Finn Behrendt
Orcid: 0000-0001-7191-6508
According to our database1,
Finn Behrendt
authored at least 21 papers
between 2021 and 2024.
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Bibliography
2024
Int. J. Comput. Assist. Radiol. Surg., October, 2024
PolypNextLSTM: a lightweight and fast polyp video segmentation network using ConvNext and ConvLSTM.
Int. J. Comput. Assist. Radiol. Surg., October, 2024
BrainLossNet: a fast, accurate and robust method to estimate brain volume loss from longitudinal MRI.
Int. J. Comput. Assist. Radiol. Surg., September, 2024
Int. J. Comput. Assist. Radiol. Surg., September, 2024
IEEE Trans. Medical Imaging, August, 2024
Multiple instance ensembling for paranasal anomaly classification in the maxillary sinus.
Int. J. Comput. Assist. Radiol. Surg., February, 2024
Leveraging the Mahalanobis Distance to Enhance Unsupervised Brain MRI Anomaly Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Can Complex-Valued Neural Networks Improve Force Sensing with Optical Coherence Tomography?
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Diffusion Models with Ensembled Structure-Based Anomaly Scoring for Unsupervised Anomaly Detection.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2023
Guided Reconstruction with Conditioned Diffusion Models for Unsupervised Anomaly Detection in Brain MRIs.
CoRR, 2023
Proceedings of the Medical Imaging with Deep Learning, 2023
Optical Coherence Elastography Needle for Biomechanical Characterization of Deep Tissue.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023
Nodule Detection in Chest Radiographs with Unsupervised Pre-Trained Detection Transformers.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Tissue Classification During Needle Insertion Using Self-Supervised Contrastive Learning and Optical Coherence Tomography.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2022
Data-Efficient Vision Transformers for Multi-Label Disease Classification on Chest Radiographs.
CoRR, 2022
Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Unsupervised anomaly detection in 3D brain MRI using deep learning with multi-task brain age prediction.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022
Unsupervised Anomaly Detection in 3D Brain MRI Using Deep Learning with Impured Training Data.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
2021
3-Dimensional Deep Learning with Spatial Erasing for Unsupervised Anomaly Segmentation in Brain MRI.
CoRR, 2021
Three-dimensional deep learning with spatial erasing for unsupervised anomaly segmentation in brain MRI.
Int. J. Comput. Assist. Radiol. Surg., 2021