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Disambiguation of "Rubin, Daniel L."

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Geographic atrophy segmentation in SD-OCT images using synthesized fundus autofluorescence imaging.

, , , , , , , and . Computer Methods and Programs in Biomedicine, (2019)

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L. Ahlgrimm

Lambert Theisen University of Stuttgart

Annika Liebgott

Automated reference-free assessment of MR image quality using an active learning approach: Comparison of Support Vector Machine versus Deep Neural Network classification, , , , , , , and . Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Honolulu, Hawaii, USA, (April 2017)
Automated reference-free assessment of MR image quality using an active learning approach: Comparison of Support Vector Machine versus Deep Neural Network classification, , , , , , , and . Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Honolulu, Hawaii, USA, (April 2017)An easy-to-use image labeling platform for automatic Magnetic Resonance Image Quality Assessment, , , , , , and . Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI), Melbourne, Australia, (April 2017)Automated image quality assessment in whole-body MRI, , , , , , , , and . Proceedings of the Radiological Society of North America (RSNA), Chicago, USA, (November 2016)

Daniel Marino

Daniel Roth

 

Other publications of authors with the same name

Protégé-OWL: Creating Ontology-Driven Reasoning Applications with the Web Ontology Language., , , , and . AMIA, AMIA, (2005)Knowledge representation and tool support for critiquing clinical trial protocols., , and . AMIA, AMIA, (2000)Annotation and Image Markup: Accessing and Interoperating with the Semantic Content in Medical Imaging., , , , and . IEEE Intelligent Systems, 24 (1): 57-65 (2009)A semantic framework for the retrieval of similar radiological images based on medical annotations., , , and . ICIP, page 2241-2245. IEEE, (2014)Ontology Development for a Pharmacogenetics Knowledge Base., , , , , and . Pacific Symposium on Biocomputing, page 65-76. (2002)On the Feasibility of Predicting Radiological Observations from Computational Imaging Features of Liver Lesions in CT Scans., , , , , , and . HISB, page 346-350. IEEE, (2011)Automated classification of brain tumor type in whole-slide digital pathology images using local representative tiles., , , and . Medical Image Analysis, (2016)Adaptive local window for level set segmentation of CT and MRI liver lesions., , , , , , and . Medical Image Analysis, (2017)Automatic Classification of Cancer Tumors Using Image Annotations and Ontologies., , and . CBMS, page 368-369. IEEE Computer Society, (2015)Annotation for Information Extraction from Mammography Reports., , and . ICIMTH, volume 190 of Studies in Health Technology and Informatics, page 183-185. IOS Press, (2013)