Riccardo de Feo

According to our database, Riccardo de Feo authored at least 10 papers between 2019 and 2025.

Collaborative distances:

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

2025

pyOpenNFT: An Open-Source Python Framework for ML-Based Real-Time fMRI and EEG-fMRI Neurofeedback.

Ekaterina Antipushina, Nikita Davydov, Riccardo de Feo, Evgeny Prilepin, Artem V. Nikonorov, Yury Koush

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

2023

Automatic Cerebral Hemisphere Segmentation in Rat MRI with Ischemic Lesions via Attention-based Convolutional Neural Networks.

Juan Miguel Valverde, Artem Shatillo, Riccardo de Feo, Jussi Tohka

Neuroinformatics, January, 2023

Convolutional neural networks for the segmentation of small rodent brain MRI.

Riccardo de Feo

PhD thesis, 2023

Convolutional Neural Networks for Automatic Detection of Intact Adenovirus from TEM Imaging with Debris, Broken and Artefacts Particles.

Olivier Rukundo, Andrea Behanova, Riccardo de Feo, Seppo Ronkko, Joni Oja, Jussi Tohka

CoRR, 2023

2021

Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge.

Kimberley M. Timmins, Irene C. van der Schaaf, Edwin Bennink, Ynte M. Ruigrok, Xingle An, Michael Baumgartner, Pascal Bourdon, Riccardo de Feo, Tommaso Di Noto, Florian Dubost, Augusto Fava-Sanches, Xue Feng, Corentin Giroud, Inteneural Group, Minghui Hu, Paul F. Jaeger, Juhana Kaiponen, Michal Klimont, Yuexiang Li, Hongwei Li, Yi Lin, Timo Loehr, Jun Ma, Klaus H. Maier-Hein, Guillaume Marie, Bjoern H. Menze, Jonas Richiardi, Saifeddine Rjiba, Dhaval Shah, Suprosanna Shit, Jussi Tohka, Thierry Urruty, Urszula Walinska, Xiaoping Yang, Yunqiao Yang, Yin Yin, Birgitta K. Velthuis, Hugo J. Kuijf

NeuroImage, 2021

Automated joint skull-stripping and segmentation with Multi-Task U-Net in large mouse brain MRI databases.

Riccardo de Feo, Artem Shatillo, Alejandra Sierra, Juan Miguel Valverde, Olli Gröhn, Federico Giove, Jussi Tohka

NeuroImage, 2021

Transfer Learning in Magnetic Resonance Brain Imaging: A Systematic Review.

Juan Miguel Valverde, Vandad Imani, Ali Abdollahzadeh, Riccardo de Feo, Mithilesh Prakash, Robert Ciszek, Jussi Tohka

J. Imaging, 2021

Automatic hemisphere segmentation in rodent MRI with lesions.

Juan Miguel Valverde, Artem Shatillo, Riccardo de Feo, Jussi Tohka

CoRR, 2021

2020

RatLesNetv2: A Fully Convolutional Network for Rodent Brain Lesion Segmentation.

Juan Miguel Valverde, Artem Shatillo, Riccardo de Feo, Olli Gröhn, Alejandra Sierra, Jussi Tohka

CoRR, 2020

2019

Automatic Rodent Brain MRI Lesion Segmentation with Fully Convolutional Networks.

Juan Miguel Valverde, Artem Shatillo, Riccardo de Feo, Olli Gröhn, Alejandra Sierra, Jussi Tohka

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019