156 citations · 230 across the 10 of their papers we have counts for
5 papers · 1 filter
Predicting Landsat Reflectance with Deep Generative Fusion
Shahine Bouabid, Maxim Chernetskiy, Maxime Rischard +1
Public satellite missions are commonly bound to a trade-off between spatial and temporal resolution as no single sensor provides fine-grained acquisitions with frequent coverage. T…
Exoplanet Validation with Machine Learning: 50 new validated Kepler planets
David J. Armstrong, Jevgenij Gamper, Theodoros Damoulas
Over 30% of the ~4000 known exoplanets to date have been discovered using 'validation', where the statistical likelihood of a transit arising from a false positive (FP), non-planet…
Multi-Task Learning in Histo-pathology for Widely Generalizable Model
Jevgenij Gamper, Navid Alemi Kooohbanani, Nasir Rajpoot
In this work we show preliminary results of deep multi-task learning in the area of computational pathology. We combine 11 tasks ranging from patch-wise oral cancer classification,…
PanNuke Dataset Extension, Insights and Baselines
Jevgenij Gamper, Navid Alemi Koohbanani, Ksenija Benes +6
The emerging area of computational pathology (CPath) is ripe ground for the application of deep learning (DL) methods to healthcare due to the sheer volume of raw pixel data in who…
Meta-SVDD: Probabilistic Meta-Learning for One-Class Classification in Cancer Histology Images
Jevgenij Gamper, Brandon Chan, Yee Wah Tsang +2
To train a robust deep learning model, one usually needs a balanced set of categories in the training data. The data acquired in a medical domain, however, frequently contains an a…