Dr. Katja Pinker-Domenig Profile

Dr. Katja Pinker-Domenig

at Medizinische Univ Wien

SPIE Involvement:

Author

Publications (16)

Proceedings Article | 5 March 2021 Presentation

Presentation

Characterization of the transmission of structured light in scattering media

Alessia Suprano, Ilaria Gianani, Taira Giordani, Nicolò Spagnolo, Katja Pinker, Uwe Klemm, Dimitris Gorpas, Vasilis Ntziachristos, Netanel Biton, Judy Kupferman, Shlomi Arnon, Fabio Sciarrino

Proceedings Volume 11646, 116460N (2021) https://doi.org/10.1117/12.2583117

KEYWORDS: Structured light, Scattering media, Light scattering, Spatial resolution, Tissue optics, Scattering, Polarization, Latex, Laser scattering, Beam propagation method

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SPIE Journal Paper | 22 May 2020 Open Access

Open Access

Transmission of vector vortex beams in dispersive media

Ilaria Gianani, Alessia Suprano, Taira Giordani, Nicolò Spagnolo, Fabio Sciarrino, Dimitris Gorpas, Vasilis Ntziachristos, Katja Pinker, Netanel Biton, Judy Kupferman, Shlomi Arnon

AP, Vol. 2, Issue 03, 036003, (May 2020) https://doi.org/10.1117/12.10.1117/1.AP.2.3.036003

KEYWORDS: Polarization, Scattering, Light scattering, Laser scattering, Structured light, Scattering media, Superposition, Latex, Optical vortices, Photonics

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Proceedings Article | 21 May 2020 Paper

Paper

Large-scale graph networks and AI applied to medical image data processing

Anke Meyer-Bäse, Simon Foo, Amirhessam Tahmassebi, Uwe Meyer-Bäse, Ali Moradi Amani, Theresa Götz, Doris Leithner, Andreas Stadlbauer, Katja Pinker

Proceedings Volume 11396, 1139605 (2020) https://doi.org/10.1117/12.2557813

KEYWORDS: Brain, Artificial intelligence, Medical imaging, Radiology, Machine learning, Tumors, Data processing, Cancer, Feature extraction, Data modeling

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Proceedings Article | 13 May 2019 Presentation + Paper

Presentation + Paper

Big data analytics in medical imaging using deep learning

Amirhessam Tahmassebi, Anahid Ehtemami, Behshad Mohebali, Amir Gandomi, Katja Pinker, Anke Meyer-Baese

Proceedings Volume 10989, 109890E (2019) https://doi.org/10.1117/12.2516014

KEYWORDS: Medical imaging, Magnetic resonance imaging, Analytics, Image compression, Image segmentation, Data storage, Machine learning, Evolutionary algorithms, Data modeling, Functional magnetic resonance imaging

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Proceedings Article | 2 May 2019 Presentation + Paper

Presentation + Paper

Determining driver nodes in dynamic signed biological networks

Amirhessam Tahmassebi, Behshad Mohebali, Lisa Meyer-Baese, Philip Solimine, Katja Pinker, Anke Meyer-Baese

Proceedings Volume 11020, 110200A (2019) https://doi.org/10.1117/12.2519550

KEYWORDS: Brain, Dementia, Neurons, Systems modeling, Alzheimer's disease, Analytical research, Complex systems, Neural networks, Biomedical engineering, Biomedical optics

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Proceedings Article | 2 May 2019 Presentation + Paper

Presentation + Paper

Model reduction of structural biological networks by cycle removal

Amirhessam Tahmassebi, Behshad Mohebali, Philip Solimine, Uwe Meyer-Baese, Katja Pinker, Anke Meyer-Baese

Proceedings Volume 11020, 110200K (2019) https://doi.org/10.1117/12.2519552

KEYWORDS: Brain, Control systems, Alzheimer's disease, Dementia, Systems modeling, Dynamical systems, Neurons, Tumor growth modeling, Complex systems, Neural networks

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Proceedings Article | 14 May 2018 Paper

Paper

Machine learning for accurate differentiation of benign and malignant breast tumors presenting as non-mass enhancement

Ignacio Alvarez Illan, Amirhessam Tahmassebi, Javier Ramirez, Juan Gorriz, Simon Foo, Katja Pinker-Domenig, Anke Meyer-Baese

Proceedings Volume 10669, 106690W (2018) https://doi.org/10.1117/12.2304588

KEYWORDS: Machine learning, Tumors, Data analysis, Breast, Spatial resolution, Magnetic resonance imaging, Breast cancer, Computer aided diagnosis and therapy

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Proceedings Article | 14 May 2018 Presentation + Paper

Presentation + Paper

Multi-level analysis of spatio-temporal features in non-mass enhancing breast tumors

Amirhessam Tahmassebi, Dat Ngo, Antonio Garcia, Encarnacin Castillo, Diego Morales, Katja Pinker-Domenig, Mark Lobbes, Anke Meyer-Bäse

Proceedings Volume 10662, 106620H (2018) https://doi.org/10.1117/12.2304928

KEYWORDS: Magnetic resonance imaging, Breast, Tumors, Drug discovery, Feature extraction, Image segmentation, Computer aided diagnosis and therapy, Imaging systems, Independent component analysis, Breast cancer

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Proceedings Article | 12 March 2018 Paper

Paper

Determining disease evolution driver nodes in dementia networks

Amirhessam Tahmassebi, Ali Moradi Amani, Katja Pinker-Domenig, Anke Meyer-Baese

Proceedings Volume 10578, 1057829 (2018) https://doi.org/10.1117/12.2293865

KEYWORDS: Dementia, Brain, Control systems, Magnetic resonance imaging, Alzheimer's disease, Analytical research, Neuroimaging, Network security, Neural networks, Mathematical modeling

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Imaging connectomics emerged as an important field in modern neuroimaging to represent the interaction of structural and functional brain areas. Static graph networks are the mathematical structure to capture these interactions modeled by Pearson correlations between the representative area signals. Dynamical functional resting state networks seen in most fMRI experiments can not be represented by the classic correlation graph network. The changes in brain connectivity observed in many neuro-degenerative diseases in longitudinal data series suggest that more sophisticated graph networks to capture the dynamical properties of the brain networks are required. Furthermore, certain brain areas seem to act as ”disease epicenters” being responsible for the spread of neuro-degenerative diseases. To mathematically describe these aspects, we propose a novel framework based on pinning controllability applied to dynamic graphs and seek to determine the changes in the ”driver nodes” during the course of the disease. In contrast to other current research in pinning controllability, we aim to identify the best driver nodes describing disease evolution with respect to connectivity changes and location of the best driver nodes in functional ¹⁸F-Fluorodeoxyglucose Positron Emission Tomography (¹⁸FDG-PET) and structural Magnetic Resonance Imaging (MRI) connectivity graphs in healthy controls (CN), and patients with mild cognitive impairment (MCI), and Alzheimer’s disease (AD). We present the theoretical framework for determining the best driver nodes in connectivity graphs and their relation to disease evolution in dementia. We revolutionize the current graph analysis in brain networks and apply the concept of dynamic graph theory in connection with pinning controllability to reveal differences in the location of ”disease epicenters” that play an important role in the temporal evolution of dementia. The described research will constitute a leap in biomedical research related to novel disease prediction trajectories and precision dementia therapies.

Proceedings Article | 12 March 2018 Paper

Paper

Determining the importance of parameters extracted from multi-parametric MRI in the early prediction of the response to neo-adjuvant chemotherapy in breast cancer

Amirhessam Tahmassebi, Katja Pinker-Domenig, Georg Wengert, Thomas Helbich, Zsuzsanna Bago-Horvath, Anke Meyer-Baese

Proceedings Volume 10578, 1057818 (2018) https://doi.org/10.1117/12.2293858

KEYWORDS: Magnetic resonance imaging, Breast cancer, Feature extraction, Decision support systems, Lawrencium, Diffusion weighted imaging, Data conversion, Data modeling, Cancer, Machine learning

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Proceedings Article | 16 May 2017 Paper

Paper

The driving regulators of the connectivity protein network of brain malignancies

Amirhessam Tahmassebi, Katja Pinker-Domenig, Georg Wengert, Marc Lobbes, Andreas Stadlbauer, Norelle Wildburger, Francisco Romero, Diego Morales, Encarnacion Castillo, Antonio Garcia, Guillermo Botella, Anke Meyer-Bäse

Proceedings Volume 10216, 1021605 (2017) https://doi.org/10.1117/12.2263554

KEYWORDS: Proteins, Brain, Tumors, Neurons, Cell death, Biological research, Algorithm development, Stem cells, Cancer, Data modeling, Brain cancer, Biology

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Proceedings Article | 16 May 2017 Presentation + Paper

Presentation + Paper

Dynamical graph theory networks techniques for the analysis of sparse connectivity networks in dementia

Amirhessam Tahmassebi, Katja Pinker-Domenig, Georg Wengert, Marc Lobbes, Andreas Stadlbauer, Francisco Romero, Diego Morales, Encarnacion Castillo, Antonio Garcia, Guillermo Botella, Anke Meyer-Bäse

Proceedings Volume 10216, 1021609 (2017) https://doi.org/10.1117/12.2263555

KEYWORDS: Neurons, Network architectures, Systems modeling, Medical research, Neuroscience, Therapeutics, Dementia, Data modeling, Analytical research, Neuroimaging, Brain, Dynamical systems, Magnetic resonance imaging, Functional magnetic resonance imaging

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Proceedings Article | 12 July 2016 Paper

Paper

Proteomic data analysis of glioma cancer stem-cell lines based on novel nonlinear dimensional data reduction techniques

Sylvain Lespinats, Katja Pinker-Domenig, Georg Wengert, Ivo Houben, Marc Lobbes, Andreas Stadlbauer, Anke Meyer-Bäse

Proceedings Volume 9871, 98710T (2016) https://doi.org/10.1117/12.2229133

KEYWORDS: Data analysis, Proteins, Cancer, Visualization, Stem cells, Tumors, Visual analytics, Associative arrays, Biological research, Data mining

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Proceedings Article | 12 July 2016 Paper

Paper

Computer-aided diagnosis of diagnostically challenging lesions in breast MRI: a comparison between a radiomics and a feature-selective approach

Sebastian Hoffmann, Marc Lobbes, Ivo Houben, Katja Pinker-Domenig, Georg Wengert, Bernhard Burgeth, Uwe Meyer-Bäse, Guillaume Lemaitre, Anke Meyer-Baese

Proceedings Volume 9871, 98710H (2016) https://doi.org/10.1117/12.2228994

KEYWORDS: Magnetic resonance imaging, Breast, Computer aided diagnosis and therapy, Magnetic resonance imaging, Breast, Computer aided diagnosis and therapy, Tumors, Image segmentation, CAD systems, Motion measurement, Tissues, Cancer, Visualization

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Proceedings Article | 20 May 2015 Paper

Paper

Visual exploratory analysis of integrated chromosome 19 proteomic data derived from glioma cancer stem-cell lines based on novel nonlinear dimensional data reduction techniques

Sylvain Lespinats, Katja Pinker-Domenig, Uwe Meyer-Bäse, Anke Meyer-Bäse

Proceedings Volume 9496, 949607 (2015) https://doi.org/10.1117/12.2181814

KEYWORDS: Visualization, Cancer, Proteins, Visual analytics, Tumors, Associative arrays, Biological research, Stem cells, Data analysis, Data mining

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Proceedings Article | 20 May 2015 Paper

Paper

Dynamical complex network theory applied to the therapeutics of brain malignancies

Anke Meyer-Bäse, Daniel Fratte, Adrian Barbu, Katja Pinker-Domenig

Proceedings Volume 9496, 949608 (2015) https://doi.org/10.1117/12.2181816

KEYWORDS: Cancer, Stem cells, Tumors, Neodymium, Brain, Biological research, Control systems, Radon, Oncology, Cell death

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Showing 5 of 16 publications

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