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Denise R. Aberle
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2020 – today
- 2024
- [c25]Yunzheng Zhu, Luoting Zhuang, Yannan Lin, Tengyue Zhang, Hossein Tabatabaei, Denise R. Aberle, Ashley Prosper, Aichi Chien, William Hsu
:
DART: Deformable Anatomy-Aware Registration Toolkit for Lung CT Registration with Keypoints Supervision. ISBI 2024: 1-5 - 2022
- [c24]Yannan Lin, Ruiwen Ding, Ashley Prosper, Denise R. Aberle, Alex A. T. Bui, William Hsu:
Capturing Demographic, Health-Related, and Psychosocial Variables in a Standardized Manner: Towards Improving Cancer Screening Adherence. AMIA 2022 - 2020
- [c23]Yannan Lin
EDICNet: An end-to-end detection and interpretable malignancy classification network for pulmonary nodules in computed tomography. Medical Imaging: Computer-Aided Diagnosis 2020
2010 – 2019
- 2019
- [j16]Panayiotis Petousis
Using Sequential Decision Making to Improve Lung Cancer Screening Performance. IEEE Access 7: 119403-119419 (2019) - [j15]Shiwen Shen, Simon X. Han
An interpretable deep hierarchical semantic convolutional neural network for lung nodule malignancy classification. Expert Syst. Appl. 128: 84-95 (2019) - [c22]Shiwen Shen, Simon X. Han, Denise R. Aberle, Alex A. T. Bui, William Hsu:
Explainable Hierarchical Semantic Convolutional Neural Network for Lung Cancer Diagnosis. CVPR Workshops 2019: 63-66 - 2018
- [j14]Jean I. Garcia-Gathright
Evaluating Casama: Contextualized semantic maps for summarization of lung cancer studies. Comput. Biol. Medicine 92: 55-63 (2018) - [i1]Shiwen Shen, Simon X. Han, Denise R. Aberle, Alex A. T. Bui, William Hsu:
An Interpretable Deep Hierarchical Semantic Convolutional Neural Network for Lung Nodule Malignancy Classification. CoRR abs/1806.00712 (2018) - 2016
- [j13]Panayiotis Petousis, Simon X. Han
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 72: 42-55 (2016) - [c21]Jean I. Garcia-Gathright
Toward patient-tailored summarization of lung cancer literature. BHI 2016: 449-452 - 2015
- [j12]Jean I. Garcia-Gathright
Representing and extracting lung cancer study metadata: Study objective and study design. Comput. Biol. Medicine 58: 63-72 (2015) - [j11]Mary McNamara, Corey W. Arnold, Karthik Sarma
Patient portal preferences: Perspectives on imaging information. J. Assoc. Inf. Sci. Technol. 66(8): 1606-1615 (2015) - 2014
- [c20]Mary McNamara, Karthik Sarma, Denise R. Aberle, Alex A. T. Bui, Corey W. Arnold:
Data Model for Personalized Patient Health Guidelines: An Exploratory Study. AMIA 2014 - 2013
- [j10]Alex A. T. Bui, William Hsu
Perspective: Imaging-based observational databases for clinical problem solving: the role of informatics. J. Am. Medical Informatics Assoc. 20(6): 1053-1058 (2013)
2000 – 2009
- 2007
- [j9]Matthew S. Brown, Michael F. McNitt-Gray
CAD in clinical trials: Current role and architectural requirements. Comput. Medical Imaging Graph. 31(4-5): 332-337 (2007) - [j8]Alex A. T. Bui, Craig A. Morioka, John D. N. Dionisio
openSourcePACS: An Extensible Infrastructure for Medical Image Management. IEEE Trans. Inf. Technol. Biomed. 11(1): 94-109 (2007) - [j7]Alex A. T. Bui, Denise R. Aberle
TimeLine: Visualizing Integrated Patient Records. IEEE Trans. Inf. Technol. Biomed. 11(4): 462-473 (2007) - [c19]Michael F. McNitt-Gray, Samuel G. Armato, Charles R. Meyer, Anthony P. Reeves, Geoffrey McLennan, Richard C. Pais, J. Freymann, Matthew S. Brown, Roger M. Engelmann, Peyton H. Bland, G. E. Laderach, C. Piker, J. Guo, D. P. Qing, David F. Yankelevitz, Denise R. Aberle
The Lung Image Database Consortium (LIDC) data collection process for nodule detection and annotation. Medical Imaging: Computer-Aided Diagnosis 2007: 65140K - [c18]Anthony P. Reeves, Alberto M. Biancardi
The Lung Image Database Consortium (LIDC): pulmonary nodule measurements, the variation, and the difference between different size metrics. Medical Imaging: Computer-Aided Diagnosis 2007: 65140J - [c17]Yang Wang, Michael F. McNitt-Gray, Matthew S. Brown, Jonathan G. Goldin
Differentiating solitary pulmonary nodules (SPNs) with 3D shape features. Medical Imaging: Computer-Aided Diagnosis 2007: 65143D - [c16]Yang Wang, Michael F. McNitt-Gray, Sumit K. Shah, Jonathan G. Goldin
Computer-aided characterization of solitary pulmonary nodules (SPNs) using structural 3D, texture, and functional dynamic contrast features. Medical Imaging: Computer-Aided Diagnosis 2007: 651413 - [c15]Samuel G. Armato, Rachael Y. Roberts, Geoffrey McLennan, Michael F. McNitt-Gray, David F. Yankelevitz, Ella A. Kazerooni, Edwin J. R. van Beek, Heber MacMahon, Denise R. Aberle
The Lung Image Database Consortium (LIDC): a quality assurance model for the collection of expert-defined truth in lung-nodule-based image analysis studies. Medical Imaging: Computer-Aided Diagnosis 2007: 651429 - 2006
- [c14]Robert A. Ochs, Erin Angel, Kirsten L. Boedeker, Iva Petkovska, Christoph Panknin
The influence of CT dose and reconstruction parameters on automated detection of small pulmonary nodules. Medical Imaging: Image Processing 2006: 61445W - 2005
- [j6]Matthew S. Brown, Sumit K. Shah, Richard C. Pais, Yeng-Zhong Lee, Michael F. McNitt-Gray, Jonathan G. Goldin
Database design and implementation for quantitative image analysis research. IEEE Trans. Inf. Technol. Biomed. 9(1): 99-108 (2005) - [c13]Sumit K. Shah, Michael F. McNitt-Gray, Iva Petkovska, Hyun Jun Kim, Kheshini R. DeZoysa, Jonathan G. Goldin
Solitary pulmonary nodule characterization on CT by use of contrast enhancement maps. Medical Imaging: Image Processing 2005 - 2004
- [c12]Sumit K. Shah, Michael F. McNitt-Gray, Sarah Rogers, Jonathan G. Goldin, Denise R. Aberle, Robert D. Suh, Kheshini R. DeZoysa, Matthew S. Brown:
Computer-aided lung nodule diagnosis using a simple classifier. CARS 2004: 952-955 - [c11]Alex A. T. Bui, Ricky K. Taira, Suzie El-Saden, Alicia Dordoni, Denise R. Aberle
Automated Medical Problem List Generation: Towards a Patient TimeLine. MedInfo 2004: 587-591 - 2001
- [j5]Alex A. T. Bui, Michael F. McNitt-Gray, Jonathan G. Goldin
Application of Information Technology: Problem-oriented Prefetching for an Integrated Clinical Imaging Workstation. J. Am. Medical Informatics Assoc. 8(3): 242-253 (2001) - [j4]Matthew S. Brown, Michael F. McNitt-Gray
Patient-Specific Models for Lung Nodule Detection and Survellience in CT Images. IEEE Trans. Medical Imaging 20(12): 1242-1250 (2001) - [c10]Matthew S. Brown, Michael F. McNitt-Gray, Jonathan G. Goldin
Patient-specific models for lung nodule detection and surveillance in CT images. Medical Imaging: Image Processing 2001 - [c9]Michael F. McNitt-Gray, Nathaniel Wyckoff, Jonathan G. Goldin
Computer-aided diagnosis of the solitary pulmonary nodule imaged on CT: 2D, 3D, and contrast enhancement features. Medical Imaging: Image Processing 2001 - 2000
- [c8]Nathaniel Wyckoff, Michael F. McNitt-Gray, Jonathan G. Goldin, Robert D. Suh, James W. Sayre, Denise R. Aberle:
Classification of solitary pulmonary nodules (SPNs) imaged on high-resolution CT using contrast enhancement and three-dimensional quantitative image features. Medical Imaging: Image Processing 2000
1990 – 1999
- 1999
- [c7]Alex A. T. Bui, Denise R. Aberle, Jonathan G. Goldin, Michael F. McNitt-Gray, Alfonso F. Cardenas, Eric Kleerup, Osman Ratib:
TimeLine: A Multimedia, Problem-Centric Visualization of Patient Records. AMIA 1999 - 1998
- [c6]Alex A. T. Bui, Denise R. Aberle, Michael F. McNitt-Gray, Alfonso F. Cardenas, Jonathan G. Goldin:
The evolution of an integrated timeline for oncology patient healthcare. AMIA 1998 - [c5]Matthew S. Brown, Michael F. McNitt-Gray, Jonathan G. Goldin
Extensible knowledge-based architecture for segmenting CT data. Medical Imaging: Image Processing 1998 - [c4]Michael F. McNitt-Gray, Eric M. Hart, Nathaniel Wyckoff, James W. Sayre, Jonathan G. Goldin
Application of image analysis techniques to distinguish benign from malignant solitary pulmonary nodules imaged on CT. Medical Imaging: Image Processing 1998 - 1997
- [j3]David B. Johnson, Ricky K. Taira, Alfonso F. Cardenas, Denise R. Aberle
Extracting Information from Free Text Radiology Reports. Int. J. Digit. Libr. 1(3): 297-308 (1997) - [j2]Matthew S. Brown, Michael F. McNitt-Gray
Methods for Segmenting Chest CT Image Data Using an Anatomical Model: Preliminary Results. IEEE Trans. Medical Imaging 16(6): 828-839 (1997) - [c3]Matthew S. Brown, Michael F. McNitt-Gray, Jonathan G. Goldin, Denise R. Aberle:
An extensible knowledge-based architecture for segmenting computed tomography images. ICIP (3) 1997: 516-519 - 1996
- [j1]Ricky K. Taira, David B. Johnson, Vikas Bhushan, Monica Rivera, Clement Wong, Lujia Huang, Denise R. Aberle, Melanie Greaves, Jonathan G. Goldin
A concept-based retrieval system for thoracic radiology. J. Digit. Imaging 9(1): 25-36 (1996) - [c2]Michael F. McNitt-Gray, Eric M. Hart, Jonathan G. Goldin
Pattern classification approach to characterizing solitary pulmonary nodules imaged on high-resolution computed tomography. Medical Imaging: Image Processing 1996 - 1993
- [c1]Samuel J. Dwyer III, Brent K. Stewart, Denise R. Aberle, Maria I. Boechat
Electronic archiving for radiology image management systems. MSS 1993: 9-18
Coauthor Index
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