Dr. Rashindra Manniesing Profile

Dr. Rashindra Manniesing

Researcher at Radboud Univ Medical Ctr

SPIE Involvement:

Conference Program Committee | Author

Publications (15)

PROCEEDINGS ARTICLE | March 2, 2018

Student beats the teacher: deep neural networks for lateral ventricles segmentation in brain MR

Proc. SPIE. 10574, Medical Imaging 2018: Image Processing

KEYWORDS: Image processing algorithms and systems, Magnetic resonance imaging, Image segmentation, Medical imaging, Neural networks, Neuroimaging, Network architectures, Dementia, Brain diseases, Brain

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PROCEEDINGS ARTICLE | February 27, 2018

Cerebral microbleed detection in traumatic brain injury patients using 3D convolutional neural networks

Proc. SPIE. 10575, Medical Imaging 2018: Computer-Aided Diagnosis

KEYWORDS: Computer aided diagnosis and therapy, Convolutional neural networks, Blood vessels, Convolution, Traumatic brain injury, Neuroimaging, Network architectures, Solid modeling, 3D image processing, Brain

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PROCEEDINGS ARTICLE | February 27, 2018

A convolutional neural network for intracranial hemorrhage detection in non-contrast CT

Proc. SPIE. 10575, Medical Imaging 2018: Computer-Aided Diagnosis

KEYWORDS: Convolutional neural networks, Diagnostics, Image analysis, Medical imaging, Computed tomography, Convolution, Brain imaging

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PROCEEDINGS ARTICLE | February 27, 2018

Artery and vein segmentation of the cerebral vasculature in 4D CT using a 3D fully convolutional neural network

Proc. SPIE. 10575, Medical Imaging 2018: Computer-Aided Diagnosis

KEYWORDS: Veins, Convolutional neural networks, Visualization, Image segmentation, Pathology, Arteries, Computed tomography, Convolution, 3D image processing, 4D CT imaging

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PROCEEDINGS ARTICLE | March 3, 2017

Automatic cerebrospinal fluid segmentation in non-contrast CT images using a 3D convolutional network

Proc. SPIE. 10134, Medical Imaging 2017: Computer-Aided Diagnosis

KEYWORDS: Neck, Computer aided diagnosis and therapy, Convolutional neural networks, Tissues, Image segmentation, Pathology, Computing systems, Head, Neural networks, Computed tomography, Convolution, 3D image processing

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PROCEEDINGS ARTICLE | March 13, 2013

Automated artery and vein detection in 4D-CT data with an unsupervised classification algorithm of the time intensity curves

Proc. SPIE. 8669, Medical Imaging 2013: Image Processing

KEYWORDS: Veins, Detection and tracking algorithms, Tissues, Blood, Image segmentation, Arteries, Bone, Computed tomography, Toxic industrial chemicals, Brain

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PROCEEDINGS ARTICLE | March 13, 2013

A hardware implementation of a levelset algorithm for carotid lumen segmentation in CTA

Proc. SPIE. 8669, Medical Imaging 2013: Image Processing

KEYWORDS: Image processing algorithms and systems, Image segmentation, Field programmable gate arrays, Optical inspection, Medical imaging, Data processing, Shape analysis, Computed tomography, C++, 3D image processing

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PROCEEDINGS ARTICLE | March 13, 2013

A pattern recognition framework for vessel segmentation in 4D CT of the brain

Proc. SPIE. 8669, Medical Imaging 2013: Image Processing

KEYWORDS: Veins, Tissues, Blood vessels, Image segmentation, Pattern recognition, Arteries, Bone, Computed tomography, 4D CT imaging, Brain

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PROCEEDINGS ARTICLE | February 24, 2012

Brain tissue segmentation in 4D CT using voxel classification

Proc. SPIE. 8314, Medical Imaging 2012: Image Processing

KEYWORDS: 3D acquisition, 3D image reconstruction, Tissues, Image segmentation, Bone, Computed tomography, Toxic industrial chemicals, 3D image processing, 4D CT imaging, Brain

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PROCEEDINGS ARTICLE | February 24, 2012

Intracranial aneurysm growth quantification in CTA

Proc. SPIE. 8314, Medical Imaging 2012: Image Processing

KEYWORDS: Neck, Optical spheres, Image segmentation, Arteries, Image registration, 3D scanning, Rigid registration, Radiology, Spherical lenses, 3D image processing

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PROCEEDINGS ARTICLE | March 15, 2011

Region based level set segmentation of the outer wall of the carotid bifurcation in CTA

Proc. SPIE. 7962, Medical Imaging 2011: Image Processing

KEYWORDS: Tissues, Signal attenuation, Magnetic resonance imaging, Image segmentation, Calcium, Arteries, 3D modeling, Image classification, Health informatics, 3D image processing

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PROCEEDINGS ARTICLE | March 13, 2010

Intracranial aneurysm segmentation in 3D CT angiography: method and quantitative validation

Proc. SPIE. 7623, Medical Imaging 2010: Image Processing

KEYWORDS: Statistical analysis, Image segmentation, Diagnostics, Arteries, Image analysis, Bone, Angiography, Computed tomography, Binary data, Brain

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PROCEEDINGS ARTICLE | March 11, 2008

AdaBoost classification for model-based segmentation of the outer wall of the common carotid artery in CTA

Proc. SPIE. 6914, Medical Imaging 2008: Image Processing

KEYWORDS: Data modeling, Magnetic resonance imaging, Image segmentation, Image processing, Error analysis, Calcium, Arteries, 3D modeling, Machine learning, Image classification

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PROCEEDINGS ARTICLE | March 3, 2007

Automatic segmentation of the internal carotid arteries through the skull base

Proc. SPIE. 6512, Medical Imaging 2007: Image Processing

KEYWORDS: Independent component analysis, Image segmentation, Hough transforms, Arteries, Bone, Profiling, Angiography, Computed tomography, Skull, Radiology

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PROCEEDINGS ARTICLE | May 12, 2004

Skeletonization for reinitialization in level-set-based vascular tree segmentation

Proc. SPIE. 5370, Medical Imaging 2004: Image Processing

KEYWORDS: Visualization, Tissues, Image segmentation, Image processing, Arteries, Image registration, Bone, Computed tomography, 3D image processing, Cerebral aneurysms

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Showing 5 of 15 publications

Conference Committee Involvement (2)

Image Processing

16 February 2019 | San Diego, California, United States

Image Processing

11 February 2018 | Houston, Texas, United States

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