| Automatic abdominal multi-organ segmentation using deep convolutional neural network and time-implicit level sets P Hu, F Wu, J Peng, Y Bao, F Chen, D Kong International Journal of Computer Assisted Radiology and Surgery 12 (3), 399 …, 2017 | 224 | 2017 |
| Automatic 3D liver segmentation based on deep learning and globally optimized surface evolution P Hu, F Wu, J Peng, P Liang, D Kong Physics in Medicine and Biology 61 (24), 8676–8698, 2016 | 215 | 2016 |
| EM-Net: Centerline-Aware Mitochondria Segmentation in EM Images via Hierarchical View-Ensemble Convolutional Network Z Yuan, J Yi, Z Luo, Z Jia, J Peng 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1219-1222, 2020 | 106* | 2020 |
| Structured Sparsity Regularized Multiple Kernel Learning for Alzheimer’s Disease Diagnosis J Peng, X Zhu, Y Wang, L An, D Shen Pattern Recognition 88, 370-382, 2019 | 95 | 2019 |
| HDC-Net: Hierarchical decoupled convolution network for brain tumor segmentation Z Luo, Z Jia, Z Yuan, J Peng IEEE Journal of Biomedical and Health Informatics 25 (3), 737-745, 2021 | 78 | 2021 |
| Multi-task diagnosis for autism spectrum disorders using multi-modality features: A multi-center study J Wang, Q Wang, J Peng, D Nie, F Zhao, M Kim, H Zhang, CY Wee, ... Human Brain Mapping 38 (6), 3081-3097, 2017 | 77 | 2017 |
| 3D liver segmentation using multiple region appearances and graph cuts J Peng, P Hu, F Lu, Z Peng, D Kong, H Zhang Medical physics 42 (12), 6840-6852, 2015 | 61 | 2015 |
| Medical image segmentation with limited supervision: a review of deep network models J Peng, Y Wang IEEE Access 9, 36827-36851, 2021 | 55 | 2021 |
| Liver segmentation with constrained convex variational model J Peng, Y Wang, D Kong Pattern Recognition Letters 43, 81-88, 2014 | 55 | 2014 |
| Structured sparse kernel learning for imaging genetics based Alzheimer’s disease diagnosis J Peng, L An, X Zhu, Y Jin, D Shen International Conference on Medical Image Computing and Computer-Assisted …, 2016 | 46 | 2016 |
| Brain MR Image Segmentation Based on Local Gaussian Mixture Model and Nonlocal Spatial Regularization F Dong, J Peng Journal of Visual Communication and Image Representation 25 (5), 827–839, 2014 | 41 | 2014 |
| A region‐appearance‐based adaptive variational model for 3D liver segmentation J Peng, F Dong, Y Chen, D Kong Medical physics 41 (4), 043502, 2014 | 39 | 2014 |
| A survey on human pose estimation HB Zhang, Q Lei, BN Zhong, JX Du, JL Peng Intelligent Automation & Soft Computing 22 (3), 483-489, 2016 | 35 | 2016 |
| 深度学习在医学影像中的应用综述 施俊， 汪琳琳， 王珊珊， 陈艳霞， 王乾， 魏冬铭， 梁淑君， 彭佳林， 易佳锦， ... 中国图象图形学报, 2020 | 19 | 2020 |
| Unsupervised Mitochondria Segmentation in EM Images via Domain Adaptive Multi-Task Learning J Peng, J Yi, Z Yuan IEEE Journal of Selected Topics in Signal Processing 14 (6), 2020 | 19 | 2020 |
| Mitochondria segmentation from EM images via hierarchical structured contextual forest J Peng, Z Yuan IEEE Journal of Biomedical and Health Informatics 24 (8), 2251-2259, 2020 | 17 | 2020 |
| HIVE-Net: Centerline-Aware Hierarchical View-Ensemble Convolutional Network for Mitochondria Segmentation in EM Images Z Yuan, X Ma, J Yi, Z Luo, J Peng Computer Methods and Programs in Biomedicine 200, 105925, 2021 | 15 | 2021 |
| Image Segmentation via Mean Curvature Regularized Mumford-Shah Model and Thresholding Q Ma, J Peng, D Kong Neural Processing Letters 48 (2), 1227–1241, 2018 | 12 | 2018 |
| Adversarial-prediction guided multi-task adaptation for semantic segmentation of electron microscopy images J Yi, Z Yuan, J Peng 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1205-1208, 2020 | 11 | 2020 |
| A New Convex Variational Model for Liver Segmentation J Peng, J Wang, D Kong International Conference on Pattern Recognition(ICPR), 3754-3757, 2012 | 10 | 2012 |
Dexing KongZhejiang UniversityVerified email at zju.edu.cn
