Dr. Aalpen A. Patel Profile

Dr. Aalpen A. Patel

at Geisinger Health

SPIE Involvement:

Author

Publications (5)

Proceedings Article | 4 April 2022 Poster + Paper

Perceptually improved T1-T2 MRI translations using conditional generative adversarial networks

Anurag Vaidya, Joshua Stough, Aalpen Patel

Proceedings Volume 12032, 120321V (2022) https://doi.org/10.1117/12.2608428

KEYWORDS: Data modeling, Magnetic resonance imaging, Brain, Convolution, Neuroimaging, Image quality, Tumors, Visualization, Performance modeling

Read Abstract +

Proceedings Article | 27 February 2018 Presentation + Paper

Deep 3D convolution neural network for CT brain hemorrhage classification

Kamal Jnawali, Mohammad Arbabshirani, Navalgund Rao, Aalpen Patel

Proceedings Volume 10575, 105751C (2018) https://doi.org/10.1117/12.2293725

KEYWORDS: Computed tomography, Brain, Convolution, Network architectures, Neural networks, 3D image processing, Neuroimaging, Medical imaging, Head, Image classification

Read Abstract +

Proceedings Article | 3 March 2017 Presentation + Paper

Automatic estimation of heart boundaries and cardiothoracic ratio from chest x-ray images

Ahmed Dallal, Chirag Agarwal, Mohammad Arbabshirani, Aalpen Patel, Gregory Moore

Proceedings Volume 10134, 101340K (2017) https://doi.org/10.1117/12.2254136

KEYWORDS: X-rays, Chest, Lawrencium, Error analysis, Heart, Lung, Chest imaging, Image segmentation, Data modeling, Image analysis

Read Abstract +

Proceedings Article | 24 February 2017 Presentation + Paper

Accurate segmentation of lung fields on chest radiographs using deep convolutional networks

Mohammad Arbabshirani, Ahmed Dallal, Chirag Agarwal, Aalpan Patel, Gregory Moore

Proceedings Volume 10133, 1013305 (2017) https://doi.org/10.1117/12.2254526

KEYWORDS: Deep learning, Convolutional neural networks, Image segmentation, Lung, Chest imaging, Neural networks, Computer-aided diagnosis, Lung cancer, Image classification, Image processing algorithms and systems, Algorithm development, Magnetic resonance imaging

Read Abstract +

Proceedings Article | 24 February 2017 Paper

Unsupervised quantification of abdominal fat from CT images using Greedy Snakes

Chirag Agarwal, Ahmed Dallal, Mohammad Arbabshirani, Aalpen Patel, Gregory Moore

Proceedings Volume 10133, 101332T (2017) https://doi.org/10.1117/12.2254139

KEYWORDS: Tissues, Image segmentation, Computed tomography, Pathology, Magnetic resonance imaging, Image processing, Brain-machine interfaces, X-ray computed tomography, Dual energy x-ray absorptiometry, Image processing algorithms and systems

Read Abstract +

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Keywords/Phrases

Search In:

Publication Years