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32 та иш

Иш: Real-time deep learning semantic segmentation during intra-operative surgery for 3D augmented reality assistance

  1. Deep Residual Learning for Image Recognition

    Kaiming He, Xiangyu Zhang, Shaoqing Ren +1

    Мақола201661 иқтибос
    ABI

  2. Deep learning

    Yann LeCun, Yoshua Bengio, Geoffrey E. Hinton

    Шарҳ мақола201536 иқтибос
    ABI

  3. U-Net: Convolutional Networks for Biomedical Image Segmentation

    Olaf Ronneberger, Philipp Fischer, Thomas Brox

    Боб201532 иқтибос
    ABI

  4. Сарлавҳасиз

    Бошқа9 иқтибос
    ABI

  5. A guide to deep learning in healthcare

    Andre Esteva, Alexandre Robicquet, Bharath Ramsundar +7

    Шарҳ мақола20184 иқтибос
    ABI

  6. Hierarchical fracture classification of proximal femur X-Ray images using a multistage Deep Learning approach

    Leonardo Tanzi, Enrico Vezzetti, Rodrigo Moreno +3

    Мақола20204 иқтибос
    ABI

  7. Machine learning applications in cancer prognosis and prediction

    Κωνσταντίνα Κούρου, Themis P. Exarchos, Konstantinos Exarchos +2

    Шарҳ мақола20143 иқтибос
    ABI

  8. Pyramid Scene Parsing Network

    Hengshuang Zhao, Jianping Shi, Xiaojuan Qi +2

    Мақола20173 иқтибос
    ABI

  9. X-Ray Bone Fracture Classification Using Deep Learning: A Baseline for Designing a Reliable Approach

    Leonardo Tanzi, Enrico Vezzetti, Rodrigo Moreno +1

    Мақола20203 иқтибос
    ABI

  10. <scp>Intraoperative</scp> surgery room management: A deep learning perspective

    Leonardo Tanzi, Pietro Piazzolla, Enrico Vezzetti

    Шарҳ мақолаSurgical Simulation and TrainingInternational Journal of Medical Robotics and Computer Assisted Surgery20203 иқтибос
    ABI

  11. Topological structural analysis of digitized binary images by border following

    Satoshi Suzuki, KeiichiA be

    Мақола19852 иқтибос
    ABI

  12. EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos

    Andru Putra Twinanda, Sherif Shehata, Didier Mutter +3

    Мақола20162 иқтибос
    ABI

  13. Parsing human skeletons in an operating room

    Vasileios Belagiannis, Xinchao Wang, Horesh Beny Ben Shitrit +9

    Мақола20162 иқтибос
    ABI

  14. The status of augmented reality in laparoscopic surgery as of 2016

    Sylvain Bernhardt, Stéphane Nicolau, Luc Soler +1

    Шарҳ мақола20172 иқтибос
    ABI

  15. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

    Andrew Howard, Menglong Zhu, Bo Chen +5

    Препринт20172 иқтибос
    ABI

  16. SV-RCNet: Workflow Recognition From Surgical Videos Using Recurrent Convolutional Network

    Yueming Jin, Qi Dou, Hao Chen +4

    Мақола20172 иқтибос
    ABI

  17. Three-dimensional Elastic Augmented-reality Robot-assisted Radical Prostatectomy Using Hyperaccuracy Three-dimensional Reconstruction Technology: A Step Further in the Identification of Capsular Involvement

    Francesco Porpiglia, Enrico Checcucci, Daniele Amparore +8

    Мақола20192 иқтибос
    ABI

  18. Fusing information from multiple 2D depth cameras for 3D human pose estimation in the operating room

    Lasse Hansen, Marlin Siebert, Jasper Diesel +1

    Мақола20192 иқтибос
    ABI

  19. Spiking Neural Networks for early prediction in human–robot collaboration

    Tian Zhou, Juan Wachs

    Мақола20192 иқтибос
    ABI

  20. 3D Soft-Tissue Prediction Methodologies for Orthognathic Surgery—A Literature Review

    Elena Carlotta Olivetti, Sara Nicotera, Federica Marcolin +4

    Мақола20192 иқтибос
    ABI

  21. 3D augmentation of the surgical video stream: Toward a modular approach

    Marco Gribaudo, Pietro Piazzolla, Francesco Porpiglia +2

    Мақола20202 иқтибос
    ABI

  22. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  23. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  24. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  25. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI