Dr. Rashindra Manniesing Profile

Dr. Rashindra Manniesing

Co-founder at EMPATI.HEALTH

SPIE Involvement:

Author

Proceedings Article | 2 March 2018 Paper

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

Mohsen Ghafoorian, Jonas Teuwen, Rashindra Manniesing, Frank-Erik Leeuw, Bram van Ginneken, Nico Karssemeijer, Bram Platel

Proceedings Volume 10574, 105742U (2018) https://doi.org/10.1117/12.2293569

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

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Proceedings Article | 27 February 2018 Paper

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

K. Standvoss, T. Crijns, L. Goerke, D. Janssen, S. Kern, T. van Niedek, J. van Vugt, N. Alfonso Burgos, E. Gerritse, J. Mol, D. van de Vooren, M. Ghafoorian, T. L. A. van den Heuvel, R. Manniesing

Proceedings Volume 10575, 105751D (2018) https://doi.org/10.1117/12.2294016

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

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Proceedings Article | 27 February 2018 Presentation + Paper

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

Ajay Patel, Rashindra Manniesing

Proceedings Volume 10575, 105751B (2018) https://doi.org/10.1117/12.2292975

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

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Proceedings Article | 27 February 2018 Presentation + Paper

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

Midas Meijs, Rashindra Manniesing

Proceedings Volume 10575, 105751Q (2018) https://doi.org/10.1117/12.2292974

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

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Proceedings Article | 3 March 2017 Presentation + Paper

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

Ajay Patel, Sil van de Leemput, Mathias Prokop, Bram van Ginneken, Rashindra Manniesing

Proceedings Volume 10134, 1013420 (2017) https://doi.org/10.1117/12.2254022

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

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Proceedings Article | 13 March 2013 Paper

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

H. O. A. Laue, M. T . H. Oei, L. Chen, I. Kompan, H. Hahn, M. Prokop, R. Manniesing

Proceedings Volume 8669, 86691W (2013) https://doi.org/10.1117/12.2008116

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

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Proceedings Article | 13 March 2013 Paper

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

André van der Avoird, Ning Lin, Bram van Ginneken, Rashindra Manniesing

Proceedings Volume 8669, 86691V (2013) https://doi.org/10.1117/12.2007231

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

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Proceedings Article | 13 March 2013 Paper

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

J. J. Mordang, M. T. Oei, R. van den Boom, E. Smit, M. Prokop, B. van Ginneken, R. Manniesing

Proceedings Volume 8669, 866919 (2013) https://doi.org/10.1117/12.2006824

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

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Proceedings Article | 24 February 2012 Paper

Brain tissue segmentation in 4D CT using voxel classification

R. van den Boom, M. T. H. Oei, S. Lafebre, L. Oostveen, F. J. A. Meijer, S. C. Steens, M. Prokop, B. van Ginneken, R. Manniesing

Proceedings Volume 8314, 83144B (2012) https://doi.org/10.1117/12.911189

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

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Proceedings Article | 24 February 2012 Paper

Intracranial aneurysm growth quantification in CTA

Azadeh Firouzian, Rashindra Manniesing, Coert Metz, Stefan Klein, Birgitta Velthuis, Gabriel J. Rinkel, Aad van der Lugt, Wiro Niessen

Proceedings Volume 8314, 831448 (2012) https://doi.org/10.1117/12.910713

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

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Proceedings Article | 15 March 2011 Paper

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

D. Vukadinovic, T. van Walsum, R. Manniesing, S. Rozie, A. van der Lugt, W. Niessen

Proceedings Volume 7962, 79623P (2011) https://doi.org/10.1117/12.878114

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

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Proceedings Article | 13 March 2010 Paper

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

Azadeh Firouzian, R. Manniesing, Z. Flach, R. Risselada, F. van Kooten, M. C. J. M. Sturkenboom, A. van der Lugt, W. Niessen

Proceedings Volume 7623, 76233M (2010) https://doi.org/10.1117/12.843674

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

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Proceedings Article | 11 March 2008 Paper

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

D. Vukadinovic, T. van Walsum, R. Manniesing, A. van der Lugt, T. de Weert, W. Niessen

Proceedings Volume 6914, 691418 (2008) https://doi.org/10.1117/12.770232

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

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Proceedings Article | 3 March 2007 Paper

Automatic segmentation of the internal carotid arteries through the skull base

Rashindra Manniesing, Wiro Niessen

Proceedings Volume 6512, 65120I (2007) https://doi.org/10.1117/12.705201

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

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Proceedings Article | 12 May 2004 Paper

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

Rashindra Manniesing, Birgitta Velthuis, Maarten van Leeuwen, Wiro Niessen

Proceedings Volume 5370, (2004) https://doi.org/10.1117/12.533045

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

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Showing 5 of 15 publications

Conference Committee Involvement (4)

Image Processing

15 February 2021 | Online Only, California, United States

Image Processing

17 February 2020 | Houston, Texas, United States

Image Processing

19 February 2019 | San Diego, California, United States

Image Processing

11 February 2018 | Houston, Texas, United States

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