Publications by authors named "Finn Behrendt"

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Deep Denoising of Volumetric OCT Images for In Vivo Motion Detection.
Johanna Sprenger, Maximilian Neidhardt, Robin Mieling, Finn Behrendt, Matthias Schluter

Annu Int Conf IEEE Eng Med Biol Soc· July 2025

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Guided reconstruction with conditioned diffusion models for unsupervised anomaly detection in brain MRIs.
Finn Behrendt, Debayan Bhattacharya, Robin Mieling, Lennart Maack, Julia Krüger

Comput Biol Med· March 2025

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Needle tracking in low-resolution ultrasound volumes using deep learning.
Sarah Grube, Sarah Latus, Finn Behrendt, Oleksandra Riabova, Maximilian Neidhardt

Int J Comput Assist Radiol Surg· October 2024

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PolypNextLSTM: a lightweight and fast polyp video segmentation network using ConvNext and ConvLSTM.
Debayan Bhattacharya, Konrad Reuter, Finn Behrendt, Lennart Maack, Sarah Grube

Int J Comput Assist Radiol Surg· October 2024

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Computer-Aided Diagnosis of Maxillary Sinus Anomalies: Validation and Clinical Correlation.
Debayan Bhattacharya, Benjamin Tobias Becker, Finn Behrendt, Dirk Beyersdorff, Elina Petersen

Laryngoscope· September 2024

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Self-supervised learning for classifying paranasal anomalies in the maxillary sinus.
Debayan Bhattacharya, Finn Behrendt, Benjamin Tobias Becker, Lennart Maack, Dirk Beyersdorff

Int J Comput Assist Radiol Surg· September 2024

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BrainLossNet: a fast, accurate and robust method to estimate brain volume loss from longitudinal MRI.
Roland Opfer, Julia Krüger, Thomas Buddenkotte, Lothar Spies, Finn Behrendt

Int J Comput Assist Radiol Surg· September 2024

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Nodule Detection and Generation on Chest X-Rays: NODE21 Challenge.
Ecem Sogancioglu, Bram van Ginneken, Finn Behrendt, Marcel Bengs, Alexander Schlaefer

IEEE Trans Med Imaging· August 2024

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Multiple instance ensembling for paranasal anomaly classification in the maxillary sinus.
Debayan Bhattacharya, Finn Behrendt, Benjamin Tobias Becker, Dirk Beyersdorff, Elina Petersen

Int J Comput Assist Radiol Surg· February 2024

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Tissue Classification During Needle Insertion Using Self-Supervised Contrastive Learning and Optical Coherence Tomography.
Debayan Bhattacharya, Sarah Latus, Finn Behrendt, Florin Thimm, Dennis Eggert

Annu Int Conf IEEE Eng Med Biol Soc· July 2023

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A systematic approach to deep learning-based nodule detection in chest radiographs.
Finn Behrendt, Marcel Bengs, Debayan Bhattacharya, Julia Krüger, Roland Opfer

Sci Rep· June 2023

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Three-dimensional deep learning with spatial erasing for unsupervised anomaly segmentation in brain MRI.
Marcel Bengs, Finn Behrendt, Julia Krüger, Roland Opfer, Alexander Schlaefer

Int J Comput Assist Radiol Surg· September 2021

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