Results 251 to 260 of about 497,808 (317)

NeuroFusionNet: cross-modal modeling from brain activity to visual understanding. [PDF]

Front Comput Neurosci
Lang K, Fang J, Su G.
europepmc   +1 more source

Evaluation of Real‐Time Cardiovascular Flow MRI Using Compressed Sensing in a Phantom and in Patients With Valvular Disease or Arrhythmia

Journal of Magnetic Resonance Imaging, EarlyView.
Background Real‐time (RT) phase contrast (PC) flow MRI can potentially be used to measure blood flow in arrhythmic patients. Undersampled RT PC has been combined with online compressed sensing (CS) reconstruction (CS RT) enabling clinical use. However, CS RT flow has not been validated in a clinical setting.
Tania Lala, Lea Christierson, Petter Frieberg, Daniel Giese, Peter Kellman, Nina Hakacova, Pia Sjöberg, Ellen Ostenfeld, Johannes Töger   +8 more
wiley   +1 more source

Research on spatiotemporal dynamic load prediction of smart grid electric vehicles based on deep learning

openalex   +1 more source

The use of artificial intelligence-based Siamese neural network in personalized guidance for sports dance teaching. [PDF]

Sci Rep
Xie Y, Yan Y, Li Y.
europepmc   +1 more source

The Development and Challenges of PET/MRI Dual‐Modality Imaging Probes—An Update

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT The integration of Positron emission tomography (PET) with Magnetic resonance imaging (MRI) combines the functional imaging capabilities of PET with the high‐resolution anatomical detail of MRI, creating a synergistic platform for advanced diagnostic imaging and image‐guided therapies. Central to the success of this dual‐modality system is the
Maryam Sabbaghan, Saumya Nigam, Isabella Kasabasic, Medha Manepalli, Ping Wang, Jinda Fan   +5 more
wiley   +1 more source

Mobile Spatiotemporal Gait Segmentation Using an Ear-Worn Motion Sensor and Deep Learning

Julian Decker, Lukas Boborzi, Roman Schniepp, Klaus Jahn, Max Wuehr   +4 more
openalex   +1 more source

Estimation of heart rate and respiratory rate by fore-background spatiotemporal modeling of videos. [PDF]

Biomed Opt Express
Zheng X, Yan W, Liu B, Wu YI, Tu H.
europepmc   +1 more source

Imaging‐Based Molecular Characterization of Adult‐Type Diffuse Glioma Using Diffusion and Perfusion MRI in Pre‐ and Post‐Treatment Stage Considering Spatial and Temporal Heterogeneity

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Imaging‐based molecular characterization is important for identifying treatment targets in adult‐type diffuse gliomas. Purpose To assess isocitrate dehydrogenase (IDH) mutation and epidermal growth factor receptor (EGFR) amplification status in primary and recurrent gliomas using diffusion and perfusion MRI, addressing spatial and ...
Yun Hwa Roh, E‐Nae Cheong, Ji Eun Park, Yangsean Choi, Seung Chai Jung, Sang Woo Song, Young‐Hoon Kim, Chang‐Ki Hong, Jeong Hoon Kim, Ho Sung Kim   +9 more
wiley   +1 more source

Deepfake detection: Enhancing performance with spatiotemporal texture and deep learning feature fusion

Abdelwahab Almestekawy, Hala H. Zayed, Ahmed Taha   +2 more
openalex   +1 more source

Deep Temporal Clustering of Pathological Gait Patterns in Post-Stroke Patients Using Joint Angle Trajectories: A Cross-Sectional Study. [PDF]

Bioengineering (Basel)
Kim G, Kim H, Kim YH, Kim SJ, Choi MT.
europepmc   +1 more source