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Finn Behrendt

Showing results (1-10 of 14) with videos related to

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International Journal of Computer Assisted Radiology and Surgery|July 12, 2021
Three-dimensional deep learning with spatial erasing for unsupervised anomaly segmentation in brain MRIMarcel Bengs, Finn Behrendt, Julia Krüger, et al.
International Journal of Computer Assisted Radiology and Surgery|July 13, 2024
Needle tracking in low-resolution ultrasound volumes using deep learningSarah Grube, Sarah Latus, Finn Behrendt, et al.
Medical Image Analysis|April 17, 2026
A review of deep learning-based Unsupervised Anomaly Detection in brain MRIFinn Behrendt, Debayan Bhattacharya, Lennart Maack, et al.
Scientific Reports|June 21, 2023
A systematic approach to deep learning-based nodule detection in chest radiographsFinn Behrendt, Marcel Bengs, Debayan Bhattacharya, et al.
International Journal of Computer Assisted Radiology and Surgery|August 8, 2024
PolypNextLSTM: a lightweight and fast polyp video segmentation network using ConvNext and ConvLSTMDebayan Bhattacharya, Konrad Reuter, Finn Behrendt, et al.
Biomedical Optics Express|March 2, 2026
A-scan sequence transformers for palpation with optical coherence elastographyRobin Mieling, Maximilian Neidhardt, Finn Behrendt, et al.
Computers in Biology and Medicine|January 23, 2025
Guided reconstruction with conditioned diffusion models for unsupervised anomaly detection in brain MRIsFinn Behrendt, Debayan Bhattacharya, Robin Mieling, et al.
International Journal of Computer Assisted Radiology and Surgery|June 16, 2024
BrainLossNet: a fast, accurate and robust method to estimate brain volume loss from longitudinal MRIRoland Opfer, Julia Krüger, Thomas Buddenkotte, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Tissue Classification During Needle Insertion Using Self-Supervised Contrastive Learning and Optical Coherence TomographyDebayan Bhattacharya, Sarah Latus, Finn Behrendt, et al.
The Laryngoscope|March 23, 2024
Computer-Aided Diagnosis of Maxillary Sinus Anomalies: Validation and Clinical CorrelationDebayan Bhattacharya, Benjamin Tobias Becker, Finn Behrendt, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
International Journal of Computer Assisted Radiology and Surgery|July 12, 2021
Three-dimensional deep learning with spatial erasing for unsupervised anomaly segmentation in brain MRIMarcel Bengs, Finn Behrendt, Julia Krüger, et al.
International Journal of Computer Assisted Radiology and Surgery|July 13, 2024
Needle tracking in low-resolution ultrasound volumes using deep learningSarah Grube, Sarah Latus, Finn Behrendt, et al.
Medical Image Analysis|April 17, 2026
A review of deep learning-based Unsupervised Anomaly Detection in brain MRIFinn Behrendt, Debayan Bhattacharya, Lennart Maack, et al.
Scientific Reports|June 21, 2023
A systematic approach to deep learning-based nodule detection in chest radiographsFinn Behrendt, Marcel Bengs, Debayan Bhattacharya, et al.
International Journal of Computer Assisted Radiology and Surgery|August 8, 2024
PolypNextLSTM: a lightweight and fast polyp video segmentation network using ConvNext and ConvLSTMDebayan Bhattacharya, Konrad Reuter, Finn Behrendt, et al.
Biomedical Optics Express|March 2, 2026
A-scan sequence transformers for palpation with optical coherence elastographyRobin Mieling, Maximilian Neidhardt, Finn Behrendt, et al.
Computers in Biology and Medicine|January 23, 2025
Guided reconstruction with conditioned diffusion models for unsupervised anomaly detection in brain MRIsFinn Behrendt, Debayan Bhattacharya, Robin Mieling, et al.
International Journal of Computer Assisted Radiology and Surgery|June 16, 2024
BrainLossNet: a fast, accurate and robust method to estimate brain volume loss from longitudinal MRIRoland Opfer, Julia Krüger, Thomas Buddenkotte, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Tissue Classification During Needle Insertion Using Self-Supervised Contrastive Learning and Optical Coherence TomographyDebayan Bhattacharya, Sarah Latus, Finn Behrendt, et al.
The Laryngoscope|March 23, 2024
Computer-Aided Diagnosis of Maxillary Sinus Anomalies: Validation and Clinical CorrelationDebayan Bhattacharya, Benjamin Tobias Becker, Finn Behrendt, et al.
Pageof 2