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

Proc. SPIE. 10953, Medical Imaging 2019: Biomedical Applications in Molecular, Structural, and Functional Imaging

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

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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

Proc. SPIE. 10950, Medical Imaging 2019: Computer-Aided Diagnosis

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

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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

Proc. SPIE. 10950, Medical Imaging 2019: Computer-Aided Diagnosis

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

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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

Proc. SPIE. 10948, Medical Imaging 2019: Physics of Medical Imaging

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

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