Semi-supervised segmentation of lesion from breast ultrasound images with attentional generative adversarial network. - Luyi Han; Yunzhi Huang; Haoran Dou; Shuai Wang; Sahar Ahamad; Honghao Luo; Qi Liu 046; Jingfan Fan; Jiang Zhang (Comput. Methods Programs Biomed., 2020)

Deformable Registration of Brain MR Images via a Hybrid Loss. - Luyi Han; Haoran Dou; Yunzhi Huang; Pew-Thian Yap (MIDOG/MOOD/Learn2Reg@MICCAI, 2021)

Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning. - Alessa Hering; Lasse Hansen; Tony C. W. Mok; Albert C. S. Chung; Hanna Siebert; Stephanie Häger; Annkristin Lange; Sven Kuckertz; Stefan Heldmann; Wei Shao 008; Sulaiman Vesal; Mirabela Rusu; et al. (CoRR, 2021)

Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation and Koos Grade Prediction Based on Semi-supervised Contrastive Learning. - Luyi Han; Yunzhi Huang; Tao Tan 002; Ritse Mann (BrainLes@MICCAI (2), 2022)

4D radiomics in dynamic contrast-enhanced MRI: prediction of pathological complete response and systemic recurrence in triple-negative breast cancer. - Marco Caballo; Wendelien B. G. Sanderink; Luyi Han; Yuan Gao; Alexandra Athanasiou; Ritse M. Mann (Computer-Aided Diagnosis, 2022)

Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework. - Haoran Dou; Luyi Han; Yushuang He; Jun Xu 005; Nishant Ravikumar; Ritse Mann; Alejandro F. Frangi; Pew-Thian Yap; Yunzhi Huang (MICCAI (4), 2022)

GAN-based disentanglement learning for chest X-ray rib suppression. - Luyi Han; Yuanyuan Lyu; Cheng Peng 008; S. Kevin Zhou (Medical Image Anal., 2022)

GSMorph: Gradient Surgery for Cine-MRI Cardiac Deformable Registration. - Haoran Dou; Ning Bi; Luyi Han; Yuhao Huang 001; Ritse Mann; Xin Yang 009; Dong Ni 001; Nishant Ravikumar; Alejandro F. Frangi; Yunzhi Huang (MICCAI (10), 2023)

Fine-Grained Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation. - Luyi Han; Tao Tan 002; Ritse Mann (BraTS/CrossMoDA@MICCAI, 2023)

An Explainable Deep Framework: Towards Task-Specific Fusion for Multi-to-One MRI Synthesis. - Luyi Han; Tianyu Zhang 006; Yunzhi Huang; Haoran Dou; Xin Wang 121; Yuan Gao; Chunyao Lu; Tao Tan 002; Ritse Mann (MICCAI (10), 2023)

DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms Using Self-adversarial Learning. - Xin Wang 121; Tao Tan 002; Yuan Gao; Luyi Han; Tianyu Zhang 006; Chunyao Lu; Regina Beets-Tan; Ruisheng Su; Ritse Mann (MICCAI (7), 2023)

Synthesis of Contrast-Enhanced Breast MRI Using T1- and Multi-b-Value DWI-Based Hierarchical Fusion Network with Attention Mechanism. - Tianyu Zhang 006; Luyi Han; Anna D'Angelo; Xin Wang 121; Yuan Gao; Chunyao Lu; Jonas Teuwen; Regina Beets-Tan; Tao Tan 002; Ritse Mann (MICCAI (7), 2023)

IMPORTANT-Net: Integrated MRI Multi-Parameter Reinforcement Fusion Generator with Attention Network for Synthesizing Absent Data. - Tianyu Zhang 006; Tao Tan 002; Luyi Han; Xin Wang 121; Yuan Gao; Jonas Teuwen; Regina Beets-Tan; Ritse Mann (CoRR, 2023)

Synthesis of Contrast-Enhanced Breast MRI Using Multi-b-Value DWI-based Hierarchical Fusion Network with Attention Mechanism. - Tianyu Zhang 006; Luyi Han; Anna D'Angelo; Xin Wang 121; Yuan Gao; Chunyao Lu; Jonas Teuwen; Regina Beets-Tan; Tao Tan 002; Ritse Mann (CoRR, 2023)

Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning. - Alessa Hering; Lasse Hansen; Tony C. W. Mok; Albert C. S. Chung; Hanna Siebert; Stephanie Häger; Annkristin Lange; Sven Kuckertz; Stefan Heldmann; Wei Shao 008; Sulaiman Vesal; Mirabela Rusu; et al. (IEEE Trans. Medical Imaging, 2023)

Radiomics and artificial intelligence in breast imaging: a survey. - Tianyu Zhang 006; Tao Tan 002; Riccardo Samperna; Zhang Li; Yuan Gao; Xin Wang 121; Luyi Han; Qifeng Yu; Regina G. H. Beets-Tan; Ritse M. Mann (Artif. Intell. Rev., 2023)

Longitudinal prediction of postnatal brain magnetic resonance images via a metamorphic generative adversarial network. - Yunzhi Huang; Sahar Ahmad; Luyi Han; Shuai Wang; Zhengwang Wu; Weili Lin; Gang Li 001; Li Wang 026; Pew-Thian Yap (Pattern Recognit., 2023)

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 006; Ritse M. Mann (Deep-Breath@MICCAI, 2024)

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 121; Tianyu Zhang 006; Luyi Han; Chunyao Lu; Xinglong Liang; Jonas Teuwen; Regina Beets-Tan; Tao Tan 002; Ritse Mann (MICCAI (1), 2024)

Non-adversarial Learning: Vector-Quantized Common Latent Space for Multi-sequence MRI. - Luyi Han; Tao Tan 002; Tianyu Zhang 006; Xin Wang 121; Yuan Gao; Chunyao Lu; Xinglong Liang; Haoran Dou; Yunzhi Huang; Ritse Mann (MICCAI (11), 2024)

Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms. - Xin Wang 121; Tao Tan 002; Yuan Gao; Eric Marcus; Luyi Han; Antonio Portaluri; Tianyu Zhang 006; Chunyao Lu; Xinglong Liang; Regina Beets-Tan; Jonas Teuwen; Ritse Mann (MICCAI (1), 2024)

To deform or not: treatment-aware longitudinal registration for breast DCE-MRI during neoadjuvant chemotherapy via unsupervised keypoints detection. - Luyi Han; Tao Tan 002; Tianyu Zhang 006; Yuan Gao; Xin Wang 121; Valentina Longo; Sofía Ventura-Díaz; Anna D'Angelo; Jonas Teuwen; Ritse Mann (CoRR, 2024)

IMPORTANT-Net: Integrated MRI multi-parametric increment fusion generator with attention network for synthesizing absent data. - Tianyu Zhang 006; Tao Tan 002; Luyi Han; Xin Wang 121; Yuan Gao; Jarek van Dijk; Antonio Portaluri; Abel Gonzalez-Huete; Anna D'Angelo; Chunyao Lu; Jonas Teuwen; Regina Beets-Tan; et al. (Inf. Fusion, 2024)

Synthesis-based imaging-differentiation representation learning for multi-sequence 3D/4D MRI. - Luyi Han; Tao Tan 002; Tianyu Zhang 006; Yunzhi Huang; Xin Wang 121; Yuan Gao; Jonas Teuwen; Ritse Mann (Medical Image Anal., 2024)

Symmetric deformable registration of multimodal brain magnetic resonance images via appearance residuals. - Yunzhi Huang; Luyi Han; Haoran Dou; Sahar Ahmad; Pew-Thian Yap (Comput. Methods Programs Biomed., 2025)

Generative feature style augmentation for domain generalization in medical image segmentation. - Yunzhi Huang; Luyi Han; Haoran Dou (Pattern Recognit., 2025)

crossMoDA Challenge: Evolution of Cross-Modality Domain Adaptation Techniques for Vestibular Schwannoma and Cochlea Segmentation from 2021 to 2023. - Navodini Wijethilake; Reuben Dorent; Marina Ivory; Aaron Kujawa; Stefan Cornelissen; Patrick Langenhuizen; Mohamed Okasha; Anna Oviedova; Hexin Dong; Bogyeong Kang; Guillaume Sallé; Luyi Han; et al. (CoRR, 2025)

ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis. - Yaofei Duan; Yuhao Huang 001; Xin Yang 009; Luyi Han; Xinyu Xie; Zhiyuan Zhu; Ping He; Ka-Hou Chan; Ligang Cui; Sio Kei Im; Dong Ni 001; Tao Tan 002 (CoRR, 2025)

Prompt Mechanisms in Medical Imaging: A Comprehensive Survey. - Hao Yang; Xinlong Liang; Zhang Li; Yue Sun; Zheyu Hu; Xinghe Xie; Behdad Dashtbozorg; Jincheng Huang; Shiwei Zhu; Luyi Han; Jiong Zhang; Shanshan Wang; et al. (CoRR, 2025)

DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation. - Xinglong Liang; Jiaju Huang; Luyi Han; Tianyu Zhang 006; Xin Wang 121; Yuan Gao; Chunyao Lu; Lishan Cai; Tao Tan 002; Ritse Mann (CoRR, 2025)