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Disambiguation of "Rubin, Geoffrey D."

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Combining deep learning methods and human knowledge to identify abnormalities in computed tomography (CT) reports.

, , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109500V. SPIE, (2019)

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Hans Rubin

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Peter Rubin

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Berthold Rubin

 

Other publications of authors with the same name

Flattening the Abdominal Aortic Tree for Effective Visualization., , and . EMBC, page 3345-3348. IEEE, (2006)Assessment of Several Virtual Endoscopy Techniques Using Computed Tomography and Perspective Volume Rendering., , , , , , , , and . VBC, volume 1131 of Lecture Notes in Computer Science, page 521-528. Springer, (1996)Uncluttered Single-Image Visualization of Vascular Structures Using GPU and Integer Programming., , , , , and . IEEE Trans. Vis. Comput. Graph., 19 (1): 81-93 (2013)Classifying abnormalities in computed tomography radiology reports with rule-based and natural language processing models., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109504H. SPIE, (2019)Attention-guided classification of abnormalities in semi-structured computed tomography reports., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)2.5D CNN model for detecting lung disease using weak supervision., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109503O. SPIE, (2019)Weakly supervised 3D classification of chest CT using aggregated multi-resolution deep segmentation features., , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)Co-occurring diseases heavily influence the performance of weakly supervised learning models for classification of chest CT., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)Thin client architecture in support of remote radiology learning., , , , and . SAC, page 842-846. ACM, (2009)Learning-enhanced simulated annealing: method, evaluation, and application to lung nodule registration., , , , , and . Appl. Intell., 28 (1): 83-99 (2008)