output
20172025
most citedA complete data processing workflow for CryoET and subtomogram averaging

292 citations

Showing cs.CVShow all

10 papers · 1 filter

cs.CV2025★ 3 cited

LEL: Lipschitz Continuity Constrained Ensemble Learning for Efficient EEG-Based Intra-subject Emotion Recognition

Shengyu Gong, Yueyang Li, Zijian Kang +6

Accurate and efficient recognition of emotional states is critical for human social functioning, and impairments in this ability are associated with significant psychosocial diffic…

cs.CV2025★ 1 cited

Information Bottleneck-Guided Heterogeneous Graph Learning for Interpretable Neurodevelopmental Disorder Diagnosis

Yueyang Li, Lei Chen, Wenhao Dong +9

Developing interpretable models for neurodevelopmental disorders (NDDs) diagnosis presents significant challenges in effectively encoding, decoding, and integrating multimodal neur…

cs.CV2024★ 4 cited

Symmetric Perception and Ordinal Regression for Detecting Scoliosis Natural Image

Xiaojia Zhu, Rui Chen, Xiaoqi Guo +4

Scoliosis is one of the most common diseases in adolescents. Traditional screening methods for the scoliosis usually use radiographic examination, which requires certified experts…

cs.CV2024

CurvNet: Latent Contour Representation and Iterative Data Engine for Curvature Angle Estimation

Zhiwen Shao, Yichen Yuan, Lizhuang Ma +1

Curvature angle is a quantitative measurement of a curve, in which Cobb angle is customized for spinal curvature. Automatic Cobb angle measurement from X-ray images is crucial for…

cs.CV2024★ 22 cited

EEG Emotion Copilot: Optimizing Lightweight LLMs for Emotional EEG Interpretation with Assisted Medical Record Generation

Hongyu Chen, Weiming Zeng, Chengcheng Chen +9

In the fields of affective computing (AC) and brain-machine interface (BMI), the analysis of physiological and behavioral signals to discern individual emotional states has emerged…

cs.CV2024★ 7 cited

Neural Modulation Alteration to Positive and Negative Emotions in Depressed Patients: Insights from fMRI Using Positive/Negative Emotion Atlas

Yu Feng, Weiming Zeng, Yifan Xie +8

Background: Although it has been noticed that depressed patients show differences in processing emotions, the precise neural modulation mechanisms of positive and negative emotions…

cs.CV2021★ 24 cited

CSC-Unet: A Novel Convolutional Sparse Coding Strategy Based Neural Network for Semantic Segmentation

Haitong Tang, Shuang He, Mengduo Yang +5

It is a challenging task to accurately perform semantic segmentation due to the complexity of real picture scenes. Many semantic segmentation methods based on traditional deep lear…

cs.CV2021★ 1 cited

Unsupervised Domain Adaptation Network with Category-Centric Prototype Aligner for Biomedical Image Segmentation

Ping Gong, Wenwen Yu, Qiuwen Sun +2

With the widespread success of deep learning in biomedical image segmentation, domain shift becomes a critical and challenging problem, as the gap between two domains can severely…

cs.CV2020★ 14 cited

PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks

Wenwen Yu, Ning Lu, Xianbiao Qi +2

Computer vision with state-of-the-art deep learning models has achieved huge success in the field of Optical Character Recognition (OCR) including text detection and recognition ta…

cs.CV2019★ 198 cited

MASTER: Multi-Aspect Non-local Network for Scene Text Recognition

Ning Lu, Wenwen Yu, Xianbiao Qi +4

Attention-based scene text recognizers have gained huge success, which leverages a more compact intermediate representation to learn 1d- or 2d- attention by a RNN-based encoder-dec…