Aria Pezeshk

According to our database, Aria Pezeshk authored at least 19 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Mapping DNN Embedding Manifolds for Network Generalization Prediction.

Molly O'Brien, Brett Wolfinger, Julia V. Bukowski, Mathias Unberath, Aria Pezeshk, Greg Hager

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2022

Mapping DNN Embedding Manifolds for Network Generalization Prediction.

Molly O'Brien, Julia V. Bukowski, Mathias Unberath, Aria Pezeshk, Greg Hager

CoRR, 2022

Evaluating neural network robustness for melanoma classification using mutual information.

Molly O'Brien, Julia V. Bukowski, Greg Hager, Aria Pezeshk, Mathias Unberath

Proceedings of the Medical Imaging 2022: Image Processing, 2022

2021

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

Alexej Gossmann, Aria Pezeshk, Yu-Ping Wang, Berkman Sahiner

SIAM J. Math. Data Sci., 2021

2020

Lung Nodule Malignancy Classification Based ON NLSTx Data.

Benjamin Veasey, Mohammad Mehdi Farhangi, Hichem Frigui, Justin Broadhead, Michael Dahle, Aria Pezeshk, Albert Seow, Amir A. Amini

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

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

Aria Pezeshk, Sardar Hamidian, Nicholas Petrick, Berkman Sahiner

IEEE J. Biomed. Health Informatics, 2019

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

Kenny H. Cha, Nicholas Petrick, Aria Pezeshk, Christian G. Graff, Diksha Sharma, Andreu Badal, Aldo Badano, Berkman Sahiner

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

2018

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

Jiheng Wang, Berkman Sahiner, Nicholas Petrick, Aria Pezeshk

Proceedings of the Medical Imaging 2018: Image Perception, 2018

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

Alexej Gossmann, Aria Pezeshk, Berkman Sahiner

Proceedings of the Medical Imaging 2018: Image Perception, 2018

Towards the use of computationally inserted lesions for mammographic CAD assessment.

Zahra Ghanian, Aria Pezeshk, Nicholas Petrick, Berkman Sahiner

Proceedings of the Medical Imaging 2018: Image Perception, 2018

2017

Seamless Lesion Insertion for Data Augmentation in CAD Training.

Aria Pezeshk, Nicholas Petrick, Weijie Chen, Berkman Sahiner

IEEE Trans. Medical Imaging, 2017

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

Sardar Hamidian, Berkman Sahiner, Nicholas Petrick, Aria Pezeshk

Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

2016

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

Berkman Sahiner, Weijie Chen, Aria Pezeshk, Nicholas Petrick

Proceedings of the Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, San Diego, California, United States, 27 February, 2016

Seamless lesion insertion in digital mammography: methodology and reader study.

Aria Pezeshk, Nicholas Petrick, Berkman Sahiner

Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

2015

Seamless Insertion of Pulmonary Nodules in Chest CT Images.

Aria Pezeshk, Berkman Sahiner, Rongping Zeng, Adam Wunderlich, Weijie Chen, Nicholas Petrick

IEEE Trans. Biomed. Eng., 2015

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

Aria Pezeshk, Berkman Sahiner, Weijie Chen, Nicholas Petrick

Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

2014

Seamless insertion of real pulmonary nodules in chest CT exams.

Aria Pezeshk, Berkman Sahiner, Rongping Zeng, Adam Wunderlich, Weijie Chen, Nicholas Petrick

Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014

2011

Automatic Feature Extraction and Text Recognition From Scanned Topographic Maps.

Aria Pezeshk, Richard L. Tutwiler

IEEE Trans. Geosci. Remote. Sens., 2011

2010

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

Aria Pezeshk, Richard L. Tutwiler

Proceedings of the IEEE International Conference on Acoustics, 2010