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Yi He
Yi He
Danish Research Centre for Magnetic Resonance /Copenhagen University Hospital Hvidovre
Verified email at drcmr.dk - Homepage
Title
Cited by
Cited by
Year
A wearable context-aware ECG monitoring system integrated with built-in kinematic sensors of the smartphone
F Miao, Y Cheng, Y He, Q He, Y Li
Sensors 15 (5), 11465-11484, 2015
1532015
Fall detection by built-in tri-accelerometer of smartphone
Y He, Y Li, SD Bao
Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and …, 2012
1532012
Physical activity recognition utilizing the built-in kinematic sensors of a smartphone
Y He, Y Li
International Journal of Distributed Sensor Networks 9 (4), 481580, 2013
1372013
Ultra-slow single-vessel BOLD and CBV-based fMRI spatiotemporal dynamics and their correlation with neuronal intracellular calcium signals
Y He, M Wang, X Chen, R Pohmann, JR Polimeni, K Scheffler, BR Rosen, ...
Neuron 97 (4), 925-939. e5, 2018
1212018
Sensory and optogenetically driven single-vessel fMRI
X Yu, Y He, M Wang, H Merkle, SJ Dodd, AC Silva, AP Koretsky
Nature methods 13 (4), 337-340, 2016
1172016
Brain-state dependent astrocytic Ca2+ signals are coupled to both positive and negative BOLD-fMRI signals
M Wang, Y He, TJ Sejnowski, X Yu
Proceedings of the National Academy of Sciences 115 (7), E1647-E1656, 2018
982018
Identifying typical physical activity on smartphone with varying positions and orientations
F Miao, Y He, J Liu, Y Li, I Ayoola
Biomedical engineering online 14, 1-15, 2015
762015
Falling-incident detection and alarm by smartphone with Multimedia Messaging Service (MMS)
Y He, Y Li, C Yin
Scientific Research Publishing, 2012
542012
Phase error analysis and compensation considering ambient light for phase measuring profilometry
P Zhou, X Liu, Y He, T Zhu
Optics and Lasers in Engineering 55, 99-104, 2014
522014
Predicting the fMRI signal fluctuation with recurrent neural networks trained on vascular network dynamics
F Sobczak, Y He, TJ Sejnowski, X Yu
Cerebral cortex 31 (2), 826-844, 2021
82021
High spatiotemporal vessel-specific hemodynamic mapping with multi-echo single-vessel fMRI
Y He, M Wang, X Yu
Journal of Cerebral Blood Flow & Metabolism 40 (10), 2098-2114, 2020
82020
In vivo tensor-valued diffusion MRI of focal demyelination in white and deep grey matter of rodents
Y He, S Aznar, HR Siebner, TB Dyrby
NeuroImage: Clinical 30, 102675, 2021
62021
Cerebrovascular Gi Proteins Protect Against Brain Hypoperfusion and Collateral Failure in Cerebral Ischemia
S Castaneda-Vega, S Beer-Hammer, V Leiss, H Napieczyńska, M Vuozzo, ...
Molecular Imaging and Biology 25 (2), 363-374, 2023
32023
Predict the slow oscillation of the single-vessel resting-state fMRI signal of rats and humans with echo state networks
F Sobczak, Y He, X Yu
12018
Bridging the 3D geometrical organisation of white matter pathways across anatomical length scales and species
HM Kjer, M Andersson, Y He, A Pacureanu, A Daducci, M Pizzolato, ...
bioRxiv, 2023.10. 16.562488, 2023
2023
Cerebrovascular G
S Castaneda‑Vega, S Beer‑Hammer, V Leiss, H Napieczyńska, M Vuozzo, ...
2022
Decoupling the default mode network and global state oscillation by neural network-based prediction of the fMRI signal fluctuation
F Sobczak, Y He, TJ Sejnowski, X Yu
2020 ISMRM & SMRT Virtual Conference & Exhibition, 2020
2020
Multidimensional Diffusion MRI Assists Myelin-sensitive Bound Pool Fraction in Differentiating Microstructural Maturity of Primate Brains
Y He, H Lundell, IM Rodrigues, MD Budde, MD Does, M Ptito, TB Dyrby
ISMRM & SMRT Virtual Conference & Exhibition 2020, 1-3, 2020
2020
Streamline tractography for 3D mapping of axon bundle organization in one MRI voxel using ultra-high resolution synchrotron radiation imaging
HM Kjer, M Andersson, Y He, ML Elkjaer, A Pacureanu, Z Illes, ...
Proceedings of 2020 ISMRM & SMRT Virtual Conference & Exhibition, 1-3, 2020
2020
Predicting the fMRI signal fluctuation with echo-state neural networks trained on vascular network dynamics
F Sobczak, Y He, TJ Sejnowski, X Yu
bioRxiv, 807966, 2019
2019
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Articles 1–20