Lucas Fidon
Lucas Fidon
Verified email at kcl.ac.uk
Title
Cited by
Cited by
Year
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
5912018
NiftyNet: a deep-learning platform for medical imaging
E Gibson, W Li, C Sudre, L Fidon, DI Shakir, G Wang, Z Eaton-Rosen, ...
Computer methods and programs in biomedicine 158, 113-122, 2018
3882018
On the compactness, efficiency, and representation of 3D convolutional networks: brain parcellation as a pretext task
W Li, G Wang, L Fidon, S Ourselin, MJ Cardoso, T Vercauteren
IPMI 2017, 348-360, 2017
2052017
Generalised wasserstein dice score for imbalanced multi-class segmentation using holistic convolutional networks
L Fidon, W Li, LC Garcia-Peraza-Herrera, J Ekanayake, N Kitchen, ...
MICCAI Brainlesion Workshop 2017, 64-76, 2017
972017
Toolnet: holistically-nested real-time segmentation of robotic surgical tools
LC Garcia-Peraza-Herrera, W Li, L Fidon, C Gruijthuijsen, A Devreker, ...
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
742017
Scalable multimodal convolutional networks for brain tumour segmentation
L Fidon, W Li, LC Garcia-Peraza-Herrera, J Ekanayake, N Kitchen, ...
MICCAI 2017, 285-293, 2017
50*2017
Context Aware 3D CNNs for Brain Tumor Segmentation
S Chandra, M Vakalopoulou, L Fidon, E Battistella, T Estienne, R Sun, ...
MICCAI Brainlesion Workshop 2018, 299-310, 2018
242018
A System and Computer-Implemented Method for Segmenting an Image
G Wang, T Vercauteren, S Ourselin, W Li, L Fidon
US Patent App. 16/622,782, 2020
72020
Dosimetry-driven quality measure of brain pseudo Computed Tomography generated from deep learning for MRI-only radiotherapy treatment planning
EA Andres*, L Fidon*, M Vakalopoulou, M Lerousseau, A Carré, R Sun, ...
International Journal of Radiation Oncology Biology Physics, 2020
62020
Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients
S Tilborghs*, I Dirks*, L Fidon*, S Willems*, T Eelbode*, J Bertels*, B Ilsen, ...
arXiv preprint arXiv:2007.15546, 2020
52020
PO-1002 Pseudo Computed Tomography generation using 3D deep learning–Application to brain radiotherapy
EA Andres*, L Fidon*, M Vakalopoulou, G Noël, S Niyoteka, N Benzazon, ...
Radiotherapy and Oncology 133, S553, 2019
52019
Explainable-by-design semi-supervised representation learning for COVID-19 diagnosis from CT imaging
AD Berenguer, H Sahli, B Joukovsky, M Kvasnytsia, I Dirks, ...
arXiv preprint arXiv:2011.11719, 2020
32020
Distributionally Robust Deep Learning using Hardness Weighted Sampling
L Fidon, S Ourselin, T Vercauteren
arXiv preprint arXiv:2001.02658, 2020
3*2020
MONAIfbs: MONAI-based fetal brain MRI deep learning segmentation
M Ranzini, L Fidon, S Ourselin, M Modat, T Vercauteren
arXiv preprint arXiv:2103.13314, 2021
22021
Incompressible image registration using divergence-conforming B-splines
L Fidon, M Ebner, LC Garcia-Peraza-Herrera, M Modat, S Ourselin, ...
MICCAI 2019, 2019
22019
Image Compositing for Segmentation of Surgical Tools Without Manual Annotations
LC Garcia-Peraza-Herrera, L Fidon, C D’Ettorre, D Stoyanov, ...
IEEE transactions on medical imaging 40 (5), 1450-1460, 2021
12021
Generalized Wasserstein Dice Score, Distributionally Robust Deep Learning, and Ranger for brain tumor segmentation: BraTS 2020 challenge
L Fidon, S Ourselin, T Vercauteren
arXiv preprint arXiv:2011.01614, 2020
12020
Min-Cut Max-Flow for Network Abnormality Detection: Application to Preterm Birth
H Irzan, L Fidon, T Vercauteren, S Ourselin, N Marlow, A Melbourne
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and …, 2020
12020
Label-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation
L Fidon, M Aertsen, D Emam, N Mufti, F Guffens, T Deprest, P Demaerel, ...
MICCAI 2021, 2021
2021
Cortical spectral matching and shape and volume analysis of the fetal brain pre-and post-fetal surgery for spina bifida: a retrospective study
N Mufti, M Aertsen, M Ebner, L Fidon, P Patel, MBA Rahman, ...
Neuroradiology, 1-14, 2021
2021
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