Fakai Wang

Orcid: 0000-0002-3750-2819

According to our database1, Fakai Wang authored at least 10 papers between 2021 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

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

Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network.
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

Semi-supervised Learning for Bone Mineral Density Estimation in Hip X-Ray Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Opportunistic Screening of Osteoporosis Using Plain Film Chest X-Ray.
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


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