ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2305.06477
  4. Cited By
SENDD: Sparse Efficient Neural Depth and Deformation for Tissue Tracking

SENDD: Sparse Efficient Neural Depth and Deformation for Tissue Tracking

10 May 2023
Adam Schmidt
Omid Mohareri
S. DiMaio
Septimiu E. Salcudean
    MedIm
ArXivPDFHTML

Papers citing "SENDD: Sparse Efficient Neural Depth and Deformation for Tissue Tracking"

13 / 13 papers shown
Title
Tracking Everything in Robotic-Assisted Surgery
Tracking Everything in Robotic-Assisted Surgery
Bohan Zhan
Wang Zhao
Yi Fang
Bo Du
Francisco Vasconcelos
Danail Stoyanov
Daniel Elson
Baoru Huang
70
3
0
29 Sep 2024
BDIS: Bayesian Dense Inverse Searching Method for Real-Time Stereo
  Surgical Image Matching
BDIS: Bayesian Dense Inverse Searching Method for Real-Time Stereo Surgical Image Matching
Jingwei Song
Qiuchen Zhu
Jianyu Lin
Maani Ghaffari
3DV
34
10
0
06 May 2022
SuperPoint features in endoscopy
SuperPoint features in endoscopy
O. L. Barbed
F. Chadebecq
Javier Morlana
José M.M. Montiel
Ana C. Murillo
63
8
0
08 Mar 2022
Direct and Sparse Deformable Tracking
Direct and Sparse Deformable Tracking
J. Lamarca
Juan J. Gómez Rodríguez
Juan D. Tardós
José M.M. Montiel
85
9
0
15 Sep 2021
SD-DefSLAM: Semi-Direct Monocular SLAM for Deformable and Intracorporeal
  Scenes
SD-DefSLAM: Semi-Direct Monocular SLAM for Deformable and Intracorporeal Scenes
J. Rodríguez
J. Lamarca
Javier Morlana
Juan D. Tardós
José M.M. Montiel
55
29
0
19 Oct 2020
Fourier Features Let Networks Learn High Frequency Functions in Low
  Dimensional Domains
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
Matthew Tancik
Pratul P. Srinivasan
B. Mildenhall
Sara Fridovich-Keil
N. Raghavan
Utkarsh Singhal
R. Ramamoorthi
Jonathan T. Barron
Ren Ng
116
2,414
0
18 Jun 2020
RAFT: Recurrent All-Pairs Field Transforms for Optical Flow
RAFT: Recurrent All-Pairs Field Transforms for Optical Flow
Zachary Teed
Jia Deng
MDE
214
2,619
0
26 Mar 2020
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
B. Mildenhall
Pratul P. Srinivasan
Matthew Tancik
Jonathan T. Barron
R. Ramamoorthi
Ren Ng
122
2,595
0
19 Mar 2020
SuPer Deep: A Surgical Perception Framework for Robotic Tissue
  Manipulation using Deep Learning for Feature Extraction
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
63
63
0
07 Mar 2020
SuperGlue: Learning Feature Matching with Graph Neural Networks
SuperGlue: Learning Feature Matching with Graph Neural Networks
Paul-Edouard Sarlin
Daniel DeTone
Tomasz Malisiewicz
Andrew Rabinovich
3DPC
OffRL
102
1,932
0
26 Nov 2019
SuPer: A Surgical Perception Framework for Endoscopic Tissue
  Manipulation with Surgical Robotics
SuPer: A Surgical Perception Framework for Endoscopic Tissue Manipulation with Surgical Robotics
Yang Li
Florian Richter
Jingpei Lu
E. Funk
Ryan K. Orosco
Jianke Zhu
Michael C. Yip
52
104
0
11 Sep 2019
DefSLAM: Tracking and Mapping of Deforming Scenes from Monocular
  Sequences
DefSLAM: Tracking and Mapping of Deforming Scenes from Monocular Sequences
J. Lamarca
Shaifali Parashar
Adrien Bartoli
José M.M. Montiel
45
87
0
20 Aug 2019
MIS-SLAM: Real-time Large Scale Dense Deformable SLAM System in Minimal
  Invasive Surgery Based on Heterogeneous Computing
MIS-SLAM: Real-time Large Scale Dense Deformable SLAM System in Minimal Invasive Surgery Based on Heterogeneous Computing
Jingwei Song
Jun Wang
Liang Zhao
Shoudong Huang
G. Dissanayake
3DGS
38
99
0
06 Mar 2018
1