| Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning A Hering, L Hansen, TCW Mok, ACS Chung, H Siebert, S Häger, A Lange, ... IEEE Transactions on Medical Imaging, 2022 | 127 | 2022 |
| Deep learning approaches for bone and bone lesion segmentation on 18FDG PET/CT imaging in the context of metastatic breast cancer* N Moreau, C Rousseau, C Fourcade, G Santini, L Ferrer, M Lacombe, ... 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 28 | 2020 |
| Automatic Segmentation of Metastatic Breast Cancer Lesions on 18F-FDG PET/CT Longitudinal Acquisitions for Treatment Response Assessment N Moreau, C Rousseau, C Fourcade, G Santini, A Brennan, L Ferrer, ... Cancers 14 (1), 101, 2022 | 18 | 2022 |
| Unpaired PET/CT image synthesis of liver region using CycleGAN G Santini, C Fourcade, N Moreau, C Rousseau, L Ferrer, M Lacombe, ... 16th International Symposium on Medical Information Processing and Analysis …, 2020 | 8 | 2020 |
| Combining Superpixels and Deep Learning Approaches to Segment Active Organs in Metastatic Breast Cancer PET Images* C Fourcade, L Ferrer, G Santini, N Moreau, C Rousseau, M Lacombe, ... 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 8 | 2020 |
| Automatic classification and removal of structured physiological noise for resting state functional connectivity MRI analysis K Lee, HM Khoo, C Fourcade, J Gotman, C Grova Magnetic resonance imaging 58, 97-107, 2019 | 7 | 2019 |
| Deformable Image Registration with Deep Network Priors: a Study on Longitudinal PET Images C Fourcade, L Ferrer, N Moreau, G Santini, A Brennan, C Rousseau, ... arXiv preprint arXiv:2111.11873, 2021 | 5 | 2021 |
| Comparison between threshold-based and deep learning-based bone segmentation on whole-body CT images N Moreau, C Rousseau, C Fourcade, G Santini, L Ferrer, M Lacombe, ... Medical Imaging 2021: Computer-Aided Diagnosis 11597, 661-667, 2021 | 5 | 2021 |
| Using Elastix to register inhale/exhale intrasubject thorax CT: a unsupervised baseline to the task 2 of the learn2reg challenge C Fourcade, M Rubeaux, D Mateus Segmentation, Classification, and Registration of Multi-modality Medical …, 2021 | 4 | 2021 |
| Influence of inputs for bone lesion segmentation in longitudinal F-FDG PET/CT imaging studies N Moreau, C Rousseau, C Fourcade, G Santini, L Ferrer, M Lacombe, ... | 1 | 2021 |
| Segmentation automatique des métastases hépatiques en imagerie TEP/TDM basée sur l’apprentissage profond dans le cadre du cancer du sein métastatique G Santini, C Fourcade, C Rousseau, L Ferrer, M Campone, M Colombié, ... Médecine Nucléaire 44 (2), 135, 2020 | 1 | 2020 |
| Can deep learning predict the receptors' status of breast cancer's metastases on 18F-FDG PET/CT images? N Moreau, C Rousseau, C Fourcade, L Ferrer, M Lacombe, ... EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING 49 (SUPPL 1 …, 2022 | | 2022 |
| Longitudinal monitoring of metastatic breast cancer through PET image registration and segmentation based on trained and untrained networks C Fourcade École centrale de Nantes, 2022 | | 2022 |
| Suivi de l'évolution du cancer du sein métastasé via le recalage et la segmentation d'images TEP en utilisant des réseaux entraînés et non-entraînés C Fourcade Ecole centrale de Nantes, 2022 | | 2022 |
| PERCIST-like response assessment with FDG PET based on automatic segmentation of all lesions in metastatic breast cancer. C Fourcade, JS Frenel, N Moreau, G Santini, A Brennan, C Rousseau, ... Journal of Clinical Oncology 40 (16_suppl), e13057-e13057, 2022 | | 2022 |
| Quantification automatique de l’activité de fond pour le calcul du critère PERCIST (+ Running poster) G Santini, N Moreau, C Fourcade, C Rousseau, L Ferrer, M Campone, ... Médecine Nucléaire 45 (4), 213-214, 2021 | | 2021 |
| Automatic classification of benign and malignant kidney masses using radiomics. A retrospective study exploiting the KiTS19 dataset G Santini, YN Obame, C Fourcade, N Moreau, M Rubeaux Medical Imaging 2021: Image Processing 11596, 684-691, 2021 | | 2021 |
| Active Organs Segmentation in Metastatic Breast Cancer Images combining Superpixels and Deep Learning Methods C Fourcade, G Santini, L Ferrer, C Rousseau, M Colombié, M Campone, ... NTHS-Nuclear Technology for Health Symposium, 2020 | | 2020 |
| Caracterización del comportamiento mecánico de la pared del aneurisma aórtico abdominal (AAA) mediante un modelo de partículas CMA Fourcade Universitat Politècnica de València, 2018 | | 2018 |
Gianmarco SantiniHuma TherapeuticsVerified email at huma.com
