Ange Lou (楼安格)

Ange Lou (楼安格)

I am a final-year Ph.D. candidate of Electrical and Computer Engineering, Vanderbilt University, advised by Prof. Jack Noble. My research interest focuses on 2D/3D Computer Vision, Deep Learning and Medical Image Analysis.

🔥 News

  • 2024.09:  🎉🎉 One paper “NeuroBOLT: Resting-state EEG-to-fMRI Synthesis with Multi-dimensional Feature Mapping” was accepted by NeurIPS 2024!
  • 2024.07:  🎉🎉 One paper “Divide and Fuse: Body Part Mesh Recovery from Partially Visible Human Images” was accepted by ECCV 2024!
  • 2024.02:  🎉🎉 One paper “DaReNeRF: Direction-aware Representation for Dynamic Scenes” was accepted by CVPR 2024!
  • 2023.10:  🎉🎉 Five paper accepted by SPIE Medical Imaging 2024!
  • 2023.05:  🎉🎉 I will join UII America as research intern this summer!
  • 2023.04:  🎉🎉 Our paper “Min-Max Similarity: A Contrastive Semi-Supervised Deep Learning Network for Surgical Tools Segmentation” was accepted by IEEE Transactions on Medical Imaging (IF = 11.037)!
  • 2023.01:  🎉🎉 Our paper “CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical Objects” was accepted by Journal of Medical Imaging (IF = 2.4)!
  • 2023.01:  🎉🎉 Our paper “CFPNet-M: A Light-Weight Encoder-Decoder Based Network for Multimodal Biomedical Image Real-Time Segmentation” was accepted by Computers in Biology and Medicine (IF = 7.7)!
  • 2022.10:  🎉🎉 Two paper was accepted by SPIE Medical Imaging 2023!

📝 Selected Publications

NeurIPS 2024
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NeuroBOLT: Resting-state EEG-to-fMRI Synthesis with Multi-dimensional Feature Mapping

Yamin Li, Ange Lou, Ziyuan Xu, Roza G Bayrak, SHENGCHAO ZHANG, Shiyu Wang, Dario J. Englot, Soheil Kolouri, Daniel Moyer, Catie Chang. NeurIPS 2024.

[PDF] [Project Page]

arXiv
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Zero-Shot Surgical Tool Segmentation in Monocular Video Using Segment Anything Model 2

Ange Lou, Yamin Li, Yike Zhang, Robert F. Labadie, and Jack Noble arXiv.

[PDF]

ECCV 2024
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Divide and Fuse: Body Part Mesh Recovery from Partially Visible Human Images

Tianyu Luan, Zhongpai Gao, Luyuan Xie, Abhishek Sharma, Hao Ding, Benjamin Planche, Meng Zheng, Ange Lou, Terrence Chen, Junsong Yuan, and Ziyan Wu. ECCV 2024.

[PDF]

CVPR 2024
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DaReNeRF: Direction-aware Representation for Dynamic Scenes

Ange Lou, Benjamin Planche, Zhongpai Gao, Yamin Li, Tianyu Luan, Hao Ding, Terrence Chen, Jack Noble, and Ziyan Wu. CVPR 2024.

[PDF] [Video]

SPIE 2024
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SAMSNeRF: Segment Anything Model (SAM) Guides Dynamic Surgical Scene Reconstruction by Neural Radiance Field (NeRF)

Ange Lou, Yamin Li, Xing Yao, Yike Zhang and Jack Noble. SPIE Medical Imaging 2024.

[PDF]

IEEE-TMI
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Min-Max Similarity: A Contrastive Semi-Supervised Deep Learning Network for Surgical Tools Segmentation

Ange Lou, Kareem Tawfik, Xing Yao, Ziteng Liu, and Jack Noble. IEEE Transactions on Medical Imaging.

[PDF] [Code]

CIBM
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CFPNet-M: A Light-Weight Encoder-Decoder Based Network for Multimodal Biomedical Image Real-Time Segmentation

Ange Lou, Shuyue Guan, and Murray Loew. Computers in Biology and Medicine.

[PDF][Code]

JMI & SPIE 2022
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CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical Objects

Ange Lou, Shuyue Guan, Hanseok Ko, and Murray Loew. Journal of Medical Imaging & SPIE Medical Imaging 2022.

[Journal][Conference][Code]

Teaching

  • 22 Spring, Teaching Assistant, Circuits (ECE 2112), Vanderbilt University.
  • 21 Fall, Teaching Assistant, Circuits (ECE 2112), Vanderbilt University.

Service

  • Conference Reviews: MICCAI 2023.
  • Journal Reviews: iScience, Journal of Medical Imaging (JMI), Imaging Science Journal, Neural Regeneration Research (NRR), IEEE Journal of Biomedical and Health Informatics (JBHI), Image and Vision Computing.

💻 Experiences

📖 Educations