1 code implementation • 17 Jan 2022 • Niccoló Marini, Manfredo Atzori, Sebastian Otálora, Stephane Marchand-Maillet, Henning Müller
Despite several methods that were developed, stain colour heterogeneity is still an unsolved challenge that limits the development of CNNs that can generalize on data from several medical centers.
1 code implementation • 4 Aug 2020 • Mara Graziani, Sebastian Otalora, Stephane Marchand-Maillet, Henning Muller, Vincent Andrearczyk
Here we show that our architecture, by learning end-to-end an uncertainty-based weighting combination of multi-task and adversarial losses, is encouraged to focus on pathology features such as density and pleomorphism of nuclei, e. g. variations in size and appearance, while discarding misleading features such as staining differences.
no code implementations • 27 May 2019 • Pablo Strasser, Stephane Armand, Stephane Marchand-Maillet, Alexandros Kalousis
In this paper, we propose to map any complex structure onto a generic form, called serialization, over which we can apply any sequence-based density estimator.
1 code implementation • 2 Oct 2017 • Magda Gregorova, Alexandros Kalousis, Stephane Marchand-Maillet
We present a new method for forecasting systems of multiple interrelated time series.
no code implementations • NeurIPS 2015 • Ke Sun, Jun Wang, Alexandros Kalousis, Stephane Marchand-Maillet
We give theoretical propositions to show that space-time is a more powerful representation than Euclidean space.
no code implementations • 12 May 2014 • Jun Wang, Ke Sun, Fei Sha, Stephane Marchand-Maillet, Alexandros Kalousis
This induces in the input data space a new family of distance metric with unique properties.