
Winter A, Aberle DR, Hsu W. External validation and Re-Calibration of the Brock Model to Predict Probability of Cancer in Pulmonary Nodules using NLST Data. RSNA. Chicago, USA; 2018. Garcia-Gathright JI, Matiasz NJ, Adame C, Sarma KV, Sauer L, Smedley NF, Spiegel ML, Strunck J, Garon EB, Taira RK, Aberle DR, Bui AAT. Evaluating Casama: Contextualized semantic maps for summarization of lung cancer studies. Comput Biol Med. 2018 Jan 1;92:55-63. DOI: 10.1016/j.compbiomed.2017.10.034. Epub 2017 Nov 3. PMID: 29149658; PMCID: PMC5762403.
2016
Petousis P, Han SX, Aberle DR, Bui AAT. Prediction of lung cancer incidence on the low-dose computed tomography arm of the National Lung Screening Trial: A dynamic Bayesian network. Artif Intell Med. 2016 Sep;72:42-55. DOI: 10.1016/j.artmed.2016.07.001. Epub 2016 Jul 27. PMID: 27664507; PMCID: PMC5082434..

Research Projects