Dr. Thomas Schlegl Profile

Dr. Thomas Schlegl

at Medizinische Univ Wien

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Author

Publications (8)

Proceedings Article | 13 March 2024 Presentation + Paper

Inpainting of detector saturation artifacts in OCT with deep learning

Jonas Nienhaus, Philipp Matten, Thomas Schlegl, Hessam Roodaki, Wolfgang Drexler, Rainer Leitgeb, Tilman Schmoll

Proceedings Volume 12830, 128300Z (2024) https://doi.org/10.1117/12.3005432

KEYWORDS: Optical coherence tomography, Interpolation, Deep learning, Image restoration, Reflection, Image processing, Imaging systems

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Proceedings Article | 11 August 2023 Paper

High quality optical coherence tomography imaging of mock cataract surgery with deep-learning-based denoising

Jonas Nienhaus, Anja Britten, Philipp Matten, Thomas Schlegl, Katharina Dettelbacher, Andreas Pollreisz, Wolfgang Drexler, Rainer Leitgeb, Tilman Schmoll

Proceedings Volume 12632, 126321Q (2023) https://doi.org/10.1117/12.2670877

KEYWORDS: Optical coherence tomography, Denoising, Coherence imaging, Surgery, Cataracts, Optical imaging, Education and training, Visualization, Tunable filters, Speckle

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Proceedings Article | 11 August 2023 Paper

Stable detection of diabetic lesions in widefield optical coherence tomography angiography en face images using a multiple instance learning binary classifier

P. Matten, J. Scherer, T. Schlegl, J. Nienhaus, H. Stino, A. Pollreisz, B. Lee, W. Drexler, R. Leitgeb, T. Schmoll

Proceedings Volume 12632, 126321M (2023) https://doi.org/10.1117/12.2670592

KEYWORDS: Optical coherence tomography, Image classification, Binary data, Angiography, Visualization, Terrain classification, Resistance, Reliability, Optical coherence, Neural networks

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Proceedings Article | 5 April 2023 Poster + Paper

Stable classification of diabetic structures from incorrectly labeled OCTA en face images using multi instance learning

Philipp Matten, Julius Scherer, Thomas Schlegl, Jonas Nienhaus, Heiko Stino, Andreas Pollreisz, Wolfgang Drexler, Rainer Leitgeb, Tilman Schmoll

Proceedings Volume 12464, 124641P (2023) https://doi.org/10.1117/12.2652891

KEYWORDS: Machine learning, Image classification, Optical coherence tomography, Image processing, Visualization, Image quality, Ophthalmology, Network architectures

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Proceedings Article | 3 April 2023 Poster + Paper

Self-supervised denoising using optimized blind-spot networks for real-time application in 4D-OCT

Jonas Nienhaus, Philipp Matten, Anja Britten, Thomas Schlegl, Eva Höck, Alexander Freytag, Matt Everett, Nancy Hecker-Denschlag, Wolfgang Drexler, Rainer Leitgeb, Tilman Schmoll

Proceedings Volume 12464, 124641V (2023) https://doi.org/10.1117/12.2653479

KEYWORDS: Deep learning, Denoising, Optical coherence tomography, Signal to noise ratio, Speckle

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Proceedings Article | 9 March 2023 Presentation

Learning to reconstruct structural OCT images from raw data using deep learning

Thomas Schlegl, Ali Salehi, Matt Everett, Niranchana Manivannan, Homayoun Bagherinia, Michael Niederleithner, Andreas Pollreisz, Wolfgang Drexler, Rainer Leitgeb, Tilman Schmoll

Proceedings Volume PC12367, PC123671B (2023) https://doi.org/10.1117/12.2652557

KEYWORDS: Optical coherence tomography, Neural networks, Signal processing, Associative arrays

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Proceedings Article | 8 March 2023 Presentation + Paper

Stable classification of diabetic structures from incorrectly labeled optical coherence tomography angiography en face images using multi instance learning

Philipp Matten, Julius Scherer, Thomas Schlegl, Jonas Nienhaus, Heiko Stino, Andreas Pollreisz, Wolfgang Drexler, Rainer Leitgeb, Tilman Schmoll

Proceedings Volume 12367, 123670S (2023) https://doi.org/10.1117/12.2652540

KEYWORDS: Machine learning, Image classification, Optical coherence tomography, Education and training, Angiography, Binary data, Visible radiation, Ophthalmology, Image segmentation

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Proceedings Article | 8 March 2023 Presentation + Paper

Real-time neural-network-based denoising for intraoperative 4D-OCT

Jonas Nienhaus, Philipp Matten, Anja Britten, Thomas Schlegl, Eva Höck, Alexander Freytag, Matt Everett, Nancy Hecker-Denschlag, Wolfgang Drexler, Rainer Leitgeb, Tilman Schmoll

Proceedings Volume 12367, 123670T (2023) https://doi.org/10.1117/12.2652855

KEYWORDS: Denoising, Optical coherence tomography, Signal to noise ratio, Neural networks, Artificial neural networks, GPU based image processing

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Showing 5 of 8 publications

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