Xinglong Liang

According to our database, Xinglong Liang authored at least 15 papers between 2020 and 2026.

Collaborative distances:

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

2026

SAFE-Diff: Scale-Aware Attention and Feature-Dispersive Diffusion with Uncertainty Estimation for Contrast-Enhanced Breast MRI Synthesis.

Tianyu Zhang, Xinglong Liang, Jarek van Dijk, Luyi Han, Chunyao Lu, Antonio Portaluri, Xing Xie, Yaofei Duan, Nika Rasoolzadeh, Xin Wang, Yuan Gao, Muzhen He, Yue Sun, Jonas Teuwen, Tao Tan, Ritse Mann

CoRR, May, 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

Anatomy-guided prompting with cross-modal self-alignment for whole-body PET-CT breast cancer segmentation.

Jiaju Huang, Xiao Yang, Xinglong Liang, Shaobin Chen, Yue Sun, Greta Sp Mok, Shuo Li, Ying Wang, Tao Tan

Medical Image Anal., 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

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

C²MAOT: Cross-modal Complementary Masked Autoencoder with Optimal Transport for Cancer Segmentation in PET-CT Images.

Jiaju Huang, Shaobin Chen, Xinglong Liang, Xiao Yang, Zhuoneng Zhang, Yue Sun, Ying Wang, Tao Tan

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

All-in-One Multi-Organ Segmentation in 3D CT Images via Self-Supervised and Cross-Dataset Learning.

Jiaju Huang, Shaobin Chen, Xinglong Liang, Yue Sun, Menghan Hu, Tao Tan

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

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

DuEU-Net: Dual Encoder UNet with Modality-Agnostic Training for PET-CT Multi-modal Organ and Lesion Segmentation.

Jinhong Song, Xiao Yang, Xinglong Liang, Jiaju Huang, Junqiang Ma, Yue Sun, Wuman Luo, SengPeng Mok, Ying Wang, Tao Tan

Proceedings of the Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care, 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

2021

Biased ReLU neural networks.

Xinglong Liang, Jun Xu

Neurocomputing, 2021

2020

Univariate ReLU neural network and its application in nonlinear system identification.

Xinglong Liang, Jun Xu

CoRR, 2020