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Estimating 3D full-body pose from sparse sensor data is a pivotal technique employed for the reconstruction of realistic human motions in Augmented Reality and Virtual Reality. However, translating sparse sensor signals into comprehensive…

Computer Vision and Pattern Recognition · Computer Science 2024-05-14 Feiyu Yao , Zongkai Wu , Li Yi

Remote photoplethysmography (rPPG) has been widely applied to measure heart rate from face videos. To increase the generalizability of the algorithms, domain generalization (DG) attracted increasing attention in rPPG. However, when rPPG is…

Computer Vision and Pattern Recognition · Computer Science 2024-10-30 Jiyao Wang , Hao Lu , Ange Wang , Xiao Yang , Yingcong Chen , Dengbo He , Kaishun Wu

Positron emission tomography (PET) is a cornerstone of modern oncologic and neurologic imaging, distinguished by its unique ability to illuminate dynamic metabolic processes that transcend the anatomical focus of traditional imaging…

Image and Video Processing · Electrical Eng. & Systems 2025-11-13 Yichi Zhang , Wenbo Zhang , Zehui Ling , Gang Feng , Sisi Peng , Deshu Chen , Yuchen Liu , Hongwei Zhang , Shuqi Wang , Lanlan Li , Limei Han , Yuan Cheng , Zixin Hu , Yuan Qi , Le Xue

A joint image reconstruction and segmentation approach based on disentangled representation learning was trained to enable cardiac cine MR imaging in real-time and under free-breathing. An exploratory feasibility study tested the proposed…

Photoplethysmography (PPG) is one of the most widely captured biosignals for clinical prediction tasks, yet PPG-based algorithms are typically trained on small-scale datasets of uncertain quality, which hinders meaningful algorithm…

Machine Learning · Computer Science 2026-03-24 Mohammad Moulaeifard , Philip J. Aston , Peter H. Charlton , Nils Strodthoff

Verification of patient specific proton stopping powers obtained in the patient treatment position can be used to reduce the distal margins needed in particle beam planning. Proton radiography can be used as a pre-treatment instrument to…

Upright position CT scans make it possible for full-length-body imaging at conditions more relevant to daily situations, but the substantial weight of the upright CT scanners increases the risks to floor's stability and patients'safety.…

Medical Physics · Physics 2023-11-13 Tong Lin , Tianling Lyu , Zhan Wu , Yan Xi , Wentao Zhu , Yang Chen

Magnetic Resonance Imaging (MRI) and Positron Emission Tomography (PET) automatic 3-D registration is implemented and validated for small animal image volumes so that the high-resolution anatomical MRI information can be fused with the low…

Computer Vision and Pattern Recognition · Computer Science 2017-05-24 Nathanael L. Baisa , Stéphanie Bricq , Alain Lalande

Studies of the human brain during natural activities, such as locomotion, would benefit from the ability to image deep brain structures during these activities. While Positron Emission Tomography (PET) can image these structures, the bulk…

Robotics · Computer Science 2023-11-30 Junxiang Wang , Iulian I. Iordachita , Peter Kazanzides

Purpose: To develop an accelerated Cartesian MRF implementation using a multi-shot EPI sequence for rapid simultaneous quantification of T1 and T2 parameters. Methods: The proposed Cartesian MRF method involved the acquisition of highly…

MRI, a widespread non-invasive medical imaging modality, is highly sensitive to patient motion. Despite many attempts over the years, motion correction remains a difficult problem and there is no general method applicable to all situations.…

Image and Video Processing · Electrical Eng. & Systems 2024-11-05 Oscar Dabrowski , Jean-Luc Falcone , Antoine Klauser , Julien Songeon , Michel Kocher , Bastien Chopard , François Lazeyras , Sébastien Courvoisier

In this work, we present modeling and imaging performance of a dual panel limited-angle TOF-PET system for intraoperative surgical applications using GATE monte carlo toolkit. Several detector parameters such as detector pixel dimensions,…

Medical Physics · Physics 2024-02-13 Salar Sajedi , Yuemeng Feng , Hamid Sabet

This paper presents a robust multi-domain network designed to restore low-quality amyloid PET images acquired in a short period of time. The proposed method is trained on pairs of PET images from short (2 minutes) and standard (20 minutes)…

Image and Video Processing · Electrical Eng. & Systems 2025-06-10 Hyoung Suk Park , Young Jin Jeong , Kiwan Jeon

Publicly available, large-scale medical imaging datasets are crucial for developing and validating artificial intelligence models and conducting retrospective clinical research. However, datasets that combine functional and anatomical…

Computer Vision and Pattern Recognition · Computer Science 2025-11-06 Le Xue , Gang Feng , Wenbo Zhang , Yichi Zhang , Lanlan Li , Shuqi Wang , Liling Peng , Sisi Peng , Xin Gao

Correlation Plenoptic Imaging (CPI) is a novel technological imaging modality enabling to overcome drawbacks of standard plenoptic devices, while preserving their advantages. However, a major challenge in view of real-time application of…

Random Projection (RP) technique has been widely applied in many scenarios because it can reduce high-dimensional features into low-dimensional space within short time and meet the need of real-time analysis of massive data. There is an…

Machine Learning · Computer Science 2017-06-20 Haozhe Xie , Jie Li , Qiaosheng Zhang , Yadong Wang

The Task Group 211 report of the American Association of Physicists in Medicine (AAPM) reviewed static segmentation techniques in nuclear positronemission tomography (PET) imaging used in nuclear medicine. These methods, when applied to a…

Medical Physics · Physics 2023-06-29 Philippe Laporte , Claire Cohalan , Jean-François Carrier

Dynamic positron emission tomography (dPET) is currently a widely used medical imaging technique for the clinical diagnosis, staging and therapy guidance of all kinds of human cancers. Higher temporal imaging resolution for the early stage…

Medical Physics · Physics 2021-12-07 Zixiang Chen , Yaping Wu , Na Zhang , Yu Shen , Hairong Zheng , Dong Liang , Meiyun Wang , Zhanli Hu

Remote photoplethysmography (rPPG) aims to extract non-contact physiological signals from facial videos and has shown great potential. However, existing rPPG approaches struggle to bridge the gap between source and target domains. Recent…

Quantitative Methods · Quantitative Biology 2025-10-03 Shuyang Chu , Jingang Shi , Xu Cheng , Haoyu Chen , Xin Liu , Jian Xu , Guoying Zhao

Total Body Photography (TBP) is becoming a useful screening tool for patients at high risk for skin cancer. While much progress has been made, existing TBP systems can be further improved for automatic detection and analysis of suspicious…

Computer Vision and Pattern Recognition · Computer Science 2025-05-29 Wei-Lun Huang , Joshua Liu , Davood Tashayyod , Jun Kang , Amir Gandjbakhche , Misha Kazhdan , Mehran Armand