Results 81 to 90 of about 346,319 (275)

The Impact of Tilburg Frailty on Poststroke Fatigue in First‐Ever Stroke Patients: A Cross‐Sectional Study With Unified Measurement Tools and Improved Statistics

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Poststroke fatigue (PSF) and frailty share substantial overlap in their manifestations, yet previous research has yielded conflicting results due to the use of heterogeneous frailty assessment tools. Objective To evaluate the independent impact of frailty on PSF using a unified measurement system (Tilburg Frailty Indicator, TFI ...
Chuan‐Bang Chen, Xiao‐Xue Wang, Shao‐Rui Bao, Sui‐Li Lin, Mei‐Chun Shu, Xi‐Xi Ye, Wen‐Jie Cong   +6 more
wiley   +1 more source

Compressed-domain visual saliency models: A comparative study

, 2016
Computational modeling of visual saliency has become an important research problem in recent years, with applications in video quality estimation, video compression, object tracking, retargeting, summarization, and so on.
Bajic, Ivan V., Khatoonabadi, Sayed Hossein, Shan, Yufeng   +2 more
core   +1 more source

Prediction Model for Etiologic Differentiation of Isolated Vestibular Syndrome in Emergency Settings

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective This study aimed to develop and validate a predictive model for differentiating central from peripheral etiologies in patients with isolated vestibular syndrome (VS). Methods In this multicenter retrospective cohort study, 506 patients with isolated VS from five hospitals were divided into derivation (n = 301) and validation (n = 205)
Guo Wenting, Du Liping, Yang Yi, Hu Jin, Ye Bijun, Wang Jianer, Liu Shuangsi, Guo Shunyuan, Cai Xiaofeng, Wang Huiyuan, Wu Bin, Yu Xiang, Shi Tianming   +12 more
wiley   +1 more source

LATrack: Limited Attention for Visual Object Tracking

IEEE Access
The use of temporal information is becoming increasingly important in mainstream visual object trackers. Mainstream trackers typically interact trajectory information with image features.
Jian Shi, Zheng Chang, Yang Yu, Junze Shi, Haibo Luo   +4 more
doaj   +1 more source

Recurrent Filter Learning for Visual Tracking

, 2017
Recently using convolutional neural networks (CNNs) has gained popularity in visual tracking, due to its robust feature representation of images. Recent methods perform online tracking by fine-tuning a pre-trained CNN model to the specific target object ...
Chan, Antoni B., Yang, Tianyu
core   +1 more source

The Visual Object Tracking VOT2017 Challenge Results

2017 IEEE International Conference on Computer Vision Workshops (ICCVW), 2017
The Visual Object Tracking challenge VOT2017 is the fifth annual tracker benchmarking activity organized by the VOT initiative. Results of 51 trackers are presented; many are state-of-the-art published at major computer vision conferences or journals in recent years.
Kristan, Matej, Leonardis, Ales, Matas, Jiri, Felsberg, Michael, Pflugfelder, Roman, Zajc, Luka Cehovin, Vojir, Tomas, Hager, Gustav, Lukezic, Alan, Eldesokey, Abdelrahman, Fernandez, Gustavo, Garcia-Martin, Alvaro, Muhic, A., Petrosino, Alfredo, Memarmoghadam, Alireza, Vedaldi, Andrea, Manzanera, Antoine, Tran, Antoine, Alatan, Aydin, Mocanu, Bogdan, Chen, Boyu, Huang, Chang, Xu, Changsheng, Sun, Chong, Du, Dalong, Zhang, David, Du, Dawei, Mishra, Deepak, Gundogdu, Erhan, Velasco-Salido, Erik, Khan, Fahad Shahbaz, BATTISTONE, FRANCESCO, Subrahmanyam, Gorthi R. K. Sai, Bhat, Goutam, Huang, Guan, Bastos, Guilherme, Seetharaman, Guna, Zhang, Hongliang, Li, Houqiang, Lu, Huchuan, Drummond, Isabela, Valmadre, Jack, Jeong, Jae-chan, Cho, Jae-il, Lee, Jae-Yeong, Noskova, Jana, Zhu, Jianke, Gao, Jin, Liu, Jingyu, Kim, Ji-Wan, Henriques, Joao F., Martinez, Jose M., Zhuang, Junfei, Xing, Junliang, Gao, Junyu, Chen, Kai, Palaniappan, Kannappan, Lebeda, Karel, Gao, Ke, Kitani, Kris M., Zhang, Lei, Wang, Lijun, Yang, Lingxiao, Wen, Longyin, Bertinetto, Luca, Poostchi, Mahdieh, Danelljan, Martin, Mueller, Matthias, Zhang, Mengdan, Yang, Ming-Hsuan, Xie, Nianhao, Wang, Ning, Miksik, Ondrej, Moallem, P., M, Pallavi Venugopal, Senna, Pedro, Torr, Philip H. S., Wang, Qiang, Yu, Qifeng, Huang, Qingming, Martin-Nieto, Rafael, Bowden, Richard, Liu, Risheng, Tapu, Ruxandra, Hadfield, Simon, Lyu, Siwei, Golodetz, Stuart, Choi, Sunglok, Zhang, Tianzhu, Zaharia, Titus, Santopietro, Vincenzo, Zou, Wei, Hu, Weiming, Tao, Wenbing, Li, Wenbo, Zhou, Wengang, Yu, Xianguo, Bian, Xiao, Li, Yang, Xing, Yifan, Fan, Yingruo, Zhu, Zheng, Zhang, Zhipeng, He, Zhiqun   +103 more
openaire   +4 more sources

Accelerated Progression of Gait Impairment in Parkinson's Disease and REM Sleep Without Atonia

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective People with Parkinson's disease (PD) and rapid eye movement (REM) sleep without atonia (RSWA) often have more severe gait disturbances compared to PD without RSWA. The association between the presence and expression of RSWA and the rate of progression of gait impairment in PD is unknown.
Sommer L. Amundsen‐Huffmaster, Jae Woo Chung, Maria E. Linn‐Evans, Matthew N. Petrucci, Chiahao Lu, Destiny J. Weaver, Joshua De Kam, Scott E. Cooper, Paul J. Tuite, Aleksandar Videnovic, Michael J. Howell, Colum D. MacKinnon   +11 more
wiley   +1 more source

Lessons Learned: Quality Analysis of Optical Coherence Tomography in Neuromyelitis Optica

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Optical coherence tomography (OCT)‐derived retina measurements are markers for neuroaxonal visual pathway status. High‐quality OCT scans are essential for reliable measurements, but their acquisition is particularly challenging in eyes with severe visual impairment, as often observed in neuromyelitis optica spectrum disorders ...
Hadi Salih, Sara Samadzadeh, Charlotte Bereuter, Seyedamirhosein Motamedi, Claudia Chien, Pablo Villoslada, Hadas Stiebel‐Kalish, Nasrin Asgari, Yang Mao‐Draayer, Marius Ringelstein, Joachim Havla, Marco Aurélio Lana Peixoto, Ho Jin Kim, Jacqueline Palace, Maria Isabel Leite, Srilakshmi M. Sharma, Fereshteh Ashtari, Rahele Kafieh, Lekha Pandit, Orhan Aktas, Philipp Albrecht, Letizia Leocani, Itay Lotan, Sasitorn Siritho, Jérôme de Seze, Romain Marignier, Caroline Froment Tilikete, Denis Bernardi Bichuetti, Ivan Maynart Tavares, Ayse Altintas, Anu Jacob, Saif Huda, Ibis Soto de Castillo, Lawrence J. Cook, Michael R. Yeaman, Axel Petzold, Alexander U. Brandt, Friedemann Paul, Frederike C. Oertel, Hanna G. Zimmermann, with the Guthy Jackson Charitable Foundation—International Clinical Consortium and CROCTINO Collaborators   +40 more
wiley   +1 more source

Portable Low‐Field Magnetic Resonance Imaging in People With Human Immunodeficiency Virus

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The aging population of people with HIV (PWH) raises heightened concerns regarding accelerated aging and dementia. Portable, low‐field MRI (LF‐MRI) is an innovative technology that could enhance access and facilitate routine monitoring of PWH.
Annabel Sorby‐Adams, Malachi Keo, Jennifer Guo, Daire Daly, Richard Ahern, Kimon Zachary, Gregory Robbins, Rajesh T. Gandhi, Bragi Sveinsson, Adam de Havenon, Kevin N. Sheth, Otto Rapalino, Juan Eugenio Iglesias Gonzales, W. Taylor Kimberly, Shibani S. Mukerji   +14 more
wiley   +1 more source

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein, Haoqi Sun, Sophie Lehnerer, Lea Gerischer, Maximilian Mönch, Christian Meisel, Andreas Meisel, Pushpa Narayanaswami   +7 more
wiley   +1 more source