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Bo Li
Bo Li
Research Fellow in AI and Medical imaging @Harvard Medical School & Boston Children's Hospital
Dirección de correo verificada de childrens.harvard.edu - Página principal
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A hybrid deep learning framework for integrated segmentation and registration: evaluation on longitudinal white matter tract changes
B Li, WJ Niessen, S Klein, M de Groot, MA Ikram, MW Vernooij, EE Bron
MICCAI 2019 (oral), 645-653, 2019
442019
Neuro4Neuro: A neural network approach for neural tract segmentation using large-scale population-based diffusion imaging
B Li, M de Groot, RME Steketee, R Meijboom, M Smits, M Vernooij, ...
NeuroImage, 2020
312020
Longitudinal diffusion MRI analysis using Segis-Net: a single-step deep-learning framework for simultaneous segmentation and registration
B Li, W Niessen, S Klein, M de Groot, MA Ikram, M Vernooij, E Bron
NeuroImage; Special Issue on Longitudinal Neuroimaging, 2021
172021
Reproducible white matter tract segmentation using 3D U-Net on a large-scale DTI dataset
B Li, M de Groot, MW Vernooij, MA Ikram, WJ Niessen, EE Bron
MLMI (International Workshop on Machine Learning in Medical Imaging), 205-213, 2018
122018
Projection-wise Disentangling for Fair and Interpretable Representation Learning: Application to 3D Facial Shape Analysis
X Liu, B Li, E Bron, W Niessen, E Wolvius, G Roshchupkin
MICCAI 2021 (International Conference on Medical Image Computing and …, 2021
72021
Where is VALDO? VAscular lesions detection and segmentation challenge at MICCAI 2021
CH Sudre, K Van Wijnen, F Dubost, H Adams, D Atkinson, F Barkhof, ...
Medical Image Analysis 91, 103029, 2024
62024
Learning unbiased group-wise registration (LUGR) and joint segmentation: evaluation on longitudinal diffusion MRI
B Li, WJ Niessen, S Klein, MA Ikram, MW Vernooij, EE Bron
SPIE Medical Imaging 2021 (oral), 2020
6*2020
A diffusion tensor imaging analysis of frontal lobe white matter microstructure in trigonocephaly patients
CA de Planque, L Gaillard, HA Vrooman, B Li, EE Bron, MLC van Veelen, ...
Pediatric Neurology 131, 42-48, 2022
32022
An Interpretable Machine Learning Model with Deep Learning-based Imaging Biomarkers for Diagnosis of Alzheimer's Disease
W Kang, B Li, JM Papma, LC Jiskoot, PP de Deyn, GJ Biessels, ...
Clinically-oriented and Responsible AI for Medical Data Analysis (Care-AI …, 2023
12023
AI-based association analysis for medical imaging using latent-space geometric confounder correction
X Liu, B Li, MW Vernooij, EB Wolvius, GV Roshchupkin, EE Bron
arXiv preprint arXiv:2311.12836, 2023
2023
Deep learning-based group-wise registration for longitudinal MRI analysis in glioma
CC Hammecher, K van Garderen, M Smits, P Wesseling, B Westerman, ...
arXiv preprint arXiv:2306.10611, 2023
2023
Prior-knowledge-informed deep learning for lacune detection and quantification using multi-site brain MRI
B Li, J de Bresser, W Niessen, M van Osch, WM van der Flier, GJ Biessels, ...
arXiv preprint arXiv:2306.10622, 2023
2023
Deep learning-based groupwise registration for longitudinal MRI analysis in glioma
C Chinea Hammecher, K van Garderen, M Smits, P Wesseling, ...
2023 ISMRM Annual Meeting, 2023
2023
Team EMC_N-Task 3
B Li, EE Bron
2022
Prior-knowledge-informed deep learning for lacune detection and quantification using multi-site MRI
B Li, J de Bresser, W Niessen, M van Osch, WM van der Flier, GJ Biessels, ...
OHBM 2022, 2022
2022
A high-resolution autoencoder for construction of interpretable brain MRI endophenotypes
B Li, X Liu, W Niessen, E Wolvius, M Vernooij, MA Ikram, G Roshchupkin, ...
OHBM 2022 (oral), 2022
2022
White Matter Tract Segmentation: Method development, application and assessment of generalizability
B Li, M de Groot, MW Vernooij, MA Ikram, WJ Niessen, EE Bron
EuSoMII Annual Meeting ‘Advances in Medical Imaging with Informatics and …, 2018
2018
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Artículos 1–17