According to our database1, Romain Modzelewski authored at least 12 papers between 2010 and 2022.
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Weakly Supervised Tumor Detection in PET Using Class Response for Treatment Outcome Prediction.
J. Imaging, 2022
Correction: Brochet et al. A Quantitative Comparison between Shannon and Tsallis-Havrda-Charvat Entropies Applied to Cancer Outcome Prediction. Entropy 2022, 24, 436.
Multi-task deep learning based CT imaging analysis for COVID-19 pneumonia: Classification and segmentation.
Comput. Biol. Medicine, 2020
RADIOGAN: Deep Convolutional Conditional Generative Adversarial Network to Generate PET Images.
Proceedings of the ICBRA 2020: 7th International Conference on Bioinformatics Research and Applications, 2020
Feature selection for outcome prediction in oesophageal cancer using genetic algorithm and random forest classifier.
Comput. Medical Imaging Graph., 2017
Spotting L3 slice in CT scans using deep convolutional network and transfer learning.
Comput. Biol. Medicine, 2017
Segmentation of heterogeneous or small FDG PET positive tissue based on a 3D-locally adaptive random walk algorithm.
Comput. Medical Imaging Graph., 2014
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Brain perfusion heterogeneity measurement based on Random Walk algorithm: Choice and influence of inner parameters.
Comput. Medical Imaging Graph., 2010