A Kinematic Bottleneck Approach For Pose Regression of Flexible Surgical
Instruments directly from Images

A Kinematic Bottleneck Approach For Pose Regression of Flexible Surgical Instruments directly from Images

28 February 2021

Elena De Momi

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Papers citing "A Kinematic Bottleneck Approach For Pose Regression of Flexible Surgical Instruments directly from Images"

7 / 7 papers shown

Title
Towards Unsupervised Learning for Instrument Segmentation in Robotic Surgery with Cycle-Consistent Adversarial Networks D. Pakhomov Wei Shen Nassir Navab MedIm GAN 75 20 0 09 Jul 2020
Motion2Vec: Semi-Supervised Representation Learning from Surgical Videos A. Tanwani P. Sermanet Andy Yan Raghav V. Anand Mariano Phielipp Ken Goldberg SSL 58 36 0 31 May 2020
Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild Shangzhe Wu Christian Rupprecht Andrea Vedaldi OCL 87 310 0 25 Nov 2019
Learning from a tiny dataset of manual annotations: a teacher/student approach for surgical phase recognition Tong Yu Didier Mutter J. Marescaux N. Padoy 69 48 0 30 Nov 2018
Image Inpainting for Irregular Holes Using Partial Convolutions Guilin Liu F. Reda Kevin J. Shih Ting-Chun Wang Andrew Tao Bryan Catanzaro 222 1,935 0 20 Apr 2018
Neural 3D Mesh Renderer Hiroharu Kato Yoshitaka Ushiku Tatsuya Harada 3DV 82 1,046 0 20 Nov 2017
Concurrent Segmentation and Localization for Tracking of Surgical Instruments Iro Laina Nicola Rieke Christian Rupprecht Josué Page Vizcaíno Abouzar Eslami Federico Tombari Nassir Navab 80 148 0 30 Mar 2017