About
Nicolas ROUGON is an Associate Professor at Telecom SudParis, affiliated with the SAMOVAR laboratory and the ARMEDIA team. His research focuses on medical imaging and computational methods, particularly in MRI, image registration, and cardiovascular analysis. He has contributed to non-rigid registration techniques for myocardial contraction quantification and developed information-theoretic approaches for segmentation and alignment.
His work spans cardiovascular imaging (myocardial perfusion, deformation analysis), multimodal image fusion (PET/MRI), and mathematical foundations of medical image processing. Notable applications include lesion segmentation in neurological disorders and dynamic statistical modeling of cardiac motion.
Publications emphasize clinical translation of algorithms, with applications in cardiology and oncology. No awards are explicitly mentioned but his work has been presented globally at conferences like MICCAI, SPIE, and ISBI. Active since 1998, his research bridges signal processing theory and practical medical diagnostics.
