Damian Podareanu

Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations

Niccolò Marini, Stefano Marchesin, Sebastian Otálora et al. · npj Digital Medicine · 2022 · 63 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +22

Predicting atmospheric optical properties for radiative transfer computations using neural networks

Menno Veerman, Robert Pincus, Robin Stoffer et al. · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · 2021 · 52 citations · Full text

Scale out for large minibatch SGD: Residual network training on ImageNet-1K with improved accuracy and reduced time to train

Valeriu Codreanu, Damian Podareanu, Vikram A. Saletore · arXiv (Cornell University) · 2017 · 36 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +21

Event generation and statistical sampling for physics with deep generative models and a density information buffer

Sydney Otten, S. Caron, Wieske de Swart et al. · Nature Communications · 2021 · 33 citations · Full text

Development of a large-eddy simulation subgrid model based on artificial neural networks: a case study of turbulent channel flow

Robin Stoffer, Caspar M. van Leeuwen, Damian Podareanu et al. · Geoscientific model development · 2021 · 22 citations · Full text

Aeroacoustics, Engineering, Direct Numerical Simulation +20