Ms. Anusha Ramesh Chandra Profile

Anusha Ramesh Chandra

at Canon Stroke and Vascular Research Ctr

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Author

Publications (4)

Proceedings Article | 15 March 2019 Paper

High-resolution MRI of the mouse cerebral vasculature to study hemodynamic-induced vascular remodeling

Hamidreza Rajabzadeh-Oghaz, Anusha Ramesh Chandra, Liza Gutierrez, Ferdinand Schweser, Ciprian Ionita, Adnan Siddiqui, Vincent Tutino

Proceedings Volume 10953, 109531F (2019) https://doi.org/10.1117/12.2511772

KEYWORDS: Arteries, Magnetic resonance imaging, Scanning electron microscopy, Image segmentation, Independent component analysis, Image resolution, Hemodynamics, Aneurysms, Simulation of CCA and DLA aggregates, 3D image processing

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Proceedings Article | 13 March 2019 Paper

Use of a convolutional neural network for aneurysm identification in digital subtraction angiography

Alexander Podgoršak, Mohammad Mahdi Bhurwani, Ryan Rava, Anusha Chandra, Ciprian Ionita

Proceedings Volume 10950, 109504E (2019) https://doi.org/10.1117/12.2512810

KEYWORDS: Aneurysms, Image segmentation, Angiography, Network architectures, Machine learning, Binary data, Convolutional neural networks, Digital filtering, Brain, Neural networks

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Proceedings Article | 13 March 2019 Paper

Feasibility study of deep neural networks to classify intracranial aneurysms using angiographic parametric imaging

Mohammad Mahdi Shiraz Bhurwani, Alexander Podgorsak, Anusha Ramesh Chandra, Ryan Rava, Kenneth Snyder, Elad Levy, Jason Davies, Adnan Siddiqui, Ciprian Ionita

Proceedings Volume 10950, 109502A (2019) https://doi.org/10.1117/12.2512643

KEYWORDS: Aneurysms, Data modeling, Machine learning, Neural networks, Angiography, Blood circulation, Brain mapping

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Proceedings Article | 1 March 2019 Presentation + Paper

Initial study of the radiomics of intracranial aneurysms using Angiographic Parametric Imaging (API) to evaluate contrast flow changes

Anusha Ramesh Chandra, Alexander Podgorsak, Mohammad Waqas, Mohammad Mahdi Shiraz Bhurwani, Hussain Shallwani, Jordan Marshall, Adnan Siddiqui, Jason Davies, Stephen Rudin, Ciprian Ionita

Proceedings Volume 10948, 1094805 (2019) https://doi.org/10.1117/12.2512457

KEYWORDS: Aneurysms, Angiography, Machine learning, Targeting Task Performance metric, Arteries, Blood circulation, Neural networks, Receivers, Neck, Statistical analysis

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