On the Uncertain Single-View Depths in Colonoscopies-Reference-Cited by-同舟云学术

On the Uncertain Single-View Depths in Colonoscopies

Published:2022 Issue: Volume: Page:130-140
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Rodriguez-Puigvert Javier,Recasens David,Civera Javier,Martinez-Cantin Ruben

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-16437-8_13

Reference37 articles.

1. Azagra, P., et al.: Endomapper dataset of complete calibrated endoscopy procedures (2022). https://arxiv.org/abs/2204.14240

2. Chen, R.J., Bobrow, T.L., Athey, T., Mahmood, F., Durr, N.J.: SLAM endoscopy enhanced by adversarial depth prediction. In: KDD Workshop on Applied Data Science for Healthcare (2019)

3. Lecture Notes in Computer Science;K Cheng,2021

4. Durrant-Whyte, H., Bailey, T.: Simultaneous localization and mapping: Part I. IEEE Robot. Autom. Mag. 13(2), 99–110 (2006)

5. Eigen, D., Puhrsch, C., Fergus, R.: Depth map prediction from a single image using a multi-scale deep network. In: NeurIPS (2014)

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. SimCol3D — 3D reconstruction during colonoscopy challenge;Medical Image Analysis;2024-08

2. Using Specularities to Boost Non-Rigid Structure-from-Motion;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. A Unified Approach to Learning with Label Noise and Unsupervised Confidence Approximation;Lecture Notes in Computer Science;2024

4. Unsupervised Confidence Approximation: Trustworthy Learning from Noisy Labelled Data;2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW);2023-10-02

5. LightDepth: Single-View Depth Self-Supervision from Illumination Decline;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01