1984 …2019
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Fingerprint Dive into the research topics where Gregory Hager is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 3 Similar Profiles
Robots Engineering & Materials Science
Surgery Engineering & Materials Science
Robotics Engineering & Materials Science
Ultrasonics Engineering & Materials Science
Cameras Engineering & Materials Science
Endoscopy Engineering & Materials Science
Sensors Engineering & Materials Science
Elasticity Imaging Techniques Medicine & Life Sciences

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Research Output 1984 2019

2019 data fusion contest

Le Saux, B., Yokoya, N., Hansch, R., Brown, M. & Hager, G., Mar 1 2019, IEEE Geoscience and Remote Sensing Magazine, 7, 1, p. 103-105 3 p.

Research output: Contribution to specialist publicationArticle

multisensor fusion
Data fusion

Artificial intelligence to diagnose ischemic stroke and identify large vessel occlusions: A systematic review

Murray, N. M., Unberath, M., Hager, G. & Hui, F., Jan 1 2019, (Accepted/In press) In : Journal of neurointerventional surgery.

Research output: Contribution to journalReview article

Artificial Intelligence

Assessment of Automated Identification of Phases in Videos of Cataract Surgery Using Machine Learning and Deep Learning Techniques

Yu, F., Silva Croso, G., Kim, T. S., Song, Z., Parker, F., Hager, G., Reiter, A., Vedula, S. S., Ali, H. & Sikder, S., Apr 5 2019, In : JAMA network open. 2, 4, p. e191860

Research output: Contribution to journalArticle

ROC Curve
Internship and Residency

Automated semantic labeling of pediatric musculoskeletal radiographs using deep learning

Yi, P. H., Kim, T. K., Wei, J., Shin, J., Hui, F., Sair, H., Hager, G. & Fritz, J., Jan 1 2019, In : Pediatric radiology.

Research output: Contribution to journalArticle

ROC Curve
Area Under Curve

Automated Surgical Activity Recognition with One Labeled Sequence

DiPietro, R. & Hager, G. D., Jan 1 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). Springer, p. 458-466 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11768 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Activity Recognition