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)

2.75D: Boosting learning by representing 3D Medical imaging to 2D features for small data. - Xin Wang 121; Ruisheng Su; Weiyi Xie; Wenjin Wang 002; Yi Xu; Ritse Mann; Jungong Han; Tao Tan 002 (Biomed. Signal Process. Control., 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)

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)

DIAS: A dataset and benchmark for intracranial artery segmentation in DSA sequences. - Wentao Liu 004; Tong Tian; Lemeng Wang; Weijin Xu; Lei Li; Haoyuan Li; Wenyi Zhao; Siyu Tian; Xipeng Pan; Yiming Deng; Feng Gao; Huihua Yang; et al. (Medical Image Anal., 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)

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)