Carole Lartizien

Lyon, 69621, France

Last Updated: 09/26/2026

Save publications for later

Sign Up

Not sure about your diagnosis?

Check Your Symptoms

Found 18 publications

GAN-based synthetic FDG PET images from T1 brain MRI can serve to improve performance of deep unsupervised anomaly detection models.

GAN-based synthetic FDG PET images from T1 brain MRI can serve to improve performance of deep unsupervised anomaly detection models.

Journal: Computer methods and programs in biomedicine

Published: August 26, 2024

Federated brain tumor segmentation: An extensive benchmark.

Federated brain tumor segmentation: An extensive benchmark.

Journal: Medical image analysis

Published: October 05, 2023

Deep-learning predicted PET can be subtracted from the true clinical fluorodeoxyglucose PET co-registered to MRI to identify the epileptogenic zone in focal epilepsy.

Deep-learning predicted PET can be subtracted from the true clinical fluorodeoxyglucose PET co-registered to MRI to identify the epileptogenic zone in focal epilepsy.

Journal: Epilepsia open

Published: February 27, 2023

PET image enhancement using artificial intelligence for better characterization of epilepsy lesions.

PET image enhancement using artificial intelligence for better characterization of epilepsy lesions.

Journal: Frontiers in medicine

Published: September 12, 2022

Detection of ISUP ≥2 prostate cancers using multiparametric MRI: prospective multicentre assessment of the non-inferiority of an artificial intelligence system as compared to the PI-RADS V.2.1 score (CHANGE study).

Detection of ISUP ≥2 prostate cancers using multiparametric MRI: prospective multicentre assessment of the non-inferiority of an artificial intelligence system as compared to the PI-RADS V.2.1 score (CHANGE study).

Journal: BMJ open

Published: February 10, 2022

ProstAttention-Net: A deep attention model for prostate cancer segmentation by aggressiveness in MRI scans.

ProstAttention-Net: A deep attention model for prostate cancer segmentation by aggressiveness in MRI scans.

Journal: Medical image analysis

Published: April 23, 2021

LU-Net: A Multistage Attention Network to Improve the Robustness of Segmentation of Left Ventricular Structures in 2-D Echocardiography.

LU-Net: A Multistage Attention Network to Improve the Robustness of Segmentation of Left Ventricular Structures in 2-D Echocardiography.

Journal: IEEE transactions on ultrasonics, ferroelectrics, and frequency control

Published: August 04, 2020

Deep Learning for Segmentation Using an Open Large-Scale Dataset in 2D Echocardiography.

Deep Learning for Segmentation Using an Open Large-Scale Dataset in 2D Echocardiography.

Journal: IEEE transactions on medical imaging

Published: February 26, 2019

Regularized siamese neural network for unsupervised outlier detection on brain multiparametric magnetic resonance imaging: Application to epilepsy lesion screening.

Regularized siamese neural network for unsupervised outlier detection on brain multiparametric magnetic resonance imaging: Application to epilepsy lesion screening.

Journal: Medical image analysis

Published: November 14, 2018

Detection of Lesions Underlying Intractable Epilepsy on T1-Weighted MRI as an Outlier Detection Problem.

Detection of Lesions Underlying Intractable Epilepsy on T1-Weighted MRI as an Outlier Detection Problem.

Journal: PloS one

Published: March 23, 2016

Prostate focal peripheral zone lesions: characterization at multiparametric MR imaging--influence of a computer-aided diagnosis system.

Prostate focal peripheral zone lesions: characterization at multiparametric MR imaging--influence of a computer-aided diagnosis system.

Journal: Radiology

Published: March 06, 2014

Kernel-based learning from both qualitative and quantitative labels: application to prostate cancer diagnosis based on multiparametric MR imaging.

Kernel-based learning from both qualitative and quantitative labels: application to prostate cancer diagnosis based on multiparametric MR imaging.

Journal: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

Published: January 28, 2014

Showing 1-12 of 18

Last Updated: 09/26/2026