Jialin Peng

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 28

Top Topics

Electron Microscopy

Automatic Segmentation

Brain Tumor Segmentation

Top Venues

IEEE J. Biomed. Health Informatics

Intell. Autom. Soft Comput.

Publications

Dafei Qiu, Shan Xiong, Jiajin Yi, Jialin Peng
Weakly-Supervised Cross-Domain Segmentation of Electron Microscopy with Sparse Point Annotation. CoRR (2024)
Jialin Peng, Fubing Zha, Tianzhe Xie, Kai Yuan, Kai-Yu Tong, Shi-Chun Bao
Phase Transfer Entropy to Assess Nonlinear Functional Corticokinematic Coupling. NER (2023)
Dafei Qiu, Jiajin Yi, Jialin Peng
WDA-Net: Weakly-Supervised Domain Adaptive Segmentation of Electron Microscopy. BIBM (2022)
Peixu Wang, Shikun Liu, Jialin Peng
AST-Net: Lightweight Hybrid Transformer for Multimodal Brain Tumor Segmentation. ICPR (2022)
Dafei Qiu, Jiajin Yi, Jialin Peng
WDA-Net: Weakly-Supervised Domain Adaptive Segmentation of Electron Microscopy. CoRR (2022)
Zhengrong Luo, Zhongdao Jia, Zhimin Yuan, Jialin Peng
HDC-Net: Hierarchical Decoupled Convolution Network for Brain Tumor Segmentation. IEEE J. Biomed. Health Informatics 25 (3) (2021)
Jialin Peng, Ye Wang
Medical Image Segmentation With Limited Supervision: A Review of Deep Network Models. IEEE Access 9 (2021)
Lai Song, Jiajin Yi, Jialin Peng
LCC-Net: A Lightweight Cross-Consistency Network for Semisupervised Cardiac MR Image Segmentation. Comput. Math. Methods Medicine 2021 (2021)
Jialin Peng, Ye Wang
Medical Image Segmentation with Limited Supervision: A Review of Deep Network Models. CoRR (2021)
Zhimin Yuan, Xiaofen Ma, Jiajin Yi, Zhengrong Luo, Jialin Peng
HIVE-Net: Centerline-Aware HIerarchical View-Ensemble Convolutional Network for Mitochondria Segmentation in EM Images. CoRR (2021)
Jialin Peng, Zhengrong Luo
CS-Net: Instance-aware cellular segmentation with hierarchical dimension-decomposed convolutions and slice-attentive learning. Knowl. Based Syst. 232 (2021)
Zhimin Yuan, Xiaofen Ma, Jiajin Yi, Zhengrong Luo, Jialin Peng
HIVE-Net: Centerline-aware hierarchical view-ensemble convolutional network for mitochondria segmentation in EM images. Comput. Methods Programs Biomed. 200 (2021)
Ye Wang, Jialin Peng, Zhongdao Jia
Brain tumor segmentation via C-dense convolutional neural network. Prog. Artif. Intell. 10 (2) (2021)
Jiajin Yi, Zhimin Yuan, Jialin Peng
Adversarial-Prediction Guided Multi-Task Adaptation for Semantic Segmentation of Electron Microscopy Images. ISBI (2020)
Zhimin Yuan, Jiajin Yi, Zhengrong Luo, Zhongdao Jia, Jialin Peng
EM-Net: Centerline-Aware Mitochondria Segmentation in EM Images Via Hierarchical View-Ensemble Convolutional Network. ISBI (2020)
Jialin Peng, Zhimin Yuan
Mitochondria Segmentation From EM Images via Hierarchical Structured Contextual Forest. IEEE J. Biomed. Health Informatics 24 (8) (2020)
Jialin Peng, Jiajin Yi, Zhimin Yuan
Unsupervised Mitochondria Segmentation in EM Images via Domain Adaptive Multi-Task Learning. IEEE J. Sel. Top. Signal Process. 14 (6) (2020)
Jiajin Yi, Zhimin Yuan, Jialin Peng
Adversarial-Prediction Guided Multi-task Adaptation for Semantic Segmentation of Electron Microscopy Images. CoRR (2020)
Jialin Peng, Xiaofeng Zhu, Ye Wang, Le An, Dinggang Shen
Structured sparsity regularized multiple kernel learning for Alzheimer's disease diagnosis. Pattern Recognit. 88 (2019)
Zhimin Yuan, Jialin Peng
EM-NET: Centerline-Aware Mitochondria Segmentation in EM Images via Hierarchical View-Ensemble Convolutional Network. CoRR (2019)
Zhongdao Jia, Zhimin Yuan, Jialin Peng
Multimodal Brain Tumor Segmentation Using Encoder-Decoder with Hierarchical Separable Convolution. MBIA/MFCA@MICCAI (2019)
Jiajin Yi, Zhimin Yuan, Jialin Peng
Automatic Segmentation of Mitochondria from EM Images via Hierarchical Context Forest. IDMB (2019)
Qianting Ma, Jialin Peng, Dexing Kong
Image Segmentation via Mean Curvature Regularized Mumford-Shah Model and Thresholding. Neural Process. Lett. 48 (2) (2018)
Hongbo Zhang, Bineng Zhong, Qing Lei, Ji-Xiang Du, Jialin Peng, Duansheng Chen, Xiao Ke
Sparse Representation-Based Semi-Supervised Regression for People Counting. ACM Trans. Multim. Comput. Commun. Appl. 13 (4) (2017)
Peijun Hu, Fa Wu, Jialin Peng, Yuanyuan Bao, Feng Chen, Dexing Kong
Automatic abdominal multi-organ segmentation using deep convolutional neural network and time-implicit level sets. Int. J. Comput. Assist. Radiol. Surg. 12 (3) (2017)
Yuanyuan Li, Wanxu Zhang, Jianfu Cao, Jialin Peng, Bo Jiang, Lin Wang
3D laser scanner calibration method based on invasive weed optimization and Levenberg-Marquardt algorithm. CASE (2017)
Hongbo Zhang, Qing Lei, Duansheng Chen, Bineng Zhong, Jialin Peng, Ji-Xiang Du, Song-Zhi Su
Probability-based method for boosting human action recognition using scene context. IET Comput. Vis. 10 (6) (2016)
Hongbo Zhang, Qing Lei, Bineng Zhong, Ji-Xiang Du, Jialin Peng
A Survey on Human Pose Estimation. Intell. Autom. Soft Comput. 22 (3) (2016)
Jialin Peng, Benny Y. C. Hon, Dexing Kong
A structural low rank regularization method for single image super-resolution. Mach. Vis. Appl. 26 (7-8) (2015)
Fangfang Dong, Jialin Peng
Brain MR image segmentation based on local Gaussian mixture model and nonlocal spatial regularization. J. Vis. Commun. Image Represent. 25 (5) (2014)
Jialin Peng, Ye Wang, Dexing Kong
Liver segmentation with constrained convex variational model. Pattern Recognit. Lett. 43 (2014)
Qiong Lou, Jialin Peng, Fa Wu, Dexing Kong
Variational Model for Image Segmentation. ISVC (2) (2013)
Jialin Peng, Jinwei Wang, Dexing Kong
A new convex variational model for liver segmentation. ICPR (2012)