Decreasing cerebellar engagement across neonatal development revealed by sparse but temporally overlapping activation patterns
Oral, FIT'NJ'26, Panama City, Panama
Talks and presentations
Deep learning for fiber distribution estimation in developing brains: model, ground-truth & domain-shift impacts
Invited talk, University Children's Hospital Zürich and University of Zürich, Virtual
Developmental thalamic functional connectivity and its potential implications for early neonatal consciousness
Oral, Infant Consciousness Conference'25, New York, USA
Deep learning methods for enhanced MRI analysis of developing human brains
Invited talk, Morocco AI Association, Online
Ground-truth effects in learning-based fiber orientation distribution estimation in neonatal brains
Oral, CDMRI'24, Marrakesh, Morocco
Cross-Age and Cross-Site Domain Shift Impacts on Deep Learning-Based White Matter Fiber Estimation in Newborn and Baby Brains
Oral, ISBI'24, Athens, Greece
Medical Image Analysis & AI: Shedding light on developing human brains
Invited talk, Math & Maroc Association, Online
Deep learning applications in fetal MRI
Invited talk, Massachusetts General Hospital and Harvard Medical School, Boston, USA
Through-plane diffusion MRI super-resolution with autoencoders: validation on outlier replacement scheme for pre-term baby brains
Power pitch, ISMRM'22, London, United Kingdom
Towards super-resolution reconstruction of fetal brain MRI
Invited talk, CIBM Breakfast & Science seminar series, Online
Quantitative evaluation of enhanced multi-plane clinical fetal diffusion MRI with a crossing-fiber phantom
Oral, CDMRI'21, Strasbourg, France, Virtual (COVID)
Deep learning for fetal brain extraction in fetal MRI
Invited talk, Workshop on Machine Learning in Radiology'19 at Lausanne University Hospital (CHUV), Lausanne, Switzerland