Bo Li
Orcid: 0000-0002-1898-1148Affiliations:
- Erasmus MC, Department of Radiology and Nuclear Medicine, Rotterdam, Netherlands
- Northeastern University, Sino-Dutch Biomedical and Information Engineering School, Shenyang, China (PhD 2020)
According to our database1,
Bo Li
authored at least 13 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on linkedin.com
-
on orcid.org
-
on bigr.nl
On csauthors.net:
Bibliography
2024
<i>Where is VALDO?</i> VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021.
Medical Image Anal., January, 2024
2023
AI-based association analysis for medical imaging using latent-space geometric confounder correction.
CoRR, 2023
Prior-knowledge-informed deep learning for lacune detection and quantification using multi-site brain MRI.
CoRR, 2023
CoRR, 2023
An Interpretable Machine Learning Model with Deep Learning-Based Imaging Biomarkers for Diagnosis of Alzheimer's Disease.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023
2022
Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021.
CoRR, 2022
2021
Longitudinal diffusion MRI analysis using Segis-Net: A single-step deep-learning framework for simultaneous segmentation and registration.
NeuroImage, 2021
Learning unbiased group-wise registration (LUGR) and joint segmentation: evaluation on longitudinal diffusion MRI.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Projection-Wise Disentangling for Fair and Interpretable Representation Learning: Application to 3D Facial Shape Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
Neuro4Neuro: A neural network approach for neural tract segmentation using large-scale population-based diffusion imaging.
NeuroImage, 2020
Learning unbiased registration and joint segmentation: evaluation on longitudinal diffusion MRI.
CoRR, 2020
2019
A Hybrid Deep Learning Framework for Integrated Segmentation and Registration: Evaluation on Longitudinal White Matter Tract Changes.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2018
Reproducible White Matter Tract Segmentation Using 3D U-Net on a Large-scale DTI Dataset.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018