Hager, Gregory D.
Johns Hopkins University
13 papers on CoChatORCID 0000-0002-6662-9763
Most cited papers
- Verified
Temporal Convolutional Networks for Action Segmentation and Detection
Lea, C., Flynn, M. D., Vidal, R., Reiter, A., & Hager, G. D. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Human Pose and Action RecognitionHand Gesture Recognition Systems
Cited by 2,238
- Verified
Efficient region tracking with parametric models of geometry and illumination
Hager, G. D., & Belhumeur, P. N. (1998) · IEEE Transactions on Pattern Analysis and Machine Intelligence
Video Surveillance and Tracking MethodsAdvanced Vision and Imaging
Cited by 1,066
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Large-scale pancreatic cancer detection via non-contrast CT and deep learning
Cao, K., Xia, Y., Yao, J., Han, X., Lambert, L., Zhang, T., Tang, W., Jin, G., Jiang, H., Fang, X., et al. (2023) · Nature Medicine
AI in cancer detectionRadiomics and Machine Learning in Medical Imaging
Cited by 358
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Deep learning: RNNs and LSTM
DiPietro, R., & Hager, G. D. (2020) · Handbook of Medical Image Computing and Computer Assisted Intervention
Neural Networks and ApplicationsHydrological Forecasting Using AI
Cited by 293
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Towards automatic skill evaluation: Detection and segmentation of robot-assisted surgical motions
Lin, H. C., Shafran, I., Yuh, D., & Hager, G. D. (2006) · Computer Aided Surgery
Surgical Simulation and TrainingHand Gesture Recognition Systems
Cited by 254
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Segmental Spatiotemporal CNNs for Fine-Grained Action Segmentation
Lea, C., Reiter, A., Vidal, R., & Hager, G. D. (2016) · Lecture Notes in Computer Science
Human Pose and Action RecognitionHand Gesture Recognition Systems
Cited by 246
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Development and application of a new steady-hand manipulator for retinal surgery
Mitchell, B., Koo, J., Iordachita, I., Kazanzides, P., Kapoor, A., Handa, J., Hager, G., & Taylor, R. (2007) · Proceedings 2007 IEEE International Conference on Robotics and Automation
Teleoperation and Haptic SystemsRetinal and Macular Surgery
Cited by 174
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On the use of simulation in robotics: Opportunities, challenges, and suggestions for moving forward
Choi, H., Crump, C., Duriez, C., Elmquist, A., Hager, G., Han, D., Hearl, F., Hodgins, J., Jain, A., Leve, F., et al. (2021) · Proceedings of the National Academy of Sciences
Reinforcement Learning in RoboticsRobot Manipulation and Learning
Cited by 162
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Vision-based Navigation in Image-Guided Interventions
Mirota, D. J., Ishii, M., & Hager, G. D. (2011) · Annual Review of Biomedical Engineering
Medical Image Segmentation TechniquesSurgical Simulation and Training
Cited by 137
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Artificial Intelligence for Social Good
Hager, G. D., Drobnis, A., Fang, F., Ghani, R., Greenwald, A., Lyons, T., Parkes, D. C., Schultz, J., Saria, S., Smith, S. F., et al. (2019) · arXiv
Ethics and Social Impacts of AIArtificial Intelligence Applications
Cited by 108
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Image-based navigation for functional endoscopic sinus surgery using structure from motion
Leonard, S., Reiter, A., Sinha, A., Ishii, M., Taylor, R. H., & Hager, G. D. (2016) · SPIE Proceedings
Medical Image Segmentation TechniquesAugmented Reality Applications
Cited by 35
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Endoscopic Navigation in the Clinic: Registration in the Absence of Preoperative Imaging
Sinha, A., Ishii, M., Hager, G. D., & Taylor, R. H. (2019) · International Journal of Computer Assisted Radiology and Surgery
Medical Image Segmentation TechniquesAnatomy and Medical Technology
Cited by 9
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Five-dimensional ultrasound system for soft tissue visualization
Deshmukh, N. P., Caban, J. J., Taylor, R. H., Hager, G. D., & Boctor, E. M. (2015) · International Journal of Computer Assisted Radiology and Surgery
Ultrasound Imaging and ElastographyUltrasound in Clinical Applications
Cited by 4
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