Ange Lou
Orcid: 0000-0002-3983-8877
According to our database1,
Ange Lou
authored at least 20 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Monocular Microscope to CT Registration using Pose Estimation of the Incus for Augmented Reality Cochlear Implant Surgery.
CoRR, 2024
2023
Min-Max Similarity: A Contrastive Semi-Supervised Deep Learning Network for Surgical Tools Segmentation.
IEEE Trans. Medical Imaging, October, 2023
CFPNet-M: A light-weight encoder-decoder based network for multimodal biomedical image real-time segmentation.
Comput. Biol. Medicine, March, 2023
CoRR, 2023
WS-SfMLearner: Self-supervised Monocular Depth and Ego-motion Estimation on Surgical Videos with Unknown Camera Parameters.
CoRR, 2023
SAMSNeRF: Segment Anything Model (SAM) Guides Dynamic Surgical Scene Reconstruction by Neural Radiance Field (NeRF).
CoRR, 2023
Surgical tool classification and localization: results and methods from the MICCAI 2022 SurgToolLoc challenge.
CoRR, 2023
CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical Objects.
CoRR, 2023
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 2023
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.
CoRR, 2022
CaraNet: context axial reverse attention network for segmentation of small medical objects.
Proceedings of the Medical Imaging 2022: Image Processing, 2022
2021
DC-UNet: rethinking the U-Net architecture with dual channel efficient CNN for medical image segmentation.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
2020
DC-UNet: Rethinking the U-Net Architecture with Dual Channel Efficient CNN for Medical Images Segmentation.
CoRR, 2020
2019
Proceedings of the 48th IEEE Applied Imagery Pattern Recognition Workshop, 2019