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Disambiguation of "Opfer, Roland"

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Nodule Detection in Chest Radiographs with Unsupervised Pre-Trained Detection Transformers.

, , , , and . ISBI, page 1-4. IEEE, (2023)

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Roland Opfer

Karl Opfer

Holger Opfer

Carsten Opfer

Gerhard Opfer

 

Other publications of authors with the same name

Data-Efficient Vision Transformers for Multi-Label Disease Classification on Chest Radiographs., , , , and . CoRR, (2022)Three-dimensional deep learning with spatial erasing for unsupervised anomaly segmentation in brain MRI., , , , and . Int. J. Comput. Assist. Radiol. Surg., 16 (9): 1413-1423 (2021)4D Deep Learning for Multiple Sclerosis Lesion Activity Segmentation., , , , , , , and . CoRR, (2020)Guided Reconstruction with Conditioned Diffusion Models for Unsupervised Anomaly Detection in Brain MRIs., , , , , , and . CoRR, (2023)Abstract: Focused Unsupervised Image Registration for Structure-specific Population Analysis., , , , , and . Bildverarbeitung für die Medizin, page 52. Springer, (2024)Unsupervised anomaly detection in 3D brain MRI using deep learning with multi-task brain age prediction., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)3-Dimensional Deep Learning with Spatial Erasing for Unsupervised Anomaly Segmentation in Brain MRI., , , , and . CoRR, (2021)Patched Diffusion Models for Unsupervised Anomaly Detection in Brain MRI., , , , and . MIDL, volume 227 of Proceedings of Machine Learning Research, page 1019-1032. PMLR, (2023)Unsupervised Anomaly Detection in 3D Brain MRI Using Deep Learning with Impured Training Data., , , , , and . ISBI, page 1-4. IEEE, (2022)Multiple sclerosis lesion activity segmentation with attention-guided two-path CNNs., , , , , , , and . Comput. Medical Imaging Graph., (2020)