Shoujin Huang

Orcid: 0000-0001-6094-129X

According to our database1, Shoujin Huang authored at least 13 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Dynamic weight-based accelerated test modeling for fault degradation and lifetime analysis.
Reliab. Eng. Syst. Saf., 2024

Robust Simultaneous Multislice MRI Reconstruction Using Deep Generative Priors.
CoRR, 2024

Autoregressive Image Diffusion: Generation of Image Sequence and Application in MRI.
CoRR, 2024

Noise Level Adaptive Diffusion Model for Robust Reconstruction of Accelerated MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023
Probabilistic stability of power control systems with Nakagami-m fading channels.
Int. J. Syst. Sci., June, 2023

Interval state estimation for positive linear systems under DoS attacks.
J. Frankl. Inst., 2023

Unleashing the Strengths of Unlabeled Data in Pan-cancer Abdominal Organ Quantification: the FLARE22 Challenge.
CoRR, 2023

Space-Time Deformable Attention Parallel Imaging Reconstruction for Highly Accelerated Cardiac MRI.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 2023

From Whole-Body to Abdomen: Streamlined Segmentation of Organs and Tumors via Semi-Supervised Learning and Efficient Coarse-to-Fine Inference.
Proceedings of the Fast, Low-resource, and Accurate Organ and Pan-cancer Segmentation in Abdomen CT, 2023

Accurate Multi-contrast MRI Super-Resolution via a Dual Cross-Attention Transformer Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Predicting Microsatellite Instability from Pathological Images Using Self-Supervised Learning Methods.
Proceedings of the 2023 International Conference on Advances in Artificial Intelligence and Applications, 2023

2022
Review and classification of AI-enabled COVID-19 CT imaging models based on computer vision tasks.
Comput. Biol. Medicine, 2022

Abdominal CT Organ Segmentation by Accelerated nnUNet with a Coarse to Fine Strategy.
Proceedings of the Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation, 2022


  Loading...