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Gregory D. Hager

Affiliations: 
Yale University, New Haven, CT 
Area:
Computer Science
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"Gregory Hager"
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Parents

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Max Mintz grad student Penn

Children

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Shlomo Argamon research assistant 1990-1994 Yale (LinguisTree)
Jason Corso grad student Johns Hopkins (Neurotree)
Zachary B. Dodds grad student 2000 Yale

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Publications

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Cao K, Xia Y, Yao J, et al. (2023) Large-scale pancreatic cancer detection via non-contrast CT and deep learning. Nature Medicine
Maier-Hein L, Eisenmann M, Sarikaya D, et al. (2021) Surgical data science - from concepts toward clinical translation. Medical Image Analysis. 76: 102306
Chen H, Miao S, Xu D, et al. (2020) Deep hiearchical multi-label classification applied to chest X-ray abnormality taxonomies. Medical Image Analysis. 66: 101811
Abdelaal AE, Avinash A, Kalia M, et al. (2020) A multi-camera, multi-view system for training and skill assessment for robot-assisted surgery. International Journal of Computer Assisted Radiology and Surgery
Malpani A, Vedula SS, Lin HC, et al. (2020) Effect of real-time virtual reality-based teaching cues on learning needle passing for robot-assisted minimally invasive surgery: a randomized controlled trial. International Journal of Computer Assisted Radiology and Surgery
Li X, Sinha A, Ishii M, et al. (2019) Dense Depth Estimation in Monocular Endoscopy with Self-supervised Learning Methods. Ieee Transactions On Medical Imaging
Yi PH, Lin A, Wei J, et al. (2019) Deep-Learning-Based Semantic Labeling for 2D Mammography and Comparison of Complexity for Machine Learning Tasks. Journal of Digital Imaging
Sinha A, Ishii M, Hager GD, et al. (2019) Endoscopic navigation in the clinic: registration in the absence of preoperative imaging. International Journal of Computer Assisted Radiology and Surgery
Sinha A, Billings SD, Reiter A, et al. (2019) The deformable most-likely-point paradigm. Medical Image Analysis. 55: 148-164
Yi PH, Kim TK, Wei J, et al. (2019) Automated semantic labeling of pediatric musculoskeletal radiographs using deep learning. Pediatric Radiology
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