Shishuai Hu

Ph.D. Candidate

Affiliation: School of Computer Science and Engineering, Northwestern Polytechnical University
Current Address: No.1, Dongxiang Road, Chang’an District, Xi’an, Shaanxi, China
Email: sshu@mail.nwpu.edu.cn
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Biography

Introduction

I am a Ph.D. student at School of Computer Science and Engineering, Northwestern Polytechnical University (NPU), China. My research focuses on deep learning techniques for medical image segmentation, with particular interests in domain adaptation, in-context learning, and noisy label learning.

Education Background

2020.09-Present • Ph.D. Candidate • Supervisor: Prof. Yong Xia.

Northwestern Polytechnical University (NPU), China

2024.09-2025.09 • Research Intern • Supervisor: Dr. Huazhu Fu and Dr. Liangli Zhen.

Agency for Science, Technology and Research (A*STAR), Singapore

2016.09-2020.06 • B.E. Degree • Supervisor: Prof. Yong Xia.

Northwestern Polytechnical University (NPU), China

News

[2025.08.10] One paper was accepted by PR, about Source-free Domain Adaptation.
[2025.06.18] Two papers were accepted by MICCAI 2025, about In-Context Medical Image Segmentation and Hallucination Detection in Medical MLLMs.
[2025.06.15] One paper was accepted by MedIA, about Learning with Label Noise.
[2024.11.04] One paper was accepted by IJCV, about Learning with Label Noise.
[2023.11.13] One journal paper was accepted by Medical Image Analysis, about Learning with Multi-Annotators.
[2023.06.24] Code for CCSDG is public available now.
[2023.05.25] Two papers were provisional accepted (Top 14%) by MICCAI 2023, about Single Domain Generalization and Learning with Multiple Annotators.
[2022.09.22] One journal paper was accepted by IEEE TMI, about Domain Generalization.
[2022.09.18] Our Boundary-Aware Network got the Innovation Award of Kidney PArsing Challenge 2022.[Code, Pretrained Model]
[2022.08.29] Our Label Propagation Framework got the 2-nd place of CarOtid vessel wall SegMentation and atherosclerOsis diagnosiS challenge.[Code, Pretrained Model]
[2022.08.21] Our Boundary-Aware Network got the Top-5 of Multi-Modality Abdominal Multi-Organ Segmentation Challenge 2022.[Code, Pretrained Model]
[2022.08.17] Our Boundary-Aware Network won the 2-nd place of Kidney PArsing Challenge 2022.[Code, Pretrained Model]
[2022.06.03] One paper was accepted by MICCAI 2022, about Unsupervised Domain Adaptation.
[2022.02.02] One journal paper was accepted by IEEE TMI, about Noisy Label Learning.
[2021.01.10] Our Semi-supervised solution won the 1-st place of COVID-19 Lung CT Lesion Segmentation Challenge.[Mini-symposium, Slide]
[2020.07.31] One paper was accepted by MICCAI-MLMI 2020.
[2020.07.10] I received the B.E. degree from Northwestern Polytechnical University, supervised by Prof. Yong Xia.

Selected Publications

^†

Domain Adaptive Medical Image Segmentation

	Shishuai Hu^†, Zehui Liao^†, Jianpeng Zhang, and Yong Xia* Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image Segmentation IEEE Transactions on Medical Imaging, vol. 42, pp. 233-244, 2023. [Paper, Code, Project]
	Shishuai Hu^†, Zehui Liao^†, and Yong Xia* Domain Specific Convolution and High Frequency Reconstruction based Unsupervised Domain Adaptation for Medical Image Segmentation MICCAI 2022, 2022. [Paper, Code]
	Shishuai Hu, Zehui Liao, and Yong Xia* Devil is in Channels: Contrastive Single Domain Generalization for Medical Image Segmentation MICCAI 2023, 2023. [Early Accept (Top 14%)] [Paper, Code]
	Shishuai Hu, Zehui Liao, and Yong Xia* Prompt Learning based Source-free Domain Adaptation for Medical Image Segmentation Pattern Recognition, 2025. [Paper, Code]
	Shishuai Hu, Zehui Liao, Zeyou Liu, and Yong Xia* Towards Clinician-Preferred Segmentation: Leveraging Human-in-the-Loop for Test Time Adaptation in Medical Image Segmentation Preprint, 2024. [Paper]
	Shishuai Hu^†, Zehui Liao^†, Liangli Zhen, Huazhu Fu, and Yong Xia Cycle Context Verification for In-Context Medical Image Segmentation MICCAI 2025, 2025. [Paper]

Noisy Label Learning

	Zehui Liao, Yutong Xie, Shishuai Hu, and Yong Xia* Learning from Ambiguous Labels for Lung Nodule Malignancy Prediction IEEE Transactions on Medical Imaging, vol. 41, pp. 1874-1884, 2022. [Paper, Code]
	Zehui Liao^†, Shishuai Hu^†, Yutong Xie, and Yong Xia* Modeling Annotator Preference and Stochastic Annotation Error for Medical Image Segmentation Medical Image Analysis, In press. [Paper, Code]
	Zehui Liao, Shishuai Hu, Yutong Xie, and Yong Xia Transformer-based Annotation Bias-aware Medical Image Segmentation MICCAI 2023, 2023. [Early Accept (Top 14%)] [Paper]
	Zehui Liao, Shishuai Hu, Yutong Xie, and Yong Xia* Instance-dependent Label Distribution Estimation for Learning with Label Noise International Journal of Computer Vision, 2024. [Paper, Code]
	Zehui Liao, Shishuai Hu, and Yong Xia* Unleashing the Potential of Open-set Noisy Samples Against Label Noise for Medical Image Classification Medical Image Analysis, 2025. [Paper, Code]

Hallucination Detection in Medical MLLMs

Zehui Liao^†, Shishuai Hu^†, Ke Zou, Huazhu Fu, Liangli Zhen*, and Yong Xia*
Vision-Amplified Semantic Entropy for Hallucination Detection in Medical Visual Question Answering
MICCAI 2025. [Paper, Code]

Volumetric Medical Image Segmentation

	Shishuai Hu, Zehui Liao, Yiwen Ye, and Yong Xia* Boundary-Aware Network for Kidney Parsing MICCAI 2022 Workshop, Lesion Segmentation in Surgical and Diagnostic Applications, 2023. [Paper, Code, Project] [Rank 2-nd in KiPA22, Rank Top-5 in AMOS22]
	Shishuai Hu, Jianpeng Zhang, and Yong Xia* Boundary-Aware Network for Kidney Tumor Segmentation MICCAI 2020 Workshop, Machine Learning in Medical Imaging (MLMI), 2020. [Paper]

Semi-supervised Medical Image Segmentation

Shishuai Hu, Zehui Liao, and Yong Xia*
Label Propagation for 3D Carotid Vessel Wall Segmentation and Atherosclerosis Diagnosis
Preprint, 2022. [Paper, Code] [Rank 2-nd in COSMOS 2022]

Awards and Honors

[2024.11] • National Scholarship for PhD Students
[2023.10] • Outstanding Graduate Student of Northwestern Polytechnical University
[2022.09] • Innovation Award in Kidney Parsing Challenge
[2022.08] • Second Place in CarOtid vessel wall SegMentation and atherosclerOsis diagnosiS (COSMOS) Challenge
[2022.08] • Top-5 in Multi-Modality Abdominal Multi-Organ Segmentation (AMOS) Challenge
[2022.08] • Second Place in Kidney Parsing Challenge
[2022.08] • Second Prize in MICS Student Presentation Challenge
[2021.01] • First Place in COVID-19 Lung CT Lesion Segmentation Challenge
[2020.12] • Second Prize in the Challenge of Segmentation of Pulmonary Tissues in the 4th ISICDM
[2020.12] • Third Prize in the Challenge of Acceleration of MR Imaging in the 4th ISICDM
[2020.09, 2021.09] • University Graduate Fellowship, Northwestern Polytechnical University
[2019.08] • MICCAI Undergraduate Student Travel Award

Academic Services

Conference Reviews

MICCAI 2023, 2024, 2025
ISBI 2025

Journal Reviews

IEEE Transactions on Medical Imaging (TMI)
IEEE Transactions on Image Processing (TIP)
IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
IEEE Journal of Biomedical and Health Informatics (JBHI)
International Journal of Computer Vision (IJCV)
Artificial Intelligence In Medicine
Computers in Biology and Medicine
Pattern Recognition
Engineering Applications of Artificial Intelligence

Academic Activities

11 October 2023: MICCAI 2023, Online (Poster)
21 September 2022: MICCAI 2022, Virtual (Poster)
18 September 2022: MICCAI-AMOS, Virtual Meeting (Online Oral Presentation)
18 September 2022: MICCAI-COSMOS, Virtual Meeting (Online Oral Presentation)
18 September 2022: MICCAI-KiPA, Virtual Meeting (Online Oral Presentation)
24 August 2022: SMRA 2022, Virtual Meeting (Online Oral Presentation)
22-24 August 2022: VALSE 2022, Tianjin, China (Poster)
11-13 August 2022: MICS 2022, Nanjing, China (Student Challenge Presentation)
10 January 2021: COVID-19 Lung CT Lesion Segmentation Challenge Mini-symposium, Online (Online Oral Presentation)
04-08 October 2020: MICCAI-MLMI 2020, Virtual Meeting (Online Presentation)