An adaptive meshless method for spectrally resolved bioluminescence tomography. - Chenghu Qin; Jie Tian 001; Xin Yang 001; Kai Liu 010; Jinchao Feng; Guorui Yan; Shouping Zhu; Min Xu (ICIP, 2009)

Cone Beam Micro-CT System for Small Animal Imaging and Performance Evaluation. - Shouping Zhu; Jie Tian 001; Guorui Yan; Chenghu Qin; Jinchao Feng (Int. J. Biomed. Imaging, 2009)

Spectrally resolved bioluminescence tomography with Huber-Markov random-field regularization. - Jinchao Feng; Kebin Jia (BCB, 2010)

Sparsity-Promoting Tomographic Fluorescence Imaging With Simplified Spherical Harmonics Approximation. - Dong Han; Jie Tian 001; Kai Liu 010; Jinchao Feng; Bo Zhang; Xibo Ma; Chenghu Qin (IEEE Trans. Biomed. Eng., 2010)

Total variation regularization for bioluminescence tomography with an adaptive parameter choice approach. - Jinchao Feng; Xiaowei Jia; Kebin Jia; Chenghu Qin; Jie Tian 001 (EMBC, 2011)

Sparse Reconstruction for Bioluminescence Tomography Based on the Semigreedy Method. - Wei Guo; Kebin Jia; Qian Zhang; Xueyan Liu 004; Jinchao Feng; Chenghu Qin; Xibo Ma; Xin Yang 001; Jie Tian 001 (Comput. Math. Methods Medicine, 2012)

Critical protein detection in dynamic PPI networks with multi-source integrated deep belief nets. - Yuan Zhang 030; Nan Du 001; Kang Li 003; Jinchao Feng; Kebin Jia; Aidong Zhang (BIBM, 2013)

Improved Reconstruction Quality of Bioluminescent Images by Combining SP3 Equations and Bregman Iteration Method. - Qiang Wu; Jinchao Feng; Kebin Jia; Xiangyu Wang (Comput. Math. Methods Medicine, 2013)

A Water Environment Security Monitoring Algorithm Based on Intelligent Video Surveillance. - Zihan Pang; Kebin Jia; Jinchao Feng (IIH-MSP, 2014)

Investigation of an adaptive regularization parameter selection methodin bioluminescence tomography. - Jinchao Feng; Ming Jie Yang; Kebin Jia (ISBI, 2014)

The Real-Time Depth Map Obtainment Based on Stereo Matching. - Fei Wang; Kebin Jia; Jinchao Feng (ECC, 2016)

A novel reconstruction algorithm for bioluminescent tomography based on Bayesian compressive sensing. - Yaqi Wang; Jinchao Feng; Kebin Jia; Zhonghua Sun 003; Huijun Wei (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2016)

A Lung Disease Classification Based on Feature Fusion Convolutional Neural Network with X-ray Image Enhancement. - Yue Cheng; Jinchao Feng; Kebin Jia (APSIPA, 2018)

Direct Regularization From Co-Registered Contrast MRI Improves Image Quality of MRI-Guided Near-Infrared Spectral Tomography of Breast Lesions. - Limin Zhang; Shudong Jiang; Yan Zhao; Jinchao Feng; Brian W. Pogue; Keith D. Paulsen (IEEE Trans. Medical Imaging, 2018)

Identification of the Best Hyperspectral Indices in Estimating Plant Species Richness in Sandy Grasslands. - Yu Peng; Min Fan; Lan Bai; Weiguo Sang; Jinchao Feng; Zhixin Zhao; Ziye Tao (Remote. Sens., 2019)

Correction to: Survey: smartphone-based assessment of cardiovascular diseases using ECG and PPG analysis. - Muhammad Shabaan; Kaleem Arshid; Muhammad Yaqub; Jinchao Feng; M. Sultan Zia; Giridhar Reddy Boja; Muazzam Iftikhar; Usman Ghani; Loknath Sai Ambati; Rizwan Munir (BMC Medical Informatics Decis. Mak., 2020)

Data-driven discovery of interacting particle systems using Gaussian processes. - Jinchao Feng; Yunxiang Ren; Sui Tang (CoRR, 2021)

An Efficient Lightweight Spatio-temporal Attention Module for Action Recognition. - Zhonghua Sun 003; Meng Dai; Ziwen Yi; Tianyi Wang; Jinchao Feng; Kebin Jia (ICCPR, 2022)

Vehicle Re-identification Based on Multi-Scale Attention Feature Fusion. - Geyan Su; Zhonghua Sun 003; Kebin Jia; Jinchao Feng (ICCPR, 2022)

A Large Scale Document-Term Matching Method Based on Information Retrieval. - Jinchao Feng; Runbo Zhao; Jianguo Jiang (ISPA/BDCloud/SocialCom/SustainCom, 2022)

Learning Interaction Variables and Kernels from Observations of Agent-Based Systems. - Jinchao Feng; Mauro Maggioni; Patrick Martin; Ming Zhong 008 (CoRR, 2022)

Model Uncertainty and Correctability for Directed Graphical Models. - Panagiota Birmpa; Jinchao Feng; Markos A. Katsoulakis; Luc Rey-Bellet (SIAM/ASA J. Uncertain. Quantification, 2022)

Intelligent Breast Cancer Diagnosis with Heuristic-assisted Trans-Res-U-Net and Multiscale DenseNet using Mammogram Images. - Muhammad Yaqub; Jinchao Feng (CoRR, 2023)

Learning Collective Behaviors from Observation. - Jinchao Feng; Ming Zhong 008 (CoRR, 2023)

Data-Driven Model Selections of Second-Order Particle Dynamics via Integrating Gaussian Processes with Low-Dimensional Interacting Structures. - Jinchao Feng; Charles Kulick; Sui Tang (CoRR, 2023)

Learning particle swarming models from data with Gaussian processes. - Jinchao Feng; Charles Kulick; Yunxiang Ren; Sui Tang (Math. Comput., 2023)

Global spatio-temporal synergistic topology learning for skeleton-based action recognition. - Meng Dai; Zhong-Hua Sun 003; Tianyi Wang; Jinchao Feng; Kebin Jia (Pattern Recognit., 2023)

Multimodal Physiological Signal Analysis Using Attention-Based Feature and Model Fusion. - Wei Liu; Kebin Jia; Zhonghua Sun 003; Jinchao Feng; Xiaohu Zhao (BI (1), 2024)

ADLER-MRI: Adaptive Deep Learning for Enhanced MRI Reconstruction with Noise-Resilient Models. - Shahzad Ahmed; Jinchao Feng; Malik Abdul Manan; Muhammad Yaqub; Kebin Jia; Zhonghua Sun 003 (ISBI, 2024)

Spatio-Temporal Multi-Factor Network Based on Attention Mechanism for Traffic Prediction. - Yutong Li; Zhonghua Sun 003; Kebin Jia; Jinchao Feng; Xinke Wang (WI/IAT, 2024)

GAF-Based Multimodal Time Series Data Fusion for Water Depth Monitoring in Headwater Streams. - Xiaohu Zhao; Kebin Jia; Yue Zhang; Zhonghua Sun 003; Jinchao Feng; Wei Liu (WI/IAT, 2024)

Scalable iterative data-adaptive RKHS regularization. - Haibo Li; Jinchao Feng; Fei Lu (CoRR, 2024)

DPE-Net: Dual-Parallel Encoder Based Network for Semantic Segmentation of Polyps. - Malik Abdul Manan; Jinchao Feng; Shahzad Ahmed; Abdul Raheem (CoRR, 2024)

Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps. - Malik Abdul Manan; Jinchao Feng; Muhammad Yaqub; Shahzad Ahmed; Syed Muhammad Ali Imran; Imran Shabir Chuhan; Haroon Ahmed Khan (CoRR, 2024)

Enhancing colorectal polyp segmentation with TCFMA-Net: A transformer-based cross feature and multi-attention network. - Malik Abdul Manan; Jinchao Feng; Shahzad Ahmed; Abdul Raheem (Artif. Intell. Medicine, 2025)

FedGraphMRI-net: A federated graph neural network framework for robust MRI reconstruction across non-IID data. - Shahzad Ahmed; Jinchao Feng; Malik Abdul Manan; Muhammad Yaqub; Muhammad Usman Ali; Abdul Raheem (Biomed. Signal Process. Control., 2025)

PINN-DADif: Physics-informed deep adaptive diffusion network for robust and efficient MRI reconstruction. - Shahzad Ahmed; Jinchao Feng; Atif Mehmood; Muhammad Usman Ali; Muhammad Yaqub; Malik Abdul Manan; Abdul Raheem (Digit. Signal Process., 2025)

Dynamic anomaly detection in blast furnace operations using a Transformer-Enhanced Isolation Forest framework. - Junyi Duan; Jinchao Feng (Eng. Appl. Artif. Intell., 2025)

Multiscale Feature Fusion Booster Network for Segmentation of Colorectal Polyp. - Malik Abdul Manan; Jinchao Feng; Shahzad Ahmed; Abdul Raheem (Int. J. Imaging Syst. Technol., 2025)

MRI-Guided Near-Infrared Spectroscopic Tomography (MRg-NIRST) Imaging System With Wearable Breast Optical Interface for Breast Cancer Imaging. - Mengyang Zhao; Xu Cao; Jinchao Feng; Mingwei Zhou; Chengpu Wei; Roberta M. diFlorio-Alexander; Brian W. Pogue; Shudong Jiang; Keith D. Paulsen (IEEE Trans. Biomed. Eng., 2025)

A Sparse Bayesian Learning Algorithm for Estimation of Interaction Kernels in Motsch-Tadmor Model. - Jinchao Feng; Sui Tang (CoRR, 2025)

Model-Based Convolution Neural Network for 3D Near-Infrared Spectral Tomography. - Chengpu Wei; Zhe Li; Ting Hu; Mengyang Zhao; Zhonghua Sun 003; Kebin Jia; Jinchao Feng; Brian W. Pogue; Keith D. Paulsen; Shudong Jiang (IEEE Trans. Medical Imaging, 2025)

Ground-based cloud classification algorithm based on weakly supervised attention learning. - Leyuan Xing; Zhonghua Sun; Kebin Jia; Jinchao Feng (Signal Image Video Process., 2025)