Luyi Han
Orcid: 0000-0003-4046-2763
According to our database1,
Luyi Han authored at least 41 papers
between 2020 and 2026.
Collaborative distances:
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Bibliography
2026
LoGo-MR: Screening Breast MRI for Cancer Risk Prediction by Efficient Omni-Slice Modeling.
CoRR, April, 2026
Incorporating global-local tissue changes to predict future breast cancer from longitudinal screening mammograms.
Medical Image Anal., 2026
SGAFNet: Robust brain tumor segmentation via learnable sequence-guided adaptive fusion in available MRI acquisitions.
Comput. Medical Imaging Graph., 2026
LUMIN: A Longitudinal Multi-modal Knowledge Decomposition Network for Predicting Breast Cancer Recurrence.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
UniMRISegNet: Universal 3D Network for Various Organs and Cancers Segmentation on Multi-Sequence MRI.
IEEE J. Biomed. Health Informatics, December, 2025
Multi-Modal Longitudinal Representation Learning for Predicting Neoadjuvant Therapy Response in Breast Cancer Treatment.
IEEE J. Biomed. Health Informatics, December, 2025
Diagnostic Performance of Universal-Learning Ultrasound AI Across Multiple Organs and Tasks: the UUSIC25 Challenge.
CoRR, December, 2025
crossMoDA Challenge: Evolution of Cross-Modality Domain Adaptation Techniques for Vestibular Schwannoma and Cochlea Segmentation from 2021 to 2023.
CoRR, June, 2025
Generative feature style augmentation for domain generalization in medical image segmentation.
Pattern Recognit., 2025
Synthetizing SWI from 3T to 7T by generative diffusion network for deep medullary veins visualization.
NeuroImage, 2025
Symmetric deformable registration of multimodal brain magnetic resonance images via appearance residuals.
Comput. Methods Programs Biomed., 2025
FDF-VQVAE: A Frequency Disentanglement and Fusion Learning Framework for Multi-sequence MRI Enhancement.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025
ADAptation: Reconstruction-Based Unsupervised Active Learning for Breast Ultrasound Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025
Grad-MTSeg: Mitigating Multi-Task Gradient Conflicts via Hierarchical Gradient Optimization for NPC Radiotherapy Delineation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
2024
Synthesis-based imaging-differentiation representation learning for multi-sequence 3D/4D MRI.
Medical Image Anal., February, 2024
IMPORTANT-Net: Integrated MRI multi-parametric increment fusion generator with attention network for synthesizing absent data.
Inf. Fusion, 2024
To deform or not: treatment-aware longitudinal registration for breast DCE-MRI during neoadjuvant chemotherapy via unsupervised keypoints detection.
CoRR, 2024
Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Non-adversarial Learning: Vector-Quantized Common Latent Space for Multi-sequence MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Improving Neoadjuvant Therapy Response Prediction by Integrating Longitudinal Mammogram Generation with Cross-Modal Radiological Reports: A Vision-Language Alignment-Guided Model.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
One for All: UNET Training on Single-Sequence Masks for Multi-sequence Breast MRI Segmentation.
Proceedings of the Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care, 2024
2023
Longitudinal prediction of postnatal brain magnetic resonance images via a metamorphic generative adversarial network.
Pattern Recognit., November, 2023
Artif. Intell. Rev., October, 2023
Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning.
IEEE Trans. Medical Imaging, March, 2023
Synthesis of Contrast-Enhanced Breast MRI Using Multi-b-Value DWI-based Hierarchical Fusion Network with Attention Mechanism.
CoRR, 2023
IMPORTANT-Net: Integrated MRI Multi-Parameter Reinforcement Fusion Generator with Attention Network for Synthesizing Absent Data.
CoRR, 2023
Synthesis of Contrast-Enhanced Breast MRI Using T1- and Multi-b-Value DWI-Based Hierarchical Fusion Network with Attention Mechanism.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms Using Self-adversarial Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
An Explainable Deep Framework: Towards Task-Specific Fusion for Multi-to-One MRI Synthesis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Fine-Grained Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation.
Proceedings of the Brain Tumor Segmentation, and Cross-Modality Domain Adaptation for Medical Image Segmentation, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
Medical Image Anal., 2022
Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
4D radiomics in dynamic contrast-enhanced MRI: prediction of pathological complete response and systemic recurrence in triple-negative breast cancer.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022
Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation and Koos Grade Prediction Based on Semi-supervised Contrastive Learning.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022
2021
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning.
CoRR, 2021
Proceedings of the Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis - MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021
2020
Semi-supervised segmentation of lesion from breast ultrasound images with attentional generative adversarial network.
Comput. Methods Programs Biomed., 2020