Haoxuan Che
Orcid: 0000-0002-5844-1285
According to our database1,
Haoxuan Che
authored at least 18 papers
between 2018 and 2025.
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Bibliography
2025
A Chain of Diagnosis Framework for Accurate and Explainable Radiology Report Generation.
CoRR, August, 2025
LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning.
CoRR, June, 2025
Unpaired Optical Coherence Tomography Angiography Image Super-Resolution via Frequency-Aware Inverse-Consistency GAN.
IEEE J. Biomed. Health Informatics, April, 2025
CoRR, March, 2025
FedDAG: Federated Domain Adversarial Generation Towards Generalizable Medical Image Analysis.
CoRR, January, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
2024
DRAC 2022: A public benchmark for diabetic retinopathy analysis on ultra-wide optical coherence tomography angiography images.
Patterns, March, 2024
Rethinking Self-Training for Semi-Supervised Landmark Detection: A Selection-Free Approach.
IEEE Trans. Image Process., 2024
Deep Model Reference: Simple Yet Effective Confidence Estimation for Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
DRAC: Diabetic Retinopathy Analysis Challenge with Ultra-Wide Optical Coherence Tomography Angiography Images.
CoRR, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Learning Robust Representation for Joint Grading of Ophthalmic Diseases via Adaptive Curriculum and Feature Disentanglement.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
IEEE J. Sel. Areas Commun., 2021
2018
A computer-assisted instructional method based on machine learning in software testing class.
Comput. Appl. Eng. Educ., 2018