A new convex variational model for liver segmentation. - Jialin Peng; Jinwei Wang; Dexing Kong (ICPR, 2012)

Variational Model for Image Segmentation. - Qiong Lou; Jialin Peng; Fa Wu; Dexing Kong (ISVC (2), 2013)

Brain MR image segmentation based on local Gaussian mixture model and nonlocal spatial regularization. - Fangfang Dong; Jialin Peng (J. Vis. Commun. Image Represent., 2014)

Liver segmentation with constrained convex variational model. - Jialin Peng; Ye Wang; Dexing Kong (Pattern Recognit. Lett., 2014)

A structural low rank regularization method for single image super-resolution. - Jialin Peng; Benny Y. C. Hon; Dexing Kong (Mach. Vis. Appl., 2015)

A Survey on Human Pose Estimation. - Hongbo Zhang 002; Qing Lei; Bineng Zhong; Ji-Xiang Du; Jialin Peng (Intell. Autom. Soft Comput., 2016)

Probability-based method for boosting human action recognition using scene context. - Hongbo Zhang 002; Qing Lei; Duansheng Chen; Bineng Zhong; Jialin Peng; Ji-Xiang Du; Song-Zhi Su (IET Comput. Vis., 2016)

3D laser scanner calibration method based on invasive weed optimization and Levenberg-Marquardt algorithm. - Yuanyuan Li; Wanxu Zhang; Jianfu Cao; Jialin Peng; Bo Jiang 014; Lin Wang 026 (CASE, 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 038; Dexing Kong (Int. J. Comput. Assist. Radiol. Surg., 2017)

Sparse Representation-Based Semi-Supervised Regression for People Counting. - Hongbo Zhang 002; Bineng Zhong; Qing Lei; Ji-Xiang Du; Jialin Peng; Duansheng Chen; Xiao Ke (ACM Trans. Multim. Comput. Commun. Appl., 2017)

Image Segmentation via Mean Curvature Regularized Mumford-Shah Model and Thresholding. - Qianting Ma; Jialin Peng; Dexing Kong (Neural Process. Lett., 2018)

Automatic Segmentation of Mitochondria from EM Images via Hierarchical Context Forest. - Jiajin Yi; Zhimin Yuan; Jialin Peng (IDMB, 2019)

Multimodal Brain Tumor Segmentation Using Encoder-Decoder with Hierarchical Separable Convolution. - Zhongdao Jia; Zhimin Yuan; Jialin Peng (MBIA/MFCA@MICCAI, 2019)

EM-NET: Centerline-Aware Mitochondria Segmentation in EM Images via Hierarchical View-Ensemble Convolutional Network. - Zhimin Yuan; Jialin Peng (CoRR, 2019)

Structured sparsity regularized multiple kernel learning for Alzheimer's disease diagnosis. - Jialin Peng; Xiaofeng Zhu 001; Ye Wang; Le An; Dinggang Shen (Pattern Recognit., 2019)

Adversarial-Prediction Guided Multi-Task Adaptation for Semantic Segmentation of Electron Microscopy Images. - Jiajin Yi; Zhimin Yuan; Jialin Peng (ISBI, 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 (ISBI, 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)

Mitochondria Segmentation From EM Images via Hierarchical Structured Contextual Forest. - Jialin Peng; Zhimin Yuan (IEEE J. Biomed. Health Informatics, 2020)

Medical Image Segmentation With Limited Supervision: A Review of Deep Network Models. - Jialin Peng; Ye Wang (IEEE Access, 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)

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)

CS-Net: Instance-aware cellular segmentation with hierarchical dimension-decomposed convolutions and slice-attentive learning. - Jialin Peng; Zhengrong Luo (Knowl. Based Syst., 2021)

Brain tumor segmentation via C-dense convolutional neural network. - Ye Wang; Jialin Peng; Zhongdao Jia (Prog. Artif. Intell., 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)

WDA-Net: Weakly-Supervised Domain Adaptive Segmentation of Electron Microscopy. - Dafei Qiu; Jiajin Yi; Jialin Peng (BIBM, 2022)

AST-Net: Lightweight Hybrid Transformer for Multimodal Brain Tumor Segmentation. - Peixu Wang; Shikun Liu; Jialin Peng (ICPR, 2022)

Phase Transfer Entropy to Assess Nonlinear Functional Corticokinematic Coupling. - Jialin Peng; Fubing Zha; Tianzhe Xie; Kai Yuan; Kai-Yu Tong; Shi-Chun Bao (NER, 2023)

BiPrompt-SAM: Enhancing Image Segmentation via Explicit Selection between Point and Text Prompts. - Suzhe Xu; Jialin Peng; Chengyuan Zhang (CoRR, 2025)

Weakly-Supervised Cross-Domain Segmentation of Electron Microscopy With Sparse Point Annotation. - Dafei Qiu; Shan Xiong; Jiajin Yi; Jialin Peng (IEEE Trans. Big Data, 2025)