Shunxing Bao
Orcid: 0000-0001-6376-4292
According to our database1,
Shunxing Bao
authored at least 86 papers
between 2016 and 2024.
Collaborative distances:
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Bibliography
2024
Super-Resolution Multi-Contrast Unbiased Eye Atlases With Deep Probabilistic Refinement.
CoRR, 2024
2023
UNesT: Local spatial representation learning with hierarchical transformer for efficient medical segmentation.
Medical Image Anal., December, 2023
IEEE J. Biomed. Health Informatics, September, 2023
DeformUX-Net: Exploring a 3D Foundation Backbone for Medical Image Segmentation with Depthwise Deformable Convolution.
CoRR, 2023
Inter-vendor harmonization of Computed Tomography (CT) reconstruction kernels using unpaired image translation.
CoRR, 2023
Deep conditional generative models for longitudinal single-slice abdominal computed tomography harmonization.
CoRR, 2023
Enhancing Hierarchical Transformers for Whole Brain Segmentation with Intracranial Measurements Integration.
CoRR, 2023
Evaluation Kidney Layer Segmentation on Whole Slide Imaging using Convolutional Neural Networks and Transformers.
CoRR, 2023
Cell Spatial Analysis in Crohn's Disease: Unveiling Local Cell Arrangement Pattern with Graph-based Signatures.
CoRR, 2023
Leverage Weakly Annotation to Pixel-wise Annotation via Zero-shot Segment Anything Model for Molecular-empowered Learning.
CoRR, 2023
High-performance Data Management for Whole Slide Image Analysis in Digital Pathology.
CoRR, 2023
Multi-scale Multi-site Renal Microvascular Structures Segmentation for Whole Slide Imaging in Renal Pathology.
CoRR, 2023
Feasibility of Universal Anomaly Detection without Knowing the Abnormality in Medical Images.
CoRR, 2023
All-in-SAM: from Weak Annotation to Pixel-wise Nuclei Segmentation with Prompt-based Finetuning.
CoRR, 2023
CoRR, 2023
Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging.
CoRR, 2023
DMSConfig: Automated Configuration Tuning for Distributed IoT Message Systems Using Deep Reinforcement Learning.
CoRR, 2023
Hierarchical particle optimization for cortical shape correspondence in temporal lobe resection.
Comput. Biol. Medicine, 2023
Proceedings of the Medical Imaging 2023: Image Processing, 2023
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
Alleviating tiling effect by random walk sliding window in high-resolution histological whole slide image synthesis.
Proceedings of the Medical Imaging with Deep Learning, 2023
Scaling up 3D Kernels with Bayesian Frequency Re-parameterization for Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Feasibility of Universal Anomaly Detection Without Knowing the Abnormality in Medical Images.
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2023
3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
Workflow Integration of Research AI Tools into a Hospital Radiology Rapid Prototyping Environment.
J. Digit. Imaging, 2022
Integrating the BIDS Neuroimaging Data Format and Workflow Optimization for Large-Scale Medical Image Analysis.
J. Digit. Imaging, 2022
Single Slice Thigh CT Muscle Group Segmentation with Domain Adaptation and Self-Training.
CoRR, 2022
Adaptive Contrastive Learning with Dynamic Correlation for Multi-Phase Organ Segmentation.
CoRR, 2022
Compound Figure Separation of Biomedical Images: Mining Large Datasets for Self-supervised Learning.
CoRR, 2022
Pseudo-Label Guided Multi-Contrast Generalization for Non-Contrast Organ-Aware Segmentation.
CoRR, 2022
Comput. Biol. Medicine, 2022
Supervised deep generation of high-resolution arterial phase computed tomography kidney substructure atlas.
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Proceedings of the Medical Imaging 2022: Image Processing, 2022
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
Cross-Scale Attention Guided Multi-instance Learning for Crohn's Disease Diagnosis with Pathological Images.
Proceedings of the Multiscale Multimodal Medical Imaging - Third International Workshop, 2022
MxIF Q-score: Biology-Informed Quality Assurance for Multiplexed Immunofluorescence Imaging.
Proceedings of the Medical Optical Imaging and Virtual Microscopy Image Analysis, 2022
Multi-modal learning with missing data for cancer diagnosis using histopathological and genomic data.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022
Guarding Against Universal Adversarial Perturbations in Data-driven Cloud/Edge Services.
Proceedings of the IEEE International Conference on Cloud Engineering, 2022
FedACA: An Adaptive Communication-Efficient Asynchronous Framework for Federated Learning.
Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 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
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
CaCL: Class-Aware Codebook Learning for Weakly Supervised Segmentation on Diffuse Image Patterns.
Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021
Rap-Net: Coarse-To-Fine Multi-Organ Segmentation With Single Random Anatomical Prior.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Configuration Tuning for Distributed IoT Message Systems Using Deep Reinforcement Learning: Poster Abstract.
Proceedings of the IoTDI '21: International Conference on Internet-of-Things Design and Implementation, 2021
Proceedings of the MICCAI Workshop on Computational Pathology, 2021
Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2021
2020
Neurocomputing, 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
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
Proceedings of the 3rd USENIX Workshop on Hot Topics in Edge Computing, 2020
2019
IEEE Trans. Medical Imaging, 2019
IEEE Trans. Medical Imaging, 2019
NeuroImage, 2019
CoRR, 2019
Stratum: A Serverless Framework for the Lifecycle Management of Machine Learning-based Data Analytics Tasks.
Proceedings of the 2019 USENIX Conference on Operational Machine Learning, 2019
Lung cancer detection using co-learning from chest CT images and clinical demographics.
Proceedings of the Medical Imaging 2019: Image Processing, 2019
Montage based 3D medical image retrieval from traumatic brain injury cohort using deep convolutional neural network.
Proceedings of the Medical Imaging 2019: Image Processing, 2019
Coronary calcium detection using 3D attention identical dual deep network based on weakly supervised learning.
Proceedings of the Medical Imaging 2019: Image Processing, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 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
STRATUM: A BigData-as-a-Service for Lifecycle Management of IoT Analytics Applications.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
2018
Algorithmic Enhancements to Data Colocation Grid Frameworks for Big Data Medical Image Processing.
PhD thesis, 2018
J. Digit. Imaging, 2018
Splenomegaly segmentation using global convolutional kernels and conditional generative adversarial networks.
Proceedings of the Medical Imaging 2018: Image Processing, 2018
Improved stability of whole brain surface parcellation with multi-atlas segmentation.
Proceedings of the Medical Imaging 2018: Image Processing, 2018
Proceedings of the Medical Imaging 2018: Image Processing, 2018
Spatially Localized Atlas Network Tiles Enables 3D Whole Brain Segmentation from Limited Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Adversarial synthesis learning enables segmentation without target modality ground truth.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
2017
A Data Colocation Grid Framework for Big Data Medical Image Processing - Backend Design.
CoRR, 2017
Cloud Engineering Principles and Technology Enablers for Medical Image Processing-as-a-Service.
Proceedings of the 2017 IEEE International Conference on Cloud Engineering, 2017
Algorithmic Enhancements to Big Data Computing Frameworks for Medical Image Processing.
Proceedings of the 2017 IEEE International Conference on Cloud Engineering, 2017
2016
Proceedings of the 40th IEEE Annual Computer Software and Applications Conference, 2016