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Disambiguation of "Weber, Marc André"

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VISCERAL-VISual Concept Extraction challenge in Radiology: Segmentation challenge: overview, insights and preliminary results

, , , , , , , , , , , , , , and . European Congress of Radiology (ECR) 2015, Vienna, Austria, (2015)

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Marc-André Weber

André Weber

André Weber

André Weber

Marc André Schwarz

 

Other publications of authors with the same name

Mapping Multi-Modal Routine Imaging Data to a Single Reference via Multiple Templates., , , and . DLMIA/ML-CDS@MICCAI, volume 10553 of Lecture Notes in Computer Science, page 341-348. Springer, (2017)Achievements and Opportunities of Digitalization in Productivity Management., , , , and . AHFE (7), volume 1207 of Advances in Intelligent Systems and Computing, page 17-24. Springer, (2020)Predicting Future Bone Infiltration Patterns in Multiple Myeloma., , , , and . Patch-MI@MICCAI, volume 11075 of Lecture Notes in Computer Science, page 76-84. Springer, (2018)Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge., , , , , , , , , and 41 other author(s). CoRR, (2018)Prevalence and predictors of alternative diagnoses on whole-leg ultrasound negative for acute deep venous thrombosis., , , , , , , and . BMC Medical Imaging, 20 (1): 127 (2020)The Federated Tumor Segmentation (FeTS) Challenge., , , , , , , , , and 22 other author(s). CoRR, (2021)Holistic Productivity Management Using Digitalization., , , and . AHFE (8), volume 959 of Advances in Intelligent Systems and Computing, page 104-115. Springer, (2019)VISCERAL - VISual Concept Extraction Challenge in RAdioLogy: ISBI 2014 Challenge Organization, , , , , , , , , and 7 other author(s). Proceedings of the VISCERAL Challenge at ISBI, 1194, page 6-15. (2014)Productivity Strategies Using Digital Information Systems in Production Environments., , , and . APMS (1), volume 513 of IFIP Advances in Information and Communication Technology, page 338-345. Springer, (2017)Semi-supervised Tumor Detection in Magnetic Resonance Spectroscopic Images Using Discriminative Random Fields., , , , and . DAGM-Symposium, volume 4713 of Lecture Notes in Computer Science, page 224-233. Springer, (2007)