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To understand Working of Human Brain measurements related to the brain function are required. These measurements should be possibly non-invasive. Brain should be disturbed as less as possible during the measurement. Integration of various…

Emerging Technologies · Computer Science 2015-06-16 Revati Shriram , M. Sundhararajan , Nivedita Daimiwal

Purpose: Imaging biomarkers with increased myelin specificity are needed to better understand the complex progression of neurological disorders. Inhomogeneous magnetization transfer (ihMT) imaging is an emergent technique that has a high…

We present first results from a Positron Emission Tomography (PET) scanner demonstrator based on Resistive Plate Chambers and specialized for brain imaging. The device features a 30 cm wide cubic field-of-view and each detector comprises 40…

With the development of the modern society, mind control applied to both the recovery of disabled individuals and auxiliary control of normal people has obtained great attention in numerous researches. In our research, we attempt to…

Human-Computer Interaction · Computer Science 2015-09-29 Zhen Li , Jianjun Xu , Tingshao Zhu

Recently, convolutional neural networks (CNNs) and attention mechanisms have been widely used in image denoising and achieved satisfactory performance. However, the previous works mostly use a single head to receive the noisy image,…

Computer Vision and Pattern Recognition · Computer Science 2022-11-07 Jiahong Zhang , Meijun Qu , Ye Wang , Lihong Cao

Patient motion during PET is inevitable. Its long acquisition time not only increases the motion and the associated artifacts but also the patient's discomfort, thus PET acceleration is desirable. However, accelerating PET acquisition will…

Image and Video Processing · Electrical Eng. & Systems 2023-02-15 Bo Zhou , Yu-Jung Tsai , Jiazhen Zhang , Xueqi Guo , Huidong Xie , Xiongchao Chen , Tianshun Miao , Yihuan Lu , James S. Duncan , Chi Liu

Recognition of objects from partial information presents a significant challenge for theories of vision because it requires spatial integration and extrapolation from prior knowledge. We combined neurophysiological recordings in human…

Neurons and Cognition · Quantitative Biology 2014-09-11 Hanlin Tang , Calin Buia , Joseph Madsen , William S. Anderson , Gabriel Kreiman

3D shape reconstruction is essential in the navigation of minimally-invasive and auto robot-guided surgeries whose operating environments are indirect and narrow, and there have been some works that focused on reconstructing the 3D shape of…

Image and Video Processing · Electrical Eng. & Systems 2021-10-13 Bowen Hu , Baiying Lei , Shuqiang Wang , Yong Liu , Bingchuan Wang , Min Gan , Yanyan Shen

Electrophysiological devices are critical for mapping eloquent and diseased brain regions and for therapeutic neuromodulation in clinical settings and are extensively utilized for research in brain-machine interfaces. However, the existing…

This paper presents a method that can accurately detect heads especially small heads under the indoor scene. To achieve this, we propose a novel method, Feature Refine Net (FRN), and a cascaded multi-scale architecture. FRN exploits the…

Computer Vision and Pattern Recognition · Computer Science 2018-11-27 Dezhi Peng , Zikai Sun , Zirong Chen , Zirui Cai , Lele Xie , Lianwen Jin

In PET, the amount of relative (signal-dependent) noise present in different body regions can be significantly different and is inherently related to the number of counts present in that region. The number of counts in a region depends, in…

Image and Video Processing · Electrical Eng. & Systems 2022-12-20 Ye Li , Jianan Cui , Junyu Chen , Guodong Zeng , Scott Wollenweber , Floris Jansen , Se-In Jang , Kyungsang Kim , Kuang Gong , Quanzheng Li

Advances in optical neuroimaging techniques now allow neural activity to be recorded with cellular resolution in awake and behaving animals. Brain motion in these recordings pose a unique challenge. The location of individual neurons must…

Neurons and Cognition · Quantitative Biology 2017-05-22 Jeffrey P. Nguyen , Ashley N. Linder , George S. Plummer , Joshua W. Shaevitz , Andrew M. Leifer

This article proposes a novel attention-based body pose encoding for human activity recognition that presents a enriched representation of body-pose that is learned. The enriched data complements the 3D body joint position data and improves…

Computer Vision and Pattern Recognition · Computer Science 2020-10-05 B Debnath , M O'brien , S Kumar , A Behera

Rehabilitation is important to improve quality of life for mobility-impaired patients. Smart walkers are a commonly used solution that should embed automatic and objective tools for data-driven human-in-the-loop control and monitoring.…

Computer Vision and Pattern Recognition · Computer Science 2021-07-06 Manuel Palermo , Sara Moccia , Lucia Migliorelli , Emanuele Frontoni , Cristina P. Santos

Subject motion in whole-body dynamic PET introduces inter-frame mismatch and seriously impacts parametric imaging. Traditional non-rigid registration methods are generally computationally intense and time-consuming. Deep learning approaches…

Image and Video Processing · Electrical Eng. & Systems 2022-06-29 Xueqi Guo , Bo Zhou , David Pigg , Bruce Spottiswoode , Michael E. Casey , Chi Liu , Nicha C. Dvornek

With the soaring adoption of in-ear wearables, the research community has started investigating suitable in-ear heart rate (HR) detection systems. HR is a key physiological marker of cardiovascular health and physical fitness. Continuous…

Human-Computer Interaction · Computer Science 2023-04-25 Kayla-Jade Butkow , Ting Dang , Andrea Ferlini , Dong Ma , Cecilia Mascolo

Photoacoustic imaging combines the high contrast of optical imaging with the deep penetration depth of ultrasonic imaging, showing great potential in cerebrovascular disease detection. However, the ultrasonic wave suffers strong attenuation…

Medical Physics · Physics 2025-09-08 Pengcheng Wan , Fan Zhang , Yuting Shen , Hulin Zhao , Xiran Cai , Xiaohua Feng , Fei Gao

Photon-counting spectral computed tomography is now clinically available. These new detectors come with the promise of higher contrast-to-noise ratio and spatial resolution and improved low-dose imaging. However, one important design…

Medical Physics · Physics 2023-02-03 Dennis Hein , Konstantinos Liappis , Fredrik Grönberg , Alma Eguizabal , Mats Persson

Hyperion-IID is a positron emission tomography (PET) insert which allows simultaneous operation in a clinical magnetic resonance imaging (MRI) scanner. To read out the scintillation light of the employed LYSO crystal arrays with a pitch of…

We examined eye and head movements to gain insights into skill development in clinical settings. A total of 24 practitioners participated in simulated baby delivery training sessions. We calculated key metrics, including pupillary response…

Human-Computer Interaction · Computer Science 2025-07-24 Kayhan Latifzadeh , Luis A. Leiva , Klen Čopič Pucihar , Matjaž Kljun , Iztok Devetak , Lili Steblovnik