Riccardo de Feo

12 papers Journal 9Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	pyOpenNFT: An Open-Source Python Framework for ML-Based Real-Time fMRI and EEG-fMRI Neurofeedback. MICCAI (12) Ekaterina Antipushina, Nikita Davydov, Riccardo de Feo, Evgeny Prilepin, Artem V. Nikonorov, Yury Koush
2023	J	`jnl`	Automatic Cerebral Hemisphere Segmentation in Rat MRI with Ischemic Lesions via Attention-based Convolutional Neural Networks. Neuroinformatics Juan Miguel Valverde, Artem Shatillo, Riccardo de Feo, Jussi Tohka
2023	J	`jnl`	Convolutional Neural Networks for Automatic Detection of Intact Adenovirus from TEM Imaging with Debris, Broken and Artefacts Particles. CoRR Olivier Rukundo, Andrea Behanova, Riccardo de Feo, Seppo Ronkko, Joni Oja, Jussi Tohka
2023	—	`—`	Convolutional neural networks for the segmentation of small rodent brain MRI. Riccardo de Feo
2021	J	`jnl`	Automated joint skull-stripping and segmentation with Multi-Task U-Net in large mouse brain MRI databases. NeuroImage Riccardo de Feo, Artem Shatillo, Alejandra Sierra, Juan Miguel Valverde, Olli Gröhn, Federico Giove, Jussi Tohka
2021	J	`jnl`	Automatic hemisphere segmentation in rodent MRI with lesions. CoRR Juan Miguel Valverde, Artem Shatillo, Riccardo de Feo, Jussi Tohka
2021	J	`jnl`	Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge. NeuroImage 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
2021	J	`jnl`	Transfer Learning in Magnetic Resonance Brain Imaging: A Systematic Review. J. Imaging Juan Miguel Valverde, Vandad Imani, Ali Abdollahzadeh, Riccardo de Feo, Mithilesh Prakash, Robert Ciszek, Jussi Tohka
2021	J	`jnl`	Transfer Learning in Magnetic Resonance Brain Imaging: a Systematic Review. CoRR Juan Miguel Valverde, Vandad Imani, Ali Abdollahzadeh, Riccardo de Feo, Mithilesh Prakash, Robert Ciszek, Jussi Tohka
2020	J	`jnl`	RatLesNetv2: A Fully Convolutional Network for Rodent Brain Lesion Segmentation. CoRR Juan Miguel Valverde, Artem Shatillo, Riccardo de Feo, Olli Gröhn, Alejandra Sierra, Jussi Tohka
2019	—	`conf`	Automatic Rodent Brain MRI Lesion Segmentation with Fully Convolutional Networks. MLMI@MICCAI Juan Miguel Valverde, Artem Shatillo, Riccardo de Feo, Olli Gröhn, Alejandra Sierra, Jussi Tohka
2019	J	`jnl`	Automatic Rodent Brain MRI Lesion Segmentation with Fully Convolutional Networks. CoRR Juan Miguel Valverde, Artem Shatillo, Riccardo de Feo, Olli Gröhn, Alejandra Sierra, Jussi Tohka