Siyu Liu

According to our database, Siyu Liu authored at least 10 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Cascaded Multi-Modal Mixing Transformers for Alzheimer's Disease Classification with Incomplete Data.

Linfeng Liu, Siyu Liu, Lu Zhang, Xuan Vinh To, Fatima A. Nasrallah, Shekhar S. Chandra

NeuroImage, August, 2023

Explainable Semantic Medical Image Segmentation with Style.

Wei Dai, Siyu Liu, Craig B. Engstrom, Shekhar S. Chandra

CoRR, 2023

Style-Based Manifold for Weakly-Supervised Disease Characteristic Discovery.

Siyu Liu, Linfeng Liu, Craig Engstrom, Xuan Vinh To, Zongyuan Ge, Stuart Crozier, Fatima A. Nasrallah, Shekhar S. Chandra

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

TriFormer: A Multi-modal Transformer Framework For Mild Cognitive Impairment Conversion Prediction.

Linfeng Liu, Junyan Lyu, Siyu Liu, Xiaoying Tang, Shekhar S. Chandra, Fatima A. Nasrallah

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Manipulating Medical Image Translation with Manifold Disentanglement.

Siyu Liu, Jason A. Dowling, Craig Engstrom, Peter B. Greer, Stuart Crozier, Shekhar S. Chandra

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

2022

CAN3D: Fast 3D medical image segmentation via compact context aggregation.

Wei Dai, Boyeong Woo, Siyu Liu, Matthew Marques, Craig Engstrom, Peter B. Greer, Stuart Crozier, Jason A. Dowling, Shekhar S. Chandra

Medical Image Anal., 2022

Structure Guided Manifolds for Discovery of Disease Characteristics.

Siyu Liu, Linfeng Liu, Xuan Vinh, Stuart Crozier, Craig Engstrom, Fatima A. Nasrallah, Shekhar Chandra

CoRR, 2022

2021

Can3d: Fast 3d Knee Mri Segmentation Via Compact Context Aggregation.

Wei Dai, Boyeong Woo, Siyu Liu, Matthew Marques, Fangfang Tang, Stuart Crozier, Craig Engstrom, Shekhar Chandra

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

Fabric Image Representation Encoding Networks for Large-scale 3D Medical Image Analysis.

Siyu Liu, Wei Dai, Craig Engstrom, Jurgen Fripp, Peter B. Greer, Stuart Crozier, Jason A. Dowling, Shekhar S. Chandra

CoRR, 2020

Fully Automatic Computer-aided Mass Detection and Segmentation via Pseudo-color Mammograms and Mask R-CNN.

Hang Min, Devin Wilson, Yinhuang Huang, Siyu Liu, Stuart Crozier, Andrew P. Bradley, Shekhar S. Chandra

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020