Xiaohuan Cao
Orcid: 0000-0002-2413-114X
According to our database1,
Xiaohuan Cao
authored at least 52 papers
between 2016 and 2024.
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Bibliography
2024
IEEE J. Biomed. Health Informatics, April, 2024
Neural Networks, 2024
SDF-Net: A Hybrid Detection Network for Mediastinal Lymph Node Detection on Contrast CT Images.
Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
2023
IEEE Trans. Medical Imaging, November, 2023
A Bone Lesion Identification Network (BLIN) in CT Images with Weakly Supervised Learning.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
2022
IEEE Trans. Big Data, 2022
Evaluation of an automated intracranial aneurysm detection and rupture analysis approach using cascade detection and classification networks.
Comput. Medical Imaging Graph., 2022
Proceedings of the Cancer Prevention Through Early Detection, 2022
Sentiment Word Aware Multimodal Refinement for Multimodal Sentiment Analysis with ASR Errors.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
2021
HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation in CT Images.
IEEE Trans. Medical Imaging, 2021
Entity set expansion in knowledge graph: a heterogeneous information network perspective.
Frontiers Comput. Sci., 2021
Comput. Medical Imaging Graph., 2021
Comput. Medical Imaging Graph., 2021
An artificial-intelligence lung imaging analysis system (ALIAS) for population-based nodule computing in CT scans.
Comput. Medical Imaging Graph., 2021
Computing infection distributions and longitudinal evolution patterns in lung CT images.
BMC Medical Imaging, 2021
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
Enhancing Multiple-choice Machine Reading Comprehension by Punishing Illogical Interpretations.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
2020
Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia.
IEEE Trans. Medical Imaging, 2020
Deep morphological simplification network (MS-Net) for guided registration of brain magnetic resonance images.
Pattern Recognit., 2020
HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation.
CoRR, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Semantic Hierarchy Guided Registration Networks for Intra-subject Pulmonary CT Image Alignment.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Automatic Segmentation of Non-tumor Tissues in Glioma MR Brain Images Using Deformable Registration with Partial Convolutional Networks.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020
2019
Pelvic Organ Segmentation Using Distinctive Curve Guided Fully Convolutional Networks.
IEEE Trans. Medical Imaging, 2019
Medical Image Anal., 2019
Medical Image Anal., 2019
Medical Image Anal., 2019
Deep Learning Deformation Initialization for Rapid Groupwise Registration of Inhomogeneous Image Populations.
Frontiers Neuroinformatics, 2019
Deep Morphological Simplification Network (MS-Net) for Guided Registration of Brain Magnetic Resonance Images.
CoRR, 2019
Morphological Simplification of Brain MR Images by Deep Learning for Facilitating Deformable Registration.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
Proceedings of the Fourth IEEE International Conference on Data Science in Cyberspace, 2019
2018
Region-Adaptive Deformable Registration of CT/MRI Pelvic Images via Learning-Based Image Synthesis.
IEEE Trans. Image Process., 2018
IEEE Trans. Biomed. Eng., 2018
Deep Learning based Inter-Modality Image Registration Supervised by Intra-Modality Similarity.
CoRR, 2018
A Heterogeneous Information Network Method for Entity Set Expansion in Knowledge Graph.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018
Volume-Based Analysis of 6-Month-Old Infant Brain MRI for Autism Biomarker Identification and Early Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Adversarial Similarity Network for Evaluating Image Alignment in Deep Learning Based Registration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Efficient Groupwise Registration of MR Brain Images via Hierarchical Graph Set Shrinkage.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Deep Learning Based Inter-modality Image Registration Supervised by Intra-modality Similarity.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018
2017
Dual-core steered non-rigid registration for multi-modal images via bi-directional image synthesis.
Medical Image Anal., 2017
Int. J. Data Sci. Anal., 2017
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017
Proceedings of the Patch-Based Techniques in Medical Imaging, 2017
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
2016
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016
Learning Appearance and Shape Evolution for Infant Image Registration in the First Year of Life.
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016
Proceedings of the Deep Learning and Data Labeling for Medical Applications, 2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Consistent Multi-Atlas Hippocampus Segmentation for Longitudinal MR Brain Images with Temporal Sparse Representation.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2016