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Peijun Hu
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2020 – today
- 2023
- [j6]Peijun Hu, Xiang Li, Na Lu, Kaiqi Dong, Xueli Bai, Tingbo Liang, Jingsong Li:
Prediction of New-Onset Diabetes After Pancreatectomy With Subspace Clustering Based Multi-View Feature Selection. IEEE J. Biomed. Health Informatics 27(3): 1588-1599 (2023) - [c10]Peijun Hu, Xiang Li, Na Lu, Xueli Bai, Tingbo Liang, Jingsong Li:
Siamese Delta Network with Multimodality Fusion for Systemic Treatment Response Prediction in Pancreatic Cancer. EMBC 2023: 1-4 - [c9]Chao Huang, Peijun Hu, Yu Tian, Yiwei Gao, Yangyang Wang, Qi Zhang, Tingbo Liang, Jingsong Li:
Mining Whole-liver Information with Deep Learning for Preoperatively Predicting HCC Recurrence-free Survival. EMBC 2023: 1-4 - [c8]Yanxia Zhao, Peijun Hu, Jingsong Li:
Partial Label Multi-organ Segmentation based on Local Feature Enhancement. EMBC 2023: 1-4 - [c7]Jinnan Hu, Peijun Hu, Yiwei Gao, Yanxia Zhao, Jingsong Li:
A Multi-Resolution Denoising Method for Low-Dose CT Based on the Reconstruction of Wavelet High-Frequency Channel. MedInfo 2023: 750-754 - [c6]Peijun Hu, Qianqian Qi, Yanxia Zhao, Miaomiao Fu, Jingsong Li:
Multimodality Fusion Method Based on Multiview Subspace Clustering for Pulmonary Embolism Diagnosis. MedInfo 2023: 916-920 - [c5]Chao Huang, Peijun Hu, Yu Tian, Yangyang Wang, Yiwei Gao, Qianqian Qi, Qi Zhang, Tingbo Liang, Jingsong Li:
Whole-Liver Based Deep Learning for Preoperatively Predicting Overall Survival in Patients with Hepatocellular Carcinoma. MedInfo 2023: 926-930 - [c4]Yan Zhu, Peijun Hu, Yu Tian, Kaiqi Dong, Jingsong Li:
Dual-Attention Model Fusing CNN and Transformer for Pancreas Segmentation. MedInfo 2023: 931-935 - [c3]Kaiqi Dong, Peijun Hu, Xiang Li, Yu Tian, Yan Zhu, Xueli Bai, Tingbo Liang, Jingsong Li:
Position Prior Attention Network for Pancreas Tumor Segmentation. MedInfo 2023: 951-955 - 2021
- [j5]Jianfu Chen, Menglei Jia, Peijun Hu, Haifeng Wang:
CATKINAS: A large-scale catalytic microkinetic analysis software for mechanism auto-analysis and catalyst screening. J. Comput. Chem. 42(5): 379-391 (2021) - [j4]Peijun Hu, Xiang Li, Yu Tian, Tianyu Tang, Tianshu Zhou, Xueli Bai, Shiqiang Zhu, Tingbo Liang, Jingsong Li:
Automatic Pancreas Segmentation in CT Images With Distance-Based Saliency-Aware DenseASPP Network. IEEE J. Biomed. Health Informatics 25(5): 1601-1611 (2021) - [c2]Tang Bo, Baoguo Yang, Fushun Nian, Peijun Hu:
Review of Near-Field Microwave Microscopy Technology. ICCCS 2021: 263-267
2010 – 2019
- 2017
- [j3]Fang Lu, Fa Wu, Peijun Hu, Zhiyi Peng, Dexing Kong:
Automatic 3D liver location and segmentation via convolutional neural network and graph cut. Int. J. Comput. Assist. Radiol. Surg. 12(2): 171-182 (2017) - [j2]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) - [j1]Donghui Tang, Shuang Tao, Jinlian Ma, Peijun Hu, Dan Long, Jun Wang, Dexing Kong:
The effect of short cardio on inhibitory control ability of obese people. Int. J. Imaging Syst. Technol. 27(4): 345-353 (2017) - [c1]Peijun Hu, Yuankai Huo, Dexing Kong, John Jeffrey Carr, Richard G. Abramson, Katherine G. Hartley, Bennett A. Landman:
Automated Characterization of Body Composition and Frailty with Clinically Acquired CT. MSKI@MICCAI 2017: 25-35 - 2016
- [i2]Fang Lu, Fa Wu, Peijun Hu, Zhiyi Peng, Dexing Kong:
Automatic 3D liver location and segmentation via convolutional neural networks and graph cut. CoRR abs/1605.03012 (2016) - 2015
- [i1]Fa Wu, Peijun Hu, Dexing Kong:
Flip-Rotate-Pooling Convolution and Split Dropout on Convolution Neural Networks for Image Classification. CoRR abs/1507.08754 (2015)
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