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In the realm of robot-assisted minimally invasive surgery, dynamic scene reconstruction can significantly enhance downstream tasks and improve surgical outcomes. Neural Radiance Fields (NeRF)-based methods have recently risen to prominence…

Computer Vision and Pattern Recognition · Computer Science 2024-04-03 Yiming Huang , Beilei Cui , Long Bai , Ziqi Guo , Mengya Xu , Mobarakol Islam , Hongliang Ren

Accurate reconstruction of soft tissue is crucial for advancing automation in image-guided robotic surgery. The recent 3D Gaussian Splatting (3DGS) techniques and their variants, 4DGS, achieve high-quality renderings of dynamic surgical…

Computer Vision and Pattern Recognition · Computer Science 2025-07-01 Yiming Huang , Long Bai , Beilei Cui , Yanheng Li , Tong Chen , Jie Wang , Jinlin Wu , Zhen Lei , Hongbin Liu , Hongliang Ren

Robotic surgery represents a major breakthrough in medical interventions, which has revolutionized surgical procedures. However, the high cost and limited accessibility of robotic surgery systems pose significant challenges for training…

Robotics · Computer Science 2026-04-28 Walid Shaker , Mustafa Suphi Erden

In robot-assisted minimally invasive surgery, high-fidelity dynamic endoscopic scene reconstruction and simulation are crucial to enhancing downstream tasks and advancing surgical outcomes. However, existing methods primarily focus on…

Computer Vision and Pattern Recognition · Computer Science 2026-05-18 Changjing Liu , Yiming Huang , Long Bai , Beilei Cui , Hongliang Ren

Simulated training platforms offer a suitable avenue for surgical students and professionals to build and improve upon their skills, without the hassle of traditional training methods. To enhance the degree of realistic interaction…

Robotics · Computer Science 2023-08-16 Soroush Sadeghnejad , Mojtaba Esfandiari , Farshad Khadivar

Gastrointestinal (GI) pathologies are periodically screened, biopsied, and resected using surgical tools. Usually the procedures and the treated or resected areas are not specifically tracked or analysed during or after colonoscopies.…

Colorectal cancer is one of the most common cancers in the world. While colonoscopy is an effective screening technique, navigating an endoscope through the colon to detect polyps is challenging. A 3D map of the observed surfaces could…

Accurate 3D reconstruction of colonoscopy data, accounting for complex peristaltic movements, is crucial for advanced surgical navigation and retrospective diagnostics. While recent novel view synthesis and 3D reconstruction methods have…

Computer Vision and Pattern Recognition · Computer Science 2026-03-10 Weronika Smolak-Dyżewska , Joanna Kaleta , Diego Dall'Alba , Przemysław Spurek

This paper presents GARD, an upper limb end-effector rehabilitation device developed for stroke patients. GARD offers assistance force along or towards a 2D trajectory during physical therapy sessions. GARD employs a non-backdrivable…

Robotics · Computer Science 2024-12-09 Fulan Li , Yunfei Guo , Wenda Xu , Weide Zhang , Fangyun Zhao , Baiyu Wang , Huaguang Du , Chengkun Zhang

Abstract. Purpose: This paper presents a scheme for generating virtual intraoperative CT scans in order to improve surgical completeness in Endoscopic Sinus Surgeries (ESS). Approach: The work presents three methods, the tip motion-based,…

Image and Video Processing · Electrical Eng. & Systems 2021-12-07 Yangming Li , Neeraja Konuthula , Ian M. Humphreys , Kris Moe , Blake Hannaford , Randall Bly

Robotic-assisted Minimally Invasive Surgery (RMIS) can benefit from the automation of common, repetitive or well-defined but ergonomically difficult tasks. One such task is the scanning of a pick-up endomicroscopy probe over a complex,…

Robotics · Computer Science 2018-03-05 Lin Zhang , Menglong Ye , Petros Giataganas , Michael Hughes , Guang-Zhong Yang

Accurate 3D reconstruction of dynamic surgical scenes from endoscopic video is essential for robotic-assisted surgery. While recent 3D Gaussian Splatting methods have shown promise in achieving high-quality reconstructions with fast…

Computer Vision and Pattern Recognition · Computer Science 2024-10-15 Jialei Chen , Xin Zhang , Mobarakol Islam , Francisco Vasconcelos , Danail Stoyanov , Daniel S. Elson , Baoru Huang

We aim to track the endoscope location inside the surgical scene and provide 3D reconstruction, in real-time, from the sole input of the image sequence captured by the monocular endoscope. This information offers new possibilities for…

Computer Vision and Pattern Recognition · Computer Science 2016-08-30 Nader Mahmoud , Iñigo Cirauqui , Alexandre Hostettler , Christophe Doignon , Luc Soler , Jacques Marescaux , J. M. M. Montiel

Accurate segmentation of polyps in colonoscopy images is essential for early-stage diagnosis and management of colorectal cancer. Despite advancements in deep learning for polyp segmentation, enduring limitations persist. The edges of…

Computer Vision and Pattern Recognition · Computer Science 2024-05-28 Mengqi Lei , Xin Wang

Esophageal cancer remains a highly aggressive malignancy with low survival rates, requiring advanced surgical interventions like esophagectomy. Traditional manual techniques, including circular staplers, face challenges such as limited…

Precise, consistent, and reliable positioning is crucial for a multitude of uses. In order to achieve high precision global positioning services, multi-sensor fusion techniques, such as the Global Navigation Satellite System (GNSS)/Inertial…

Systems and Control · Electrical Eng. & Systems 2024-09-06 Bo Xu , Shoujian Zhang , Jingrong Wang , Jiancheng Li

The escalating global mortality and morbidity rates associated with gastrointestinal (GI) bleeding, compounded by the complexities and limitations of traditional endoscopic methods, underscore the urgent need for a critical review of…

Computer Vision and Pattern Recognition · Computer Science 2024-09-04 Tanisha Singh , Shreshtha Jha , Nidhi Bhatt , Palak Handa , Nidhi Goel , Sreedevi Indu

Reconstructing deformable tissues from endoscopic videos is essential in many downstream surgical applications. However, existing methods suffer from slow rendering speed, greatly limiting their practical use. In this paper, we introduce…

Computer Vision and Pattern Recognition · Computer Science 2024-02-14 Yifan Liu , Chenxin Li , Chen Yang , Yixuan Yuan

The accurate 3D reconstruction of deformable soft body tissues from endoscopic videos is a pivotal challenge in medical applications such as VR surgery and medical image analysis. Existing methods often struggle with accuracy and the…

Computer Vision and Pattern Recognition · Computer Science 2024-01-25 Yangsen Chen , Hao Wang

Reconstructing deformable endoscopic tissues is crucial for achieving robot-assisted surgery. However, 3D Gaussian Splatting-based approaches encounter challenges in achieving consistent tissue surface reconstruction, while existing…

Computer Vision and Pattern Recognition · Computer Science 2026-02-25 Yangsen Chen , Hao Wang