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ORCIDJialin Peng
2020 – today
- 2024
[i6]Dafei Qiu, Shan Xiong, Jiajin Yi, Jialin Peng:
Weakly-Supervised Cross-Domain Segmentation of Electron Microscopy with Sparse Point Annotation. CoRR abs/2404.00667 (2024)- 2023
- [c10]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: 1-4 - 2022
- [c9]Dafei Qiu, Jiajin Yi, Jialin Peng:
WDA-Net: Weakly-Supervised Domain Adaptive Segmentation of Electron Microscopy. BIBM 2022: 1132-1137 - [c8]Peixu Wang, Shikun Liu, Jialin Peng:
AST-Net: Lightweight Hybrid Transformer for Multimodal Brain Tumor Segmentation. ICPR 2022: 4623-4629 - [i5]Dafei Qiu, Jiajin Yi, Jialin Peng:
WDA-Net: Weakly-Supervised Domain Adaptive Segmentation of Electron Microscopy. CoRR abs/2210.13109 (2022) - 2021
- [j17]Jialin Peng
, Ye Wang:
Medical Image Segmentation With Limited Supervision: A Review of Deep Network Models. IEEE Access 9: 36827-36851 (2021) - [j16]Lai Song, Jiajin Yi, Jialin Peng:
LCC-Net: A Lightweight Cross-Consistency Network for Semisupervised Cardiac MR Image Segmentation. Comput. Math. Methods Medicine 2021: 9960199:1-9960199:9 (2021) - [j15]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: 105925 (2021) - [j14]Jialin Peng, Zhengrong Luo:
CS-Net: Instance-aware cellular segmentation with hierarchical dimension-decomposed convolutions and slice-attentive learning. Knowl. Based Syst. 232: 107485 (2021) - [j13]Ye Wang, Jialin Peng, Zhongdao Jia:
Brain tumor segmentation via C-dense convolutional neural network. Prog. Artif. Intell. 10(2): 147-156 (2021) - [j12]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): 737-745 (2021) - [i4]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 abs/2101.02877 (2021) - [i3]Jialin Peng, Ye Wang:
Medical Image Segmentation with Limited Supervision: A Review of Deep Network Models. CoRR abs/2103.00429 (2021) - 2020
- [j11]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): 1199-1209 (2020) - [j10]Jialin Peng, Zhimin Yuan:
Mitochondria Segmentation From EM Images via Hierarchical Structured Contextual Forest. IEEE J. Biomed. Health Informatics 24(8): 2251-2259 (2020) - [c7]Jiajin Yi, Zhimin Yuan, Jialin Peng:
Adversarial-Prediction Guided Multi-Task Adaptation for Semantic Segmentation of Electron Microscopy Images. ISBI 2020: 1205-1208 - [c6]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: 1219-1222 - [i2]Jiajin Yi, Zhimin Yuan, Jialin Peng:
Adversarial-Prediction Guided Multi-task Adaptation for Semantic Segmentation of Electron Microscopy Images. CoRR abs/2004.02134 (2020)
2010 – 2019
- 2019
- [j9]Jialin Peng, Xiaofeng Zhu, Ye Wang, Le An, Dinggang Shen:
Structured sparsity regularized multiple kernel learning for Alzheimer's disease diagnosis. Pattern Recognit. 88: 370-382 (2019) - [c5]Jiajin Yi, Zhimin Yuan, Jialin Peng:
Automatic Segmentation of Mitochondria from EM Images via Hierarchical Context Forest. IDMB 2019: 221-233 - [c4]Zhongdao Jia, Zhimin Yuan, Jialin Peng:
Multimodal Brain Tumor Segmentation Using Encoder-Decoder with Hierarchical Separable Convolution. MBIA/MFCA@MICCAI 2019: 130-138 - [i1]Zhimin Yuan, Jialin Peng:
EM-NET: Centerline-Aware Mitochondria Segmentation in EM Images via Hierarchical View-Ensemble Convolutional Network. CoRR abs/1912.00201 (2019) - 2018
- [j8]Qianting Ma, Jialin Peng, Dexing Kong:
Image Segmentation via Mean Curvature Regularized Mumford-Shah Model and Thresholding. Neural Process. Lett. 48(2): 1227-1241 (2018) - 2017
- [j7]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): 399-411 (2017) - [j6]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): 47:1-47:17 (2017) - [c3]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: 1280-1285 - 2016
- [j5]Hongbo Zhang, Qing Lei, Bineng Zhong, Ji-Xiang Du, Jialin Peng:
A Survey on Human Pose Estimation. Intell. Autom. Soft Comput. 22(3): 483-489 (2016) - [j4]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): 528-536 (2016) - 2015
- [j3]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): 991-1005 (2015) - 2014
- [j2]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): 827-839 (2014) - [j1]Jialin Peng, Ye Wang, Dexing Kong:
Liver segmentation with constrained convex variational model. Pattern Recognit. Lett. 43: 81-88 (2014) - 2013
- [c2]Qiong Lou, Jialin Peng, Fa Wu, Dexing Kong:
Variational Model for Image Segmentation. ISVC (2) 2013: 653-662 - 2012
- [c1]Jialin Peng, Jinwei Wang, Dexing Kong:
A new convex variational model for liver segmentation. ICPR 2012: 3754-3757
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