Guillaume Lemaître
Guillaume Lemaître
scikit-learn @ foundation Inria
Verified email at - Homepage
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Imbalanced-learn: A python toolbox to tackle the curse of imbalanced datasets in machine learning
G Lemaıtre, F Nogueira, CK Aridas
Journal of Machine Learning Research 18, 1-5, 2017
Computer-Aided Detection and Diagnosis for prostate cancer based on mono and multi-parametric MRI: A Review
G Lemaitre, R Marti, J Freixenet, JC Vilanova, PM Walker, F Meriaudeau
Computers in Biology and Medicine, 2015
Machine learning techniques for diabetic macular edema (DME) classification on SD-OCT images
K Alsaih, G Lemaitre, M Rastgoo, J Massich, D Sidibé, F Meriaudeau
BioMedical Engineering OnLine 16 (1), 68, 2017
Classification of SD-OCT volumes using local binary patterns: Experimental Validation for DME detection
G Lemaître, M Rastgoo, J Massich, CY Cheung, TY Wong, E Lamoureux, ...
Journal of Ophthalmology 2016, 2016
An anomaly detection approach for the identification of DME patients using spectral domain optical coherence tomography images
D Sidibe, S Sankar, G Lemaitre, M Rastgoo, J Massich, CY Cheung, ...
Computer methods and programs in biomedicine 139, 109-117, 2017
Computer-aided diagnosis for prostate cancer using multi-parametric magnetic resonance imaging
G Lemaitre
Universitat de Girona. Escola Politècnica Superior, 2016
Tackling the problem of data imbalancing for melanoma classification
M Rastgoo, G Lemaitre, J Massich, O Morel, F Marzani, R Garcia, ...
Classification of SD-OCT volumes with multi pyramids, LBP and HOG descriptors: application to DME detections
K Alsaih, G Lemaître, JM Vall, M Rastgoo, D Sidibé, TY Wong, ...
38th IEEE Engineering in Medicine and Biology Society (EMBC), 2016
Classification of SD-OCT volumes with LBP: application to DME detection
G Lemaitre, M Rastgoo, J Massich, S Sankar, F Mériaudeau, D Sidibé
University of Iowa, 2015
Classification of melanoma lesions using sparse coded features and random forests
M Rastgoo, G Lemaître, O Morel, J Massich, R Garcia, F Meriaudeau, ...
Medical Imaging 2016: Computer-Aided Diagnosis 9785, 97850C, 2016
Computer-aided detection for prostate cancer detection based on multi-parametric magnetic resonance imaging
G Lemaitre, R Martí, M Rastgoo, F Mériaudeau
2017 39th Annual International Conference of the IEEE Engineering in …, 2017
Normalization of T2W-MRI prostate images using Rician a priori
G Lemaitre, M Rastgoo, J Massich, J Vilanova, P Walker, J Freixenet, ...
SPIE Medical Imaging, 2016
Video-based depression detection using local Curvelet binary patterns in pairwise orthogonal planes
A Pampouchidou, K Marias, M Tsiknakis, P Simos, F Yang, G Lemaître, ...
2016 38th Annual International Conference of the IEEE Engineering in …, 2016
Nessie iii autonomous underwater vehicle for sauc-e 2008
J Cartwright, N Johnson, BC Davis, Z Qiang, A Linares, A Enoch, ...
Proceedings of The 10th Unmanned Underwater Vehicle Showcase, 2008
Classifying DME vs normal SD-OCT volumes: a review
J Massich, M Rastgoo, G Lemaître, CY Cheung, TY Wong, D Sidibé, ...
2016 23rd International Conference on Pattern Recognition (ICPR), 1297-1302, 2016
Nondestructive testing based on scanning-from-heating approach: application to nonthrough defect detection and fiber orientation assessment
M Belkacemi, C Stolz, A Mathieu, G Lemaitre, J Massich, O Aubreton
Journal of Electronic Imaging 24 (6), 061112, 2015
A Boosting Approach for Prostate Cancer Detection using Multi-parametric MRI
G Lemaitre, J Massich, R Marti, J Freixenet, JC Vilanova, PM Walker, ...
International Conference on Quality Control and Artificial Vision (QCAV2015), 2015
Directed Reading: Boosting algorithms
G Lemaıtre, M Radojevic
The RAMP framework: from reproducibility to transparency in the design and optimization of scientific workflows
B Kégl, A Boucaud, M Cherti, A Kazakci, A Gramfort, G Lemaitre, ...
Pruning AdaBoost for Continuous Sensors Mining Applications
M Rastgoo, G Lemaître, X Rafael, F Miralles, C Pierluigi
Ubiquitous Data Mining Workshop, 20th European Conference in Artificial …, 2012
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