Qi Yang
Orcid: 0000-0003-0530-0515Affiliations:
- Vanderbilt University, Department of Computer Science, Nashville, TN, USA
According to our database1,
Qi Yang
authored at least 37 papers
between 2021 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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on orcid.org
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Bibliography
2024
Brain age identification from diffusion MRI synergistically predicts neurodegenerative disease.
CoRR, 2024
CoRR, 2024
Super-Resolution Multi-Contrast Unbiased Eye Atlases With Deep Probabilistic Refinement.
CoRR, 2024
Mitigating Over-Saturated Fluorescence Images Through a Semi-Supervised Generative Adversarial Network.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 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
Single Slice Thigh CT Muscle Group Segmentation with Domain Adaptation and Self-Training.
Dataset, July, 2023
DeformUX-Net: Exploring a 3D Foundation Backbone for Medical Image Segmentation with Depthwise Deformable Convolution.
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
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
Topological-preserving membrane skeleton segmentation in multiplex immunofluorescence imaging.
Proceedings of the Medical Imaging 2023: Digital and Computational Pathology, 2023
Convolutional-recurrent neural networks approximate diffusion tractography from T1-weighted MRI and associated anatomical context.
Proceedings of the Medical Imaging with Deep Learning, 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
2022
Dataset, January, 2022
Dataset, January, 2022
Dataset, January, 2022
Dataset, January, 2022
Learning white matter subject-specific segmentation from structural MRI - recobundles.
Dataset, January, 2022
Learning white matter subject-specific segmentation from structural MRI - AFQclipped.
Dataset, January, 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
Pseudo-Label Guided Multi-Contrast Generalization for Non-Contrast Organ-Aware Segmentation.
CoRR, 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
Proceedings of the Medical Imaging 2022: Digital and Computational Pathology, 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
Pandora: 4-D White Matter Bundle Population-Based Atlases Derived from Diffusion MRI Fiber Tractography.
Neuroinformatics, 2021
Fiber tractography bundle segmentation depends on scanner effects, vendor effects, acquisition resolution, diffusion sampling scheme, diffusion sensitization, and bundle segmentation workflow.
NeuroImage, 2021
CoRR, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021