Automatic Rodent Brain MRI Lesion Segmentation with Fully Convolutional Networks. - Juan Miguel Valverde; Artem Shatillo; Riccardo de Feo; Olli Gröhn; Alejandra Sierra; Jussi Tohka (MLMI@MICCAI, 2019)

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)

Automatic hemisphere segmentation in rodent MRI with lesions. - Juan Miguel Valverde; Artem Shatillo; Riccardo de Feo; Jussi Tohka (CoRR, 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)

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)

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 001; Pascal Bourdon; Riccardo de Feo; Tommaso Di Noto; Florian Dubost; Augusto Fava-Sanches; Xue Feng 001; et al. (NeuroImage, 2021)

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)

Convolutional neural networks for the segmentation of small rodent brain MRI. - Riccardo de Feo (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, 2023)