Triplet Markov chain for 3D MRI brain segmentation using a probabilistic atlas. - Stéphanie Bricq; Christophe Collet 001; Jean-Paul Armspach (ISBI, 2006)

3D Brain MRI segmentation based on robust Hidden Markov Chain. - Stéphanie Bricq; Christophe Collet 001; Jean-Paul Armspach (ICASSP, 2008)

Markovian segmentation of 3D brain MRI to detect Multiple Sclerosis lesions. - Stéphanie Bricq; Christophe Collet 001; Jean-Paul Armspach (ICIP, 2008)

Lesions detection on 3D brain MRI using trimmmed likelihood estimator and probabilistic atlas. - Stéphanie Bricq; Christophe Collet 001; Jean-Paul Armspach (ISBI, 2008)

Unifying framework for multimodal brain MRI segmentation based on Hidden Markov Chains. - Stéphanie Bricq; Christophe Collet 001; Jean-Paul Armspach (Medical Image Anal., 2008)

Brain MRI segmentation and lesion detection using generalized Gaussian and Rician modeling. - Xuqiang Wu; Stéphanie Bricq; Christophe Collet 001 (Image Processing, 2011)

Study of digital blood pressure and laser Doppler flowmetry signals through a multiscale analysis. - Emmanuelle Guerreschi; Anne Humeau-Heurtier; Stéphanie Bricq; Guillaume Mahé; Georges Leftheriotis (EUSIPCO, 2012)

Assessing spatial resolution versus sensitivity from laser speckle contrast imaging: application to frequency analysis. - Stéphanie Bricq; Guillaume Mahé; David Rousseau; Anne Humeau-Heurtier; François Chapeau-Blondeau; Julio Rojas Varela; Pierre Abraham (Medical Biol. Eng. Comput., 2012)

Automatic classification of tissues using T1 and T2 relaxation times from prostate MRI: A step towards generation of PET/MR attenuation map. - Jorge Zavala Bojorquez; Stéphanie Bricq; Paul Michael Walker; Alain Lalande (ICIP, 2015)

MRI-PET Registration with Automated Algorithm in Pre-clinical Studies. - Nathanael L. Baisa; Stéphanie Bricq; Alain Lalande (CoRR, 2017)

Automatic deformable PET/MRI registration for preclinical studies based on B-splines and non-linear intensity transformation. - Stéphanie Bricq; Hiliwi Leake Kidane; Jorge Zavala Bojorquez; Alexandra Oudot; Jean-Marc Vrigneaud; François Brunotte; Paul Michael Walker; Alexandre Cochet; Alain Lalande (Medical Biol. Eng. Comput., 2018)

Automatic Myocardial Scar Segmentation from Multi-sequence Cardiac MRI Using Fully Convolutional Densenet with Inception and Squeeze-Excitation Module. - Tewodros Weldebirhan Arega; Stéphanie Bricq (MyoPS@MICCAI, 2020)

Leveraging Uncertainty Estimates to Improve Segmentation Performance in Cardiac MR. - Tewodros Weldebirhan Arega; Stéphanie Bricq; Fabrice Mériaudeau (UNSURE/PIPPI@MICCAI, 2021)

Using MRI-specific Data Augmentation to Enhance the Segmentation of Right Ventricle in Multi-disease, Multi-center and Multi-view Cardiac MRI. - Tewodros Weldebirhan Arega; François Le Grand; Stéphanie Bricq; Fabrice Mériaudeau (STACOM@MICCAI, 2021)

Microaneurysms Detection in Color Fundus Image with Feature-based Background Suppression. - Anneke Annassia Putri Siswadi; Stéphanie Bricq; Fabrice Mériaudeau (ICPR, 2022)

Using Polynomial Loss and Uncertainty Information for Robust Left Atrial and Scar Quantification and Segmentation. - Tewodros Weldebirhan Arega; Stéphanie Bricq; Fabrice Mériaudeau (LAScarQS@MICCAI, 2022)

Automatic Quality Assessment of Cardiac MR Images with Motion Artefacts Using Multi-task Learning and K-Space Motion Artefact Augmentation. - Tewodros Weldebirhan Arega; Stéphanie Bricq; Fabrice Mériaudeau (STACOM@MICCAI, 2022)

An Improved 3D Deep Learning-Based Segmentation of Left Ventricular Myocardial Diseases from Delayed-Enhancement MRI with Inclusion and Classification Prior Information U-Net (ICPIU-Net). - Khawla Brahim; Tewodros Weldebirhan Arega; Arnaud Boucher; Stéphanie Bricq; Anis Sakly; Fabrice Mériaudeau (Sensors, 2022)

Multi-label ocular abnormalities detection with semantic dictionary learning. - Anneke Annassia Putri Siswadi; Stéphanie Bricq; Fabrice Mériaudeau (Computer-Aided Diagnosis, 2023)

Using Uncertainty Information for Kidney Tumor Segmentation. - Joffrey Michaud; Tewodros Weldebirhan Arega; Stéphanie Bricq (KiTS@MICCAI, 2023)

MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images. - Lei Li 020; Fuping Wu; Sihan Wang; Xinzhe Luo; Carlos Martín-Isla; Shuwei Zhai; Jianpeng Zhang; Yanfei Liu; Zhen Zhang 057; Markus J. Ankenbrand; Haochuan Jiang; Xiaoran Zhang; et al. (Medical Image Anal., 2023)

Automatic uncertainty-based quality controlled T1 mapping and ECV analysis from native and post-contrast cardiac T1 mapping images using Bayesian vision transformer. - Tewodros Weldebirhan Arega; Stéphanie Bricq; François Le Grand; Alexis Jacquier; Alain Lalande; Fabrice Mériaudeau (Medical Image Anal., 2023)

Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge. - Carlos Martín-Isla; Víctor M. Campello; Cristian Izquierdo; Kaisar Kushibar; Carla Sendra-Balcells; Polyxeni Gkontra; Alireza Sojoudi; Mitchell J. Fulton; Tewodros Weldebirhan Arega; Kumaradevan Punithakumar; Lei Li 020; Xiaowu Sun; et al. (IEEE J. Biomed. Health Informatics, 2023)

Deep learning contour-based method for semi-automatic annotation of manufactured objects in electron microscopy images. - Isaac Wilfried Sanou; Julien Baderot; Stéphanie Bricq; Yannick Benezeth; Franck Marzani; Sergio Martinez; Johann Foucher (J. Electronic Imaging, 2024)

Multi-modality multi-label ocular abnormalities detection with transformer-based semantic dictionary learning. - Anneke Annassia Putri Siswadi; Stéphanie Bricq; Fabrice Mériaudeau (Medical Biol. Eng. Comput., 2024)

Post-hoc out-of-distribution detection for cardiac MRI segmentation. - Tewodros Weldebirhan Arega; Stéphanie Bricq; Fabrice Mériaudeau (Comput. Medical Imaging Graph., 2025)