Carole Frindel

Transfer Learning from Synthetic Data Applied to Soil–Root Segmentation in X-Ray Tomography Images

D Clément, Richard Schielein, Carole Frindel et al. · Journal of Imaging · 2018 · 69 citations · Full text

Computed Tomography, X-ray Tomography, Image Reconstruction +24

Deep learning based root-soil segmentation from X-ray tomography images

D Clément, Richard Schielein, Carole Frindel et al. · 2016 · 44 citations · Full text

Probabilistic Tractography to Predict the Position of Cranial Nerves Displaced by Skull Base Tumors: Value for Surgical Strategy Through a Case Series of 62 Patients

Timothée Jacquesson, François Cotton, Arnaud Attyé et al. · Neurosurgery · 2018 · 41 citations

Comparison of regularization methods for human cardiac diffusion tensor MRI

Carole Frindel, Marc C. Robini, Pierre Croisille et al. · Medical Image Analysis · 2009 · 35 citations

Engineering, Medical Imaging, Regularization (Mathematics) +13

Impact of the reperfusion status for predicting the final stroke infarct using deep learning

Noëlie Debs, Tae‐Hee Cho, David Rousseau et al. · NeuroImage Clinical · 2020 · 32 citations · Full text