Ange Lou

According to our database, Ange Lou authored at least 23 papers between 2019 and 2024.

Collaborative distances:

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

2024

Surgical Depth Anything: Depth Estimation for Surgical Scenes using Foundation Models.

Ange Lou, Yamin Li, Yike Zhang, Jack H. Noble

CoRR, 2024

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

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

CoRR, 2024

Monocular Microscope to CT Registration using Pose Estimation of the Incus for Augmented Reality Cochlear Implant Surgery.

Yike Zhang, Eduardo Davalos, Dingjie Su, Ange Lou, Jack H. Noble

CoRR, 2024

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, Ziyan Wu

Proceedings of the Computer Vision - ECCV 2024, 2024

DaReNeRF: Direction-aware Representation for Dynamic Scenes.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

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

Ange Lou, Kareem O. Tawfik, Xing Yao, Ziteng Liu, Jack H. Noble

IEEE Trans. Medical Imaging, October, 2023

CFPNet-M: A light-weight encoder-decoder based network for multimodal biomedical image real-time segmentation.

Ange Lou, Shuyue Guan, Murray H. Loew

Comput. Biol. Medicine, March, 2023

Leveraging sinusoidal representation networks to predict fMRI signals from EEG.

Yamin Li, Ange Lou, Catie Chang

CoRR, 2023

WS-SfMLearner: Self-supervised Monocular Depth and Ego-motion Estimation on Surgical Videos with Unknown Camera Parameters.

Ange Lou, Jack H. Noble

CoRR, 2023

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

Ange Lou, Yamin Li, Xing Yao, Yike Zhang, Jack H. Noble

CoRR, 2023

False Negative/Positive Control for SAM on Noisy Medical Images.

Xing Yao, Han Liu, Dewei Hu, Daiwei Lu, Ange Lou, Hao Li, Ruining Deng, Gabriel Arenas, Baris U. Oguz, Nadav Schwartz, Brett C. Byram, Ipek Oguz

CoRR, 2023

Surgical tool classification and localization: results and methods from the MICCAI 2022 SurgToolLoc challenge.

Aneeq Zia, Kiran Bhattacharyya, Xi Liu, Max Berniker, Ziheng Wang, Rogerio Nespolo, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Bo Liu, David Austin, Yiheng Wang, Michal Futrega, Jean-Francois Puget, Zhenqiang Li, Yoichi Sato, Ryo Fujii, Ryo Hachiuma, Mana Masuda, Hideo Saito, An Wang, Mengya Xu, Mobarakol Islam, Long Bai, Winnie Pang, Hongliang Ren, Chinedu Innocent Nwoye, Luca Sestini, Nicolas Padoy, Maximilian Nielsen, Samuel Schüttler, Thilo Sentker, Hümeyra Husseini, Ivo M. Baltruschat, Rüdiger Schmitz, René Werner, Aleksandr Matsun, Mugariya Farooq, Numan Saeed, Jose Renato Restom Viera, Mohammad Yaqub, Neil Getty, Fangfang Xia, Zixuan Zhao, Xiaotian Duan, Xing Yao, Ange Lou, Hao Yang, Jintong Han, Jack H. Noble, Jie Ying Wu, Tamer Abdulbaki Alshirbaji, Nour Aldeen Jalal, Herag Arabian, Ning Ding, Knut Moeller, Weiliang Chen, Quan He, Lena Maier-Hein, Danail Stoyanov, Stefanie Speidel, Anthony M. Jarc

CoRR, 2023

Novel application of the attention mechanism on medical image harmonization.

Xing Yao, Ange Lou, Hao Li, Dewei Hu, Daiwei Lu, Han Liu, Jiacheng Wang, Zachary A. Stoebner, Hans J. Johnson, Jeffrey D. Long, Jane S. Paulsen, Ipek Oguz

Proceedings of the Medical Imaging 2023: Image Processing, 2023

Self-supervised surgical instrument 3D reconstruction from a single camera image.

Ange Lou, Xing Yao, Ziteng Liu, Jintong Han, Jack H. Noble

Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 2023

Super-Resolution Segmentation Network for Inner-Ear Tissue Segmentation.

Ziteng Liu, Yubo Fan, Ange Lou, Jack H. Noble

Proceedings of the Simulation and Synthesis in Medical Imaging, 2023

2022

Min-Max Similarity: A Contrastive Learning Based Semi-Supervised Learning Network for Surgical Tools Segmentation.

Ange Lou, Xing Yao, Ziteng Liu, Jack H. Noble

CoRR, 2022

CaraNet: context axial reverse attention network for segmentation of small medical objects.

Ange Lou, Shuyue Guan, Hanseok Ko, Murray H. Loew

Proceedings of the Medical Imaging 2022: Image Processing, 2022

2021

CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical Objects.

Ange Lou, Shuyue Guan, Murray H. Loew

CoRR, 2021

DC-UNet: rethinking the U-Net architecture with dual channel efficient CNN for medical image segmentation.

Ange Lou, Shuyue Guan, Murray H. Loew

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

CFPNET: Channel-Wise Feature Pyramid For Real-Time Semantic Segmentation.

Ange Lou, Murray H. Loew

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020

Segmentation of Infrared Breast Images Using MultiResUnet Neural Network.

Ange Lou, Shuyue Guan, Nada Kamona, Murray H. Loew

CoRR, 2020

DC-UNet: Rethinking the U-Net Architecture with Dual Channel Efficient CNN for Medical Images Segmentation.

Ange Lou, Shuyue Guan, Murray H. Loew

CoRR, 2020

2019

Segmentation of Infrared Breast Images Using MultiResUnet Neural Networks.

Ange Lou, Shuyue Guan, Nada Kamona, Murray H. Loew

Proceedings of the 48th IEEE Applied Imagery Pattern Recognition Workshop, 2019