Self-Supervised Siamese Learning on Stereo Image Pairs for Depth Estimation in Robotic Surgery-Reference-Cited by-同舟云学术

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Self-Supervised Siamese Learning on Stereo Image Pairs for Depth Estimation in Robotic Surgery

Published:2017-06-25 Issue: Volume: Page:
ISSN:
Container-title:10th Hamlyn Symposium on Medical Robotics 2017
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Author:

Ye M, ,Johns E,Handa A,Zhang L,Pratt P,Yang Guang Zhong, , ,

Publisher

The Hamlyn Centre, Faculty of Engineering, Imperial College London

Cited by 51 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. Advances in Real-Time 3D Reconstruction for Medical Endoscopy;Journal of Imaging;2024-05-14

2. Calibration‐free structured‐light‐based 3D scanning system in laparoscope for robotic surgery;Healthcare Technology Letters;2024-03-08

3. Real-Time and High-Accuracy Switchable Stereo Depth Estimation Method Utilizing Self-Supervised Online Learning Mechanism for MIS;IEEE Transactions on Instrumentation and Measurement;2024

4. Bidirectional Semi-Supervised Dual-Branch CNN for Robust 3D Reconstruction of Stereo Endoscopic Images via Adaptive Cross and Parallel Supervisions;IEEE Transactions on Medical Imaging;2023-11

5. TiDy-PSFs: Computational Imaging with Time-Averaged Dynamic Point-Spread-Functions;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

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