Fakai Wang

According to our database, Fakai Wang authored at least 11 papers between 2021 and 2026.

Collaborative distances:

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

2026

Correlation Routing Network for Explainable Lesion Classification in Multi-Parametric Liver MRI.

Fakai Wang, Zhehan Shen, Huimin Lin, Fuhua Yan

Medical Image Anal., 2026

2023

Deep Learning Applications in bone mineral density estimation, spine vertebra Detection, and Liver tumor Segmentation.

Fakai Wang

PhD thesis, 2023

Lumbar Bone Mineral Density Estimation From Chest X-Ray Images: Anatomy-Aware Attentive Multi-ROI Modeling.

Fakai Wang, Kang Zheng, Le Lu, Jing Xiao, Min Wu, Chang-Fu Kuo, Shun Miao

IEEE Trans. Medical Imaging, 2023

A Cascaded Approach for ultraly High Performance Lesion Detection and False Positive Removal in Liver CT Scans.

Fakai Wang, Chi-Tung Cheng, Chien-Wei Peng, Ke Yan, Min Wu, Le Lu, Chien-Hung Liao, Ling Zhang

CoRR, 2023

Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans.

Jieneng Chen, Yingda Xia, Jiawen Yao, Ke Yan, Jianpeng Zhang, Le Lu, Fakai Wang, Bo Zhou, Mingyan Qiu, Qihang Yu, Mingze Yuan, Wei Fang, Yuxing Tang, Minfeng Xu, Jian Zhou, Yuqian Zhao, Qifeng Wang, Xianghua Ye, Xiaoli Yin, Yu Shi, Xin Chen, Jingren Zhou, Alan L. Yuille, Zaiyi Liu, Ling Zhang

CoRR, 2023

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

Ke Yan, Xiaoli Yin, Yingda Xia, Fakai Wang, Shu Wang, Yuan Gao, Jiawen Yao, Chunli Li, Xiaoyu Bai, Jingren Zhou, Ling Zhang, Le Lu, Yu Shi

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.

Jieneng Chen, Yingda Xia, Jiawen Yao, Ke Yan, Jianpeng Zhang, Le Lu, Fakai Wang, Bo Zhou, Mingyan Qiu, Qihang Yu, Mingze Yuan, Wei Fang, Yuxing Tang, Minfeng Xu, Jian Zhou, Yuqian Zhao, Qifeng Wang, Xianghua Ye, Xiaoli Yin, Yu Shi, Xin Chen, Jingren Zhou, Alan L. Yuille, Zaiyi Liu, Ling Zhang

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.

Xiao-Yun Zhou, Bolin Lai, Weijian Li, Yirui Wang, Kang Zheng, Fakai Wang, Chihung Lin, Le Lu, Lingyun Huang, Mei Han, Guotong Xie, Jing Xiao, Chang-Fu Kuo, Adam P. Harrison, Shun Miao

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.

Kang Zheng, Yirui Wang, Xiao-Yun Zhou, Fakai Wang, Le Lu, Chihung Lin, Lingyun Huang, Guotong Xie, Jing Xiao, Chang-Fu Kuo, Shun Miao

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.

Fakai Wang, Kang Zheng, Yirui Wang, Xiaoyun Zhou, Le Lu, Jing Xiao, Min Wu, Chang-Fu Kuo, Shun Miao

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.

Fakai Wang, Kang Zheng, Le Lu, Jing Xiao, Min Wu, Shun Miao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021