Research
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My research interests are in machine learning, computer vision, and their applications to medical image reconstruction and processing.
My primary interests are deep learning, medical image analysis, and neurodegenerative disorders. Recently, I have been working on low-dose CT denoising, reconstruction, and diagnosis, super-resolution, radiomics, metal artifacts reduction, motion artifact reduction, medical image segmentation, radiotherapy, face aging, age estimation, and ordinal regression.
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Selected Publications
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See Publications or Google Scholar for a full list of publications.
- Z. Huang, S. Chen, J. Zhang and H. Shan.
PFA-GAN: Progressive Face Aging with Generative Adversarial Network.
IEEE Transactions on Information Forensics and Security, 2021
- H. Shan, X. Jia, P. Yan, Y. Li, H. Paganetti and G. Wang.
Synergizing Medical Imaging and Radiotherapy with Deep Learning.
Machine Learning: Science and Technology, 1(2), 021001, 2020
- H. Shan, A. Padole, F. Homayounieh, U. Kruger, R. D. Khera, C. Nitiwarangkul, M. K. Kalra and G. Wang.
Competitive Performance of a Modularized Deep Neural Network Compared to Commercial Algorithms for Low-Dose CT Image Reconstruction.
Nature Machine Intelligence, 1, 269–276, 2019
- H. Shan, J. Zhang and U. Kruger.
Framework of Randomized Distribution Features for Visual Representation and Categorization.
IEEE Transactions on Cybernetics, 49(9), 3599-3606, 2019
- H. Shan, Y. Zhang, Q. Yang, U. Kruger, M. K. Kalra, L. Sun, W. Cong and G. Wang.
3-D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2-D Trained Network.
IEEE Transactions on Medical Imaging, 37(6), 1522-1534, 2018
- H. Shan, J. Zhang and U. Kruger.
Learning Linear Representation of Space Partitioning Trees based on Unsupervised Kernel Dimension Reduction.
IEEE Transactions on Cybernetics, 46(12), 3427-3438, 2016
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Professional Service
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Associate Editor: |
The 21st IEEE International Conference on Intelligent Transportation Systems (IEEE-ITSC 2018) |
Program Committee: |
The 10th International Workshop on Machine Learning in Medical Imaging (MLMI 2019), The 11th International Workshop on Machine Learning in Medical Imaging (MLMI 2020), IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2020) |
Coordinator: |
Deep Reconstruction Workshop, Deep Learning Journal Club |
Reviewer: |
ECML 2014, ACML 2015, ACML 2016, ICASSP 2018, MICCAI 2019, MICCAI 2020
IEEE Transactions on Medical Imaging, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Intelligent Transportation Systems, IEEE Intelligent Systems, Machine Learning, IEEE Access, Pattern Recognition, Medical Physics, Physics in Medicine and Biology, Machine Vision and Applications, IEEE Journal of Selected Topics in Signal Processing, Scientific Reports, Photoacoustics, etc. |
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Contact
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Email:
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"{}@{}".format("hmshan", "fudan.edu.cn")
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Office:
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Room 2406, East Main Building of Guanghua Tower
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Address:
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Institute of Science and Technology for Brain-inspired Intelligence
Fudan University
220 Handan Rd., Yangpu District, Shanghai 200433, China
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