Artificial intelligence‐assisted design, synthesis and analysis of smart biomaterials
BMEMat, EarlyView.Smart biomaterials are rapidly emerging as tools for tissue engineering, and artificial intelligence has played essential roles in biomaterial studies. By bridging the literature gap in AI‐based design, synthesis and analysis of smart biomaterials, the current review shares perspectives on how biomaterial scientists can practically incorporate AI for ...
Pengfei Jiang +9 more
wiley +1 more source
Stereo Online Self-Calibration Through the Combination of Hybrid Cost Functions with Shared Characteristics Considering Cost Uncertainty. [PDF]
Sensors (Basel)Lee W.
europepmc +1 more source
FDI-VSR: Video Super-Resolution Through Frequency-Domain Integration and Dynamic Offset Estimation. [PDF]
Sensors (Basel)Lim D, Choi J.
europepmc +1 more source
The Molecular Toolbox for Linkage Type‐Specific Analysis of Ubiquitin Signaling
ChemBioChem, EarlyView.Ubiquitin modifications regulate virtually all aspects of eukaryotic cell biology through an array of polyubiquitin chain signals that adopt distinct structures, enabling the individual polyubiquitin linkages to mediate specific functions in cells.
Julian Koch +3 more
wiley +1 more source
Deep learning from latent spatiotemporal information of the heart: Identifying advanced bioimaging markers from echocardiograms [PDF]
Amanda Chang, Xiaodong Wu, Kan Liu
openalex +1 more source
MSBiLSTM-Attention: EEG Emotion Recognition Model Based on Spatiotemporal Feature Fusion. [PDF]
Biomimetics (Basel)Ma Y +6 more
europepmc +1 more source
Hyperspectral Image Change Detection Method Based on the Balanced Metric. [PDF]
Sensors (Basel)Liang X, Li X, Wang Q, Qian J, Wang Y.
europepmc +1 more source
Generalizable, sequence-invariant deep learning image reconstruction for subspace-constrained quantitative MRI. [PDF]
Magn Reson MedAbstract Purpose To develop a deep subspace learning network that can function across different pulse sequences. Methods A contrast‐invariant component‐by‐component (CBC) network structure was developed and compared against previously reported spatiotemporal multicomponent (MC) structure for reconstructing MR Multitasking images.
Hu Z +6 more
europepmc +2 more sources
Deep transformer-based heterogeneous spatiotemporal graph learning for geographical traffic forecasting [PDF]
Guangsi Shi +4 more
openalex +1 more source
Action Recognition with 3D Residual Attention and Cross Entropy. [PDF]
Entropy (Basel)Ouyang Y, Li X.
europepmc +1 more source