Mohsen Ghafoorian


I am a deep leaning R&D engineer working on HD map generation for autonomous driving at TomTom. Prior to this, I was a Ph.D. candidate at Radboud University, the Netherlands and I worked on the applications of deep learning techniques on neuro-image analysis since Oct 2013. My Ph.D. project was in collaboration between the Machine Learning and the Diagnostic Image Analysis Groups as was under the supervision of Dr. Bram Platel, Prof. Elena Marchiori, Prof. Nico Karssemeijer and Prof. Tom Heskes.

Reseach Interests

    • Machine Learning
              • Deep Neural Networks
              • Generative Adversarial Nets
              • Reinforcement Learning
    • Autonomous Driving
    • Medical Image Analysis


Short Biography

Born in Tehran, Iran, 1987.
B.Sc. in Software Engineering at ECE Department of University of Tehran, 2005-2010.
M.Sc. in Artificial Intelligence at Computer Engineering Department of Sharif University of Technology, 2010-2012.
Ph.D. in Machine Learning for Medical Image Analysis at Radboud University, 2013-2017.




News:

• On March 8, 2018, I publically defended my Ph.D. thesis entitled: "Machine Learning for Quantification of Small Vessel Disease Imaging Biomarkers". See some images here.

• Feb. 2018: Our paper "Student Beats the Teacher: Deep Neural Networks for Lateral Ventricles Segmentation in Brain MR" is presented at SPIE Medical Imaging.

• As of July 1, 2017, I started as an R&D engineer for autonomous driving at TomTom. Learn more about our team here.

• May 2017: Our paper, "Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation" is accepted for MICCAI 2017.

• From Nov. 2016 to Apr. 2017, I had a six months research visit to the Surgical Planning Laboratory at Harvard Medical School, under the supervision of Prof. William Wells III.