Fakai Wang
Orcid: 0000-0002-3750-2819
According to our database1,
Fakai Wang
authored at least 10 papers
between 2021 and 2023.
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Bibliography
2023
Deep Learning Applications in bone mineral density estimation, spine vertebra Detection, and Liver tumor Segmentation.
PhD thesis, 2023
Lumbar Bone Mineral Density Estimation From Chest X-Ray Images: Anatomy-Aware Attentive Multi-ROI Modeling.
IEEE Trans. Medical Imaging, 2023
A Cascaded Approach for ultraly High Performance Lesion Detection and False Positive Removal in Liver CT Scans.
CoRR, 2023
Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans.
CoRR, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2021
Scalable Semi-supervised Landmark Localization for X-ray Images Using Few-Shot Deep Adaptive Graph.
Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021
Automatic Vertebra Localization and Identification in CT by Spine Rectification and Anatomically-Constrained Optimization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021