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Identifying Patients at Risk for Aortic Stenosis Through Learning from Multimodal Data.

, , , , , , , and . MICCAI (3), volume 9902 of Lecture Notes in Computer Science, page 238-245. (2016)

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A hybrid learning approach for semantic labeling of cardiac CT slices and recognition of body position., , , , and . ISBI, page 1418-1421. IEEE, (2016)Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-rays., , , , , , , , , and 2 other author(s). CoRR, (2019)Identifying disease-free chest x-ray images with deep transfer learning., , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109500P. SPIE, (2019)Artificial intelligence for point of care radiograph quality assessment., , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109503K. SPIE, (2019)Improving the Path from Diagnoses to Documentation: A Cognitive Review Tool for Clinical Notes and Administrative Records., , , , , and . AMIA, AMIA, (2018)Cardiac disease detection from echocardiogram using edge filtered scale-invariant motion features., , , and . CVPR Workshops, page 162-169. IEEE Computer Society, (2010)Medical sieve: a cognitive assistant for radiologists and cardiologists., , , , , , , , , and 13 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 9785 of SPIE Proceedings, page 97850A. SPIE, (2016)Deep Network Anatomy Segmentation with Limited Annotations using Auxiliary Labels., , , and . ISBI, page 6-10. IEEE, (2019)Anatomical Structure Labeling in Apical Four-Chamber View Echocardiogram Images., , , and . CinC, page 317-320. www.cinc.org, (2014)Viewpoint Recognition in Cardiac CT Images., , and . FIMH, volume 9126 of Lecture Notes in Computer Science, page 180-188. Springer, (2015)