Fengze Liu

According to our database1, Fengze Liu authored at least 11 papers between 2018 and 2020.

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Bibliography

2020
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation.
Medical Image Anal., 2020

JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-Modal Image Alignment of Large-scale Pathological CT Scans.
CoRR, 2020

Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation.
CoRR, 2020

3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Deep Distance Transform for Tubular Structure Segmentation in CT Scans.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Deep Distance Transform for Tubular Structure Segmentation in CT Scans.
CoRR, 2019

FusionNet: Incorporating Shape and Texture for Abnormality Detection in 3D Abdominal CT Scans.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Joint Shape Representation and Classification for Detecting PDAC.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

An Alarm System for Segmentation Algorithm Based on Shape Model.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Bridging the Gap Between 2D and 3D Organ Segmentation.
CoRR, 2018

Bridging the Gap Between 2D and 3D Organ Segmentation with Volumetric Fusion Net.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018


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