Ismaël Koné

PhD student in Machine/Deep Learning

Faculté des Sciences, Université Moulay Ismail

Biography

I am Ismaël Koné from Côte d’Ivoire, currently PhD student at Faculté des Sciences - Université Moulay Ismail in Meknès, Morocco. My research focuses on using Artificial Intelligence specifically Machine/Deep learning techniques for Medical Image Analysis. I mainly work on 3D cine-cardiac MR images for cardiac disease diagnosis like heart failure and histology images of women breast for early cancer detection.

Interests

Machine Learning
Deep Learning
Medical Imaging

Education

PhD in Medical Image Analysis using Machine Learning, in progress

Faculté des Sciences, Université Moulay Ismail
MSc in Digital Image Processing, 2013

Faculté des Sciences, Université Moulay Ismail
BSc in Mathematics and applications, 2009

Faculté des Sciences, Université Moulay Ismail

Selected Publications

Hybrid Forests for Left Ventricle Segmentation using only the first slice label

Machine learning models produce state-of-the-art results in many MRI images segmentation. However, most of these models are trained on very large datasets which come from experts manual labeling. This labeling process is very time consuming and costs experts work…

Ismaël Koné, Lahsen Boulmane

ISCV, 2018

Preprint PDF Dataset

Recent Publications

Ismaël Koné, Lahsen Boulmane. Hybrid Forests for Left Ventricle Segmentation using only the first slice label. ISCV, 2018.

Preprint PDF Dataset

Contact

ismael.from.kone at gmail dot com