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Related papers: MIRAGE: Patient-Specific Mixed Reality Coaching fo…

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First-time patients undergoing diagnostic computed tomography (CT) scans often experience significant anxiety and uncertainty, which can negatively impact scan results and patient well-being. We present an immersive mixed reality (MR)…

Human-Computer Interaction · Computer Science 2025-10-07 Alex Smith , Priya Patel , Hu Guo , Marco Ruiz

Meta Quest Store: https://www.meta.com/experiences/stanford-mri-simulator/8205539289482347/ Magnetic Resonance Imaging (MRI) can be a stressful experience for pediatric patients due to the loud acoustic environment, enclosed scanner bore,…

Human-Computer Interaction · Computer Science 2025-08-27 Yue Yang , Mengyao Guo , Yuxuan Wu , Wally Niu , Emmanuel A Corona , Bruce Daniel , Christoph Leuze , Fred Baik

Reliable Alzheimer's disease (AD) diagnosis increasingly relies on multimodal assessments combining structural Magnetic Resonance Imaging (MRI) and Electronic Health Records (EHR). However, deploying these models is bottlenecked by modality…

Computer Vision and Pattern Recognition · Computer Science 2026-03-04 Guanchen Wu , Zhe Huang , Yuzhang Xie , Runze Yan , Akul Chopra , Deqiang Qiu , Xiao Hu , Fei Wang , Carl Yang

Mixed Reality (MR) technologies such as Virtual and Augmented Reality (VR, AR) are well established in medical practice, enhancing diagnostics, treatment, and education. However, there are still some limitations and challenges that may be…

Human-Computer Interaction · Computer Science 2025-07-28 Aliaksandr Marozau , Barbara Karpowicz , Tomasz Kowalewski , Pavlo Zinevych , Wiktor Stawski , Adam Kuzdraliński , Wiesław Kopeć

Access to diverse, well-annotated medical images with interactive learning tools is fundamental for training practitioners in medicine and related fields to improve their diagnostic skills and understanding of anatomical structures. While…

Computer Vision and Pattern Recognition · Computer Science 2026-05-07 Miguel Diaz Benito , Cecilia Diana Albelda , Alvaro Garcia Martin , Jesus Bescos Cano , Marcos Escudero-Vinolo , Juan C. SanMiguel

The use of Augmented Reality (AR) devices for surgical guidance has gained increasing traction in the medical field. Traditional registration methods often rely on external fiducial markers to achieve high accuracy and real-time…

Computer Vision and Pattern Recognition · Computer Science 2025-06-03 Yue Yang , Christoph Leuze , Brian Hargreaves , Bruce Daniel , Fred Baik

Traffic is inherently dangerous, with around 1.19 million fatalities annually. Automotive Mediated Reality (AMR) can enhance driving safety by overlaying critical information (e.g., outlines, icons, text) on key objects to improve…

Human-Computer Interaction · Computer Science 2026-01-28 Pascal Jansen , Julian Britten , Mark Colley , Markus Sasalovici , Enrico Rukzio

Instruction-guided image editing has seen remarkable progress with models like FLUX.2 and Qwen-Image-Edit, yet they still struggle with complex scenarios with multiple similar instances each requiring individual edits. We observe that…

Computer Vision and Pattern Recognition · Computer Science 2026-04-08 Ziqian Liu , Stephan Alaniz

Extended reality (XR), encompassing Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR), is emerging as a transformative platform for medical education. Traditional methods such as textbooks, physical models, and cadaveric…

Human-Computer Interaction · Computer Science 2025-09-03 Yuqing Wei , Yupeng Wang , Jiayi Zhao , Yanjun Liu , Huxin Gao , Jiewen Lai

Integrating mixed reality (MR) with artificial intelligence (AI) technologies, including vision, language, audio, reasoning, and planning, enables the AI-powered MR assistant [1] to substantially elevate human efficiency. This enhancement…

Human-Computer Interaction · Computer Science 2024-05-10 Yan-Ming Chiou , Bob Price , Chien-Chung Shen , Syed Ali Asif

To effectively leverage user-specific data, retrieval augmented generation (RAG) is employed in multimodal large language model (MLLM) applications. However, conventional retrieval approaches often suffer from limited retrieval accuracy.…

Computer Vision and Pattern Recognition · Computer Science 2026-03-04 Maoliang Li , Ke Li , Yaoyang Liu , Jiayu Chen , Zihao Zheng , Yinjun Wu , Chenchen Liu , Xiang Chen

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

Retrieval-Augmented Generation (RAG) systems enhance LLMs with external knowledge but introduce a critical attack surface: corpus poisoning. While recent studies have demonstrated the potential of such attacks, they typically rely on…

Cryptography and Security · Computer Science 2026-01-21 Tailun Chen , Yu He , Yan Wang , Shuo Shao , Haolun Zheng , Zhihao Liu , Jinfeng Li , Zhizhen Qin , Yuefeng Chen , Zhixuan Chu , Zhan Qin , Kui Ren

Virtual, Augmented, and eXtended Reality (VR/AR/XR) technologies are increasingly recognized for their applications in training, diagnostics, and psychological research, particularly in high-risk and highly regulated environments. In this…

Mixed Reality (MR) is of increasing interest within technology-driven modern medicine but is not yet used in everyday practice. This situation is changing rapidly, however, and this paper explores the emergence of MR technology and the…

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

Mass-casualty incidents with a large number of injured persons caused by human-made or by natural disasters are increasing globally. In such situations, medical first responders (MFRs) need to perform diagnosis, basic life support, or other…

Computers and Society · Computer Science 2023-01-31 Helmut Schrom-Feiertag , Georg Regal , Markus Murtinger

Magnetic Resonance Imaging (MRI) is one of the most dynamic and safe imaging techniques available for clinical applications. However, the rather slow speed of MRI acquisitions limits the patient throughput and potential indi cations.…

Computer Vision and Pattern Recognition · Computer Science 2018-11-14 Risheng Liu , Yuxi Zhang , Shichao Cheng , Xin Fan , Zhongxuan Luo

Opportunities for medical students to gain practical experience in vaginal births are increasingly constrained by shortened clinical rotations, patient reluctance, and the unpredictable nature of labour. To alleviate clinicians'…

Computer Vision and Pattern Recognition · Computer Science 2026-02-06 Haojie Cheng , Chang Liu , Abhiram Kanneganti , Mahesh Arjandas Choolani , Arundhati Tushar Gosavi , Eng Tat Khoo

Magnetic resonance imaging (MRI) is the cornerstone technique for diagnostic medicine, biology, and neuroscience. This imaging method is highly innovative, noninvasive and its impact continues to grow. It can be used for measuring changes…

Spatial perception and reasoning are core components of human cognition, encompassing object recognition, spatial relational understanding, and dynamic reasoning. Despite progress in computer vision, existing benchmarks reveal significant…

Computer Vision and Pattern Recognition · Computer Science 2025-06-24 Chonghan Liu , Haoran Wang , Felix Henry , Pu Miao , Yajie Zhang , Yu Zhao , Peiran Wu
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