Reproducible White Matter Tract Segmentation Using 3D U-Net on a Large-scale DTI Dataset. - Bo Li 088; Marius de Groot; Meike W. Vernooij; Mohammad Arfan Ikram; Wiro J. Niessen; Esther E. Bron (MLMI@MICCAI, 2018)

A Hybrid Deep Learning Framework for Integrated Segmentation and Registration: Evaluation on Longitudinal White Matter Tract Changes. - Bo Li 088; Wiro J. Niessen; Stefan Klein 001; Marius de Groot; Mohammad Arfan Ikram; Meike W. Vernooij; Esther E. Bron (MICCAI (3), 2019)

Learning unbiased registration and joint segmentation: evaluation on longitudinal diffusion MRI. - Bo Li 088; Wiro J. Niessen; Stefan Klein 001; Mohammad Arfan Ikram; Meike W. Vernooij; Esther E. Bron (CoRR, 2020)

Neuro4Neuro: A neural network approach for neural tract segmentation using large-scale population-based diffusion imaging. - Bo Li 088; Marius de Groot; Rebecca M. E. Steketee; Rozanna Meijboom; Marion Smits; Meike W. Vernooij; Mohammad Arfan Ikram; Jiren Liu; Wiro J. Niessen; Esther E. Bron (NeuroImage, 2020)

Projection-Wise Disentangling for Fair and Interpretable Representation Learning: Application to 3D Facial Shape Analysis. - Xianjing Liu; Bo Li 088; Esther E. Bron; Wiro J. Niessen; Eppo B. Wolvius; Gennady V. Roshchupkin (MICCAI (5), 2021)

Learning unbiased group-wise registration (LUGR) and joint segmentation: evaluation on longitudinal diffusion MRI. - Bo Li 088; Wiro J. Niessen; Stefan Klein 001; Mohammad Arfan Ikram; Meike W. Vernooij; Esther E. Bron (Image Processing, 2021)

Longitudinal diffusion MRI analysis using Segis-Net: A single-step deep-learning framework for simultaneous segmentation and registration. - Bo Li 088; Wiro J. Niessen; Stefan Klein 001; Marius de Groot; Mohammad Arfan Ikram; Meike W. Vernooij; Esther E. Bron (NeuroImage, 2021)

Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. - Carole H. Sudre; Kimberlin M. H. van Wijnen; Florian Dubost; Hieab Adams; David Atkinson; Frederik Barkhof; Mahlet A. Birhanu; Esther E. Bron; Robin Camarasa; Nish Chaturvedi; Yuan Chen; Zihao Chen; et al. (CoRR, 2022)

An Interpretable Machine Learning Model with Deep Learning-Based Imaging Biomarkers for Diagnosis of Alzheimer's Disease. - Wenjie Kang; Bo Li 088; Janne M. Papma; Lize C. Jiskoot; Peter Paul De Deyn; Geert Jan Biessels; Jurgen A. H. R. Claassen; Huub A. M. Middelkoop; Wiesje M. van der Flier; Inez H. G. B. Ramakers; Stefan Klein 001; Esther E. Bron (ISIC/Care-AI/MedAGI/DeCaF@MICCAI, 2023)

Deep learning-based group-wise registration for longitudinal MRI analysis in glioma. - Claudia Chinea Hammecher; Karin van Garderen; Marion Smits; Pieter Wesseling; Bart A. Westerman; Pim J. French; Mathilde C. M. Kouwenhoven; Roel G. W. Verhaak; Frans Vos; Esther Bron; Bo Li 088 (CoRR, 2023)

Prior-knowledge-informed deep learning for lacune detection and quantification using multi-site brain MRI. - Bo Li 088; Jeroen de Bresser; Wiro J. Niessen; Matthias van Osch; Wiesje M. van der Flier; Geert Jan Biessels; Meike W. Vernooij; Esther Bron (CoRR, 2023)

Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. - Carole H. Sudre; Kimberlin M. H. van Wijnen; Florian Dubost; Hieab Adams; David Atkinson; Frederik Barkhof; Mahlet A. Birhanu; Esther E. Bron; Robin Camarasa; Nish Chaturvedi; Yuan Chen; Zihao Chen; et al. (Medical Image Anal., 2024)

AI-based association analysis for medical imaging using latent-space geometric confounder correction. - Xianjing Liu; Bo Li 088; Meike W. Vernooij; Eppo B. Wolvius; Gennady V. Roshchupkin; Esther E. Bron (Medical Image Anal., 2025)

FetDTIAlign: A deep learning framework for affine and deformable registration of fetal brain dMRI. - Bo Li 088; Qi Zeng 004; Simon K. Warfield; Davood Karimi (NeuroImage, 2025)

Towards automatic US-MR fetal brain image registration with learning-based methods. - Qi Zeng 004; Weide Liu; Bo Li 088; Ryne Didier; P. Ellen Grant; Davood Karimi (NeuroImage, 2025)