About Me

Lemaitre Guillaume

I am a researcher focusing on medical imaging, pattern recognition, and machine learning. I strive for open source and open data.

My Career

Post-doc at INRIA Saclay Ile-de-France/Paris-Saclay Center for Data Science

From December 2016 to March 2018, I am a post-doc between the PARIETAL team from INRIA Saclay Ile-de-France and the Paris-Saclay Center for Data Science.

Dec. 2016 - March. 2018
Post-doc

Joint PhD at UdG/UBFC

In November 2016, I graduated from a joint PhD from the Universitat de Girona and the Universite de Bourgogne France-Comte. My thesis was entitled "Computer-Aided Diagnosis for Prostate Cancer using Multi-Parametric Magnetic Resonance Imaging".

Jun. 2012 - Nov. 2016
PhD candidate

Temporary assistant professor at UBFC

From March 2015 to March 2016, I was temporary assistant professor at the Universite de Bourgogne Franche-Comte. My teaching classes included MSc classes in image processing, pattern recognition, and software enginnering.

Mar. 2015 - Mar. 2016
ATER

MSc in Business Innovation and Technology Management (BITM) at UdG

In September 2014, I graduated from a Master in Business Innovation and Technology Management. My final thesis "Valorisation of Computerized Technology in the Health Care Sector".

Sep. 2012 - Sep. 2014
MSc student candidate

Barcelona Digital

From September 2011 to June 2012, I was researcher at Barcelona Digital focusing on object recognition and more precisely traffic sign detection.

Sep. 2011 - Jun. 2012
Intern researcher

Erasmus Mundus MSc in Vision and Robotics (Vibot) at HWU-UdG-UBFC

In September 2011, I graduated from a Master in Vision and Robotics. My final thesis was entitled "Absolute Quantification in 1H MRSI of the Prostate at 3T".

Sep. 2009 - Sep. 2011
MSc student candidate

My Skills

Research

Technical

Medical Imaging

Python


Prostate Cancer

C/C++


Retinopathy

Git


Pattern Recognition

Linux/Unix


Machine Learning

Matlab


Data Mining

Latex


Computer Vision

HTML/CSS


My Projects

I2CVB Prostate

Repository associated with our medical imaging development related to prostate cancer.

I2CVB Retinopathy

Repository associated with our medical imaging development related to retinopathy.

imbalanced-learn

Python module to tackle the problem of imbalanced dataset by performing under- and over-sampling with various techniques.

Traffic signs detection

Real-time traffic sign detection using Gielis curves.


My Publications

2017

  • Machine learning techniques for diabetic macular edema (DME) classification on SD‐OCT images

    K. Alsaih, G. Lemaitre, M. Rastgoo, J. Massich, D. Sidibé, and F. Meriaudeau
    BioMedical Engineering Online, vol. 16(1), pp. 68-80, June 2017 [Open Access]
  • Leverage knowledge from under-represented classes in machine learning: an introduction to imbalanced-learn

    G. Lemaitre and C. Aridas
    PyParis 2017. Paris: France (June 2017) [Slides]
  • Computer-Aided Detection for Prostate Cancer Detection based on Multi-Parametric Magnetic Resonance Imaging

    G. Lemaitre, R. Marti, M. Rastgoo, and F. Meriaudeau
    39th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2017. Jeju Island: Korea (August 2017) [GitHub][HAL]
  • An anomaly detection approach for the identification of DME patients using SD-OCT images

    D. Sidibe, S. Sankar, G. Lemaitre, M. Rastgoo, J. Massich, C. Y. Cheung, G. S. W. Tan, D. Milea, E. Lamoureux, T. Y. Wong, and F. Meriaudeau
    Computer Methods and Programs in Biomedicine, vol. 139, pp. 109-117, February 2017 [link]
  • Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning

    G. Lemaitre, F. Nogueira, and C. K. Aridas
    Journal of Machine Learning Research, vol. 18, pp. 1-5, January 2017 [GitHub][JMLR][HAL]

2016

  • Classification of SD-OCT Volumes using Local Binary Patterns: Experimental Validation for DME detection

    G. Lemaitre, M. Rastgoo, J. Massich, C. Y. Cheung, T. Y. Wong, E. Lamoureux, D. Milea, F. Meriaudeau, and D. Sidibe
    Journal of Ophthalmology, vol. 2016, Mai 2016 [link][GitHub][HAL]
  • Classifying DME vs normal SD-OCT volumes: A review

    J. Massich, M. Rastgoo, G. Lemaitre, C. Cheung, T. Y. Wong, D. Sidibe, and F. Meriaudeau
    23rd International Conference on Pattern Recognition (ICPR) 2016. Cancun: Mexico (December 2016) [GitHub][HAL]
  • Classification of SD-OCT volumes with multi-pyramids, LBP and HoG descriptors: Application to DME detection

    K. Alsaih, G. Lemaitre, J. Massich, M. Rastgoo, D. Sidibe, T. Y. Wong, E. Lamoureux, D. Milea, C. Leung, and F. Meriaudeau
    38th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2016. Orlando: USA (August 2016) [GitHub][HAL][poster]
  • Video-based depression detection using local curvelet binary patterns in pairwise orthogonal planes

    A. Pampouchidou, K. Marias, M. Tsiknakis, P. Simos, F. Yang, G. Lemaitre, and F. Meriaudeau
    38th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2016. Orlando: USA (August 2016) [HAL]
  • Computer-aided diagnosis of diagnostically challenging lesions in breast MRI: a comparison between a radiomics and a feature-selective approach

    S. Hoffmann, M. Lobbes, I. Houben, K. Pinker-Domenig, G. Wengert, B. Burgeth, U. Meyer-Bäse, G. Lemaitre, and A. Meyer-Baese
    SPIE Commercial+ Scientific Sensing and Imaging. Baltimore: USA (July 2016)
  • A combined three-dimensional digitisation and subsurface defect detection data using active infrared thermography

    M. Belkacemi, C. Stolz, A. Mathieu, G. Lemaitre, and O. Aubreton 13th Quantitative Infrared Thermography Conference (QIRT). Gdansk: Poland (July 2016) [HAL]
  • Wood fiber orientation assessment based on punctual laser beam excitation: A preliminary study

    M. Belkacemi, J. Massich, G. Lemaitre, C. Stolz, V. Daval, G. Pot, O. Aubreton, R. Collet, and F. Meriaudeau 13th Quantitative Infrared Thermography Conference (QIRT). Gdansk: Poland (July 2016) [HAL]
  • Study of Data Imbalancing for Melanoma Classification

    M. Rastgoo, G. Lemaitre, J. Massich, O. Morel, F. Marzani, R. Garcia, and F. Meriaudeau 3rd International Conference on BIOIMAGING. Rome: Italy (February 2016) [GitHub][HAL]
  • Normalization of T2W-MRI prostate images using Rician a priori

    G. Lemaitre, M. Rastgoo, J. Massich, J. C. Vilanova, P. M. Walker, J. Freixenet, A. Meyer-Baese, F. Meriaudeau, and R. Marti SPIE Medical Imaging 2016. San Diego: USA (February 2016) [GitHub][HAL][poster]
  • Classification of melanoma lesions using sparse coded features and random forests

    M. Rastgoo, G. Lemaitre, O. Morel, J. Massich, F. Marzani, R. Garcia, and D. Sidibe SPIE Medical Imaging 2016. San Diego: USA (February 2016) [GitHub][HAL]

2015

  • Non Destructive Testing based on a Scanning-From-Heating approach: Application to non-through Defect Detection and Fiber Orientation Assessment

    M. Belkacemi, C. Stolz, A. Mathieu, G. Lemaitre, J. Massich, and O. Aubreton
    Journal of Electronic Imaging, vol. 24(6), pp 1-8, Nov/Dec 2015 [link][GitHub][HAL]
  • Computer-Aided Detection and Diagnosis for prostate cancer based on mono and multi-parametric MRI: A Review

    G. Lemaitre, R. Marti, J. Freixenet, J. C. Vilanova, P. M. Walker, and F. Meriaudeau
    Computer in Biology and Medicine, vol. 60, pp 8 - 31, May 2015 [link][GitHub][HAL]
  • Real-Time Optical Flow with Theoretically Justified Warping Applied to Medical Imaging

    A. Meyer-Baese, J. Massich, G. Lemaitre, and M. Rastgoo Breast Image Analysis Workshop (BIA), Medical Image Computing and Computer Assisted Interventions (MICCAI) 2015. Munich: Germany (October 2015) [GitHub][HAL]
  • Classification of SD-OCT volumes with LBP: Application to DME detection

    G. Lemaitre, M. Rastgoo, J. Massich, S. Sankar, F. Meriaudeau, and D. Sidibe Ophthalmic Medical Image Analysis Workshop (OMIA), Medical Image Computing and Computer Assisted Interventions (MICCAI) 2015. Munich: Germany (October 2015) [GitHub][HAL]
  • Brest Ultra-Sound image Segmentation: an Optimization approach based on super-pixels and high-level descriptors

    J. Massich, G. Lemaitre, J. Marti, and F. Meriaudeau International Conference on Quality Control and Artificial Vision (QCAV) 2015. Le Creusot: France (June 2015) [GitHub][HAL]
  • A Boosting Approach for Prostate Cancer Detection using Multi-parametric MRI

    G. Lemaitre, J. Massich, R. Marti, J. Freixenet, J. C. Vilanova, P. M. Walker, D. Sidibe, and F. Meriaudeau International Conference on Quality Control and Artificial Vision (QCAV) 2015. Le Creusot: France (June 2015) [PDF][HAL][presentation]
  • Business Model Design for University Technology Valorisation

    G. Lemaitre, A. Bikfalvi, J. Llach, J. Massich, and F. Julian International Technology, Education and Development Conference (INTED) 2015. Madrid: Spain (March 2015) [PDF]

2014

  • Valorisation of Computorised Technology in the Health Care Sector

    G. Lemaitre, A. Bikfalvi, and J. Llach Thesis for Master in Science Business Innovation and Technology Management (BITM), 2014 [manuscript][presentation]

2012

  • Pruning AdaBoost for Continuous Sensors Mining Applications

    M. Rastgoo, G. Lemaitre, X. Rafael, F. Miralles, and P. Casale Ubiquitous Data Mining Workshop, 20th European Conference in Artificial Intelligence 2012. Montpellier: France (August 2012) [PDF][poster]
  • Real-Time 2D Face Detection and Features-based Tracking in Video

    G. Lemaitre, E. Vargiu, J.A. Lorenzo Fernández, and F. Miralles IADIS Multi Conference in Computer Science in Computer Graphics, Visualization, Computer Vision and Image Processing 2012. Lisbon: Portugal (July 2012) [PDF]

2011

  • Absolute Quantification in 1H MRSI of the Prostate at 3T

    G. Lemaitre and P.M. Walker Thesis for Master in Science Vision and roBOTic (ViBOT), 2011 [manuscript][presentation]

2008

  • Nessie III Autonomous Underwater Vehicle for SAUC-E 2008

    J. Cartwright, N. Johnson, B. Davis, Z. Qiang, T.L. Bravo, A. Enoch, G. Lemaitre, H. Roth, and Y. Petillot The Unmanned Underwater Vehicle Showcase (UUVS). 2008 [PDF]

Thesis

  • Computer-aided diagnosis for prostate cancer using multi-parametric magnetic resonance imaging

    G. Lemaitre, J. Freixenet, P.M. Walker, F. Meriaudeau, and R. Marti PhD at Universitat de Girona-ViCOROB and Universite de Bourgogne-LE2I, 2016 [GitHub][presentation]
  • Valorisation of Computorised Technology in the Health Care Sector

    G. Lemaitre, A. Bikfalvi, and J. Llach Master in Science Business Innovation and Technology Management (BITM), 2014 [manuscript][presentation]
  • Absolute Quantification in 1H MRSI of the Prostate at 3T

    G. Lemaitre and P.M. Walker Master in Science Vision and roBOTic (ViBOT), 2011 [manuscript][presentation]

© 2017 Guillaume Lemaitre