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Felix Meissen
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Challenging current semi-supervised anomaly segmentation methods for brain mri
F Meissen, G Kaissis, D Rueckert
International MICCAI brainlesion workshop, 63-74, 2022
312022
On the pitfalls of using the residual as anomaly score
F Meissen, B Wiestler, G Kaissis, D Rueckert
Medical Imaging with Deep Learning, 2022
24*2022
Unsupervised pathology detection: a deep dive into the state of the art
I Lagogiannis, F Meissen, G Kaissis, D Rueckert
IEEE Transactions on Medical Imaging, 2023
142023
Unsupervised anomaly localization with structural feature-autoencoders
F Meissen, J Paetzold, G Kaissis, D Rueckert
International MICCAI Brainlesion Workshop, 14-24, 2022
92022
The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn)
HB Li, GM Conte, SM Anwar, F Kofler, I Ezhov, K van Leemput, M Piraud, ...
ArXiv, 2023
52023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting
F Kofler, F Meissen, F Steinbauer, R Graf, E Oswald, E de da Rosa, HB Li, ...
arXiv preprint arXiv:2305.08992, 2023
42023
Approaching peak ground truth
F Kofler, J Wahle, I Ezhov, SJ Wagner, R Al-Maskari, E Gryska, M Todorov, ...
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-6, 2023
42023
Anatomy-Driven Pathology Detection on Chest X-rays
P Müller, F Meissen, J Brandt, G Kaissis, D Rueckert
International Conference on Medical Image Computing and Computer-Assisted …, 2023
32023
Autoseg-steering the inductive biases for automatic pathology segmentation
F Meissen, G Kaissis, D Rueckert
International Conference on Medical Image Computing and Computer-Assisted …, 2021
32021
Domain Shift as a Confounding Variable in Unsupervised Pathology Detection
F Meissen, I Lagogiannis, G Kaissis, D Rueckert
Medical Imaging with Deep Learning, 2022
22022
Robust Detection Outcome: A Metric for Pathology Detection in Medical Images
F Meissen, P Müller, G Kaissis, D Rueckert
arXiv preprint arXiv:2303.01920, 2023
12023
(Predictable) performance bias in unsupervised anomaly detection
F Meissen, S Breuer, M Knolle, A Buyx, R Müller, G Kaissis, B Wiestler, ...
EBioMedicine 101, 2024
2024
Weakly Supervised Object Detection in Chest X-Rays with Differentiable ROI Proposal Networks and Soft ROI Pooling
P Müller, F Meissen, G Kaissis, D Rueckert
arXiv preprint arXiv:2402.11985, 2024
2024
How Low Can You Go? Surfacing Prototypical In-Distribution Samples for Unsupervised Anomaly Detection
F Meissen, J Getzner, A Ziller, G Kaissis, D Rueckert
arXiv preprint arXiv:2312.03804, 2023
2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn)
H Bran Li, GM Conte, SM Anwar, F Kofler, K van Leemput, M Piraud, ...
arXiv e-prints, arXiv: 2305.09011, 2023
2023
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