Peixian Liang

Orcid: 0000-0001-8600-3285

According to our database1, Peixian Liang authored at least 21 papers between 2018 and 2024.

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Bibliography

2024
SHMC-Net: A Mask-guided Feature Fusion Network for Sperm Head Morphology Classification.
CoRR, 2024

Efficient approximation of Earth Mover's Distance Based on Nearest Neighbor Search.
CoRR, 2024

2023
A two-stage enhancement network with optimized effective receptive field for speckle image reconstruction.
Multim. Tools Appl., May, 2023

Input Augmentation with SAM: Boosting Medical Image Segmentation with Segmentation Foundation Model.
CoRR, 2023

Input Augmentation with SAM: Boosting Medical Image Segmentation with Segmentation Foundation Model.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

A Point in the Right Direction: Vector Prediction for Spatially-Aware Self-Supervised Volumetric Representation Learning.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
H-EMD: A Hierarchical Earth Mover's Distance Method for Instance Segmentation.
IEEE Trans. Medical Imaging, 2022

Global Filter of Fusing Near-Infrared and Visible Images in Frequency Domain for Defogging.
IEEE Signal Process. Lett., 2022

KCB-Net: A 3D knee cartilage and bone segmentation network via sparse annotation.
Medical Image Anal., 2022

Usable Region Estimate for Assessing Practical Usability of Medical Image Segmentation Models.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2020
A Cross-Domain Metal Trace Restoring Network for Reducing X-Ray CT Metal Artifacts.
IEEE Trans. Medical Imaging, 2020

InTracker: An Integrated Detector-Tracker Framework for Cell Detection and Tracking.
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

2019
SPDA: Superpixel-based Data Augmentation for Biomedical Image Segmentation.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

HFA-Net: 3D Cardiovascular Image Segmentation with Asymmetrical Pooling and Content-Aware Fusion.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

CC-NET: Image Complexity Guided Network Compression for Biomedical Image Segmentation.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Cascade Decoder: A Universal Decoding Method For Biomedical Image Segmentation.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

A New Ensemble Learning Framework for 3D Biomedical Image Segmentation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Biomedical Image Segmentation via Representative Annotation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
PreFix: Switch Failure Prediction in Datacenter Networks.
Proc. ACM Meas. Anal. Comput. Syst., 2018

BoxNet: Deep Learning Based Biomedical Image Segmentation Using Boxes Only Annotation.
CoRR, 2018

A new registration approach for dynamic analysis of calcium signals in organs.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018


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