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Disambiguation of "Vos, Franciscus M."

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A study of the robustness of pseudorandom binary-array-based surface characterization.

, , , and . IEEE Trans. Instrumentation and Measurement, 47 (4): 833-838 (1998)

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Christopher Voss University of Stuttgart

Christopher Voss University of Stuttgart

Lukas Vosse University of Stuttgart

M. Nudischer

M. Kratzer

 

Other publications of authors with the same name

Automatic Detection and Segmentation of Crohn's Disease Tissues From Abdominal MRI., , , , , , , and . IEEE Trans. Med. Imaging, 32 (12): 2332-2347 (2013)Semi-Supervised and Active Learning for Automatic Segmentation of Crohn's Disease., , , , and . MICCAI (2), volume 8150 of Lecture Notes in Computer Science, page 214-221. Springer, (2013)Semi-automatic Crohn's Disease Severity Estimation on MR Imaging., , , , , , , , , and 2 other author(s). ABDI@MICCAI, volume 8676 of Lecture Notes in Computer Science, page 128-138. Springer, (2014)Crohn's disease tissue segmentation from abdominal MRI using semantic information and graph cuts., , , , and . ISBI, page 358-361. (2013)A study of the robustness of pseudorandom binary-array-based surface characterization., , , and . IEEE Trans. Instrumentation and Measurement, 47 (4): 833-838 (1998)Combining Multiple Expert Annotations Using Semi-supervised Learning and Graph Cuts for Crohn's Disease Segmentation., , , , , , , , , and 1 other author(s). ABDI@MICCAI, volume 8676 of Lecture Notes in Computer Science, page 139-147. Springer, (2014)Active learning based segmentation of Crohn's disease using principles of visual saliency., , , , , , , and . ISBI, page 226-229. IEEE, (2014)A Supervised Learning Based Approach to Detect Crohn's Disease in Abdominal MR Volumes., , , , and . Abdominal Imaging, volume 7601 of Lecture Notes in Computer Science, page 97-106. Springer, (2012)Computational modeling for assessment of IBD: To be or not to be?, , , , , , , , , and 2 other author(s). EMBC, page 3974-3977. IEEE, (2012)Weakly supervised semantic segmentation of Crohn's disease tissues from abdominal MRI., , , , , and . ISBI, page 844-847. (2013)