Zhuonan Liang

Orcid: 0000-0002-4459-0861

According to our database1, Zhuonan Liang authored at least 14 papers between 2020 and 2026.

Collaborative distances:

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
FUGC: Benchmarking Semi-Supervised Learning Methods for Cervical Segmentation.
IEEE Trans. Medical Imaging, June, 2026

GuiDINO: Rethinking Vision Foundation Model in Medical Image Segmentation.
CoRR, March, 2026

Beyond Benchmarks of IUGC: Rethinking Requirements of Deep Learning Methods for Intrapartum Ultrasound Biometry from Fetal Ultrasound Videos.
CoRR, February, 2026

FUGC: Benchmarking Semi-Supervised Learning Methods for Cervical Segmentation.
CoRR, January, 2026

Beyond benchmarks of IUGC: Rethinking requirements of deep learning method for intrapartum ultrasound biometry from fetal ultrasound videos.
Medical Image Anal., 2026

2025
The Collapse of Patches.
CoRR, November, 2025

On the Theory of Conditional Feature Alignment for Unsupervised Domain-Adaptive Counting.
CoRR, June, 2025

Seek Inner: LLM-Enhanced Information Mining for Medical Visual Question Answering.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Diversity-Augmented Diffusion Network With LLM Assistance For Radiology Report Generation.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Sequential Spatial-Temporal Network for Interpretable Automatic Ultrasonic Assessment of Fetal Head During Labor.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2024
Accurate Fetal Head Descent Assessment During Labor Using Video Swin Transformer and Wavelet-Based Multitask Learning for 2024 MICCAI Challenge IUGC.
Proceedings of the Intrapartum Ultrasound - MICCAI 2024 Grand Challenge, 2024

2023
SPOC learner's final grade prediction based on a novel sampling batch normalization embedded deep neural network method.
Multim. Tools Appl., March, 2023

ASRCD: Adaptive Serial Relation-Based Model for Cognitive Diagnosis.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

2020
SPOC learner's final grade prediction based on a novel sampling batch normalization embedded neural network method.
CoRR, 2020


  Loading...