冯金旺｜重庆师范大学｜学者主页

2026

SPSCNet: A slice-differential pseudo-time sparse coding network for Alzheimer’s disease classification

Chunsheng Xiao, Jinwang Feng

Biomedical Signal Processing and Control

DOI

2026

Bidirectional Variational Learning with Modal-Scale Experts: Advancing Few-Shot 1P/19Q Co-Deletion Prediction in Glioma MRI

Junshan Chen, Wenlong Lin, Jinwang Feng, Liqiang Zhang, Shaoguo Cui

IEEE International Conference on Acoustics Speech and Signal Processing

DOI

2026

An Optimized Convolutional Block Attention Module-Based Method for Diabetic Retinopathy Classification

Niqian Du, Zining Dang, Jinwang Feng

DOI

2026

Performance–Reliability Trade-off Study of Small-Scale Deep Ensembles under Time Constraints in Diabetic Retinopathy Screening

Hanxu Yang, Jinwang Feng

International Conference on Image and Graphics Processing (ICIGP)

DOI

2025

HNNet: Histogrammic Neural Network for Rapidly Detecting Diabetic Retinopathy with Retinal Fundus Images

Jinwang Feng, Xiaoli Cui, Yanmin Niu, Huan Long

DOI

2025

Enhanced Hemorrhagic Transformation Prediction Leveraging CT Imaging and Lesion Segmentation Guidance

Haodong Xu, Huanhuan Ren, Jinwang Feng, Jingfeng Jiang, Yongmei Li, Shaoguo Cui

Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics

DOI

2025

stGuide advances label transfer in spatial transcriptomics through attention-based supervised graph representation learning

Yupeng Xu, Hao Dai, Jinwang Feng, Keren Xu, Qiu Wang, Pingting Gao, Chunman Zuo

Frontiers in Genetics

DOI

2025

Integrating imaging and genetic data via wavelet transform-based CNN for Alzheimer ’s disease classification

Jinwang Feng, Mingfeng Jiang, Haowen Zhang, Lingzhi Yin

Biomedical Signal Processing and Control

DOI

2025

Advanced Predictive Analytics for Hemorrhagic Complications: A Multi-modal Contrastive Learning and Stacking Ensemble Approach

Shaoguo Cui, Haodong Xu, Huanhuan Ren, Jinwang Feng, Yongmei Li, Haojie Song

Lecture notes in computer science

DOI

2024

CM-HTNet: CNN-Mamba-based Framework for Predicting Hemorrhagic Transformation Risk of AIS Patients using Sequence Relationship Modeling and Multi-Modal Cross Attention

Yuxiang Huang, Huanhuan Ren, Yongmei Li, Jingfeng Jiang, Haodong Xu, Jinwang Feng, Shaoguo Cui

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

DOI

2022

基于多源医学数据的AD分类及其病变组织检测

冯金旺

《西北工业大学》

2022

Elucidating tumor heterogeneity from spatially resolved transcriptomics data by multi-view graph collaborative learning

Chunman Zuo, Yi-jian Zhang, Chen Cao, Jinwang Feng, Mingqi Jiao, Luo-Nan Chen

Nature Communications

DOI

2022

Detection of Alzheimer's disease using features of brain region-of-interest-based individual network constructed with the sMRI image

Jinwang Feng, Shaowu Zhang, Luonan Chen, Chunman Zuo, Alzheimer's Disease Neuroimaging Initiative

Comput. Medical Imaging Graph.

DOI

2021

Extracting ROI-Based Contourlet Subband Energy Feature From the sMRI Image for Alzheimer’s Disease Classification

Jinwang Feng, Shaowu Zhang, Luo-Nan Chen

IEEE/ACM Transactions on Computational Biology & Bioinformatics

DOI

2021

Alzheimer's disease classification using features extracted from nonsubsampled contourlet subband-based individual networks

Jinwang Feng, Shaowu Zhang, Luo-Nan Chen, Jie Xia

Neurocomputing

DOI

2020

Identification of Alzheimer's disease based on wavelet transformation energy feature of the structural MRI image and NN classifier

Jinwang Feng, Shaowu Zhang, Luo-Nan Chen, Alzheimer's Disease Neuroimaging Initiative

Artif. Intell. Medicine

DOI

2017

图像纹理局部结构分析及其分类方法研究

冯金旺

《河南科技大学》

2017

Multi-scale counting and difference representation for texture classification

Yong-Sheng Dong, Jinwang Feng, Chunlei Yang, Xiaohong Wang, Lintao Zheng, J. Pu

The Visual Computer

DOI

2017

Multiscale Sampling Based Texture Image Classification

Yong-Sheng Dong, Jinwang Feng, Ling-Fei Liang, Lintao Zheng, Qingtao Wu

IEEE Signal Processing Letters

DOI

2017

Structural difference histogram representation for texture image classification

Jinwang Feng, Xin-Liang Liu, Yong-Sheng Dong, Ling-Fei Liang, J. Pu

IET Image Processing

DOI

2015

Dominant-completed local binary pattern for texture classification

Jinwang Feng, Yong-Sheng Dong, Ling-Fei Liang, J. Pu

2015 IEEE International Conference on Information and Automation

DOI

2015

Object recognition based on Gabor wavelet and SVM

Lei Zhang, J. Pu, Yong-Sheng Dong, Jinwang Feng, Yang Zhang

2015 IEEE International Conference on Information and Automation

DOI

冯金旺

精选作品

期刊论文

SPSCNet: A slice-differential pseudo-time sparse coding network for Alzheimer’s disease classification

Bidirectional Variational Learning with Modal-Scale Experts: Advancing Few-Shot 1P/19Q Co-Deletion Prediction in Glioma MRI

An Optimized Convolutional Block Attention Module-Based Method for Diabetic Retinopathy Classification

Performance–Reliability Trade-off Study of Small-Scale Deep Ensembles under Time Constraints in Diabetic Retinopathy Screening

HNNet: Histogrammic Neural Network for Rapidly Detecting Diabetic Retinopathy with Retinal Fundus Images

Enhanced Hemorrhagic Transformation Prediction Leveraging CT Imaging and Lesion Segmentation Guidance

stGuide advances label transfer in spatial transcriptomics through attention-based supervised graph representation learning

Integrating imaging and genetic data via wavelet transform-based CNN for Alzheimer ’s disease classification

Advanced Predictive Analytics for Hemorrhagic Complications: A Multi-modal Contrastive Learning and Stacking Ensemble Approach

CM-HTNet: CNN-Mamba-based Framework for Predicting Hemorrhagic Transformation Risk of AIS Patients using Sequence Relationship Modeling and Multi-Modal Cross Attention

基于多源医学数据的AD分类及其病变组织检测

Elucidating tumor heterogeneity from spatially resolved transcriptomics data by multi-view graph collaborative learning

Detection of Alzheimer's disease using features of brain region-of-interest-based individual network constructed with the sMRI image

Extracting ROI-Based Contourlet Subband Energy Feature From the sMRI Image for Alzheimer’s Disease Classification

Alzheimer's disease classification using features extracted from nonsubsampled contourlet subband-based individual networks

Identification of Alzheimer's disease based on wavelet transformation energy feature of the structural MRI image and NN classifier

图像纹理局部结构分析及其分类方法研究

Multi-scale counting and difference representation for texture classification

Multiscale Sampling Based Texture Image Classification

Structural difference histogram representation for texture image classification

Dominant-completed local binary pattern for texture classification

Object recognition based on Gabor wavelet and SVM

研究方向