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Computer Science

D-Index
96
Citations
39706
World Ranking
434
National Ranking
239

Overview

Gregory D. Hager is affiliated with Johns Hopkins University in the United States. Their research spans an interdisciplinary range of fields including Medicine, Computer Science, and Engineering, with notable focus areas such as Computer Vision and Pattern Recognition, Surgery, Biomedical Engineering, Artificial Intelligence, and Radiology, Nuclear Medicine and Imaging.

Their work encompasses several main topics related to surgical technology and medical imaging, including Surgical Simulation and Training, Robotics and Sensor-Based Localization, Augmented Reality Applications, Artificial Intelligence in Healthcare and Education, Anatomy and Medical Technology, Advanced Vision and Imaging, and Soft Robotics and Applications.

Frequent co-authors in their research include Masaru Ishii, Mathias Unberath, Russell H. Taylor, S. Swaroop Vedula, and Roger D. Soberanis-Mukul, reflecting a collaborative approach across various specialties and institutions.

Gregory D. Hager has published extensively in several academic venues, with numerous contributions to arXiv (Cornell University), where 27 of their works appear. Other notable publication venues include the International Journal of Computer Assisted Radiology and Surgery, IEEE Transactions on Medical Robotics and Bionics, Scientific Reports, and Medical Image Analysis.

Some of their recent publications are:

  • Large-scale pancreatic cancer detection via non-contrast CT and deep learning, 2023, Nature Medicine
  • On the use of simulation in robotics: Opportunities, challenges, and suggestions for moving forward, 2020, Proceedings of the National Academy of Sciences
  • SAGES consensus recommendations on an annotation framework for surgical video, 2021, Surgical Endoscopy
  • Impact of data on generalization of AI for surgical intelligence applications, 2020, Scientific Reports
  • A Delphi consensus statement for digital surgery, 2022, npj Digital Medicine

Best Publications

  • A tutorial on visual servo control

    S. Hutchinson;G.D. Hager;P.I. Corke

  • Temporal Convolutional Networks for Action Segmentation and Detection

    Colin Lea;Michael D. Flynn;Rene Vidal;Austin Reiter

  • Advances in computational stereo

    M.Z. Brown;D. Burschka;G.D. Hager

  • Efficient region tracking with parametric models of geometry and illumination

    G.D. Hager;P.N. Belhumeur

  • Fast and globally convergent pose estimation from video images

    C.-P. Lu;G.D. Hager;E. Mjolsness

  • Temporal Convolutional Networks: A Unified Approach to Action Segmentation

    Colin Lea;René Vidal;Austin Reiter;Gregory D. Hager

  • Histograms of oriented optical flow and Binet-Cauchy kernels on nonlinear dynamical systems for the recognition of human actions

    Rizwan Chaudhry;Avinash Ravichandran;Gregory Hager;Rene Vidal

  • Adaptive and generic corner detection based on the accelerated segment test

    Elmar Mair;Gregory D. Hager;Darius Burschka;Michael Suppa

  • Probabilistic data association methods for tracking complex visual objects

    C. Rasmussen;G.D. Hager

  • Vision-assisted control for manipulation using virtual fixtures

    A. Bettini;P. Marayong;S. Lang;A.M. Okamura

  • Surgical data science for next-generation interventions.

    Lena Maier-Hein;Swaroop S. Vedula;Stefanie Speidel;Nassir Navab;Nassir Navab

  • Multiple kernel tracking with SSD

    G.D. Hager;M. Dewan;C.V. Stewart

  • Real-time tracking of image regions with changes in geometry and illumination

    G.D. Hager;P.N. Belhumeur

  • Augmented reality during robot-assisted laparoscopic partial nephrectomy: toward real-time 3D-CT to stereoscopic video registration.

    Li Ming Su;Balazs P. Vagvolgyi;Rahul Agarwal;Carol E. Reiley

  • Towards automatic skill evaluation: detection and segmentation of robot-assisted surgical motions.

    Henry C. Lin;Izhak Shafran;David Yuh;Gregory D. Hager

  • Surgical Data Science - from Concepts toward Clinical Translation

    Lena Maier-Hein;Lena Maier-Hein;Matthias Eisenmann;Duygu Sarikaya;Duygu Sarikaya;Keno März

  • A modular system for robust positioning using feedback from stereo vision

    G.D. Hager

  • Review of methods for objective surgical skill evaluation

    Carol E. Reiley;Henry C. Lin;David D. Yuh;Gregory D. Hager

  • Segmental Spatiotemporal CNNs for Fine-Grained Action Segmentation

    Colin Lea;Austin Reiter;René Vidal;Gregory D. Hager

  • Acquisition of three-dimensional images by an active stereo technique using locally unique patterns

    Gregory D. Hager;Eliot Leonard Wegbreit

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

    Nick M Murray;Mathias Unberath;Gregory D Hager;Ferdinand K Hui

  • Real-time vision-based robot localization

    S. Aitya;G. Hager

  • X Vision

    Gregory D. Hager;Kentaro Toyama

Frequent Co-Authors

Russell H. Taylor
Russell H. Taylor Johns Hopkins University
Emad M. Boctor
Emad M. Boctor Johns Hopkins University
Gabor Fichtinger
Gabor Fichtinger Queen's University
Allison M. Okamura
Allison M. Okamura Stanford University
Jason J. Corso
Jason J. Corso University of Michigan–Ann Arbor
René Vidal
René Vidal University of Pennsylvania
Sanjeev Khudanpur
Sanjeev Khudanpur Johns Hopkins University
Kentaro Toyama
Kentaro Toyama University of Michigan–Ann Arbor
Nassir Navab
Nassir Navab Technical University of Munich

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