Riqiang Gao
Orcid: 0000-0002-8729-1941
According to our database1,
Riqiang Gao
authored at least 44 papers
between 2015 and 2023.
Collaborative distances:
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Bibliography
2023
UNesT: Local spatial representation learning with hierarchical transformer for efficient medical segmentation.
Medical Image Anal., December, 2023
Body composition assessment with limited field-of-view computed tomography: A semantic image extension perspective.
Medical Image Anal., August, 2023
Deep conditional generative models for longitudinal single-slice abdominal computed tomography harmonization.
CoRR, 2023
COSST: Multi-organ Segmentation with Partially Labeled Datasets Using Comprehensive Supervisions and Self-training.
CoRR, 2023
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Time-distance vision transformers in lung cancer diagnosis from longitudinal computed tomography.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Longitudinal variability analysis on low-dose abdominal CT with deep learning-based segmentation.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures from Routine EHRs for Pulmonary Nodule Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
A Comparative Study of Confidence Calibration in Deep Learning: From Computer Vision to Medical Imaging.
CoRR, 2022
Pseudo-Label Guided Multi-Contrast Generalization for Non-Contrast Organ-Aware Segmentation.
CoRR, 2022
Reducing uncertainty in cancer risk estimation for patients with indeterminate pulmonary nodules using an integrated deep learning model.
Comput. Biol. Medicine, 2022
Extending the value of routine lung screening CT with quantitative body composition assessment.
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative Models.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
Medical Image Anal., 2021
CoRR, 2021
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Renal cortex, medulla and pelvicaliceal system segmentation on arterial phase CT images with random patch-based networks.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Deep multi-path network integrating incomplete biomarker and chest CT data for evaluating lung cancer risk.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the MICCAI Workshop on Computational Pathology, 2021
2020
Signal Process. Image Commun., 2020
Neurocomputing, 2020
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Validation and optimization of multi-organ segmentation on clinical imaging archives.
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Deep multi-task prediction of lung cancer and cancer-free progression from censored heterogenous clinical imaging.
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Prediction of Type II Diabetes Onset with Computed Tomography and Electronic Medical Records.
Proceedings of the Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures, 2020
Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020
Automatic Labeling of Cortical Sulci Using Spherical Convolutional Neural Networks in a Developmental Cohort.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
Lung cancer detection using co-learning from chest CT images and clinical demographics.
Proceedings of the Medical Imaging 2019: Image Processing, 2019
Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
2018
IEEE Signal Process. Lett., 2018
2017
IEICE Trans. Inf. Syst., 2017
2016
Proceedings of the 2016 Visual Communications and Image Processing, 2016
Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016
2015
Proceedings of the Biometric Recognition - 10th Chinese Conference, 2015