Damian Podareanu

According to our database, Damian Podareanu authored at least 17 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Improving the speed and quality of cancer segmentation using lower resolution pathology images.

Jieyi Li, Anwar Osseyran, Ruben Hekster, Stevan Rudinac, Valeriu Codreanu, Damian Podareanu

Multim. Tools Appl., January, 2024

Multimodal representations of biomedical knowledge from limited training whole slide images and reports using deep learning.

Niccolò Marini, Stefano Marchesin, Marek Wodzinski, Alessandro Caputo, Damian Podareanu, Bryan Cardenas Guevara, Svetla Boytcheva, Simona Vatrano, Filippo Fraggetta, Francesco Ciompi, Gianmaria Silvello, Henning Müller, Manfredo Atzori

Medical Image Anal., 2024

Automatic Labels are as Effective as Manual Labels in Biomedical Images Classification with Deep Learning.

Niccolò Marini, Stefano Marchesin, Lluis Borras Ferris, Simon Püttmann, Marek Wodzinski, Riccardo Fratti, Damian Podareanu, Alessandro Caputo, Svetla Boytcheva, Simona Vatrano, Filippo Fraggetta, Iris Nagtegaal, Gianmaria Silvello, Manfredo Atzori, Henning Müller

CoRR, 2024

2023

Less is not more: We need rich datasets to explore.

Laurens Versluis, Mehmet Çetin, Caspar Greeven, Kristian Laursen, Damian Podareanu, Valeriu Codreanu, Alexandru Uta, Alexandru Iosup

Future Gener. Comput. Syst., May, 2023

2022

DIANNA: Deep Insight And Neural Network Analysis.

Elena Ranguelova, Christiaan Meijer, Leon C. Oostrum, Yang Liu, Patrick Bos, Giulia Crocioni, Matthieu Laneuville, Bryan Cardenas Guevara, Rena Bakhshi, Damian Podareanu

J. Open Source Softw., December, 2022

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

Niccolò Marini, Stefano Marchesin, Sebastian Otálora, Marek Wodzinski, Alessandro Caputo, Mart van Rijthoven, Witali Aswolinskiy, John-Melle Bokhorst, Damian Podareanu, Edyta Petters, Svetla Boytcheva, Genziana Buttafuoco, Simona Vatrano, Filippo Fraggetta, Jeroen van der Laak, Maristella Agosti, Francesco Ciompi, Gianmaria Silvello, Henning Müller, Manfredo Atzori

npj Digit. Medicine, 2022

2021

Multi_Scale_Tools: A Python Library to Exploit Multi-Scale Whole Slide Images.

Niccolò Marini, Sebastian Otálora, Damian Podareanu, Mart van Rijthoven, Jeroen van der Laak, Francesco Ciompi, Henning Müller, Manfredo Atzori

Frontiers Comput. Sci., 2021

Neural Symplectic Integrator with Hamiltonian Inductive Bias for the Gravitational $N$-body Problem.

Maxwell X. Cai, Simon Portegies Zwart, Damian Podareanu

CoRR, 2021

A Holistic Analysis of Datacenter Operations: Resource Usage, Energy, and Workload Characterization - Extended Technical Report.

Laurens Versluis, Mehmet Çetin, Caspar Greeven, Kristian Laursen, Damian Podareanu, Valeriu Codreanu, Alexandru Uta, Alexandru Iosup

CoRR, 2021

2020

Beneath the SURFace: An MRI-like View into the Life of a 21st Century Datacenter.

Kristian Laursen, Alexandru Uta, Alexandru Iosup, Paul Melis, Damian Podareanu, Valeriu Codreanu

Dataset, June, 2020

Beneath the SURFace: An MRI-like View into the Life of a 21st-Century Datacenter.

Alexandru Uta, Kristian Laursen, Alexandru Iosup, Paul Melis, Damian Podareanu, Valeriu Codreanu

login Usenix Mag., 2020

Predicting atmospheric optical properties for radiative transfer computations using neural networks.

Menno A. Veerman, Robert Pincus, Robin Stoffer, Caspar van Leeuwen, Damian Podareanu, Chiel C. van Heerwaarden

CoRR, 2020

Deep-learning enhancement of large scale numerical simulations.

Caspar van Leeuwen, Damian Podareanu, Valeriu Codreanu, Maxwell X. Cai, Axel Berg, Simon Portegies Zwart, Robin Stoffer, Menno Veerman, Chiel van Heerwaarden, Sydney Otten, Sascha Caron, Cunliang Geng, Francesco Ambrosetti, Alexandre M. J. J. Bonvin

CoRR, 2020

DeepGalaxy: Deducing the Properties of Galaxy Mergers from Images Using Deep Neural Networks.

Maxwell X. Cai, Jeroen Bédorf, Vikram A. Saletore, Valeriu Codreanu, Damian Podareanu, Adel Chaibi, Penny X. Qian

Proceedings of the Fourth IEEE/ACM Workshop on Deep Learning on Supercomputers, 2020

2019

Densifying Assumed-Sparse Tensors - Improving Memory Efficiency and MPI Collective Performance During Tensor Accumulation for Parallelized Training of Neural Machine Translation Models.

Derya Cavdar, Valeriu Codreanu, Can Karakus, John A. Lockman III, Damian Podareanu, Vikram A. Saletore, Alexander Sergeev, Don D. Smith II, Victor Suthichai, Quy Ta, Srinivas Varadharajan, Lucas A. Wilson, Rengan Xu, Pei Yang

Proceedings of the High Performance Computing - 34th International Conference, 2019

2018

Distributed Training of Generative Adversarial Networks for Fast Detector Simulation.

Sofia Vallecorsa, Federico Carminati, Gulrukh Khattak, Damian Podareanu, Valeriu Codreanu, Vikram A. Saletore, Hans Pabst

Proceedings of the High Performance Computing, 2018

2017

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

CoRR, 2017