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Disambiguation of "Maes, Frederik"

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An Automated 3D Algorithm for Neo-cortical Thickness Measurement.

, , , , , and . MICCAI (2), volume 2879 of Lecture Notes in Computer Science, page 488-495. Springer, (2003)

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Hanna Maes

Jürgen Maes

Ullinca Maes

Roel Maes

Heiner Maes

 

Other publications of authors with the same name

Image Based Musculoskeletal Modeling Allows Personalized Biomechanical Analysis of Gait., , , , , and . ISBMS, volume 4072 of Lecture Notes in Computer Science, page 58-66. Springer, (2006)Visualizing electrocardiographic information on a patient specific model of the heart., , , , , , and . Medical Imaging: Image-Guided Procedures, volume 5029 of SPIE Proceedings, SPIE, (2003)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)The Minimal Entropy Prior for Simultaneous Reconstruction and Segmentation of in Vivo Microct Trabecular Bone Images., , , , , and . ISBI, page 586-589. IEEE, (2009)Nonrigid Registration of Multitemporal CT and MR Images for Radiotherapy Treatment Planning., , , , , , and . WBIR, volume 4057 of Lecture Notes in Computer Science, page 297-305. Springer, (2006)Validation of nonrigid registration for multi-tracer PET-CT treatment planning in rectal cancer radiotherapy., , , , and . Medical Imaging: Image Processing, volume 7259 of SPIE Proceedings, page 725936. SPIE, (2009)Simultaneous Segmentation and Anatomical Labeling of the Cerebral Vasculature., , , , , , , and . MICCAI (1), volume 8673 of Lecture Notes in Computer Science, page 307-314. Springer, (2014)Catheter based calibration for augmented reality guidance of cardiac thermo-ablation procedures., , , , and . Medical Imaging: Image-Guided Procedures, volume 5744 of SPIE Proceedings, SPIE, (2005)Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging., , , , , , , , , and 30 other author(s). CoRR, (2020)