Search Results for author: Hadrien Bertrand

Found 5 papers, 4 papers with code

Quantifying the Value of Lateral Views in Deep Learning for Chest X-rays

1 code implementation MIDL 2019 Mohammad Hashir, Hadrien Bertrand, Joseph Paul Cohen

PadChest is a large-scale chest X-ray dataset that has almost 200 labels and multiple views available.

On the limits of cross-domain generalization in automated X-ray prediction

9 code implementations MIDL 2019 Joseph Paul Cohen, Mohammad Hashir, Rupert Brooks, Hadrien Bertrand

This large scale study focuses on quantifying what X-rays diagnostic prediction tasks generalize well across multiple different datasets.

Domain Generalization Test

Do Lateral Views Help Automated Chest X-ray Predictions?

1 code implementation17 Apr 2019 Hadrien Bertrand, Mohammad Hashir, Joseph Paul Cohen

Most convolutional neural networks in chest radiology use only the frontal posteroanterior (PA) view to make a prediction.

Classification of MRI data using Deep Learning and Gaussian Process-based Model Selection

no code implementations16 Jan 2017 Hadrien Bertrand, Matthieu Perrot, Roberto Ardon, Isabelle Bloch

Improving the model is not an easy task, due to the large number of hyper-parameters governing both the architecture and the training of the network, and to the limited understanding of their relevance.

Gaussian Processes General Classification +1

Cannot find the paper you are looking for? You can Submit a new open access paper.