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Complete reconstruction of surgical scenes is crucial for robot-assisted surgery (RAS). Deep depth estimation is promising but existing works struggle with depth discontinuities, resulting in noisy predictions at object boundaries and do…

Computer Vision and Pattern Recognition · Computer Science 2025-03-31 Xu Wang , Shuai Zhang , Baoru Huang , Danail Stoyanov , Evangelos B. Mazomenos

Endoscopes featuring a miniaturized design have significantly enhanced operational flexibility, portability, and diagnostic capability while substantially reducing the invasiveness of medical procedures. Recently, single-use endoscopes…

Image and Video Processing · Electrical Eng. & Systems 2025-06-19 Yu Xing , Shishi Huang , Meng Lv , Guo Chen , Huailiang Wang , Lingzhi Sui

Touchless interaction with medical images is becoming increasingly important in the surgical field, where sterility and continuity of the operational workflow are essential requirements. This work presents a vision-based system for…

Computer Vision and Pattern Recognition · Computer Science 2026-04-28 Yin Lin , Domenico Aquino , Alberto Redaelli , Massimiliano Del Bene , Riccardo Barbieri , Simona Ferrante

Video endoscopy represents a major advance in the investigation of gastrointestinal diseases. Reviewing endoscopy videos often involves frequent adjustments and reorientations to piece together a complete view, which can be both…

Computer Vision and Pattern Recognition · Computer Science 2025-02-14 Juming Xiong , Muyang Li , Ruining Deng , Tianyuan Yao , Shunxing Bao , Regina N Tyree , Girish Hiremath , Yuankai Huo

Localizing oneself during endoscopic procedures can be problematic due to the lack of distinguishable textures and landmarks, as well as difficulties due to the endoscopic device such as a limited field of view and challenging lighting…

Computer Vision and Pattern Recognition · Computer Science 2025-02-03 Gary Sarwin , Alessandro Carretta , Victor Staartjes , Matteo Zoli , Diego Mazzatenta , Luca Regli , Carlo Serra , Ender Konukoglu

Billions of vascular access procedures are performed annually worldwide, serving as a crucial first step in various clinical diagnostic and therapeutic procedures. For pediatric or elderly individuals, whose vessels are small in size…

Robotics · Computer Science 2025-04-09 Shuaiqi Jing , Tianliang Yao , Ke Zhang , Di Wu , Qiulin Wang , Zixi Chen , Ke Chen , Peng Qi

Despite the extensive demonstration of robotic systems for both cataract and vitreoretinal procedures, existing technologies or mechanisms still possess insufficient accuracy, precision, and degrees of freedom for instrument manipulation or…

Robotics · Computer Science 2025-11-04 Yu-Ting Lai , Jacob Rosen , Yasamin Foroutani , Ji Ma , Wen-Cheng Wu , Jean-Pierre Hubschman , Tsu-Chin Tsao

Achieving 3D spatial awareness is crucial for surgical robotic manipulation, where precise and delicate operations are required. Existing methods either explicitly reconstruct the surgical scene prior to manipulation, or enhance multi-view…

Robotics · Computer Science 2026-03-05 Yu Sheng , Lidian Wang , Xiaomeng Chu , Jiajun Deng , Min Cheng , Yanyong Zhang , Bei Hua , Houqiang Li , Jianmin Ji

Multimodal nonlinear endoscopes have been a topic of intense research over the past two decades, enabling sub-cellular and label-free imaging in areas not reachable with table-top microscopes. They are sophisticated systems that can be…

Analysis of three-dimensional biological samples is critical to understanding tissue function and the mechanisms of disease. Many chronic conditions, like neurodegenerative diseases and cancers, correlate with complex tissue changes that…

Biological Physics · Physics 2019-11-06 Jiaming Guo , Camille Artur , Jason L. Eriksen , David Mayerich

Traditional control and task automation have been successfully demonstrated in a variety of structured, controlled environments through the use of highly specialized modeled robotic systems in conjunction with multiple sensors. However, the…

Robotics · Computer Science 2020-02-20 Yang Li , Florian Richter , Jingpei Lu , Emily K. Funk , Ryan K. Orosco , Jianke Zhu , Michael C. Yip

A recently designed hyperspectral imaging device enables multiplexed acquisition of an entire data volume in a single snapshot thanks to monolithically-integrated spectral filters. Such an agile imaging technique comes at the cost of a…

Computer Vision and Pattern Recognition · Computer Science 2015-02-09 K. Degraux , V. Cambareri , L. Jacques , B. Geelen , C. Blanch , G. Lafruit

For several centuries, far-field optical microscopy has remained a key instrument in many scientific disciplines including physical, chemical and biomedical research. Nonetheless, far-field imaging has many limitations: the spatial…

Optics · Physics 2020-01-27 Lyubov V. Amitonova , Johannes F. de Boer

Computer-assisted minimally invasive surgery has great potential in benefiting modern operating theatres. The video data streamed from the endoscope provides rich information to support context-awareness for next-generation intelligent…

Computer Vision and Pattern Recognition · Computer Science 2022-08-04 Ziyi Wang , Bo Lu , Yonghao Long , Fangxun Zhong , Tak-Hong Cheung , Qi Dou , Yunhui Liu

Current in vivo microscopy allows us detailed spatiotemporal imaging (3D+t) of complete organisms and offers insights into their development on the cellular level. Even though the imaging speed and quality is steadily improving,…

Image and Video Processing · Electrical Eng. & Systems 2020-01-31 Sourabh Bhide , Ralf Mikut , Maria Leptin , Johannes Stegmaier

Robotic assistance in minimally invasive surgery can greatly enhance surgical precision and reduce surgeon fatigue. This paper presents a focused investigation on the kinematic and ergonomic design principles for a laparoscopic surgical…

Robotics · Computer Science 2025-11-05 Tian Hao , Tong Lu , Che Chan

Melanoma detection is vital for early diagnosis and effective treatment. While deep learning models on dermoscopic images have shown promise, they require specialized equipment, limiting their use in broader clinical settings. This study…

Computer Vision and Pattern Recognition · Computer Science 2026-05-20 Volodymyr Sydorskyi , Igor Krashenyi , Oleksii Yakubenko

Robot assisted endoluminal intervention is an emerging technique for both benign and malignant luminal lesions. With vision-based navigation, when combined with pre-operative imaging data as priors, it is possible to recover position and…

Computer Vision and Pattern Recognition · Computer Science 2025-03-06 Junyang Wu , Yun Gu , Guang-Zhong Yang

Intraoperative ultrasound facilitates localisation of tumour boundaries during minimally invasive procedures. Autonomous ultrasound scanning systems have been recently proposed to improve scanning accuracy and reduce surgeons' cognitive…

Robotics · Computer Science 2018-03-19 Lin Zhang , Menglong Ye , Stamatia Giannarou , Philip Pratt , Guang-Zhong Yang

Robotic ultrasound (US) imaging has been seen as a promising solution to overcome the limitations of free-hand US examinations, i.e., inter-operator variability. However, the fact that robotic US systems cannot react to subject movements…

Robotics · Computer Science 2022-09-07 Zhongliang Jiang , Nehil Danis , Yuan Bi , Mingchuan Zhou , Markus Kroenke , Thomas Wendler , Nassir Navab
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