Xiaojiao Xiao

According to our database, Xiaojiao Xiao authored at least 13 papers between 2016 and 2026.

Collaborative distances:

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

2026

T-CACE: A Time-Conditioned Autoregressive Contrast Enhancement Multi-Task Framework for Contrast-Free Liver MRI Synthesis, Segmentation, and Diagnosis.

Xiaojiao Xiao, Jianfeng Zhao, Qinmin Vivian Hu, Guanghui Wang

IEEE J. Biomed. Health Informatics, March, 2026

2025

Adversarial Multi-Task Learning for Liver Tumor Segmentation, Dynamic Enhancement Regression, and Classification.

Xiaojiao Xiao, Qinmin Vivian Hu, Tae Hyun Kim, Guanghui Wang

CoRR, November, 2025

Pyramid Hierarchical Masked Diffusion Model for Imaging Synthesis.

Xiaojiao Xiao, Qinmin Vivian Hu, Guanghui Wang

Proceedings of the International Joint Conference on Neural Networks, 2025

2024

FgC2F-UDiff: Frequency-Guided and Coarse-to-Fine Unified Diffusion Model for Multi-Modality Missing MRI Synthesis.

Xiaojiao Xiao, Qinmin Vivian Hu, Guanghui Wang

IEEE Trans. Computational Imaging, 2024

Predicting Mitral Valve mTEER Surgery Outcomes Using Machine Learning and Deep Learning Techniques.

Tejas Vyas, Mohsena Chowdhury, Xiaojiao Xiao, Mathias Claeys, Géraldine Ong, Guanghui Wang

Proceedings of the 2024 9th International Conference on Mathematics and Artificial Intelligence, 2024

2023

Edge-Aware Multi-task Network for Integrating Quantification Segmentation and Uncertainty Prediction of Liver Tumor on Multi-modality Non-contrast MRI.

Xiaojiao Xiao, Qinmin Vivian Hu, Guanghui Wang

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

2022

Task relevance driven adversarial learning for simultaneous detection, size grading, and quantification of hepatocellular carcinoma via integrating multi-modality MRI.

Xiaojiao Xiao, Jianfeng Zhao, Shuo Li

Medical Image Anal., 2022

2021

United adversarial learning for liver tumor segmentation and detection of multi-modality non-contrast MRI.

Jianfeng Zhao, Dengwang Li, Xiaojiao Xiao, Fabio Accorsi, Harry Marshall, Tyler Cossetto, Dongkeun Kim, Daniel McCarthy, Cameron Dawson, Stefan Knezevic, Bo Chen, Shuo Li

Medical Image Anal., 2021

Segmentation of Liver Lesions Without Contrast Agents With Radiomics-Guided Densely UNet-Nested GAN.

Xiaojiao Xiao, Yan Qiang, Juanjuan Zhao, Xingyu Yang, Xiaotang Yang

IEEE Access, 2021

mfTrans-Net: Quantitative Measurement of Hepatocellular Carcinoma via Multi-Function Transformer Regression Network.

Jianfeng Zhao, Xiaojiao Xiao, Dengwang Li, Jaron Chong, Zahra Kassam, Bo Chen, Shuo Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2019

A feature extraction method for lung nodules based on a multichannel principal component analysis network (PCANet).

Xiaojiao Xiao, Zilin Qiang, Juanjuan Zhao, Yan Qiang, Pan Wang, Peng Han

Multim. Tools Appl., 2019

Radiomics-guided GAN for Segmentation of Liver Tumor Without Contrast Agents.

Xiaojiao Xiao, Juanjuan Zhao, Yan Qiang, Jaron Chong, Xiaotang Yang, Ntikurako Guy-Fernand Kazihise, Bo Chen, Shuo Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2016

A Deep Learning Model of Automatic Detection of Pulmonary Nodules Based on Convolution Neural Networks (CNNs).

Xiaojiao Xiao, Yan Qiang, Juanjuan Zhao, Pengfei Zhao

Proceedings of the Bio-inspired Computing - Theories and Applications, 2016