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Author

Finn Behrendt

Observed names: Behrendt, Finn, Behrendt, Finn Tobias
Observed institution: Hamburg University of Technology
ORCID: 0000-0001-7191-6508
Observed ORCID: 0000-0001-7191-6508
OpenAlex ID: A5083173883
Three-dimensional deep learning with spatial erasing for unsupervised anomaly segmentation in brain MRI
2021 · Marcel Bengs, Finn Behrendt, et al. · International Journal of Computer Assisted Radiology and Surgery · 31
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Nodule Detection and Generation on Chest X-Rays: NODE21 Challenge
2024 · Ecem Sogancioglu, Bram van Ginneken, et al. · IEEE Transactions on Medical Imaging · 24
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Guided reconstruction with conditioned diffusion models for unsupervised anomaly detection in brain MRIs
2025 · Finn Behrendt, Debayan Bhattacharya, et al. · Computers in Biology and Medicine · 22
A systematic approach to deep learning-based nodule detection in chest radiographs
2023 · Finn Behrendt, Marcel Bengs, et al. · Scientific Reports · 18
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Leveraging the Mahalanobis Distance to Enhance Unsupervised Brain MRI Anomaly Detection
2024 · Finn Behrendt, Debayan Bhattacharya, et al. · Lecture notes in computer science · 12
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Patched Diffusion Models for Unsupervised Anomaly Detection in Brain MRI
2023 · Behrendt, Finn, Bhattacharya, Debayan, et al. · arXiv (Cornell University) · 10
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Data-Efficient Vision Transformers for Multi-Label Disease Classification on Chest Radiographs
2022 · Finn Behrendt, Debayan Bhattacharya, et al. · Current Directions in Biomedical Engineering · 10
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Needle tracking in low-resolution ultrasound volumes using deep learning
2024 · Sarah Grube, Sarah Latus, et al. · International Journal of Computer Assisted Radiology and Surgery · 9
Unsupervised anomaly detection in 3D brain MRI using deep learning with multi-task brain age prediction
2022 · Marcel Bengs, Finn Behrendt, et al. · SPIE Medical Imaging: Computer-Aided Diagnosis · 9
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Diffusion Models with Ensembled Structure-Based Anomaly Scoring for Unsupervised Anomaly Detection
2024 · Finn Behrendt, Debayan Bhattacharya, et al. · IEEE International Symposium on Biomedical Imaging (ISBI) · 8
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Unsupervised Anomaly Detection in 3D Brain MRI Using Deep Learning with Impured Training Data
2022 · Finn Behrendt, Marcel Bengs, et al. · IEEE International Symposium on Biomedical Imaging (ISBI) · 8
PolypNextLSTM: a lightweight and fast polyp video segmentation network using ConvNext and ConvLSTM
2024 · Debayan Bhattacharya, Konrad Reuter, et al. · International Journal of Computer Assisted Radiology and Surgery · 6
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Multiple instance ensembling for paranasal anomaly classification in the maxillary sinus
2023 · Debayan Bhattacharya, Finn Behrendt, et al. · International Journal of Computer Assisted Radiology and Surgery · 6
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A-scan sequence transformers for palpation with optical coherence elastography
2025 · Robin Mieling, Maximilian Neidhardt, et al. · Biomedical Optics Express · 4
BrainLossNet: a fast, accurate and robust method to estimate brain volume loss from longitudinal MRI
2024 · Roland Opfer, Julia Krüger, et al. · International Journal of Computer Assisted Radiology and Surgery · 4
Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus
2022 · Debayan Bhattacharya, Benjamin Tobias Becker, et al. · Lecture notes in computer science · 4
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Generalization of spatio-temporal deep learning for vision-based force estimation
2020 · Finn Behrendt, Nils Gessert, et al. · Current Directions in Biomedical Engineering · 3
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Computer‐Aided Diagnosis of Maxillary Sinus Anomalies: Validation and Clinical Correlation
2024 · Debayan Bhattacharya, Benjamin Tobias Becker, et al. · The Laryngoscope · 2
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Unsupervised anomaly detection of paranasal anomalies in the maxillary sinus
2023 · Debayan Bhattacharya, Finn Behrendt, et al. · SPIE Medical Imaging: Computer-Aided Diagnosis · 2
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A review of deep learning-based Unsupervised Anomaly Detection in brain MRI
2026 · Finn Behrendt, Debayan Bhattacharya, et al. · Medical Image Analysis · 1
Quantitative evaluation of activation maps for weakly-supervised lung nodule segmentation
2024 · Finn Behrendt, Suyash Sonawane, et al. · SPIE Medical Imaging: Computer-Aided Diagnosis · 1
Nodule Detection in Chest Radiographs with Unsupervised Pre-Trained Detection Transformers
2023 · Finn Behrendt, Debayan Bhattacharya, et al. · IEEE International Symposium on Biomedical Imaging (ISBI) · 1
Multiple Instance Ensembling For Paranasal Anomaly Classification In The Maxillary Sinus
2023 · Bhattacharya, Debayan, Behrendt, Finn, et al. · arXiv (Cornell University) · 1
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Optical Coherence Elastography Needle for Biomechanical Characterization of Deep Tissue
2023 · Robin Mieling, Sarah Latus, et al. · Lecture notes in computer science · 1
Deep generative models for unsupervised anomaly detection in magnetic resonance imaging of the brain
2026 · Behrendt, Finn Tobias
Works count: 41
Citation count: 199
H-index: 9
I10-index: 7
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