Denise R. Aberle
Orcid: 0000-0002-8858-3401
According to our database1,
Denise R. Aberle
authored at least 40 papers
between 1993 and 2022.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2022
Capturing Demographic, Health-Related, and Psychosocial Variables in a Standardized Manner: Towards Improving Cancer Screening Adherence.
Proceedings of the AMIA 2022, 2022
2020
EDICNet: An end-to-end detection and interpretable malignancy classification network for pulmonary nodules in computed tomography.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
2019
An interpretable deep hierarchical semantic convolutional neural network for lung nodule malignancy classification.
Expert Syst. Appl., 2019
IEEE Access, 2019
Explainable Hierarchical Semantic Convolutional Neural Network for Lung Cancer Diagnosis.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
2018
Evaluating Casama: Contextualized semantic maps for summarization of lung cancer studies.
Comput. Biol. Medicine, 2018
2016
Prediction of lung cancer incidence on the low-dose computed tomography arm of the National Lung Screening Trial: A dynamic Bayesian network.
Artif. Intell. Medicine, 2016
Proceedings of the 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2016
2015
J. Assoc. Inf. Sci. Technol., 2015
Representing and extracting lung cancer study metadata: Study objective and study design.
Comput. Biol. Medicine, 2015
2014
Proceedings of the AMIA 2014, 2014
2013
Perspective: Imaging-based observational databases for clinical problem solving: the role of informatics.
J. Am. Medical Informatics Assoc., 2013
2007
IEEE Trans. Inf. Technol. Biomed., 2007
IEEE Trans. Inf. Technol. Biomed., 2007
Comput. Medical Imaging Graph., 2007
Computer-aided characterization of solitary pulmonary nodules (SPNs) using structural 3D, texture, and functional dynamic contrast features.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007
The Lung Image Database Consortium (LIDC): pulmonary nodule measurements, the variation, and the difference between different size metrics.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007
The Lung Image Database Consortium (LIDC) data collection process for nodule detection and annotation.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007
The Lung Image Database Consortium (LIDC): a quality assurance model for the collection of expert-defined truth in lung-nodule-based image analysis studies.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007
2006
The influence of CT dose and reconstruction parameters on automated detection of small pulmonary nodules.
Proceedings of the Medical Imaging 2006: Image Processing, 2006
2005
IEEE Trans. Inf. Technol. Biomed., 2005
Solitary pulmonary nodule characterization on CT by use of contrast enhancement maps.
Proceedings of the Medical Imaging 2005: Image Processing, 2005
2004
Proceedings of the MEDINFO 2004, 2004
Computer-aided lung nodule diagnosis using a simple classifier.
Proceedings of the CARS 2004. Computer Assisted Radiology and Surgery. Proceedings of the 18th International Congress and Exhibition, 2004
2001
IEEE Trans. Medical Imaging, 2001
Application of Information Technology: Problem-oriented Prefetching for an Integrated Clinical Imaging Workstation.
J. Am. Medical Informatics Assoc., 2001
Computer-aided diagnosis of the solitary pulmonary nodule imaged on CT: 2D, 3D, and contrast enhancement features.
Proceedings of the Medical Imaging 2001: Image Processing, 2001
Proceedings of the Medical Imaging 2001: Image Processing, 2001
2000
Classification of solitary pulmonary nodules (SPNs) imaged on high-resolution CT using contrast enhancement and three-dimensional quantitative image features.
Proceedings of the Medical Imaging 2000: Image Processing, 2000
1999
Proceedings of the AMIA 1999, 1999
1998
Application of image analysis techniques to distinguish benign from malignant solitary pulmonary nodules imaged on CT.
Proceedings of the Medical Imaging 1998: Image Processing, 1998
Proceedings of the Medical Imaging 1998: Image Processing, 1998
Proceedings of the AMIA 1998, 1998
1997
Methods for Segmenting Chest CT Image Data Using an Anatomical Model: Preliminary Results.
IEEE Trans. Medical Imaging, 1997
An extensible knowledge-based architecture for segmenting computed tomography images.
Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997
1996
Pattern classification approach to characterizing solitary pulmonary nodules imaged on high-resolution computed tomography.
Proceedings of the Medical Imaging 1996: Image Processing, 1996
1993
Proceedings of the Twelfth IEEE Symposium on Mass Storage Systems, 1993