Single- and multimodal subvoxel registration of dissimilar medical images using robust similarity measures. - Christophoros Nikou; Fabrice Heitz; Jean-Paul Armspach; Izzie-Jacques Namer (Image Processing, 1998)

Analysis of Brain Functional MRI Time Series Based on Continuous Wavelet Transform and Stimulation-Response Coupling Distance. - Laurent Thoraval; Jean-Paul Armspach; Izzie Namer (MICCAI, 2001)

Automatic change detection in multimodal serial MRI: application to multiple sclerosis lesion evolution. - Marcel Bosc; Fabrice Heitz; Jean-Paul Armspach; Izzie Namer; Daniel Gounot; Lucien Rumbach (NeuroImage, 2003)

On the modeling, construction, and evaluation of a probabilistic atlas of brain perfusion. - Torbjørn Vik; Fabrice Heitz; Izzie Namer; Jean-Paul Armspach (NeuroImage, 2005)

Functional magnetic resonance imaging characterization of CCK-4-induced panic attack and subsequent anticipatory anxiety. - Thérèse Schunck; Gilles Erb; Alexandre M. Bayen; Christian G. Claudel; Izzie-Jacques Namer; Yann Hodé; Agnès Demaziere; Rémy Luthringer; Jean-Paul Macher (NeuroImage, 2006)

Anomaly Detection in Single Subject vs Group Using Manifold Learning. - Florian Tilquin; Sylvain Faisan; Fabrice Heitz; Vincent Noblet; Frédéric Blanc 002; Izzie Namer (ICASSP, 2019)

Machine learning assisted intraoperative assessment of brain tumor margins using HRMAS NMR spectroscopy. - Doruk Cakmakci; Emin Onur Karakaslar; Elisa Ruhland; Marie-Pierre Chenard; Francois Proust; Martial Piotto; Izzie-Jacques Namer; A. Ercüment Çiçek (PLoS Comput. Biol., 2020)

Predicting Carbon Spectrum in Heteronuclear Single Quantum Coherence Spectroscopy for Online Feedback During Surgery. - Emin Onur Karakaslar; Baris Coskun; Hassiba Outilaft; Izzie-Jacques Namer; A. Ercüment Çiçek (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Targeted metabolomics analyses for brain tumor margin assessment during surgery. - Doruk Cakmakci; Gun Kaynar; Caroline Bund; Martial Piotto; Francois Proust; Izzie-Jacques Namer; A. Ercüment Çiçek (Bioinform., 2022)

PiDeeL: metabolic pathway-informed deep learning model for survival analysis and pathological classification of gliomas. - Gun Kaynar; Doruk Cakmakci; Caroline Bund; Julien Todeschi; Izzie-Jacques Namer; A. Ercüment Çiçek (Bioinform., 2023)