( en | de | ru )

 

Disambiguation of "Spiclin, Ziga"

Author of the publication

copydeleteadd this publication to your clipboard
A Multi-scale Multiple Sclerosis Lesion Change Detection in a Multi-sequence MRI.

, , , , , and . DLMIA/ML-CDS@MICCAI, volume 11045 of Lecture Notes in Computer Science, page 353-360. Springer, (2018)

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.

Matthias Zigann

Klaus Zigahl

Alexander Zigahl

Christina Zigann

Herbert Zigann

 

Other publications of authors with the same name

3D-2D registration in endovascular image-guided surgery: evaluation of state-of-the-art methods on cerebral angiograms., , , and . Int. J. Comput. Assist. Radiol. Surg., 13 (2): 193-202 (2018)Device and methods for "gold standard" registration of clinical 3D and 2D cerebral angiograms., , , and . Medical Imaging: Image-Guided Procedures, volume 9415 of SPIE Proceedings, page 94151G. SPIE, (2015)Spatio-Temporal Learning from Longitudinal Data for Multiple Sclerosis Lesion Segmentation., , , , , , and . BrainLes@MICCAI (1), volume 12658 of Lecture Notes in Computer Science, page 111-121. Springer, (2020)Modality agnostic intracranial aneurysm detection through supervised vascular surface classification., , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11597 of SPIE Proceedings, SPIE, (2021)QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge., , , , , , , , , and 70 other author(s). CoRR, (2024)A framework for automatic creation of gold-standard rigid 3D-2D registration datasets., , , and . Int. J. Comput. Assist. Radiol. Surg., 12 (2): 263-275 (2017)Predicting future multiple sclerosis disease progression from MR scans., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12465 of SPIE Proceedings, SPIE, (2023)Modeling Multi-annotator Uncertainty as Multi-class Segmentation Problem., , and . BrainLes@MICCAI (1), volume 12962 of Lecture Notes in Computer Science, page 112-123. Springer, (2021)Improving Across Dataset Brain Age Predictions Using Transfer Learning., and . PRIME@MICCAI, volume 12928 of Lecture Notes in Computer Science, page 243-254. Springer, (2021)BASE: Brain Age Standardized Evaluation., , and . NeuroImage, (January 2024)