Follow
Florian Dubost
Florian Dubost
Postdoctoral Researcher, Stanford University
Verified email at stanford.edu
Title
Cited by
Cited by
Year
Semi-supervised medical image segmentation via learning consistency under transformations
G Bortsova, F Dubost, L Hogeweg, I Katramados, M De Bruijne
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
1942019
Gray matter age prediction as a biomarker for risk of dementia
J Wang, MJ Knol, A Tiulpin, F Dubost, M de Bruijne, MW Vernooij, ...
Proceedings of the National Academy of Sciences 116 (42), 21213-21218, 2019
1712019
Weakly supervised object detection with 2D and 3D regression neural networks
F Dubost, H Adams, P Yilmaz, G Bortsova, G van Tulder, MA Ikram, ...
Medical image analysis 65, 101767, 2020
120*2020
Enlarged perivascular spaces in brain MRI: automated quantification in four regions
F Dubost, P Yilmaz, H Adams, G Bortsova, MA Ikram, W Niessen, ...
Neuroimage 185, 534-544, 2019
922019
Self-supervised graph neural networks for improved electroencephalographic seizure analysis
S Tang, JA Dunnmon, K Saab, X Zhang, Q Huang, F Dubost, DL Rubin, ...
International Conference on Learning Representations, 2021
722021
Adversarial Attack Vulnerability of Medical Image Analysis Systems: Unexplored Factors
G Bortsova, C González-Gonzalo, SC Wetstein, F Dubost, I Katramados, ...
Medical Image Analysis, 102141, 2021
702021
3D regression neural network for the quantification of enlarged perivascular spaces in brain MRI
F Dubost, H Adams, G Bortsova, MA Ikram, W Niessen, M Vernooij, ...
Medical image analysis 51, 89-100, 2019
582019
Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: the ADAM challenge
KM Timmins, IC van der Schaaf, E Bennink, YM Ruigrok, X An, ...
Neuroimage 238, 118216, 2021
432021
Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation
F Dubost, M de Bruijne, M Nardin, AV Dalca, KL Donahue, AK Giese, ...
Medical image analysis 63, 101698, 2020
32*2020
Deep learning from label proportions for emphysema quantification
G Bortsova, F Dubost, S Ørting, I Katramados, L Hogeweg, L Thomsen, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
312018
An end-to-end approach to segmentation in medical images with CNN and posterior-CRF
S Chen, ZS Gamechi, F Dubost, G van Tulder, M de Bruijne
Medical Image Analysis 76, 102311, 2022
242022
Automated lesion detection by regressing intensity-based distance with a neural network
KMH van Wijnen, F Dubost, P Yilmaz, MA Ikram, WJ Niessen, H Adams, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
222019
Evaluation and comparison of accurate automated spinal curvature estimation algorithms with spinal anterior-posterior X-Ray images: The AASCE2019 challenge
L Wang, C Xie, Y Lin, HY Zhou, K Chen, D Cheng, F Dubost, B Collery, ...
Medical Image Analysis 72, 102115, 2021
192021
Segmentation of intracranial arterial calcification with deeply supervised residual dropout networks
G Bortsova, G van Tulder, F Dubost, T Peng, N Navab, A van der Lugt, ...
Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017
182017
Genomics of perivascular space burden unravels early mechanisms of cerebral small vessel disease
MG Duperron, MJ Knol, Q Le Grand, TE Evans, A Mishra, A Tsuchida, ...
Nature medicine, 1-13, 2023
172023
DS6, Deformation-aware Semi-supervised Learning: Application to Small Vessel Segmentation with Noisy Training Data
S Chatterjee, K Prabhu, M Pattadkal, G Bortsova, F Dubost, H Mattern, ...
arXiv preprint arXiv:2006.10802, 2020
16*2020
Automated estimation of the spinal curvature via spine centerline extraction with ensembles of cascaded neural networks
F Dubost, B Collery, A Renaudier, A Roc, N Posocco, W Niessen, ...
Computational Methods and Clinical Applications for Spine Imaging: 6th …, 2020
162020
Hydranet: data augmentation for regression neural networks
F Dubost, G Bortsova, H Adams, MA Ikram, W Niessen, M Vernooij, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
162019
Determinants of perivascular spaces in the general population: a pooled cohort analysis of individual participant data
TE Evans, MJ Knol, P Schwingenschuh, K Wittfeld, S Hilal, MA Ikram, ...
Neurology 100 (2), e107-e122, 2023
102023
Sleep and perivascular spaces in the middle‐aged and elderly population
TS Lysen, P Yilmaz, F Dubost, MA Ikram, M de Bruijne, MW Vernooij, ...
Journal of Sleep Research 31 (2), e13485, 2022
102022
The system can't perform the operation now. Try again later.
Articles 1–20