Xin Wang

According to our database, Xin Wang authored at least 23 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

LoGo-MR: Screening Breast MRI for Cancer Risk Prediction by Efficient Omni-Slice Modeling.

Xin Wang, Yuan Gao, George Yiasemis, Antonio Portaluri, Zahra Aghdam, Muzhen He, Luyi Han, Yaofei Duan, Chunyao Lu, Xinglong Liang, Tianyu Zhang, Vivien van Veldhuizen, Yue Sun, Tao Tan, Ritse Mann, Jonas Teuwen

CoRR, April, 2026

Incorporating global-local tissue changes to predict future breast cancer from longitudinal screening mammograms.

Xin Wang, Tao Tan, Yuan Gao, Eric Marcus, Hong-Yu Zhou, Chunyao Lu, Luyi Han, Antonio Portaluri, Ruisheng Su, Tianyu Zhang, Xinglong Liang, Regina Beets-Tan, Katja Pinker-Domenig, Yue Sun, Ritse Mann, Jonas Teuwen

Medical Image Anal., 2026

Adaptive multi-teacher knowledge distillation framework with foundation models for medical image analysis.

Dudu Liu, Yuan Gao, Ningyi Zhang, Xin Wang, Tianyu Zhang, Ming Fan, Yue Sun, Shuo Li, Tao Tan

Comput. Medical Imaging Graph., 2026

Synergistic perception: Fusing expert knowledge and foundation models for semi-supervised mammogram segmentation.

Jiaju Huang, Xin Wang, Xiangyu Xiong, Shaobin Chen, Yue Sun, Ka-Hou Chan, Tong Tong, Qinquan Gao, Yi Xu, Shuo Li, Tao Tan

Biomed. Signal Process. Control., 2026

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Multi-Modal Longitudinal Representation Learning for Predicting Neoadjuvant Therapy Response in Breast Cancer Treatment.

Yuan Gao, Tao Tan, Xin Wang, Regina Beets-Tan, Tianyu Zhang, Luyi Han, Antonio Portaluri, Chunyao Lu, Xinglong Liang, Jonas Teuwen, Hong-Yu Zhou, Ritse Mann

IEEE J. Biomed. Health Informatics, December, 2025

Diagnostic Performance of Universal-Learning Ultrasound AI Across Multiple Organs and Tasks: the UUSIC25 Challenge.

Zehui Lin, Luyi Han, Xin Wang, Ying Zhou, Yanning Zhang, Tianyu Zhang, Lingyun Bao, Shandong Wu, Dong Xu, Tao Tan, UUSIC25 Challenge Consortium

CoRR, December, 2025

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

2024

Synthesis-based imaging-differentiation representation learning for multi-sequence 3D/4D MRI.

Luyi Han, Tao Tan, Tianyu Zhang, Yunzhi Huang, Xin Wang, Yuan Gao, Jonas Teuwen, Ritse Mann

Medical Image Anal., February, 2024

DIAS: A dataset and benchmark for intracranial artery segmentation in DSA sequences.

Wentao Liu, Tong Tian, Lemeng Wang, Weijin Xu, Lei Li, Haoyuan Li, Wenyi Zhao, Siyu Tian, Xipeng Pan, Yiming Deng, Feng Gao, Huihua Yang, Xin Wang, Ruisheng Su

Medical Image Anal., 2024

IMPORTANT-Net: Integrated MRI multi-parametric increment fusion generator with attention network for synthesizing absent data.

Tianyu Zhang, Tao Tan, Luyi Han, Xin Wang, Yuan Gao, Jarek van Dijk, Antonio Portaluri, Abel Gonzalez-Huete, Anna D'Angelo, Chunyao Lu, Jonas Teuwen, Regina Beets-Tan, Yue Sun, Ritse Mann

Inf. Fusion, 2024

To deform or not: treatment-aware longitudinal registration for breast DCE-MRI during neoadjuvant chemotherapy via unsupervised keypoints detection.

Luyi Han, Tao Tan, Tianyu Zhang, Yuan Gao, Xin Wang, Valentina Longo, Sofía Ventura-Díaz, Anna D'Angelo, Jonas Teuwen, Ritse Mann

CoRR, 2024

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

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.

Luyi Han, Tao Tan, Tianyu Zhang, Xin Wang, Yuan Gao, Chunyao Lu, Xinglong Liang, Haoran Dou, Yunzhi Huang, Ritse Mann

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.

Yuan Gao, Hong-Yu Zhou, Xin Wang, Tianyu Zhang, Luyi Han, Chunyao Lu, Xinglong Liang, Jonas Teuwen, Regina Beets-Tan, Tao Tan, Ritse Mann

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

Radiomics and artificial intelligence in breast imaging: a survey.

Tianyu Zhang, Tao Tan, Riccardo Samperna, Zhang Li, Yuan Gao, Xin Wang, Luyi Han, Qifeng Yu, Regina G. H. Beets-Tan, Ritse M. Mann

Artif. Intell. Rev., October, 2023

2.75D: Boosting learning by representing 3D Medical imaging to 2D features for small data.

Xin Wang, Ruisheng Su, Weiyi Xie, Wenjin Wang, Yi Xu, Ritse Mann, Jungong Han, Tao Tan

Biomed. Signal Process. Control., July, 2023

Synthesis of Contrast-Enhanced Breast MRI Using 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

CoRR, 2023

IMPORTANT-Net: Integrated MRI Multi-Parameter Reinforcement Fusion Generator with Attention Network for Synthesizing Absent Data.

Tianyu Zhang, Tao Tan, Luyi Han, Xin Wang, Yuan Gao, Jonas Teuwen, Regina Beets-Tan, Ritse Mann

CoRR, 2023

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

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.

Xin Wang, Tao Tan, Yuan Gao, Luyi Han, Tianyu Zhang, Chunyao Lu, Regina Beets-Tan, Ruisheng Su, Ritse Mann

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.

Luyi Han, Tianyu Zhang, Yunzhi Huang, Haoran Dou, Xin Wang, Yuan Gao, Chunyao Lu, Tao Tan, Ritse Mann

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2018

A randomization and trial supply management system for adaptive clinical studies of TCM and its scientific research application in recurrent tuberculosis.

Tiancai Wen, Baoyan Liu, Liyun He, Xiaoying Lv, Xin Wang, Yanning Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018