Shishuai Hu

Orcid: 0000-0002-7314-6647

According to our database1, Shishuai Hu authored at least 17 papers between 2020 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Modeling annotator preference and stochastic annotation error for medical image segmentation.
Medical Image Anal., February, 2024

Unleashing the Potential of Open-set Noisy Samples Against Label Noise for Medical Image Classification.
CoRR, 2024

Towards Clinician-Preferred Segmentation: Leveraging Human-in-the-Loop for Test Time Adaptation in Medical Image Segmentation.
CoRR, 2024

2023
Domain and Content Adaptive Convolution Based Multi-Source Domain Generalization for Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2023

Transformer-Based Annotation Bias-Aware Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Devil is in Channels: Contrastive Single Domain Generalization for Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
Learning From Ambiguous Labels for Lung Nodule Malignancy Prediction.
IEEE Trans. Medical Imaging, 2022

Rapid artificial intelligence solutions in a pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge.
Medical Image Anal., 2022

Instance-specific Label Distribution Regularization for Learning with Label Noise.
CoRR, 2022

ProSFDA: Prompt Learning based Source-free Domain Adaptation for Medical Image Segmentation.
CoRR, 2022

Boundary-Aware Network for Abdominal Multi-Organ Segmentation.
CoRR, 2022

Label Propagation for 3D Carotid Vessel Wall Segmentation and Atherosclerosis Diagnosis.
CoRR, 2022

Boundary-Aware Network for Kidney Parsing.
Proceedings of the Lesion Segmentation in Surgical and Diagnostic Applications, 2022

Domain Specific Convolution and High Frequency Reconstruction Based Unsupervised Domain Adaptation for Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Modeling Human Preference and Stochastic Error for Medical Image Segmentation with Multiple Annotators.
CoRR, 2021

Domain and Content Adaptive Convolution for Domain Generalization in Medical Image Segmentation.
CoRR, 2021

2020
Boundary-Aware Network for Kidney Tumor Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020


  Loading...