Mai Bui

Orcid: 0000-0002-4509-8473

Affiliations:
  • AstraZeneca Computational Pathology GmbH, Munich, Germany
  • Technical University of Munich, Germany (PhD 2021)


According to our database1, Mai Bui authored at least 13 papers between 2017 and 2026.

Collaborative distances:

Timeline

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Book  In proceedings  Article  PhD thesis  Dataset  Other 

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Bibliography

2026
MSDM: Generating Task-Specific Pathology Images with a Multimodal Conditioned Diffusion Model for Cell and Nuclei Segmentation.
Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2022
A survey of catheter tracking concepts and methodologies.
Medical Image Anal., 2022

Deep Bingham Networks: Dealing with Uncertainty and Ambiguity in Pose Estimation.
Int. J. Comput. Vis., 2022

Real-time guidewire tracking and segmentation in intraoperative x-ray.
Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022

2021
Regression Optimization for Camera Localization.
PhD thesis, 2021

DistillPose: Lightweight Camera Localization Using Auxiliary Learning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020
6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Adversarial Joint Image and Pose Distribution Learning for Camera Pose Regression and Refinement.
CoRR, 2019

Robust navigation support in lowest dose image setting.
Int. J. Comput. Assist. Radiol. Surg., 2019

Adversarial Networks for Camera Pose Regression and Refinement.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018
When Regression Meets Manifold Learning for Object Recognition and Pose Estimation.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Scene Coordinate and Correspondence Learning for Image-Based Localization.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
X-Ray PoseNet: 6 DoF Pose Estimation for Mobile X-Ray Devices.
Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017


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