Research Publications, non-peer reviewed

Yuemeng Li, Hongming Li, and Yong Fan: ACEnet: Anatomical Context-Encoding Network for Neuroanatomy Segmentation, arXiv:2002.05773, Page: 1-8, Feb 2020
Tianming Du, H Zhang, HK Song, Yong Fan: Adaptive convolutional neural networks for k-space data interpolation in fast magnetic resonance imaging, arXiv:2006.01385, page: 1-13, June 2020
Yuemeng Li, Hangfan Liu, and Yong Fan: DeepSEED: 3D Squeeze-and-Excitation Encoder-Decoder ConvNets for Pulmonary Nodule Detection. arXiv:1904.03501 Page: 1-9, Apr 2019.
Yuemeng Li, Hangfan Liu, Hongming Li, Yong Fan: Feature-Fused Context-Encoding Network for Neuroanatomy Segmentation. arXiv:1905.02686 Page: 1-10, May 2019.
Hongming Li, Yong Fan: Non-rigid image registration using fully convolutional networks with deep self-supervision. arXiv:1709.00799 Sep 2017.
X Zhao, Y Wu, G Song, Z Li, Y Zhang, Yong Fan: A deep learning model integrating FCNNs and CRFs for brain tumor segmentation. arXiv:1702.04528 Feb 2017.
Qiang Zheng, Steven Warner, Gregory Tasian, Yong Fan: A dynamic graph-cuts method with integrated multiple feature maps for segmenting kidneys in ultrasound images. arXiv:1706.03372 Jun 2017.
Hongming Li, Mohamad Habes, Yong Fan: Deep Ordinal Ranking for Multi-Category Diagnosis of Alzheimer's Disease using Hippocampal MRI data. arXiv:1709.01599 Sep 2017.