Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Mar 27, 2014
Medical image retrieval and classification have been extremely active research topics over the past 15 years. Within the ImageCLEF benchmark in medical image retrieval and classification, a standard test bed was created that allows researchers to com...
PURPOSE: Long scanning time greatly hinders the widespread application of spin-lattice relaxation in rotating frame (T1ρ) in clinics. In this study, a novel method is proposed to reconstruct the T1ρ-weighted images from undersampled k-space data and ...
IEEE journal of biomedical and health informatics
Feb 10, 2014
Automated cell segmentation for microscopy cell images has recently become an initial step for further image analysis in cell biology. However, microscopy cell images are easily degraded by noise during the readout procedure via optical-electronic im...
IEEE transactions on neural networks and learning systems
Nov 1, 2025
Graph convolutional networks (GCNs) have shown great prowess in learning topological relationships among electroencephalogram (EEG) channels for EEG-based emotion recognition. However, most existing GCN-only methods are designed with a single spatial...
Neural networks : the official journal of the International Neural Network Society
Sep 1, 2025
Anomaly detection in intelligent surveillance system is an important and challenging task, which commonly learns a model describing normal patterns via frame reconstruction or prediction and assumes that anomalies deviate form the learned normal mode...
Neural networks : the official journal of the International Neural Network Society
Sep 1, 2025
Image-based virtual try-on technology digitally overlays clothing onto images of individuals, enabling users to preview how garments fit without physical trial, thus enhancing the online shopping experience. While current diffusion-based virtual try-...
Neural networks : the official journal of the International Neural Network Society
Sep 1, 2025
Few-shot object detection is a challenging task that aims to quickly adapt detectors to detect novel objects with only a minimal number of annotated examples. Although promising results have been achieved, performance still declines significantly whe...
Neural networks : the official journal of the International Neural Network Society
Sep 1, 2025
Referring Video Object Segmentation (RVOS) addresses the task of segmenting target objects described by textual descriptions from videos. In order to ensure the consistency of objects segmented from video frames, inter-frame modeling is adopted to ca...
Neural networks : the official journal of the International Neural Network Society
Sep 1, 2025
In the field of real-time stereo matching, a concise and informative cost volume is crucial for achieving high efficiency and accuracy. To this end, in this paper, we propose the Tri-Fusion Volume (TFV) to effectively fuse both texture details and si...
Neural networks : the official journal of the International Neural Network Society
Sep 1, 2025
Neural networks have become the standard approach for tasks such as computer vision, machine translation and pattern recognition. While they exhibit significant feature representation capabilities, they often lack interpretability. This suggests that...
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