Aria Pezeshk, Ph.D.
Affiliations: | 2011 | Pennsylvania State University, State College, PA, United States |
Area:
Electronics and Electrical EngineeringGoogle:
"Aria Pezeshk"Parents
Sign in to add mentor| W. Kenneth Jenkins | grad student | 2011 | Penn State | |
| (Feature extraction and text recognition from scanned color topographic maps.) | ||||
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Publications
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| Maynord M, Farhangi MM, Fermüller C, et al. (2023) Semi-supervised training using cooperative labeling of weakly annotated data for nodule detection in chest CT. Medical Physics |
| Farhangi MM, Sahiner B, Petrick N, et al. (2021) Automatic lung nodule detection in thoracic CT scans using dilated slice-wise convolutions. Medical Physics. 48: 3741-3751 |
| Ghanian Z, Pezeshk A, Petrick N, et al. (2018) Computational insertion of microcalcification clusters on mammograms: reader differentiation from native clusters and computer-aided detection comparison. Journal of Medical Imaging (Bellingham, Wash.). 5: 044502 |
| Pezeshk A, Hamidian S, Petrick N, et al. (2018) 3D convolutional neural networks for automatic detection of pulmonary nodules in chest CT. Ieee Journal of Biomedical and Health Informatics |
| Robins M, Kalpathy-Cramer J, Obuchowski NA, et al. (2018) Evaluation of Simulated Lesions as Surrogates to Clinical Lesions for Thoracic CT Volumetry: The Results of an International Challenge. Academic Radiology |
| Hamidian S, Sahiner B, Petrick N, et al. (2017) 3D Convolutional Neural Network for Automatic Detection of Lung Nodules in Chest CT. Proceedings of Spie--the International Society For Optical Engineering. 10134 |
| Robins M, Solomon JB, Sahbaee P, et al. (2017) Techniques for virtual lung nodule insertion: volumetric and morphometric comparison of projection-based and image-based methods for quantitative CT. Physics in Medicine and Biology |
| Pezeshk A, Petrick N, Chen W, et al. (2016) Seamless lesion insertion for data augmentation in CAD training. Ieee Transactions On Medical Imaging |
| Pezeshk A, Petrick N, Chen W, et al. (2016) Seamless lesion insertion for data augmentation in CAD training. Ieee Transactions On Medical Imaging |
| Lerner DL, Pezeshk A. (2015) The Use of Lossy Compression of Digital Mammograms for Primary Interpretation and Image Retention. Ajr. American Journal of Roentgenology. 205: W640-1 |