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MRI-targeted biopsy has shown significant advantages over conventional random sextant biopsy, detecting more clinically significant cancers and improving risk stratification. However, needle targeting accuracy, especially in transperineal…

Robotics · Computer Science 2024-09-17 Zhanyue Zhao , Yiwei Jiang , Charles Bales , Yang Wang , Gregory Fischer

This paper explores the development and practical application of a predictive digital twin specifically designed for condition monitoring, using advanced mathematical models and thermal imaging techniques. Our work presents a comprehensive…

Computer Vision and Pattern Recognition · Computer Science 2024-11-12 Daniel Menges , Florian Stadtmann , Henrik Jordheim , Adil Rasheed

Digital twin technologies help practitioners simulate, monitor, and predict undesirable outcomes in-silico, while avoiding the cost and risks of conducting live simulation exercises. Virtual reality (VR) based digital twin technologies are…

Machine Learning · Computer Science 2025-04-01 Chathika Gunaratne , Mason Stott , Debraj De , Gautam Malviya Thakur , Chris Young

With the development of V2X technology, multiple vehicles cooperative control has been widely studied. However, filed testing is rarely conducted due to financial and safety considerations. To solve this problem, this study proposes a…

Systems and Control · Electrical Eng. & Systems 2021-10-26 Chunying Yang , Jianghong Dong , Qing Xu , Mengchi Cai , Hongmao Qin , Jianqiang Wang , Keqiang Li

Maternal health remains a pervasive challenge in developing and underdeveloped countries. Inadequate access to basic antenatal Ultrasound (US) examinations, limited resources such as primary health services and infrastructure, and lack of…

Cannulation for hemodialysis is the act of inserting a needle into a surgically created vascular access (e.g., an arteriovenous fistula) for the purpose of dialysis. The main risk associated with cannulation is infiltration, the puncture of…

Image and Video Processing · Electrical Eng. & Systems 2021-10-25 Jianxin Gao , Ju Lin , Irfan Kil , Ravikiran B. Singapogu , Richard E. Groff

Digital twins have become popular for their ability to monitor and optimize a process or a machine, ideally through its complete life cycle using simulations and sensor data. In this paper, we focus on the challenge of accurate and…

Systems and Control · Electrical Eng. & Systems 2023-10-30 Karim Cherifi , Philipp Schulze , Volker Mehrmann , Leo Goßlau , Pascal Lünnemann

The idea of a systematic digital representation of the entire known human pathophysiology, which we could call the Virtual Human Twin, has been around for decades. To date, most research groups focused instead on developing highly…

Medical Physics · Physics 2023-08-15 Marco Viceconti , Maarten De Vos , Sabato Mellone , Liesbet Geris

The mobile robotic testbed is an essential and critical support to verify the effectiveness of mobile robotics research. This paper introduces a novel multi-robot testbed, named Robopheus, which exploits the ideas of virtual-physical…

Robotics · Computer Science 2021-03-09 Xuda Ding , Han Wang , Hongbo Li , Hao Jiang , Jianping He

One possible way of making thermal processing controllable is to gather real-time information on the product's current state. Often, sensory equipment cannot capture all relevant information easily or at all. Digital Twins close this gap…

Computational Engineering, Finance, and Science · Computer Science 2022-09-08 Maximilian Kannapinn , Minh Khang Pham , Michael Schäfer

Computed tomography (CT)-guided needle biopsies are critical for diagnosing a range of conditions, including lung cancer, but present challenges such as limited in-bore space, prolonged procedure times, and radiation exposure. Robotic…

Clinically significant prostate cancer has a better chance to be sampled during ultrasound-guided biopsy procedures, if suspected lesions found in pre-operative magnetic resonance (MR) images are used as targets. However, the diagnostic…

Machine Learning · Computer Science 2022-07-25 Iani JMB Gayo , Shaheer U. Saeed , Dean C. Barratt , Matthew J. Clarkson , Yipeng Hu

Deep learning models have created great opportunities for data-driven fault diagnosis but they require large amount of labeled failure data for training. In this paper, we propose to use a digital twin to support developing data-driven…

Machine Learning · Computer Science 2024-11-05 Killian Mc Court , Xavier Mc Court , Shijia Du , Zhiguo Zeng

The substantial computational cost of high-fidelity models in numerical hemodynamics has, so far, relegated their use mainly to offline treatment planning. New breakthroughs in data-driven architectures and optimization techniques for fast…

Creating a digital world that closely mimics the real world with its many complex interactions and outcomes is possible today through advanced emulation software and ubiquitous computing power. Such a software-based emulation of an entity…

Signal Processing · Electrical Eng. & Systems 2023-05-18 Batool Salehi , Utku Demir , Debashri Roy , Suyash Pradhan , Jennifer Dy , Stratis Ioannidis , Kaushik Chowdhury

This paper explores the opportunities of using a digital twin to address the complexities of collaborative production systems through an industrial case and a demonstrator. A digital twin, as a virtual counterpart of a physical human-robot…

Computers and Society · Computer Science 2020-11-24 Ali Ahmad Malik , Alexander Brem

Conventional breast cancer imaging techniques are nowadays based on the use of ionising radiations or ultrasound waves for the inspection of breast areas. Nevertheless, these conventional techniques present some drawbacks related to patient…

Image and Video Processing · Electrical Eng. & Systems 2023-03-07 Michele Ambrosanio , Stefano Franceschini , Vito Pascazio , Fabio Baselice

In trauma and critical care settings, rapid and precise intravascular access is key to patients' survival. Our research aims at ensuring this access, even when skilled medical personnel are not readily available. Vessel bifurcations are…

Robotics · Computer Science 2024-09-12 Cecilia G. Morales , Dhruv Srikanth , Jack H. Good , Keith A. Dufendach , Artur Dubrawski

This article presents a novel telepresence system for advancing aerial manipulation in dynamic and unstructured environments. The proposed system not only features a haptic device, but also a virtual reality (VR) interface that provides…

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
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