Sparse-then-Dense Alignment based 3D Map Reconstruction Method for Endoscopic Capsule Robots

29 August 2017

Papers citing "Sparse-then-Dense Alignment based 3D Map Reconstruction Method for Endoscopic Capsule Robots"

7 / 7 papers shown

Title
Endo-VMFuseNet: Deep Visual-Magnetic Sensor Fusion Approach for Uncalibrated, Unsynchronized and Asymmetric Endoscopic Capsule Robot Localization Data Mehmet Turan Yasin Almalioglu Hunter B. Gilbert Alp Eren Sari Ufuk Soylu M. Sitti MedIm 33 19 0 18 Sep 2017
Deep EndoVO: A Recurrent Convolutional Neural Network (RCNN) based Visual Odometry Approach for Endoscopic Capsule Robots Mehmet Turan Yasin Almalioglu Helder Araújo E. Konukoglu M. Sitti 33 124 0 22 Aug 2017
A fully dense and globally consistent 3D map reconstruction approach for GI tract to enhance therapeutic relevance of the endoscopic capsule robot Mehmet Turan Yusuf Yigit Pilavci Redhwan Jamiruddin Helder Araújo E. Konukoglu M. Sitti 37 22 0 18 May 2017
Magnetic-Visual Sensor Fusion based Medical SLAM for Endoscopic Capsule Robot Mehmet Turan A. Abdullah Redhwan Jamiruddin Helder Araújo E. Konukoglu M. Sitti MedIm 41 11 0 17 May 2017
A Non-Rigid Map Fusion-Based RGB-Depth SLAM Method for Endoscopic Capsule Robots Mehmet Turan Yasin Almalioglu Helder Araújo E. Konukoglu M. Sitti MedIm 29 70 0 15 May 2017
A Deep Learning Based 6 Degree-of-Freedom Localization Method for Endoscopic Capsule Robots Mehmet Turan Yasin Almalioglu E. Konukoglu M. Sitti MedIm 36 32 0 15 May 2017
Depth Reconstruction and Computer-Aided Polyp Detection in Optical Colonoscopy Video Frames Saad Nadeem Arie Kaufman MedIm 22 19 0 05 Sep 2016