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Disambiguation of "Valentinitsch, Alexander"

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Texture Analysis in Quantitative Osteoporosis Assessment.

, , , , and . Bildverarbeitung für die Medizin, volume 574 of CEUR Workshop Proceedings, page 61-65. CEUR-WS.org, (2010)

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Helfried Valentinitsch

Alexander

Alexander Stadler

Messtechnische Bestimmung und Simulation der Kernverluste in weichmagnetischen Materialien. Uni Erlangen-Nürnberg, (2009)

Alexander Auch

A phylogenetic potpourri: computational methods for analysing genome scale data. Uni Tübingen, (2010)

Alexander Blecken

A reference task model for supply chain processes of humanitarian organisations. Uni Paderborn, (2009)
 

Other publications of authors with the same name

Texture Analysis in Quantitative Osteoporosis Assessment., , , , and . Bildverarbeitung für die Medizin, volume 574 of CEUR Workshop Proceedings, page 61-65. CEUR-WS.org, (2010)Multi-modal Image Classification Using Low-Dimensional Texture Features for Genomic Brain Tumor Recognition., , , , , , , and . GRAIL/MFCA/MICGen@MICCAI, volume 10551 of Lecture Notes in Computer Science, page 201-209. Springer, (2017)Trabecular bone class mapping across resolutions: translating methods from HR-pQCT to clinical CT., , , , , , and . Medical Imaging: Image Processing, volume 9413 of SPIE Proceedings, page 94131D. SPIE, (2015)VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images., , , , , , , , , and 59 other author(s). Medical Image Anal., (2021)VerSe: A Vertebrae Labelling and Segmentation Benchmark., , , , , , , , , and 20 other author(s). CoRR, (2020)Texture analysis in quantitative osteoporosis assessment: characterizing microarchitecture., , , , and . ISBI, page 1361-1364. IEEE, (2010)Automated threshold-independent cortex segmentation by 3D-texture analysis of HR-pQCT scans, , , , , , and . Bone, 51 (3): 480-7 (September 2012)Probabilistic Point Cloud Reconstructions for Vertebral Shape Analysis., , , , , and . MICCAI (6), volume 11769 of Lecture Notes in Computer Science, page 375-383. Springer, (2019)SurvivalNet: Predicting patient survival from diffusion weighted magnetic resonance images using cascaded fully convolutional and 3D Convolutional Neural Networks., , , , , , , , , and . ISBI, page 839-843. IEEE, (2017)A Localisation-Segmentation Approach for Multi-label Annotation of Lumbar Vertebrae using Deep Nets., , , and . CoRR, (2017)