Hi! Welcome to my personal website!

I am Clément, I am a postdoc researcher in bioimage analysis.

Publications

Journal articles:

  1. Sketchpose: learning to segment cells with partial annotations
    Cazorla C., Munier N., Morin R., Weiss P.
    HAL (2023)
  2. Svetlana a Supervised Segmentation Classifier for Napari
    Cazorla C., Morin R., Weiss P.
    Scientific Reports (2024)
  3. SegSRGAN: Super-resolution and segmentation using generative adversarial networks — Application to neonatal brain MRI
    Delannoy Q., Pham C., Cazorla C., Tor-Díez C., Dollé G., Meunier H., Bednarek N., Fablet R., Passat N., Rousseau F.
    Computers in Biology and Medicine, Volume 120 (2020)
  4. Watervoxels
    Cettour-Janet P., Cazorla C. , Machairas V., Delannoy Q., Bednarek N., Rousseau F., Decencière E., Passat N.
    IPOL Journal · Image Processing On Line (2019)

Conference article:

  1. SVETLANA: UN CLASSIFIEUR DE SEGMENTATION POUR NAPARI
    Cazorla C., Morin R., Weiss P.
    Colloque GRETSI, Nancy (2022)

YouTube content

YouTube tutorial of my Napari plugin called Svetlana.

About Me

I obtained my engineering degree from ENSEEIHT (Toulouse) in electronics and signal processing in 2017, then I worked as an image processing engineer in the space industry (CNES, CS), and finally as a research engineer on MRI imaging at the university of Reims.

I did my PhD thesis in Toulouse (France), supervised by Pierre Weiss (CNRS), where I shared my time between the CBI (Centre de Biologie Intégrative) of Toulouse, and Imactiv-3D company. My PhD work were mainly oriented towards the exploration of minimalist convolutional neural networks for segmentation and classification tasks using a small amount of annotations for microscopy images. With this in mind, I developed and keep maintaining two Napari plugin:

  1. Svetlana, which is dedicated to classifying segmentation masks by quickly annotating a small amount of ROI (see 3D result in the video below).

  2. Sketchpose, which is dedicated to segmenting cells and bacteria by quickly training an Omnipose-based CNN using sparse annotations.

Svetlana classification of mesoderm and neural tube cells in a quail embryo 3D image acquired by a confocal microscope. Image provided by Bertrand Benazeraf (CNRS, CBI Toulouse).

Contact

  • Contact

    If you wish to get in touch, please send me an email at: clement.cazorla31@gmail.com

  • Address

    Center for Integrative Biology
    169 rue Marianne Grunberg-Manago
    31400 Toulouse
    France