Qi Yang

Orcid: 0000-0003-0530-0515

Affiliations:
  • Vanderbilt University, Department of Computer Science, Nashville, TN, USA


According to our database1, Qi Yang authored at least 25 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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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

Semantic-Aware Contrastive Learning for Multi-Object Medical Image Segmentation.
IEEE J. Biomed. Health Informatics, September, 2023

Predicting Age from White Matter Diffusivity with Residual Learning.
CoRR, 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

Multi-Contrast Computed Tomography Atlas of Healthy Pancreas.
CoRR, 2023

Unsupervised registration refinement for generating unbiased eye atlas.
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

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
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

Characterizing Renal Structures with 3D Block Aggregate Transformers.
CoRR, 2022

Supervised deep generation of high-resolution arterial phase computed tomography kidney substructure atlas.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

Quantification of muscle, bones, and fat on single slice thigh CT.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

Accelerating 2D abdominal organ segmentation with active learning.
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
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

Attention-Guided Supervised Contrastive Learning for Semantic Segmentation.
CoRR, 2021

Pancreas CT Segmentation by Predictive Phenotyping.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021


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