Leon Y. Cai

Orcid: 0000-0002-5812-5397

According to our database1, Leon Y. Cai authored at least 32 papers between 2018 and 2024.

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

Timeline

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Bibliography

2024
DeepN4: Learning N4ITK Bias Field Correction for T1-weighted Images.
Neuroinformatics, April, 2024

Nucleus subtype classification using inter-modality learning.
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

Deep conditional generative models for longitudinal single-slice abdominal computed tomography harmonization.
CoRR, 2023

Robust Fiber ODF Estimation Using Deep Constrained Spherical Deconvolution for Diffusion MRI.
CoRR, 2023

Exploring shared memory architectures for end-to-end gigapixel deep learning.
CoRR, 2023

A Unified Single-stage Learning Model for Estimating Fiber Orientation Distribution Functions on Heterogeneous Multi-shell Diffusion-weighted MRI.
CoRR, 2023

SynBOLD-DisCo: synthetic BOLD images for distortion correction of fMRI without additional calibration scans.
Proceedings of the Medical Imaging 2023: Image Processing, 2023

Deep constrained spherical deconvolution for robust harmonization.
Proceedings of the Medical Imaging 2023: Image Processing, 2023


Comparing voxel- and feature-wise harmonization of complex graph measures from multiple sites for structural brain network investigation of aging.
Proceedings of the Medical Imaging 2023: Image Processing, 2023

Batch size go big or go home: counterintuitive improvement in medical autoencoders with smaller batch size.
Proceedings of the Medical Imaging 2023: Image Processing, 2023

Mapping the impact of approximate gradient nonlinearity fields correction on tractography.
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

A Unified Learning Model for Estimating Fiber Orientation Distribution Functions on Heterogeneous Multi-shell Diffusion-Weighted MRI.
Proceedings of the Computational Diffusion MRI - 14th International Workshop, 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

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

Efficient quality control with mixed CT and CTA datasets.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

Ultra-high-resolution mapping of cortical layers 3T-guided 7T MRI.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

Mapping the impact of non-linear gradient fields on diffusion MRI tensor estimation.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

Multimodal neuroimaging in pediatric type 1 diabetes: a pilot multisite feasibility study of acquisition quality, motion, and variability.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

Joint independent component analysis for hypothesizing spatiotemporal relationships between longitudinal gray and white matter changes in preclinical Alzheimer's disease.
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
Fiber tractography bundle segmentation depends on scanner effects, vendor effects, acquisition resolution, diffusion sampling scheme, diffusion sensitization, and bundle segmentation workflow.
NeuroImage, 2021

Validation of group-wise registration for surface-based functional MRI analysis.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Joint analysis of structural connectivity and cortical surface features: correlates with mild traumatic brain injury.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Joint cortical surface and structural connectivity analysis of Alzheimer's disease.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

2018
Toward image-guided partial nephrectomy with the da Vinci robot: exploring surface acquisition methods for intraoperative re-registration.
Proceedings of the Medical Imaging 2018: Image-Guided Procedures, 2018


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