Shoujin Huang

Orcid: 0000-0002-2561-9606

According to our database1, Shoujin Huang authored at least 20 papers between 2022 and 2026.

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

2026
Predicting diabetic macular edema treatment responses using OCT: Dataset and methods of APTOS competition.
Medical Image Anal., 2026

Robust simultaneous multislice MRI reconstruction using slice-wise learned generative diffusion priors.
Medical Image Anal., 2026

2025
Virtual Node-Based Risk Assessment for Hidden and Cascading Failures in Production Lines.
IEEE Trans. Reliab., December, 2025

An Unsupervised Learning Approach for Reconstructing 3T-Like Images From 0.3T MRI Without Paired Training Data.
IEEE Trans. Medical Imaging, December, 2025

Self-diffusion for Solving Inverse Problems.
CoRR, October, 2025

Fault Propagation Analysis for Manufacturing Process Monitoring via a Temporal Causal Modeling Algorithm.
IEEE Trans. Instrum. Meas., 2025

Tailored self-supervised pretraining improves brain MRI diagnostic models.
Comput. Medical Imaging Graph., 2025

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.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 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


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