Xiaojiao Xiao

18 papers B 1Journal 12Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
T-CACE: A Time-Conditioned Autoregressive Contrast Enhancement Multi-Task Framework for Contrast-Free Liver MRI Synthesis, Segmentation, and Diagnosis.
IEEE J. Biomed. Health Informatics
Xiaojiao Xiao, Jianfeng Zhao, Qinmin Vivian Hu, Guanghui Wang
2025 J jnl
Adversarial Multi-Task Learning for Liver Tumor Segmentation, Dynamic Enhancement Regression, and Classification.
CoRR
Xiaojiao Xiao, Qinmin Vivian Hu, Tae Hyun Kim, Guanghui Wang
2025 J jnl
FgC2F-UDiff: Frequency-guided and Coarse-to-fine Unified Diffusion Model for Multi-modality Missing MRI Synthesis.
CoRR
Xiaojiao Xiao, Qinmin Vivian Hu, Guanghui Wang
2025 B conf
Pyramid Hierarchical Masked Diffusion Model for Imaging Synthesis.
IJCNN
Xiaojiao Xiao, Qinmin Vivian Hu, Guanghui Wang
2025 J jnl
Pyramid Hierarchical Masked Diffusion Model for Imaging Synthesis.
CoRR
Xiaojiao Xiao, Qinmin Vivian Hu, Guanghui Wang
2025 J jnl
T-CACE: A Time-Conditioned Autoregressive Contrast Enhancement Multi-Task Framework for Contrast-Free Liver MRI Synthesis, Segmentation, and Diagnosis.
CoRR
Xiaojiao Xiao, Jianfeng Zhao, Qinmin Vivian Hu, Guanghui Wang
2024 J jnl
FgC2F-UDiff: Frequency-Guided and Coarse-to-Fine Unified Diffusion Model for Multi-Modality Missing MRI Synthesis.
IEEE Trans. Computational Imaging
Xiaojiao Xiao, Qinmin Vivian Hu, Guanghui Wang
2024 — conf
Predicting Mitral Valve mTEER Surgery Outcomes Using Machine Learning and Deep Learning Techniques.
ICMAI
Tejas Vyas, Mohsena Chowdhury, Xiaojiao Xiao, Mathias Claeys, Géraldine Ong, Guanghui Wang
2024 J jnl
Predicting Mitral Valve mTEER Surgery Outcomes Using Machine Learning and Deep Learning Techniques.
CoRR
Tejas Vyas, Mohsena Chowdhury, Xiaojiao Xiao, Mathias Claeys, Géraldine Ong, Guanghui Wang
2023 — conf
Edge-Aware Multi-task Network for Integrating Quantification Segmentation and Uncertainty Prediction of Liver Tumor on Multi-modality Non-contrast MRI.
MICCAI (4)
Xiaojiao Xiao, Qinmin Vivian Hu, Guanghui Wang
2023 J jnl
Edge-aware Multi-task Network for Integrating Quantification Segmentation and Uncertainty Prediction of Liver Tumor on Multi-modality Non-contrast MRI.
CoRR
Xiaojiao Xiao, Qinmin Hu, Guanghui Wang
2022 J jnl
Task relevance driven adversarial learning for simultaneous detection, size grading, and quantification of hepatocellular carcinoma via integrating multi-modality MRI.
Medical Image Anal.
Xiaojiao Xiao, Jianfeng Zhao, Shuo Li
2021 J jnl
Segmentation of Liver Lesions Without Contrast Agents With Radiomics-Guided Densely UNet-Nested GAN.
IEEE Access
Xiaojiao Xiao, Yan Qiang, Juanjuan Zhao, Xingyu Yang, Xiaotang Yang
2021 J jnl
United adversarial learning for liver tumor segmentation and detection of multi-modality non-contrast MRI.
Medical Image Anal.
Jianfeng Zhao, Dengwang Li, Xiaojiao Xiao, Fabio Accorsi, Harry Marshall, Tyler Cossetto, Dongkeun Kim, Daniel McCarthy, Cameron Dawson, Stefan Knezevic, Bo Chen, Shuo Li
2021 — conf
mfTrans-Net: Quantitative Measurement of Hepatocellular Carcinoma via Multi-Function Transformer Regression Network.
MICCAI (5)
Jianfeng Zhao, Xiaojiao Xiao, Dengwang Li, Jaron Chong, Zahra Kassam, Bo Chen, Shuo Li
2019 J jnl
A feature extraction method for lung nodules based on a multichannel principal component analysis network (PCANet).
Multim. Tools Appl.
Xiaojiao Xiao, Zilin Qiang, Juanjuan Zhao, Yan Qiang, Pan Wang, Peng Han
2019 — conf
Radiomics-guided GAN for Segmentation of Liver Tumor Without Contrast Agents.
MICCAI (2)
Xiaojiao Xiao, Juanjuan Zhao, Yan Qiang, Jaron Chong, Xiaotang Yang, Ntikurako Guy-Fernand Kazihise, Bo Chen, Shuo Li
2016 — conf
A Deep Learning Model of Automatic Detection of Pulmonary Nodules Based on Convolution Neural Networks (CNNs).
BIC-TA (1)
Xiaojiao Xiao, Yan Qiang, Juanjuan Zhao, Pengfei Zhao