Publication in IEEE Transactions on Medical Imaging of Segmentation of Nuclei in Histopathology Images by deep regression of the distance map.
The paper ‘Segmentation of Nuclei in Histopathology Images by deep regression of the distance map’ by Peter Naylor, Thomas Walter, Fabien Reyal and Marick Laé has been published in IEEE transactions on medical imaging, 2018.
You can find all the desired information on the main organizers git hub page: Chloe-Agathe Azencott. Practical session of 4 days given to M2 students in Mines-paristech.
You can find all the desired information on the lecturer git hub page: Chloe-Agathe Azencott. I gave a 1h30 research talk with Joseph Boyd. This course was given in Central Supelec. The material related to the research talk for my part can be found here.
Publication in ISBI 2017 Nuclei Segmentation in Histopathology Images Using Deep Neural Networks.
At the ISBI 2017 held in Melbourne, Australia I presented our conference paper Nuclei Segmentation in Histopathology Images Using Deep Neural Networks. The slides for the talk can be found here and paper.
You can find all the desired information on my colleagues web pages: Benoit Playe Course given at Centrale Supelec for M2 students.
Teacher assistant in C++ in ENSAE for M1 students under Mathieu Durut. 2hours a week for a semester. No material available.
Statistic course given at University Paris-Sorbonne, Paris 4, to L2 sociology students. 40h of practical sessions. No material available.
