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Gregory D Hager

Showing results (71-80 of 110) with videos related to

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Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|May 12, 2006
Automatic detection and segmentation of robot-assisted surgical motionsHenry C Lin, Izhak Shafran, Todd E Murphy, et al.
IEEE Transactions on Medical Imaging|July 12, 2018
Evaluation and Stability Analysis of Video-Based Navigation System for Functional Endoscopic Sinus Surgery on In Vivo Clinical DataSimon Leonard, Ayushi Sinha, Austin Reiter, et al.
Plos One|December 27, 2014
Elastography using multi-stream GPU: an application to online tracked ultrasound elastography, in-vivo and the da Vinci Surgical SystemNishikant P Deshmukh, Hyun Jae Kang, Seth D Billings, et al.
Studies in Health Technology and Informatics|April 9, 2008
Automatic recognition of surgical motions using statistical modeling for capturing variabilityCarol E Reiley, Henry C Lin, Balakrishnan Varadarajan, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 19, 2011
Unified detection and tracking in retinal microsurgeryRaphael Sznitman, Anasuya Basu, Rogerio Richa, et al.
Skeletal Radiology|May 17, 2020
Automated detection and classification of shoulder arthroplasty models using deep learningPaul H Yi, Tae Kyung Kim, Jinchi Wei, et al.
Scientific Reports|December 18, 2020
Impact of data on generalization of AI for surgical intelligence applicationsOmri Bar, Daniel Neimark, Maya Zohar, et al.
Cognitive Science|January 23, 2022
Characterizing the Details of Spatial Construction: Cognitive Constraints and VariabilityAmy Lynne Shelton, E Emory Davis, Cathryn S Cortesa, et al.
Ophthalmology. Glaucoma|January 31, 2024
Opportunities for Improving Glaucoma Clinical Trials via Deep Learning-Based Identification of Patients with Low Visual Field VariabilityRuolin Wang, Chris Bradley, Patrick Herbert, et al.
International Journal of Computer Assisted Radiology and Surgery|May 1, 2019
Segmenting and classifying activities in robot-assisted surgery with recurrent neural networksRobert DiPietro, Narges Ahmidi, Anand Malpani, et al.
Pageof 11

Showing results (71-80 of 110) with videos related to

Sort By:
Pageof 11
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|May 12, 2006
Automatic detection and segmentation of robot-assisted surgical motionsHenry C Lin, Izhak Shafran, Todd E Murphy, et al.
IEEE Transactions on Medical Imaging|July 12, 2018
Evaluation and Stability Analysis of Video-Based Navigation System for Functional Endoscopic Sinus Surgery on In Vivo Clinical DataSimon Leonard, Ayushi Sinha, Austin Reiter, et al.
Plos One|December 27, 2014
Elastography using multi-stream GPU: an application to online tracked ultrasound elastography, in-vivo and the da Vinci Surgical SystemNishikant P Deshmukh, Hyun Jae Kang, Seth D Billings, et al.
Studies in Health Technology and Informatics|April 9, 2008
Automatic recognition of surgical motions using statistical modeling for capturing variabilityCarol E Reiley, Henry C Lin, Balakrishnan Varadarajan, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 19, 2011
Unified detection and tracking in retinal microsurgeryRaphael Sznitman, Anasuya Basu, Rogerio Richa, et al.
Skeletal Radiology|May 17, 2020
Automated detection and classification of shoulder arthroplasty models using deep learningPaul H Yi, Tae Kyung Kim, Jinchi Wei, et al.
Scientific Reports|December 18, 2020
Impact of data on generalization of AI for surgical intelligence applicationsOmri Bar, Daniel Neimark, Maya Zohar, et al.
Cognitive Science|January 23, 2022
Characterizing the Details of Spatial Construction: Cognitive Constraints and VariabilityAmy Lynne Shelton, E Emory Davis, Cathryn S Cortesa, et al.
Ophthalmology. Glaucoma|January 31, 2024
Opportunities for Improving Glaucoma Clinical Trials via Deep Learning-Based Identification of Patients with Low Visual Field VariabilityRuolin Wang, Chris Bradley, Patrick Herbert, et al.
International Journal of Computer Assisted Radiology and Surgery|May 1, 2019
Segmenting and classifying activities in robot-assisted surgery with recurrent neural networksRobert DiPietro, Narges Ahmidi, Anand Malpani, et al.
Pageof 11