Jialin Peng

According to our database, Jialin Peng authored at least 28 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Phase Transfer Entropy to Assess Nonlinear Functional Corticokinematic Coupling.

Jialin Peng, Fubing Zha, Tianzhe Xie, Kai Yuan, Kai-Yu Tong, Shi-Chun Bao

Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023

2022

AST-Net: Lightweight Hybrid Transformer for Multimodal Brain Tumor Segmentation.

Peixu Wang, Shikun Liu, Jialin Peng

Proceedings of the 26th International Conference on Pattern Recognition, 2022

WDA-Net: Weakly-Supervised Domain Adaptive Segmentation of Electron Microscopy.

Dafei Qiu, Jiajin Yi, Jialin Peng

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

HDC-Net: Hierarchical Decoupled Convolution Network for Brain Tumor Segmentation.

Zhengrong Luo, Zhongdao Jia, Zhimin Yuan, Jialin Peng

IEEE J. Biomed. Health Informatics, 2021

Brain tumor segmentation via C-dense convolutional neural network.

Ye Wang, Jialin Peng, Zhongdao Jia

Prog. Artif. Intell., 2021

CS-Net: Instance-aware cellular segmentation with hierarchical dimension-decomposed convolutions and slice-attentive learning.

Jialin Peng, Zhengrong Luo

Knowl. Based Syst., 2021

HIVE-Net: Centerline-aware hierarchical view-ensemble convolutional network for mitochondria segmentation in EM images.

Zhimin Yuan, Xiaofen Ma, Jiajin Yi, Zhengrong Luo, Jialin Peng

Comput. Methods Programs Biomed., 2021

LCC-Net: A Lightweight Cross-Consistency Network for Semisupervised Cardiac MR Image Segmentation.

Lai Song, Jiajin Yi, Jialin Peng

Comput. Math. Methods Medicine, 2021

Medical Image Segmentation With Limited Supervision: A Review of Deep Network Models.

Jialin Peng, Ye Wang

IEEE Access, 2021

2020

Mitochondria Segmentation From EM Images via Hierarchical Structured Contextual Forest.

Jialin Peng, Zhimin Yuan

IEEE J. Biomed. Health Informatics, 2020

Unsupervised Mitochondria Segmentation in EM Images via Domain Adaptive Multi-Task Learning.

Jialin Peng, Jiajin Yi, Zhimin Yuan

IEEE J. Sel. Top. Signal Process., 2020

EM-Net: Centerline-Aware Mitochondria Segmentation in EM Images Via Hierarchical View-Ensemble Convolutional Network.

Zhimin Yuan, Jiajin Yi, Zhengrong Luo, Zhongdao Jia, Jialin Peng

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Adversarial-Prediction Guided Multi-Task Adaptation for Semantic Segmentation of Electron Microscopy Images.

Jiajin Yi, Zhimin Yuan, Jialin Peng

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Structured sparsity regularized multiple kernel learning for Alzheimer's disease diagnosis.

Jialin Peng, Xiaofeng Zhu, Ye Wang, Le An, Dinggang Shen

Pattern Recognit., 2019

EM-NET: Centerline-Aware Mitochondria Segmentation in EM Images via Hierarchical View-Ensemble Convolutional Network.

Zhimin Yuan, Jialin Peng

CoRR, 2019

Multimodal Brain Tumor Segmentation Using Encoder-Decoder with Hierarchical Separable Convolution.

Zhongdao Jia, Zhimin Yuan, Jialin Peng

Proceedings of the Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy, 2019

Automatic Segmentation of Mitochondria from EM Images via Hierarchical Context Forest.

Jiajin Yi, Zhimin Yuan, Jialin Peng

Proceedings of the Recent Advances in Data Science, 2019

2018

Image Segmentation via Mean Curvature Regularized Mumford-Shah Model and Thresholding.

Qianting Ma, Jialin Peng, Dexing Kong

Neural Process. Lett., 2018

2017

Sparse Representation-Based Semi-Supervised Regression for People Counting.

Hongbo Zhang, Bineng Zhong, Qing Lei, Ji-Xiang Du, Jialin Peng, Duansheng Chen, Xiao Ke

ACM Trans. Multim. Comput. Commun. Appl., 2017

Automatic abdominal multi-organ segmentation using deep convolutional neural network and time-implicit level sets.

Peijun Hu, Fa Wu, Jialin Peng, Yuanyuan Bao, Feng Chen, Dexing Kong

Int. J. Comput. Assist. Radiol. Surg., 2017

3D laser scanner calibration method based on invasive weed optimization and Levenberg-Marquardt algorithm.

Yuanyuan Li, Wanxu Zhang, Jianfu Cao, Jialin Peng, Bo Jiang, Lin Wang

Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017

2016

Probability-based method for boosting human action recognition using scene context.

Hongbo Zhang, Qing Lei, Duansheng Chen, Bineng Zhong, Jialin Peng, Ji-Xiang Du, Song-Zhi Su

IET Comput. Vis., 2016

A Survey on Human Pose Estimation.

Hongbo Zhang, Qing Lei, Bineng Zhong, Ji-Xiang Du, Jialin Peng

Intell. Autom. Soft Comput., 2016

2015

A structural low rank regularization method for single image super-resolution.

Jialin Peng, Benny Y. C. Hon, Dexing Kong

Mach. Vis. Appl., 2015

2014

Liver segmentation with constrained convex variational model.

Jialin Peng, Ye Wang, Dexing Kong

Pattern Recognit. Lett., 2014

Brain MR image segmentation based on local Gaussian mixture model and nonlocal spatial regularization.

Fangfang Dong, Jialin Peng

J. Vis. Commun. Image Represent., 2014

2013

Variational Model for Image Segmentation.

Qiong Lou, Jialin Peng, Fa Wu, Dexing Kong

Proceedings of the Advances in Visual Computing - 9th International Symposium, 2013

2012

A new convex variational model for liver segmentation.

Jialin Peng, Jinwei Wang, Dexing Kong

Proceedings of the 21st International Conference on Pattern Recognition, 2012