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Related papers: Towards Augmented Reality-based Suturing in Monocu…

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One of the major challenges in Minimally Invasive Surgery (MIS) such as laparoscopy is the lack of depth perception. In recent years, laparoscopic scene tracking and surface reconstruction has been a focus of investigation to provide rich…

Computer Vision and Pattern Recognition · Computer Science 2017-03-06 Long Chen , Wen Tang , Nigel W. John , Tao Ruan Wan , Jian Jun Zhang

The potential of Augmented Reality (AR) technology to assist minimally invasive surgeries (MIS) lies in its computational performance and accuracy in dealing with challenging MIS scenes. Even with the latest hardware and software…

Computer Vision and Pattern Recognition · Computer Science 2017-08-04 Long Chen , Wen Tang , Nigel W. John

In image-assisted minimally invasive surgeries (MIS), understanding surgical scenes is vital for real-time feedback to surgeons, skill evaluation, and improving outcomes through collaborative human-robot procedures. Within this context, the…

Computer Vision and Pattern Recognition · Computer Science 2024-12-13 Mithun Parab , Pranay Lendave , Jiyoung Kim , Thi Quynh Dan Nguyen , Palash Ingle

The utilisation of deep learning segmentation algorithms that learn complex organs and tissue patterns and extract essential regions of interest from the noisy background to improve the visual ability for medical image diagnosis has…

Computer Vision and Pattern Recognition · Computer Science 2023-11-03 Yanming Guo

Arthroscopy is a minimally invasive surgical procedure used to diagnose and treat joint problems. The clinical workflow of arthroscopy typically involves inserting an arthroscope into the joint through a small incision, during which…

Computer Vision and Pattern Recognition · Computer Science 2024-10-02 Hongchao Shu , Mingxu Liu , Lalithkumar Seenivasan , Suxi Gu , Ping-Cheng Ku , Jonathan Knopf , Russell Taylor , Mathias Unberath

The current apprenticeship model for surgical training requires a high level of supervision, which does not scale well to meet the growing need for more surgeons. Many endoscopic procedures are directly taught in the operating room (OR)…

Human-Computer Interaction · Computer Science 2025-06-30 Jumanh Atoum , Jinkyung Park , Mamtaj Akter , Nicholas Kavoussi , Pamela Wisniewski , Jie Ying Wu

Minimally invasive surgery (MIS) has revolutionized many procedures and led to reduced recovery time and risk of patient injury. However, MIS poses additional complexity and burden on surgical teams. Data-driven surgical vision algorithms…

Computer Vision and Pattern Recognition · Computer Science 2025-02-11 Oluwatosin Alabi , Tom Vercauteren , Miaojing Shi

Minimally invasive surgery (MIS) offers several advantages including minimum tissue injury and blood loss, and quick recovery time, however, it imposes some limitations on surgeons ability. Among others such as lack of tactile or haptic…

Robotics · Computer Science 2021-09-07 Shahnewaz Ali , Yaqub Jonmohamadi , Ross Crawford , Davide Fontanarosa , Ajay K. Pandey

Surgical navigation provides real-time guidance by estimating the pose of patient anatomy and surgical instruments to visualize relevant intraoperative information. In conventional systems, instruments are typically tracked using fiducial…

Human-Computer Interaction · Computer Science 2026-03-10 Jiaming Zhang , Mingxu Liu , Hongchao Shu , Ruixing Liang , Yihao Liu , Ojas Taskar , Amir Kheradmand , Mehran Armand , Alejandro Martin-Gomez

This paper tackles instrument tracking and 3D visualization challenges in minimally invasive surgery (MIS), crucial for computer-assisted interventions. Conventional and robot-assisted MIS encounter issues with limited 2D camera projections…

Computer Vision and Pattern Recognition · Computer Science 2024-01-19 Shubhangi Nema , Abhishek Mathur , Leena Vachhani

Minimally invasive surgery is a surgical intervention used to examine the organs inside the abdomen and has been widely used due to its effectiveness over open surgery. Due to the hardware improvements such as high definition cameras, this…

Image and Video Processing · Electrical Eng. & Systems 2021-08-04 Debesh Jha , Sharib Ali , Nikhil Kumar Tomar , Michael A. Riegler , Dag Johansen , Håvard D. Johansen , Pål Halvorsen

Knee arthroscopy is a minimally invasive surgical (MIS) procedure which is performed to treat knee-joint ailment. Lack of visual information of the surgical site obtained from miniaturized cameras make this surgical procedure more complex.…

Image and Video Processing · Electrical Eng. & Systems 2024-09-04 Shahnewaz Ali , Yaqub Jonmohamadi , Yu Takeda , Jonathan Roberts , Ross Crawford , Cameron Brown , Ajay K. Pandey

Purpose: Monocular depth estimation (MDE) is vital for scene understanding in minimally invasive surgery (MIS). However, endoscopic video sequences are often contaminated by smoke, specular reflections, blur, and occlusions, limiting the…

Computer Vision and Pattern Recognition · Computer Science 2026-03-05 Muhammad Asad , Emanuele Colleoni , Pritesh Mehta , Nicolas Toussaint , Ricardo Sanchez-Matilla , Maria Robu , Faisal Bashir , Rahim Mohammadi , Imanol Luengo , Danail Stoyanov

Recovering 3D human mesh from monocular images is a popular topic in computer vision and has a wide range of applications. This paper aims to estimate 3D mesh of multiple body parts (e.g., body, hands) with large-scale differences from a…

Computer Vision and Pattern Recognition · Computer Science 2020-10-28 Yu Sun , Qian Bao , Wu Liu , Wenpeng Gao , Yili Fu , Chuang Gan , Tao Mei

Background and aim: Image registration and alignment are the main limitations of augmented reality-based knee replacement surgery. This research aims to decrease the registration error, eliminate outcomes that are trapped in local minima to…

Computer Vision and Pattern Recognition · Computer Science 2021-04-14 Nitish Maharjan , Abeer Alsadoon , P. W. C. Prasad , Salma Abdullah , Tarik A. Rashid

Objective: The computation of anatomical information and laparoscope position is a fundamental block of surgical navigation in Minimally Invasive Surgery (MIS). Recovering a dense 3D structure of surgical scene using visual cues remains a…

Computer Vision and Pattern Recognition · Computer Science 2022-11-29 Ruofeng Wei , Bin Li , Hangjie Mo , Bo Lu , Yonghao Long , Bohan Yang , Qi Dou , Yunhui Liu , Dong Sun

Accurate needle placement in spine interventions is critical for effective pain management, yet it depends on reliable identification of anatomical landmarks and careful trajectory planning. Conventional imaging guidance often relies both…

Human-Computer Interaction · Computer Science 2026-03-24 Tianyu Song , Felix Pabst , Feng Li , Yordanka Velikova , Miruna-Alexandra Gafencu , Yuan Bi , Ulrich Eck , Nassir Navab

Efficient intravascular access in trauma and critical care significantly impacts patient outcomes. However, the availability of skilled medical personnel in austere environments is often limited. Autonomous robotic ultrasound systems can…

Computer Vision and Pattern Recognition · Computer Science 2024-08-01 Rohini Banerjee , Cecilia G. Morales , Artur Dubrawski

Surgical knot tying is one of the most fundamental and important procedures in surgery, and a high-quality knot can significantly benefit the postoperative recovery of the patient. However, a longtime operation may easily cause fatigue to…

Robotics · Computer Science 2020-07-03 Bo Lu , Wei Chen , Yue-Ming Jin , Dandan Zhang , Qi Dou , Henry K. Chu , Pheng-Ann Heng , Yun-Hui Liu

Chinese acupuncture practitioners primarily depend on muscle memory and tactile feedback to insert needles and accurately target acupuncture points, as the current workflow lacks imaging modalities and visual aids. Consequently, new…

Human-Computer Interaction · Computer Science 2025-04-04 Xinkai Wang , Yue Yang , Kehong Zhou , Xue Xie , Lifeng Zhu , Aiguo Song , Bruce Daniel
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