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)

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)

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)

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)

Foundation Models in Medical Imaging - A Review and Outlook. - Vivien van Veldhuizen; Vanessa Botha; Chunyao Lu; Melis Erdal Cesur; Kevin Groot Lipman; Edwin D. de Jong; Hugo M. Horlings; Clarisa I. Sánchez; Cees G. M. Snoek; Lodewyk F. A. Wessels; Ritse Mann; Eric Marcus; 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)