Zheyuan Zhang

Orcid: 0000-0003-1868-9240

Affiliations:
  • Northwestern University, Department of Radiology, Machine & Hybrid Intelligence Lab, Chicago, IL, USA


According to our database1, Zheyuan Zhang authored at least 33 papers between 2022 and 2025.

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

Timeline

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Bibliography

2025
DiffBoost: Enhancing Medical Image Segmentation via Text-Guided Diffusion Model.
IEEE Trans. Medical Imaging, September, 2025

Pancreas Part Segmentation under Federated Learning Paradigm.
CoRR, September, 2025

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation.
CoRR, July, 2025

Cyst-X: AI-Powered Pancreatic Cancer Risk Prediction from Multicenter MRI in Centralized and Federated Learning.
CoRR, July, 2025

Pediatric Pancreas Segmentation from MRI Scans with Deep Learning.
CoRR, June, 2025

TAGS: 3D Tumor-Adaptive Guidance for SAM.
CoRR, May, 2025

VideoAds for Fast-Paced Video Understanding: Where Opensource Foundation Models Beat GPT-4o & Gemini-1.5 Pro.
CoRR, April, 2025

Large-scale multi-center CT and MRI segmentation of pancreas with deep learning.
Medical Image Anal., 2025

Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges.
Medical Image Anal., 2025


Adaptive Aggregation Weights for Federated Segmentation of Pancreas MRI.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

MDNet: Multi-Decoder Network for Abdominal CT Organs Segmentation.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
Adaptive Aggregation Weights for Federated Segmentation of Pancreas MRI.
CoRR, 2024

MDNet: Multi-Decoder Network for Abdominal CT Organs Segmentation.
CoRR, 2024

Domain Generalization with Correlated Style Uncertainty.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

GazeGNN: A Gaze-Guided Graph Neural Network for Chest X-ray Classification.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Optimizing Synthetic Data for Enhanced Pancreatic Tumor Segmentation.
Proceedings of the Artificial Intelligence in Pancreatic Disease Detection and Diagnosis, and Personalized Incremental Learning in Medicine, 2024

Practical and Ethical Considerations for Generative AI in Medical Imaging.
Proceedings of the Ethics and Fairness in Medical Imaging, 2024

Explainable Transformer Prototypes for Medical Diagnoses.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Domain Generalization with fourier Transform and soft thresholding.
Proceedings of the IEEE International Conference on Acoustics, 2024

Detection of Peri-Pancreatic Edema using Deep Learning and Radiomics Techniques.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

PAM-UNet: Shifting Attention on Region of Interest in Medical Images.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

2023
EMIT-Diff: Enhancing Medical Image Segmentation via Text-Guided Diffusion Model.
CoRR, 2023

An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency challenges.
CoRR, 2023

GazeGNN: A Gaze-Guided Graph Neural Network for Disease Classification.
CoRR, 2023

GazeSAM: What You See is What You Segment.
CoRR, 2023

Ensuring Trustworthy Medical Artificial Intelligence through Ethical and Philosophical Principles.
CoRR, 2023

Domain Generalization with Adversarial Intensity Attack for Medical Image Segmentation.
CoRR, 2023

Radiomics Boosts Deep Learning Model for IPMN Classification.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Ensemble Learning with Residual Transformer for Brain Tumor Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

GazeSAM: Interactive Image Segmentation with Eye Gaze and Segment Anything Model.
Proceedings of the Gaze Meets Machine Learning Workshop, 2023

2022
Dynamic Linear Transformer for 3D Biomedical Image Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

Transformer Based Generative Adversarial Network for Liver Segmentation.
Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022


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