Semantic-SuPer: A Semantic-aware Surgical Perception Framework for
Endoscopic Tissue Identification, Reconstruction, and Tracking

Semantic-SuPer: A Semantic-aware Surgical Perception Framework for Endoscopic Tissue Identification, Reconstruction, and Tracking

29 October 2022

Jingpei Lu

Florian Richter

Papers citing "Semantic-SuPer: A Semantic-aware Surgical Perception Framework for Endoscopic Tissue Identification, Reconstruction, and Tracking"

7 / 7 papers shown

Title
Tracking Everything in Robotic-Assisted Surgery Bohan Zhan Wang Zhao Yi Fang Bo Du Francisco Vasconcelos Danail Stoyanov Daniel Elson Baoru Huang 51 3 0 29 Sep 2024
Dense 3D Reconstruction Through Lidar: A Comparative Study on Ex-vivo Porcine Tissue Guido Caccianiga Julian Nubert Marco Hutter K. J. Kuchenbecker 34 1 0 19 Jan 2024
DefGoalNet: Contextual Goal Learning from Demonstrations For Deformable Object Manipulation Bao Thach Tanner Watts S. Ho Tucker Hermans Alan Kuntz 31 0 0 25 Sep 2023
SENDD: Sparse Efficient Neural Depth and Deformation for Tissue Tracking Adam Schmidt Omid Mohareri S. DiMaio Septimiu E. Salcudean MedIm 27 11 0 10 May 2023
DeformerNet: Learning Bimanual Manipulation of 3D Deformable Objects Bao Thach Brian Y. Cho Shing-Hei Ho Tucker Hermans Alan Kuntz 23 4 0 08 May 2023
From Bench to Bedside: The First Live Robotic Surgery on the dVRK to Enable Remote Telesurgery with Motion Scaling Florian Richter E. Funk Won Seo Park Ryan K. Orosco Michael C. Yip 35 9 0 24 Sep 2021
SuPer Deep: A Surgical Perception Framework for Robotic Tissue Manipulation using Deep Learning for Feature Extraction Jingpei Lu Ambareesh Jayakumari Florian Richter Yang Li Michael C. Yip MedIm 43 62 0 07 Mar 2020