Author of the publication

Estimation of motion fields by non-linear registration for local lung motion analysis in 4D CT image data.

, , , , and . Int. J. Comput. Assist. Radiol. Surg., 5 (6): 595-605 (2010)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Multi-scale fully convolutional neural networks for histopathology image segmentation: From nuclear aberrations to the global tissue architecture., , , , , , and . Medical Image Anal., (2021)3d-SMRnet: Achieving a new quality of MPI system matrix recovery by deep learning., , , , , and . CoRR, (2019)Self-supervision for medical image classification: state-of-the-art performance with ~100 labeled training samples per class., , , and . CoRR, (2023)Extending Tempcyclegan for Virtual Augmentation of Gastrointestinal Endoscopy Training Simulators., , , , , and . Bildverarbeitung für die Medizin, page 3-8. Springer, (2023)Abstract: Reduktion der Kalibrierungszeit für die Magnetpartikelbildgebung mittels Deep Learning., , , , , and . Bildverarbeitung für die Medizin, page 337. Springer, (2021)Reservoir Computing for Jurkat T-cell Segmentation in High Resolution Live Cell Ca2+ Fluorescence Microscopy., , , and . ISBI, page 1587-1591. IEEE, (2020)Skin Lesion Classification Using CNNs With Patch-Based Attention and Diagnosis-Guided Loss Weighting., , , , , , , and . IEEE Trans. Biomed. Eng., 67 (2): 495-503 (2020)Combining Good Old Random Forest and DeepLabv3+ for ISLES 2018 CT-Based Stroke Segmentation., , , and . BrainLes@MICCAI (1), volume 11383 of Lecture Notes in Computer Science, page 335-342. Springer, (2018)Self-consistent deep learning-based boosting of 4D cone-beam computed tomography reconstruction., , , and . Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 1094902. SPIE, (2019)3d-SMRnet: Achieving a New Quality of MPI System Matrix Recovery by Deep Learning., , , , , and . MICCAI (2), volume 12262 of Lecture Notes in Computer Science, page 74-82. Springer, (2020)