Mr. Finn Behrendt Profile

Finn Behrendt

at Technische Univ. Hamburg-Harburg

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Publications (5)

Proceedings Article | 3 April 2024 Poster + Paper

Weakly supervised medulloblastoma tumor classification using domain specific patch-level feature extraction

Lennart Maack, Debayan Bhattacharya, Finn Behrendt, Michael Bockmayr, Alexander Schlaefer

Proceedings Volume 12933, 129331C (2024) https://doi.org/10.1117/12.3006455

KEYWORDS: Histopathology, Feature extraction, Education and training, Tumors, Machine learning, Image classification, Visualization, Cancer, Brain, Receivers

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Proceedings Article | 3 April 2024 Poster + Paper

Quantitative evaluation of activation maps for weakly-supervised lung nodule segmentation

Finn Behrendt, Suyash Sonawane, Debayan Bhattacharya, Lennart Maack, Julia Krüger, Roland Opfer, Alexander Schlaefer

Proceedings Volume 12927, 129272P (2024) https://doi.org/10.1117/12.3006416

KEYWORDS: Image segmentation, Education and training, Chest imaging, Visualization, Deep learning, Performance modeling, Pathology, Lung, Convolutional neural networks, Artificial intelligence

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Proceedings Article | 3 April 2024 Presentation + Paper

Convolutional transformer network for paranasal anomaly classification in the maxillary sinus

Debayan Bhattacharya, Finn Behrendt, Lennart Maack, Benjamin Tobias Becker, Dirk Beyersdorff, Elina Petersen, Marvin Petersen, Bastian Cheng, Dennis Eggert, Christian Betz, Anna Sophie Hoffmann, Alexander Schlaefer

Proceedings Volume 12927, 1292717 (2024) https://doi.org/10.1117/12.3005515

KEYWORDS: Transformers, Magnetic resonance imaging, Head, Education and training, Deep learning, Convolution, Polyps, Neck, Feature selection, Cross validation

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Proceedings Article | 7 April 2023 Presentation + Paper

Unsupervised anomaly detection of paranasal anomalies in the maxillary sinus

Debayan Bhattacharya, Finn Behrendt, Benjamin Tobias Becker, Dirk Beyersdorff, Elina Petersen, Marvin Petersen, Bastian Cheng, Dennis Eggert, Christian Betz, Anna Sophie Hoffmann, Alexander Schlaefer

Proceedings Volume 12465, 124651B (2023) https://doi.org/10.1117/12.2651525

KEYWORDS: Magnetic resonance imaging, Education and training, Polyps, Head, Neck, Machine learning, Data modeling, Voxels, Medical image reconstruction, Image restoration, Convolutional neural networks

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Proceedings Article | 4 April 2022 Presentation + Paper

Unsupervised anomaly detection in 3D brain MRI using deep learning with multi-task brain age prediction

Marcel Bengs, Finn Behrendt, Max-Heinrich Laves, Julia Krüger, Roland Opfer, Alexander Schlaefer

Proceedings Volume 12033, 1203314 (2022) https://doi.org/10.1117/12.2608120

KEYWORDS: Computer aided diagnosis and therapy, Machine learning, Computer vision technology, Pattern recognition, Brain, Magnetic resonance imaging, Neuroimaging, Magnetism, Intelligence systems, Diagnostics, Computer programming, 3D scanning, 3D magnetic resonance imaging

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