Luyi Han
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
2
Active years
2021–2026
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | LUMIN: A Longitudinal Multi-modal Knowledge Decomposition Network for Predicting Breast Cancer Recurrence. | Chunyao Lu, Tianyu Zhang, Xinglong Liang, Yuan Gao, Luyi Han, Xin Wang, Nika Rasoolzadeh, Tao Tan, Ritse Mann |
| 2025 | MICCAI | ADAptation: Reconstruction-Based Unsupervised Active Learning for Breast Ultrasound Diagnosis. | Yaofei Duan, Yuhao Huang, Xin Yang, Luyi Han, Xinyu Xie, Zhiyuan Zhu, Ping He, Ka-Hou Chan, Ligang Cui, Sio Kei Im, Dong Ni, Tao Tan |
| 2025 | MICCAI | DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation. | Xinglong Liang, Jiaju Huang, Luyi Han, Tianyu Zhang, Xin Wang, Yuan Gao, Chunyao Lu, Lishan Cai, Tao Tan, Ritse Mann |
| 2025 | MICCAI | Tumor Segmentation with Heterogeneity Clustering in Non-Contrast Breast MRI. | Xinyu Xie, Luyi Han, Yonghao Li, Yaofei Duan, Yue Sun, Muzhen He, Tao Tan, Dinggang Shen |
| 2025 | MICCAI | FDF-VQVAE: A Frequency Disentanglement and Fusion Learning Framework for Multi-sequence MRI Enhancement. | Xinghe Xie, Luyi Han, Yue Sun, Chi Kin Lam, Jian Zheng, Tong Tong, Wei Ke, Chan-Tong Lam, Tao Tan |
| 2024 | MICCAI | One for All: UNET Training on Single-Sequence Masks for Multi-sequence Breast MRI Segmentation. | Jarek van Dijk, Luyi Han, Luuk Balkenende, Nika Rasoolzadeh, Karine R. Morche, Tianyu Zhang, Ritse M. Mann |
| 2024 | MICCAI | Improving Neoadjuvant Therapy Response Prediction by Integrating Longitudinal Mammogram Generation with Cross-Modal Radiological Reports: A Vision-Language Alignment-Guided Model. | Yuan Gao, Hong-Yu Zhou, Xin Wang, Tianyu Zhang, Luyi Han, Chunyao Lu, Xinglong Liang, Jonas Teuwen, Regina Beets-Tan, Tao Tan, Ritse Mann |
| 2024 | MICCAI | Non-adversarial Learning: Vector-Quantized Common Latent Space for Multi-sequence MRI. | Luyi Han, Tao Tan, Tianyu Zhang, Xin Wang, Yuan Gao, Chunyao Lu, Xinglong Liang, Haoran Dou, Yunzhi Huang, Ritse Mann |
| 2024 | MICCAI | Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms. | Xin Wang, Tao Tan, Yuan Gao, Eric Marcus, Luyi Han, Antonio Portaluri, Tianyu Zhang, Chunyao Lu, Xinglong Liang, Regina Beets-Tan, Jonas Teuwen, Ritse Mann |
| 2023 | MICCAI | GSMorph: Gradient Surgery for Cine-MRI Cardiac Deformable Registration. | Haoran Dou, Ning Bi, Luyi Han, Yuhao Huang, Ritse Mann, Xin Yang, Dong Ni, Nishant Ravikumar, Alejandro F. Frangi, Yunzhi Huang |
| 2023 | MICCAI | Fine-Grained Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation. | Luyi Han, Tao Tan, Ritse Mann |
| 2023 | MICCAI | An Explainable Deep Framework: Towards Task-Specific Fusion for Multi-to-One MRI Synthesis. | Luyi Han, Tianyu Zhang, Yunzhi Huang, Haoran Dou, Xin Wang, Yuan Gao, Chunyao Lu, Tao Tan, Ritse Mann |
| 2023 | MICCAI | DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms Using Self-adversarial Learning. | Xin Wang, Tao Tan, Yuan Gao, Luyi Han, Tianyu Zhang, Chunyao Lu, Regina Beets-Tan, Ruisheng Su, Ritse Mann |
| 2023 | MICCAI | Synthesis of Contrast-Enhanced Breast MRI Using T1- and Multi-b-Value DWI-Based Hierarchical Fusion Network with Attention Mechanism. | Tianyu Zhang, Luyi Han, Anna D'Angelo, Xin Wang, Yuan Gao, Chunyao Lu, Jonas Teuwen, Regina Beets-Tan, Tao Tan, Ritse Mann |
| 2022 | MICCAI | Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework. | Haoran Dou, Luyi Han, Yushuang He, Jun Xu, Nishant Ravikumar, Ritse Mann, Alejandro F. Frangi, Pew-Thian Yap, Yunzhi Huang |
| 2021 | MICCAI | Deformable Registration of Brain MR Images via a Hybrid Loss. | Luyi Han, Haoran Dou, Yunzhi Huang, Pew-Thian Yap |