article-journal

Exploring Radiomics Features Based on H&E Images as Potential Biomarkers for Evaluating Muscle Atrophy: A Preliminary Study
Radiomics features have been widely used as novel biomarkers in the diagnosis of various diseases, but whether radiomics features …
Cite DOI URL
Feasibility study of functional near-infrared spectroscopy in the ventral visual pathway for real-life applications
Cite DOI URL
Multimodal contrastive learning for brain–machine fusion: From brain-in-the-loop modeling to brain-out-of-the-loop application
Harnessing the complementarity between the brain and artificial neural networks has shown great promise for the development of novel …
Cite DOI URL
Positive-unlabeled learning for coronary artery segmentation in CCTA images
Accurate three-dimensional (3D) segmentation of the coronary artery is an essential step in the quantitative analysis of the coronary …
Cite DOI URL
Relationship Between the Parietal Cortex and Task Switching: Transcranial Direct Current Stimulation Combined with an Event-related Potential Study
Task switching refers to a set of cognitive processes involved in shifting attention from one task to another. In recent years, …
Cite DOI URL
High-Resolution Swin Transformer for Automatic Medical Image Segmentation
The resolution of feature maps is a critical factor for accurate medical image segmentation. Most of the existing Transformer-based …
Cite DOI URL
KeyShip: Towards High-Precision Oriented SAR Ship Detection Using Key Points
Synthetic Aperture Radar (SAR) is an all-weather sensing technology that has proven its effectiveness for ship detection. However, …
Cite DOI URL
NPENAS: Neural Predictor Guided Evolution for Neural Architecture Search
Neural architecture search (NAS) adopts a search strategy to explore the predefined search space to find superior architecture with the …
Cite DOI URL
RTV-SIFT: Harnessing Structure Information for Robust Optical and SAR Image Registration
Registration of optical and synthetic aperture radar (SAR) images is challenging because extracting located identically and unique …
Cite DOI URL
Towards better utilization of pseudo labels for weakly supervised temporal action localization
Weakly supervised temporal action localization (WS-TAL) aims to simultaneously recognize and localize action instances of interest in …
Cite DOI URL