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2020 – today
- 2024
[i7]Harshith Bachimanchi, Giovanni Volpe:
Diffusion Models to Enhance the Resolution of Microscopy Images: A Tutorial. CoRR abs/2409.16488 (2024)- 2023
- [j10]Jesús Pineda
, Benjamin Midtvedt, Harshith Bachimanchi, Sergio Noé, Daniel Midtvedt, Giovanni Volpe, Carlo Manzo:
Geometric deep learning reveals the spatiotemporal features of microscopic motion. Nat. Mac. Intell. 5(1): 71-82 (2023) - [i6]Harshith Bachimanchi, Matthew I. M. Pinder, Chloé Robert, Pierre De Wit, Jonathan Havenhand, Alexandra Kinnby, Daniel Midtvedt, Erik Selander, Giovanni Volpe:
Deep-learning-powered data analysis in plankton ecology. CoRR abs/2309.08500 (2023) - 2022
- [j9]Piercarlo Dondi, Marco Porta, Angelo Donvito, Giovanni Volpe:
A gaze-based interactive system to explore artwork imagery. J. Multimodal User Interfaces 16(1): 55-67 (2022) - [j8]Piercarlo Dondi, Marco Porta, Angelo Donvito, Giovanni Volpe:
Correction to: A gaze-based interactive system to explore artwork imagery. J. Multimodal User Interfaces 16(1): 69 (2022) - [j7]Yu-Wei Chang, Laura Natali, Oveis Jamialahmadi, Stefano Romeo, Joana B. Pereira, Giovanni Volpe:
Neural network training with highly incomplete medical datasets. Mach. Learn. Sci. Technol. 3(3): 35001 (2022) - [i5]Harshith Bachimanchi, Benjamin Midtvedt, Daniel Midtvedt, Erik Selander, Giovanni Volpe:
Microplankton life histories revealed by holographic microscopy and deep learning. CoRR abs/2202.09046 (2022) - [i4]Benjamin Midtvedt, Jesús Pineda, Fredrik Skärberg, Erik Olsén, Harshith Bachimanchi, Emelie Wesén, Elin K. Esbjörner, Erik Selander, Fredrik Höök, Daniel Midtvedt, Giovanni Volpe:
Single-shot self-supervised particle tracking. CoRR abs/2202.13546 (2022) - [i3]Juan S. Sierra, Jesús Pineda, Daniela Rueda, Alejandro Tello, Angelica M. Prada, Virgilio Galvis, Giovanni Volpe, María Sagrario Millán, Lenny A. Romero, Andrés G. Marrugo:
Corneal endothelium assessment in specular microscopy images with Fuchs' dystrophy via deep regression of signed distance maps. CoRR abs/2210.07102 (2022) - 2021
- [j6]Meera Srikrishna, Rolf A. Heckemann, Joana B. Pereira, Giovanni Volpe, Anna Zettergren, Silke Kern, Eric Westman, Ingmar Skoog, Michael Schöll:
Comparison of Two-Dimensional- and Three-Dimensional-Based U-Net Architectures for Brain Tissue Classification in One-Dimensional Brain CT. Frontiers Comput. Neurosci. 15: 785244 (2021) - [j5]Laura Natali, Saga Helgadottir, Onofrio M. Maragò, Giovanni Volpe:
Improving epidemic testing and containment strategies using machine learning. Mach. Learn. Sci. Technol. 2(3): 35007 (2021) - [j4]Thomas Hinault, Mite Mijalkov, Joana B. Pereira, Giovanni Volpe, A. Bakke, Susan M. Courtney:
Age-related differences in network structure and dynamic synchrony of cognitive control. NeuroImage 236: 118070 (2021) - [j3]Meera Srikrishna, Joana B. Pereira, Rolf A. Heckemann, Giovanni Volpe, Danielle van Westen, Anna Zettergren, Silke Kern, Lars-Olof Wahlund, Eric Westman, Ingmar Skoog, Michael Schöll:
Deep learning from MRI-derived labels enables automatic brain tissue classification on human brain CT. NeuroImage 244: 118606 (2021) - [i2]Yu-Wei Chang, Laura Natali, Oveis Jamialahmadi, Stefano Romeo, Joana B. Pereira, Giovanni Volpe:
Neural Network Training with Highly Incomplete Datasets. CoRR abs/2107.00429 (2021) - 2020
- [j2]Isaac C. D. Lenton, Giovanni Volpe, Alexander B. Stilgoe, Timo A. Nieminen, Halina Rubinsztein-Dunlop:
Machine learning reveals complex behaviours in optically trapped particles. Mach. Learn. Sci. Technol. 1(4): 45009 (2020) - [j1]Frank Cichos, Kristian Gustavsson, Bernhard Mehlig, Giovanni Volpe:
Machine learning for active matter. Nat. Mach. Intell. 2(2): 94-103 (2020) - [i1]Laura Natali, Saga Helgadottir, Onofrio M. Maragò, Giovanni Volpe:
Improving epidemic testing and containment strategies using machine learning. CoRR abs/2011.11717 (2020)
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