Peixian Liang
Orcid: 0000-0001-8600-3285
According to our database1,
Peixian Liang
authored at least 22 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
CoRR, 2024
Enhancing Whole Slide Image Classification with Discriminative and Contrastive Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Shmc-Net: A Mask-Guided Feature Fusion Network for Sperm Head Morphology Classification.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 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
IEEE Trans. Medical Imaging, 2022
Global Filter of Fusing Near-Infrared and Visible Images in Frequency Domain for Defogging.
IEEE Signal Process. Lett., 2022
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
IEEE Trans. Medical Imaging, 2020
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020
2019
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
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Proc. ACM Meas. Anal. Comput. Syst., 2018
BoxNet: Deep Learning Based Biomedical Image Segmentation Using Boxes Only Annotation.
CoRR, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018