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Disambiguation of "Vandermeulen, Dirk"

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Modeling shapes and textures from images: new frontiers.

, , , , and . 3DPVT, page 286-295. IEEE Computer Society, (2002)

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Guido Vandermeulen

Daniel Dirkmann

In-vitro-Untersuchungen zum Effekt von Hypothermie und Azidose auf Variablen thrombelastometrischer Messungen der Blutgerinnung. Uni Duisburg-Essen, (2009)

Dieter Dirksen

Dorothea Dirksen

Richard Dirkmann

 

Other publications of authors with the same name

Robust initialization for 2D/3D registration of knee implant models to single-plane fluoroscopy., , , , and . Medical Imaging: Image Processing, volume 6512 of SPIE Proceedings, page 651208. SPIE, (2007)Automated Segmentation of MS Lesions from Multi-channel MR Images., , , , , and . MICCAI, volume 1679 of Lecture Notes in Computer Science, page 11-21. Springer, (1999)Active Shape Model-Based Segmentation of Digital X-ray Images., , , , and . MICCAI, volume 1679 of Lecture Notes in Computer Science, page 128-137. Springer, (1999)Validation of Nonlinear Spatial Filtering to Improve Tissue Segmentation of MR Brain Images., , , , and . MICCAI, volume 2208 of Lecture Notes in Computer Science, page 507-515. Springer, (2001)Integrating Statistical Shape Models into a Graph Cut Framework for Tooth Segmentation., , and . MLMI, volume 7588 of Lecture Notes in Computer Science, page 242-249. Springer, (2012)Detection of Vertebral Fractures in CT Using 3D Convolutional Neural Networks., , , , , , and . CSI@MICCAI, volume 11963 of Lecture Notes in Computer Science, page 3-14. Springer, (2019)Accurate segmentation of blood vessels from 3D medical images., , , , , and . ICIP (3), page 311-314. IEEE Computer Society, (1996)Bipolar Comparison of 3D Ear Models., , , , , and . IPMU (3), volume 444 of Communications in Computer and Information Science, page 160-169. Springer, (2014)Automated Cephalometric Landmark Identification Using Shape and Local Appearance Models., , , and . ICPR, page 2464-2467. IEEE Computer Society, (2010)Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging., , , , , , , , , and 30 other author(s). CoRR, (2020)