Aria Pezeshk

发表

Character Degradation Model and HMM Word Recognition System for Text Extracted from Maps

Aria Pezeshk, Richard L. Tutwiler, 2011 .

Seamless insertion of real pulmonary nodules in chest CT exams

Rongping Zeng, Berkman Sahiner, Aria Pezeshk, 2014, Medical Imaging.

Seamless Insertion of Pulmonary Nodules in Chest CT Images

Rongping Zeng, Berkman Sahiner, Aria Pezeshk, 2015, IEEE Transactions on Biomedical Engineering.

Extended character defect model for recognition of text from maps

Aria Pezeshk, Richard L. Tutwiler, 2010, 2010 IEEE Southwest Symposium on Image Analysis & Interpretation (SSIAI).

Comparison of two classifiers when the data sets are imbalanced: the power of the area under the precision-recall curve as the figure of merit versus the area under the ROC curve

Berkman Sahiner, Nicholas Petrick, Aria Pezeshk, 2017, Medical Imaging.

Towards the use of computationally inserted lesions for mammographic CAD assessment

Berkman Sahiner, Aria Pezeshk, Nicholas Petrick, 2018, Medical Imaging.

Reducing overfitting of a deep learning breast mass detection algorithm in mammography using synthetic images

Berkman Sahiner, Aria Pezeshk, Nicholas Petrick, 2019, Medical Imaging.

FEATURE EXTRACTION AND TEXT RECOGNITION FROM SCANNED COLOR TOPOGRAPHIC MAPS

Aria Pezeshk, 2011 .

Seamless Lesion Insertion for Data Augmentation in CAD Training

Berkman Sahiner, Aria Pezeshk, Nicholas Petrick, 2017, IEEE Transactions on Medical Imaging.

3D convolutional neural network for automatic detection of lung nodules in chest CT

Berkman Sahiner, Aria Pezeshk, Nicholas Petrick, 2017, Medical Imaging.

Automatic Feature Extraction and Text Recognition From Scanned Topographic Maps

Aria Pezeshk, Richard L. Tutwiler, 2011, IEEE Transactions on Geoscience and Remote Sensing.

Improving CAD performance by seamless insertion of pulmonary nodules in chest CT exams

Berkman Sahiner, Aria Pezeshk, Nicholas Petrick, 2015, Medical Imaging.

Comparison of two stand-alone CADe systems at multiple operating points

Berkman Sahiner, Nicholas Petrick, Aria Pezeshk, 2015, Medical Imaging.

A database for assessment of effect of lossy compression on digital mammograms

Berkman Sahiner, Aria Pezeshk, Nicholas Petrick, 2018, Medical Imaging.

Semi-parametric estimation of the area under the precision-recall curve

Berkman Sahiner, Aria Pezeshk, Nicholas Petrick, 2016, SPIE Medical Imaging.

3-D Convolutional Neural Networks for Automatic Detection of Pulmonary Nodules in Chest CT

Berkman Sahiner, Nicholas Petrick, Aria Pezeshk, 2019, IEEE Journal of Biomedical and Health Informatics.

Test data reuse for evaluation of adaptive machine learning algorithms: over-fitting to a fixed 'test' dataset and a potential solution

Berkman Sahiner, Aria Pezeshk, Alexej Gossmann, 2018, Medical Imaging.

CT image quality evaluation for detection of signals with unknown location, size, contrast and shape using unsupervised methods

Berkman Sahiner, Aria Pezeshk, Lucretiu M. Popescu, 2015, Medical Imaging.

Calibration of medical diagnostic classifier scores to the probability of disease

Berkman Sahiner, Aria Pezeshk, Weijie Chen, 2016, Statistical methods in medical research.

Investigation of methods for calibration of classifier scores to probability of disease

Frank W. Samuelson, Berkman Sahiner, Nicholas Petrick, 2015, Medical Imaging.

Improved Multi Angled Parallelism for separation of text from intersecting linear features in scanned topographic maps

Aria Pezeshk, Richard L. Tutwiler, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Seamless lesion insertion in digital mammography: methodology and reader study

Berkman Sahiner, Aria Pezeshk, Nicholas Petrick, 2016, SPIE Medical Imaging.

Test Data Reuse for the Evaluation of Continuously Evolving Classification Algorithms Using the Area under the Receiver Operating Characteristic Curve

Berkman Sahiner, Aria Pezeshk, Alexej Gossmann, 2021, SIAM J. Math. Data Sci..

Evaluation of Simulated Lesions as Surrogates to Clinical Lesions for Thoracic CT Volumetry: The Results of an International Challenge.

Berkman Sahiner, Ehsan Samei, Aria Pezeshk, 2019, Academic radiology.

Seamless lesion insertion for data augmentation in CAD training.

Berkman Sahiner, Aria Pezeshk, Nicholas Petrick, 2016, IEEE transactions on medical imaging.

Techniques for virtual lung nodule insertion: volumetric and morphometric comparison of projection-based and image-based methods for quantitative CT.

Berkman Sahiner, Ehsan Samei, Aria Pezeshk, 2017, Physics in medicine and biology.

The Use of Lossy Compression of Digital Mammograms for Primary Interpretation and Image Retention.

Aria Pezeshk, David L Lerner, 2015, AJR. American journal of roentgenology.