Modeling the MRI gradient system with a temporal convolutional network: Improved reconstruction by prediction of readout gradient errors. [PDF]
Martin JB +4 more
europepmc +1 more source
A Novel Multimodal Deep Image Analysis Model for Predicting Extraction/Non‐Extraction Decision
ABSTRACT Objective This study aimed to develop a deep learning model classifier capable of predicting the extraction/non‐extraction binary decision using lateral cephalometric radiographs (LCRs) and intraoral scans (IOS) to serve as an additional decision‐support tool for orthodontists.
Sunna Imtiaz Ahmad +13 more
wiley +1 more source
A dual-domain seasonal hybrid forecasting strategy for PV power considering dynamic uncertain fluctuations. [PDF]
Yuan Z, Xu Y, Xie S, Zhang Z.
europepmc +1 more source
ABSTRACT Digital image correlation (DIC) is a widely used experimental technique for measuring full‐field deformation, but its application to complex scenarios involving large deformations, discontinuities, or intricate geometries is often hampered by the need for manual region of interest (ROI) definition.
Jeffrey Leu +5 more
wiley +1 more source
Conformation-aware structure prediction of antigen-recognizing immune proteins. [PDF]
Dreyer FA +10 more
europepmc +1 more source
Dynamic frame-by-frame motion correction for <sup>18</sup>F-flurpiridaz PET-MPI using convolution neural network. [PDF]
Urs M +8 more
europepmc +1 more source
Neural Associative Skill Memories for Safer Robotics and Modeling Human Sensorimotor Repertoires. [PDF]
Mahajan P +4 more
europepmc +1 more source
ABSTRACT Parametric model order reduction by matrix interpolation allows for efficient prediction of the behavior of dynamic systems without requiring knowledge about the underlying parametric dependency. Within this approach, reduced models are first sampled and then made consistent with each other by transforming the underlying reduced bases. Finally,
Sebastian Resch‐Schopper +2 more
wiley +1 more source
Alignment-free unique molecular identifier clustering suppresses sequencing errors for accurate detection of low-frequency DNA variants. [PDF]
Yu F +9 more
europepmc +1 more source
Abstract Background Head and neck cancer (HNC) involves anatomically intricate regions where precise target delineation is essential for radiotherapy. The superior soft‐tissue contrast of MRI provides clearer boundary visualization compared with computed tomography (CT), enabling tighter margins and supporting daily plan adaptation in online adaptive ...
Qiang Han +9 more
wiley +1 more source

