FD
Florian Dubost
cs.CVeess.IVcs.LGCerebral Small Vessel Diseasescs.AIDeep learningSegmentationStrokeMagnetic Resonance ImagingNeural Networks, Computer
On Valency
published · living versionsW_5j8gaq3q·v1 · currentpublished
SWIM: Learning What Matters from Behaviors for JEPA World Models
with Jiaming Hu, Shi Bo, Yan Zheng, Tian Wang +9
1 version
Preprints & journals
53 papers in the corpus · 2016–2026Association of Enlarged Perivascular Spaces and Total Small Vessel Disease Burden With Kidney Function.42886880 · Nash, Philip S, Ambler, Gareth, Best, Jonathan G et al.2026 · 0 citationsNeurology. 2026;107(9):e218755
Reperesentation Geometry Matters for Planning with JEPA World Models2608.16287v3 · Jiaming Hu, Yan Zheng, Shi Bo et al.2026 · 0 citationsarXiv
Association of Enlarged Perivascular Spaces and Total Small Vessel Disease Burden With Kidney Function.42551001 · Nash, Philip S, Ambler, Gareth, Best, Jonathan G et al.2026 · 2 citationsNeurology. 2026;107(4):e218406
3D Primitives are a Spatial Language for VLMs2605.12586v1 · Junze Liu, Kun Qian, Florian Dubost et al.2026 · 0 citationsarXiv
Association of glomerular hyperfiltration with mortality in stroke: an analysis using pooled individual patient data.42114132 · Nash, Philip S, Ambler, Gareth, Best, Jonathan G et al.2026 · 0 citationsEuropean stroke journal. 2026;11(5)
Increased risk of recurrent stroke in patients with impaired kidney function: results of a pooled analysis of individual patient data from the MICON international collaboration.40274401 · Molad, Jeremy, Miwa, Kaori, Nash, Philip S et al.2025 · 6 citationsJournal of neurology, neurosurgery, and psychiatry. 2025;96(9):842-851
Restereo: Diffusion stereo video generation and restoration2506.06023v1 · Xingchang Huang, Ashish Kumar Singh, Florian Dubost et al.2025 · 0 citationsarXiv
MedShapeNet - a large-scale dataset of 3D medical shapes for computer vision.39733351 · Li, Jianning, Zhou, Zongwei, Yang, Jiancheng et al.2025 · 47 citationsBiomedizinische Technik. Biomedical engineering. 2025;70(1):71-90
SMILE-UHURA Challenge -- Small Vessel Segmentation at Mesoscopic Scale from Ultra-High Resolution 7T Magnetic Resonance Angiograms2411.09593v3 · Soumick Chatterjee, Hendrik Mattern, Marc Dorner et al.2024 · 6 citationsarXiv
Dynamic Gaussian Marbles for Novel View Synthesis of Casual Monocular Videos2406.18717v2 · Colton Stearns, Adam Harley, Mikaela Uy et al.2024 · 39 citationsarXiv
PhysAvatar: Learning the Physics of Dressed 3D Avatars from Visual Observations2404.04421v2 · Yang Zheng, Qingqing Zhao, Guandao Yang et al.2024 · 31 citationsarXiv
Editorial: Enlarged perivascular spaces: etiology and significance.38161800 · Cavallari, Michele, Dubost, Florian, Guttmann, Charles R G et al.2024 · 6 citationsFrontiers in neuroscience. 2023;17:1321691
Clinical Associations and Prognostic Value of MRI-Visible Perivascular Spaces in Patients With Ischemic Stroke or TIA: A Pooled Analysis38165371 · Best, Jonathan G, Ambler, Gareth, Wilson, Duncan et al.2024 · 11 citationsNeurology. 2024;102(1):e207795
Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021.37988921 · Sudre, Carole H, Van Wijnen, Kimberlin, Dubost, Florian et al.2023 · 44 citationsMedical image analysis. 2024;91:103029
The Hidden Adversarial Vulnerabilities of Medical Federated Learning2310.13893v1 · Erfan Darzi, Florian Dubost, Nanna. M. Sijtsema et al.2023 · 2 citationsarXiv
Exploring adversarial attacks in federated learning for medical imaging2310.06227v1 · Erfan Darzi, Florian Dubost, N.M. Sijtsema et al.2023 · 44 citationsarXiv
Genomics of perivascular space burden unravels early mechanisms of cerebral small vessel disease.37069360 · Duperron, Marie-Gabrielle, Knol, Maria J, Le Grand, Quentin et al.2023 · 130 citationsNature medicine. 2023;29(4):950-962
ATCON: Attention Consistency for Vision Models2210.09705v1 · Ali Mirzazadeh, Florian Dubost, Maxwell Pike et al.2022 · 1 citationarXiv
Determinants of Perivascular Spaces in the General Population: A Pooled Cohort Analysis of Individual Participant Data.36253103 · Evans, Tavia E, Knol, Maria J, Schwingenschuh, Petra et al.2023 · 62 citationsNeurology. 2023;100(2):e107-e122
DS6, Deformation-Aware Semi-Supervised Learning: Application to Small Vessel Segmentation with Noisy Training Data.36286353 · Chatterjee, Soumick, Prabhu, Kartik, Pattadkal, Mahantesh et al.2022 · 23 citationsJournal of imaging. 2022;8(10)
Weakly-supervised segmentation using inherently-explainable classification models and their application to brain tumour classification2206.05148v3 · Soumick Chatterjee, Hadya Yassin, Florian Dubost et al.2022 · 3 citationsarXiv
Automated Detection of Patients in Hospital Video Recordings2111.14270v1 · Siddharth Sharma, Florian Dubost, Christopher Lee-Messer et al.2021 · 0 citationsarXiv
An end-to-end approach to segmentation in medical images with CNN and posterior-CRF.34902793 · Chen, Shuai, Sedghi Gamechi, Zahra, Dubost, Florian et al.2022 · 71 citationsMedical image analysis. 2022;76:102311
Sleep and perivascular spaces in the middle-aged and elderly population.34549850 · Lysen, Thom S, Yilmaz, Pinar, Dubost, Florian et al.2022 · 22 citationsJournal of sleep research. 2022;31(2):e13485
Automated Segmentation and Volume Measurement of Intracranial Internal Carotid Artery Calcification at Noncontrast CT.34617024 · Bortsova, Gerda, Bos, Daniel, Dubost, Florian et al.2022 · 24 citationsRadiology. Artificial intelligence. 2021;3(5):e200226
Adversarial attack vulnerability of medical image analysis systems: Unexplored factors.34246850 · Bortsova, Gerda, González-Gonzalo, Cristina, Wetstein, Suzanne C et al.2021 · 127 citationsMedical image analysis. 2021;73:102141
Double Descent Optimization Pattern and Aliasing: Caveats of Noisy Labels2106.02100v2 · Florian Dubost, Erin Hong, Max Pike et al.2021 · 0 citationsarXiv
Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge.34052465 · Timmins, Kimberley M, van der Schaaf, Irene C, Bennink, Edwin et al.2021 · 87 citationsNeuroImage. 2021;238:118216
Intracranial arteriosclerosis is related to cerebral small vessel disease: a prospective cohort study.34004492 · Vinke, Elisabeth J, Yilmaz, Pinar, van der Toorn, Janine E et al.2021 · 26 citationsNeurobiology of aging. 2021;105:16-24
Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis2104.08336v2 · Siyi Tang, Jared A. Dunnmon, Khaled Saab et al.2021 · 76 citationsICLR 2022
Adversarial Heart Attack: Neural Networks Fooled to Segment Heart Symbols in Chest X-Ray Images2104.00139v2 · Gerda Bortsova, Florian Dubost, Laurens Hogeweg et al.2021 · 4 citationsarXiv
Semi-Supervised Learning for Sparsely-Labeled Sequential Data: Application to Healthcare Video Processing2011.14101v5 · Florian Dubost, Erin Hong, Nandita Bhaskhar et al.2020 · 0 citationsIn Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Weakly supervised object detection with 2D and 3D regression neural networks.32674042 · Dubost, Florian, Adams, Hieab, Yilmaz, Pinar et al.2021 · 44 citationsMedical image analysis. 2020;65:101767
Spectral Data Augmentation Techniques to quantify Lung Pathology from CT-images2004.11989v1 · Subhradeep Kayal, Florian Dubost, Harm A. W. M. Tiddens et al.2020 · 5 citationsarXiv
Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation.32339896 · Dubost, Florian, Bruijne, Marleen de, Nardin, Marco et al.2021 · 3 citationsMedical image analysis. 2020;63:101698
When Weak Becomes Strong: Robust Quantification of White Matter Hyperintensities in Brain MRI scans2004.05578v1 · Oliver Werner, Kimberlin M.H. van Wijnen, Wiro J. Niessen et al.2020 · 0 citationsarXiv
Automated Estimation of the Spinal Curvature via Spine Centerline Extraction with Ensembles of Cascaded Neural Networks1911.01126v2 · Florian Dubost, Benjamin Collery, Antonin Renaudier et al.2019 · 8 citationsarXiv
Semi-Supervised Medical Image Segmentation via Learning Consistency under Transformations1911.01218v1 · Gerda Bortsova, Florian Dubost, Laurens Hogeweg et al.2019 · 222 citationsIn proceedings of Medical Image Computing and Computer Assisted Intervention - MICCAI 2019
Gray Matter Age Prediction as a Biomarker for Risk of Dementia.31575746 · Wang, Johnny, Knol, Maria J, Tiulpin, Aleksei et al.2020 · 210 citationsProceedings of the National Academy of Sciences of the United States of America. 2019;116(42):21213-21218
Patient-specific Conditional Joint Models of Shape, Image Features and Clinical Indicators.32494781 · Egger, Bernhard, Schirmer, Markus D, Dubost, Florian et al.2020 · 4 citationsMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. 2019;11767:93-101
APIR-Net: Autocalibrated Parallel Imaging Reconstruction using a Neural Network1909.09006v1 · Chaoping Zhang, Florian Dubost, Marleen de Bruijne et al.2019 · 2 citationsarXiv
Automated Quantification of Enlarged Perivascular Spaces in Clinical Brain MRI across Sites10.1101/738955v1 · Dubost, F., Duennwald, M., Huff, D. et al.2019 · 2 citationsbioRxiv
Automated Lesion Detection by Regressing Intensity-Based Distance with a Neural Network1907.12452v1 · Kimberlin M.H. van Wijnen, Florian Dubost, Pinar Yilmaz et al.2019 · 17 citationsarXiv
Event-Based Modeling with High-Dimensional Imaging Biomarkers for Estimating Spatial Progression of Dementia1903.03386v1 · Vikram Venkatraghavan, Florian Dubost, Esther E. Bron et al.2019 · 3 citationsarXiv
Grey Matter Age Prediction as a Biomarker for Risk of Dementia: A Population-based Study10.1101/518506v1 · Wang, J., Knol, M., Tiulpin, A. et al.2019 · 13 citationsbioRxiv
3D regression neural network for the quantification of enlarged perivascular spaces in brain MRI.30390514 · Dubost, Florian, Adams, Hieab, Bortsova, Gerda et al.2019 · 6 citationsMedical image analysis. 2019;51:89-100
Enlarged perivascular spaces in brain MRI: Automated quantification in four regions.30326293 · Dubost, Florian, Yilmaz, Pinar, Adams, Hieab et al.2019 · 111 citationsNeuroImage. 2019;185:534-544
Deep Learning from Label Proportions for Emphysema Quantification1807.08601v1 · Gerda Bortsova, Florian Dubost, Silas \Orting et al.2018 · 27 citationsarXiv
Hydranet: Data Augmentation for Regression Neural Networks1807.04798v3 · Florian Dubost, Gerda Bortsova, Hieab Adams et al.2018 · 2 citationsarXiv
Quantification of Lung Abnormalities in Cystic Fibrosis using Deep Networks1803.07991v1 · Filipe Marques, Florian Dubost, Mariette Kemner-van de Corput et al.2018 · 10 citationsProc. SPIE 10574, Medical Imaging 2018: Image Processing, 105741G (2 March 2018)
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