Nicolas Normand
Université de Nantes
H-index: 19
Europe-France
Top articles of Nicolas Normand
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Influence of training and expertise on deep neural network attention and human attention during a medical image classification task | Journal of Vision | Rémi Vallée Tristan Gomez Arnaud Bourreille Nicolas Normand Harold Mouchère | 2024/4/1 |
Deep Learning Based Blood Abnormalities Detection As a Tool for Vexas Syndrome Screening | Blood | Cedric De Almeida Braga Maxence Bauvais Pierre Sujobert Mael Heiblig Maxime Jullien | 2023/12/1 |
A time-lapse embryo dataset for morphokinetic parameter prediction | Data in Brief | Tristan Gomez Magalie Feyeux Justine Boulant Nicolas Normand Laurent David | 2022/6/1 |
Applications of artificial intelligence and machine learning for the hip and knee surgeon: current state and implications for the future | Tauben Averbuch Kristen Sullivan Andrew Sauer Mamas A Mamas Adriaan A Voors | 2022/6/22 | |
Artificial Intelligence Using Multimodal Data for Myelodysplastic Syndrome Screening | Blood | Cedric De almeida Braga Maxence Bauvais Maxence Dominici Alice Garnier Pierre Peterlin | 2022/11/15 |
Towards deep learning-powered IVF: A large public benchmark for morphokinetic parameter prediction | arXiv preprint arXiv:2203.00531 | Tristan Gomez Magalie Feyeux Nicolas Normand Laurent David Perrine Paul-Gilloteaux | 2022/3/1 |
Vexas syndrome: a complex necessarily integrated diagnosis that can benefit from the help of deep learning | Blood | Cedric De almeida Braga Camille Richard Baptiste Le Calvez Patrice Chevallier Simon Bouzy | 2022/11/15 |
Influence of inputs for bone lesion segmentation in longitudinal 18F-FDG PET/CT imaging studies | Noémie Moreau Caroline Rousseau Constance Fourcade Gianmarco Santini Ludovic Ferrer | 2022/7/11 | |
Influence of expertise on human and machine visual attention in a medical image classification task | Rémi Vallée Antoine Coutrot Nicolas Normand Harold Mouchère | 2021/8/22 | |
Multi-expert annotation of Crohn’s disease images of the small bowel for automatic detection using a convolutional recurrent attention neural network | Endoscopy International Open | Astrid de Maissin Remi Vallée Mathurin Flamant Marie Fondain-Bossiere Catherine Le Berre | 2021/7 |
Static and Dynamic 3D Point Cloud Compression by TSPLVQ | Amira Filali Vincent Ricordel Nicolas Normand | 2021/6/2 | |
Comparison between threshold-based and deep learning-based bone segmentation on whole-body CT images | Noémie Moreau Caroline Rousseau Constance Fourcade Gianmarco Santini Ludovic Ferrer | 2021/2/15 | |
Automatic Segmentation of Metastatic Breast Cancer Lesions on 18F-FDG PET/CT Longitudinal Acquisitions for Treatment Response Assessment | Cancers | Noémie Moreau Caroline Rousseau Constance Fourcade Gianmarco Santini Aislinn Brennan | 2021/12/26 |
Integrated 3D-Capacitors for Implantable Bradycardia Pacemakers: Dielectric Integrity and Local Electrical Characterizations using AFM. | Rosine Coq Germanicus Florent Lallemand Nicolas Normand Catherine Bunel Ulrike Lüders | 2021/2/11 | |
TOWARDS ACCURATE RATE ESTIMATION FOR 3D POINT CLOUD COMPRESSION BY TSPLVQ | Amira Filali Vincent Ricordel Nicolas Normand | 2021/11/3 | |
Deep learning approaches for bone and bone lesion segmentation on 18FDG PET/CT imaging in the context of metastatic breast cancer* | Noémie Moreau Caroline Rousseau Constance Fourcade Gianmarco Santini Ludovic Ferrer | 2020/7/20 | |
Method and apparatus for reconstructing a data block | 2020/5/5 | ||
CrohnIPI: An endoscopic image database for the evaluation of automatic Crohn's disease lesions recognition algorithms | Rémi Vallée Astrid De Maissin Antoine Coutrot Harold Mouchère Arnaud Bourreille | 2020/2/28 | |
Comparison between traditional and deep learning-based semi-automatic segmentation methods for metastatic breast cancer lesions monitoring | Noémie Moreau Caroline Rousseau Ludovic Ferrer Mario Campone Mathilde Colombié | 2020/2/13 |
