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Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

IEEE transactions on medical imaging, 2016-05, Vol.35 (5), p.1285-1298

2016

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Automatic Lymph Node Cluster Segmentation Using Holistically-Nested Neural Networks and Structured Optimization in CT Images

Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016, Vol.9901, p.388-397

2016

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DeepPap: Deep Convolutional Networks for Cervical Cell Classification

IEEE journal of biomedical and health informatics, 2017-11, Vol.21 (6), p.1633-1643

2017

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Deep Learning for Fully Automated Prediction of Overall Survival in Patients with Oropharyngeal Cancer Using FDG-PET Imaging

Clinical cancer research, 2021-07, Vol.27 (14), p.3948-3959

2021

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Deep Learning for Fully Automated Prediction of Overall Survival in Patients Undergoing Resection for Pancreatic Cancer: A Retrospective Multicenter Study

Annals of surgery, 2023-07, Vol.278 (1), p.e68-e79

2023

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3D Graph Anatomy Geometry-Integrated Network for Pancreatic Mass Segmentation, Diagnosis, and Quantitative Patient Management

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, p.13738-13747

2021

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Segmentation label propagation using deep convolutional neural networks and dense conditional random field

2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 2016, p.1265-1268

2016

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Adolescent research participants' descriptions of medical research

AJOB empirical bioethics, 2016-01, Vol.7 (1), p.1-7

2016

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Three Aspects on Using Convolutional Neural Networks for Computer-Aided Detection in Medical Imaging

Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017, p.113-136

2017

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Unsupervised Joint Mining of Deep Features and Image Labels for Large-Scale Radiology Image Categorization and Scene Recognition

2017 IEEE Winter Conference on Applications of Computer Vision (WACV), 2017, p.998-1007

2017

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Accurate 3D bone segmentation in challenging CT images: Bottom-up parsing and contextualized optimization

2016 IEEE Winter Conference on Applications of Computer Vision (WACV), 2016, p.1-10

2016

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Deep Learning for Fully Automated Prediction of Overall Survival in Patients Undergoing Resection for Pancreatic Cancer

SSRN Electronic Journal

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Dictionnaire de l’humain

2018

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Économie sociale et solidaire et État. A la recherche d’un partenariat pour l’action

Barbier, Jean-Claude

2017

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Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

Automatic Lymph Node Cluster Segmentation Using Holistically-Nested Neural Networks and Structured Optimization in CT Images

DeepPap: Deep Convolutional Networks for Cervical Cell Classification

Deep Learning for Fully Automated Prediction of Overall Survival in Patients with Oropharyngeal Cancer Using FDG-PET Imaging

Deep Learning for Fully Automated Prediction of Overall Survival in Patients Undergoing Resection for Pancreatic Cancer: A Retrospective Multicenter Study

3D Graph Anatomy Geometry-Integrated Network for Pancreatic Mass Segmentation, Diagnosis, and Quantitative Patient Management

Segmentation label propagation using deep convolutional neural networks and dense conditional random field

Adolescent research participants' descriptions of medical research

Three Aspects on Using Convolutional Neural Networks for Computer-Aided Detection in Medical Imaging

Unsupervised Joint Mining of Deep Features and Image Labels for Large-Scale Radiology Image Categorization and Scene Recognition

Accurate 3D bone segmentation in challenging CT images: Bottom-up parsing and contextualized optimization

Deep Learning for Fully Automated Prediction of Overall Survival in Patients Undergoing Resection for Pancreatic Cancer

Dictionnaire de l’humain

Économie sociale et solidaire et État. A la recherche d’un partenariat pour l’action

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