Model-free characterization of brain functional networks for motor sequence learning using fMRI. - Zsigmond Tamás Kincses; Heidi Johansen-Berg; Valentina Tomassini; Rose Bosnell; Paul M. Matthews; Christian F. Beckmann (NeuroImage, 2008)

Age-related changes in grey and white matter structure throughout adulthood. - Antonio Giorgio; Luca Santelli; Valentina Tomassini; Rose Bosnell; Stephen M. Smith 001; Nicola De Stefano; Heidi Johansen-Berg (NeuroImage, 2010)

The critical regularization value: Incorporating spatial smoothness to enhance signal detection in highly noisy fMRI data. - Xian Yang 001; Lei Nie; Paul M. Matthews; Valentina Tomassini; Zhiwei Xu; Yike Guo (NER, 2015)

q-Space Novelty Detection with Variational Autoencoders. - Aleksei Vasilev; Vladimir Golkov; Ilona Lipp; Eleonora Sgarlata; Valentina Tomassini; Derek K. Jones; Daniel Cremers (CoRR, 2018)

Dual-calibrated fMRI measurement of absolute cerebral metabolic rate of oxygen consumption and effective oxygen diffusivity. - Michael A. Germuska; Hannah Louise Chandler; Rachael C. Stickland; Catherine Foster; Fabrizio Fasano; Thomas W. Okell; J. Steven Reznick; Valentina Tomassini; Kevin Murphy 001; Richard G. Wise (NeuroImage, 2019)

Deep learning-based parameter mapping for joint relaxation and diffusion tensor MR Fingerprinting. - Carolin M. Pirkl; Pedro A. Gómez; Ilona Lipp; Guido Buonincontri; Miguel Molina-Romero; Anjany Sekuboyina; Diana Waldmannstetter; Jonathan Dannenberg; Sebastian Endt; Alberto Merola; Joseph R. Whittaker; Valentina Tomassini; et al. (MIDL, 2020)

A Frequency-Domain Machine Learning Method for Dual-Calibrated fMRI Mapping of Oxygen Extraction Fraction (OEF) and Cerebral Metabolic Rate of Oxygen Consumption (CMRO2). - Michael A. Germuska; Hannah Louise Chandler; Thomas W. Okell; Fabrizio Fasano; Valentina Tomassini; Kevin Murphy 001; Richard G. Wise (Frontiers Artif. Intell., 2020)

Tractography in the presence of multiple sclerosis lesions. - Ilona Lipp; Greg D. Parker; Emma C. Tallantyre; Alex Goodall; Steluta Grama; Eleonora Patitucci; Phoebe Heveron; Valentina Tomassini; Derek K. Jones (NeuroImage, 2020)

Rotation-Equivariant Deep Learning for Diffusion MRI. - Philip Müller; Vladimir Golkov; Valentina Tomassini; Daniel Cremers (CoRR, 2021)

Corrigendum: A Frequency-Domain Machine Learning Method for Dual-Calibrated fMRI Mapping of Oxygen Extraction Fraction (OEF) and Cerebral Metabolic Rate of Oxygen Consumption (CMRO2). - Michael A. Germuska; Hannah Louise Chandler; Thomas W. Okell; Fabrizio Fasano; Valentina Tomassini; Kevin Murphy 001; Richard G. Wise (Frontiers Artif. Intell., 2021)

Breath-hold BOLD fMRI without CO2 sampling enables estimation of venous cerebral blood volume: potential use in normalization of stimulus-evoked BOLD fMRI data. - Emma Biondetti; Antonio Maria Chiarelli; Michael A. Germuska; Ilona Lipp; Alessandro Villani; Alessandra Caporale; Eleonora Patitucci; Kevin Murphy 001; Valentina Tomassini; Richard G. Wise (NeuroImage, 2024)

Explainable time-to-progression predictions in multiple sclerosis. - Robbe D'hondt; Klest Dedja; Sofie Aerts; Bart Van Wijmeersch; Tomas Kalincik; Stephen Reddel; Eva Kubala Havrdova; Alessandra Lugaresi; Bianca Weinstock-Guttman; Saloua Mrabet; Patrice Lalive; Allan G. Kermode; et al. (Comput. Methods Programs Biomed., 2025)

Personalized federated learning for predicting disability progression in multiple sclerosis using real-world routine clinical data. - Ashkan Pirmani; Edward De Brouwer; Adam Arany; Martijn Oldenhof; Antoine Passemiers; Axel Faes; Tomas Kalincik; Serkan Ozakbas; Riadh Gouider; Barbara Willekens; Dana Horáková; Eva Kubala Havrdova; et al. (npj Digit. Medicine, 2025)