Bo Li

25 papers B 1Journal 20Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
An interpretable machine learning framework with data-informed imaging biomarkers for diagnosis and prediction of Alzheimer's disease.
Comput. Medical Imaging Graph.
Wenjie Kang, Bo Li, Lize C. Jiskoot, Peter Paul De Deyn, Geert Jan Biessels, Huiberdina L. Koek, Jurgen A. H. R. Claassen, Huub A. M. Middelkoop, Wiesje M. van der Flier, Willemijn Jansen, Stefan Klein, Esther E. Bron
2026 J jnl
Atlas-Assisted Segment Anything Model for Fetal Brain MRI (FeTal-SAM).
CoRR
Qi Zeng, Weide Liu, Bo Li, Ryne Didier, Patricia Ellen Grant, Davood Karimi
2026 J jnl
Detailed Delineation of the Fetal Brain in Diffusion MRI via Multi-Task Learning.
IEEE Trans. Medical Imaging
Davood Karimi, Camilo Calixto, Haykel Snoussi, Bo Li, Maria Camila Cortes-Albornoz, Clemente Velasco-Annis, Caitlin K. Rollins, Lana Pierotich, Camilo Jaimes, Ali Gholipour, Simon K. Warfield
2025 J jnl
AI-based association analysis for medical imaging using latent-space geometric confounder correction.
Medical Image Anal.
Xianjing Liu, Bo Li, Meike W. Vernooij, Eppo B. Wolvius, Gennady V. Roshchupkin, Esther E. Bron
2025 J jnl
FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI.
CoRR
Bo Li, Qi Zeng, Simon K. Warfield, Davood Karimi
2025 J jnl
FetDTIAlign: A deep learning framework for affine and deformable registration of fetal brain dMRI.
NeuroImage
Bo Li, Qi Zeng, Simon K. Warfield, Davood Karimi
2025 J jnl
Towards automatic US-MR fetal brain image registration with learning-based methods.
NeuroImage
Qi Zeng, Weide Liu, Bo Li, Ryne Didier, Patricia Ellen Grant, Davood Karimi
2023 J jnl
AI-based association analysis for medical imaging using latent-space geometric confounder correction.
CoRR
Xianjing Liu, Bo Li, Meike W. Vernooij, Eppo B. Wolvius, Gennady V. Roshchupkin, Esther E. Bron
2023 — conf
An Interpretable Machine Learning Model with Deep Learning-Based Imaging Biomarkers for Diagnosis of Alzheimer's Disease.
ISIC/Care-AI/MedAGI/DeCaF@MICCAI
Wenjie Kang, Bo Li, 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, Esther E. Bron
2023 J jnl
An Interpretable Machine Learning Model with Deep Learning-based Imaging Biomarkers for Diagnosis of Alzheimer's Disease.
CoRR
Wenjie Kang, Bo Li, 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, Esther E. Bron
2023 J jnl
Deep learning-based group-wise registration for longitudinal MRI analysis in glioma.
CoRR
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
2023 J jnl
Prior-knowledge-informed deep learning for lacune detection and quantification using multi-site brain MRI.
CoRR
Bo Li, Jeroen de Bresser, Wiro J. Niessen, Matthias van Osch, Wiesje M. van der Flier, Geert Jan Biessels, Meike W. Vernooij, Esther Bron
2022 J jnl
Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021.
CoRR
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, Shuai Chen, Qi Dou, Tavia E. Evans, Ivan Ezhov, Haojun Gao, Marta Gironés-Sangüesa, Juan Domingo Gispert, Beatriz Gomez Anson, Alun D. Hughes, Mohammad Arfan Ikram, Silvia Ingala, Hans Rolf Jäger, Florian Kofler, Hugo J. Kuijf, Denis Kutnar, Minho Lee, Bo Li, Luigi Lorenzini, Bjoern H. Menze, José Luis Molinuevo, Yiwei Pan, Élodie Puybareau, Rafael Rehwald, Ruisheng Su, Pengcheng Shi, Lorna Smith, Therese Tillin, Guillaume Tochon, Hélène Urien, Bas H. M. van der Velden, Isabelle F. van der Velpen, Benedikt Wiestler, Frank J. Wolters, Pinar Yilmaz, Marius de Groot, Meike W. Vernooij, Marleen de Bruijne
2021 B conf
Learning unbiased group-wise registration (LUGR) and joint segmentation: evaluation on longitudinal diffusion MRI.
Image Processing
Bo Li, Wiro J. Niessen, Stefan Klein, Mohammad Arfan Ikram, Meike W. Vernooij, Esther E. Bron
2021 J jnl
Longitudinal diffusion MRI analysis using Segis-Net: A single-step deep-learning framework for simultaneous segmentation and registration.
NeuroImage
Bo Li, Wiro J. Niessen, Stefan Klein, Marius de Groot, Mohammad Arfan Ikram, Meike W. Vernooij, Esther E. Bron
2021 — conf
Projection-Wise Disentangling for Fair and Interpretable Representation Learning: Application to 3D Facial Shape Analysis.
MICCAI (5)
Xianjing Liu, Bo Li, Esther E. Bron, Wiro J. Niessen, Eppo B. Wolvius, Gennady V. Roshchupkin
2021 J jnl
Projection-wise Disentangling for Fair and Interpretable Representation Learning: Application to 3D Facial Shape Analysis.
CoRR
Xianjing Liu, Bo Li, Esther Bron, Wiro J. Niessen, Eppo B. Wolvius, Gennady Roshchupkin
2020 J jnl
Learning unbiased registration and joint segmentation: evaluation on longitudinal diffusion MRI.
CoRR
Bo Li, Wiro J. Niessen, Stefan Klein, Mohammad Arfan Ikram, Meike W. Vernooij, Esther E. Bron
2020 J jnl
Longitudinal diffusion MRI analysis using Segis-Net: a single-step deep-learning framework for simultaneous segmentation and registration.
CoRR
Bo Li, Wiro J. Niessen, Stefan Klein, Marius de Groot, Mohammad Arfan Ikram, Meike W. Vernooij, Esther E. Bron
2020 J jnl
Neuro4Neuro: A neural network approach for neural tract segmentation using large-scale population-based diffusion imaging.
CoRR
Bo Li, 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
2020 J jnl
Neuro4Neuro: A neural network approach for neural tract segmentation using large-scale population-based diffusion imaging.
NeuroImage
Bo Li, 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
2019 — conf
A Hybrid Deep Learning Framework for Integrated Segmentation and Registration: Evaluation on Longitudinal White Matter Tract Changes.
MICCAI (3)
Bo Li, Wiro J. Niessen, Stefan Klein, Marius de Groot, Mohammad Arfan Ikram, Meike W. Vernooij, Esther E. Bron
2019 J jnl
A hybrid deep learning framework for integrated segmentation and registration: evaluation on longitudinal white matter tract changes.
CoRR
Bo Li, Wiro J. Niessen, Stefan Klein, Marius de Groot, Mohammad Arfan Ikram, Meike W. Vernooij, Esther Bron
2019 J jnl
Reproducible White Matter Tract Segmentation Using 3D U-Net on a Large-scale DTI Dataset.
CoRR
Bo Li, Marius de Groot, Meike W. Vernooij, Mohammad Arfan Ikram, Wiro J. Niessen, Esther Bron
2018 — conf
Reproducible White Matter Tract Segmentation Using 3D U-Net on a Large-scale DTI Dataset.
MLMI@MICCAI
Bo Li, Marius de Groot, Meike W. Vernooij, Mohammad Arfan Ikram, Wiro J. Niessen, Esther E. Bron