Improved assessment of multiple sclerosis lesion segmentation agreement via detection and outline error estimates. - David S. Wack; Michael G. Dwyer; Niels Bergsland; Carol Di Perri; Laura Ranza; Sara Hussein; Deepa Ramasamy; Guy U. Poloni; Robert Zivadinov (BMC Medical Imaging, 2012)

Abnormal subcortical deep-gray matter susceptibility-weighted imaging filtered phase measurements in patients with multiple sclerosis: A case-control study. - Robert Zivadinov; Mari Heininen-Brown; Claudiu V. Schirda; Guy U. Poloni; Niels Bergsland; Christopher R. Magnano; Jacqueline Durfee; Cheryl Kennedy; Ellen Carl; Jesper Hagemeier; Ralph H. B. Benedict; Bianca Weinstock-Guttman; et al. (NeuroImage, 2012)

Improved operator agreement and efficiency using the minimum area contour change method for delineation of hyperintense multiple sclerosis lesions on FLAIR MRI. - David S. Wack; Michael G. Dwyer; Niels Bergsland; Deepa Ramasamy; Carol Di Perri; Laura Ranza; Sara Hussein; Christopher R. Magnano; Kevin Seals; Robert Zivadinov (BMC Medical Imaging, 2013)

Surface-based reconstruction and diffusion MRI in the assessment of gray and white matter damage in multiple sclerosis. - Matteo Caffini; Niels Bergsland; Marcella Laganà; Eleonora Tavazzi; Paola Tortorella; Marco Rovaris; Giuseppe Baselli (Image Processing, 2014)

Improved longitudinal gray and white matter atrophy assessment via application of a 4-dimensional hidden Markov random field model. - Michael G. Dwyer; Niels Bergsland; Robert Zivadinov (NeuroImage, 2014)

A semi-automated measuring system of brain diffusion and perfusion magnetic resonance imaging abnormalities in patients with multiple sclerosis based on the integration of coregistration and tissue segmentation procedures. - Alfredo Revenaz; Massimiliano Ruggeri; Maria Marcella Laganà; Niels Bergsland; Elisabetta Groppo; Marco Rovaris; Enrico Fainardi (BMC Medical Imaging, 2016)

Advanced MRI techniques in multiple sclerosis: multimodal assessment of WM and GM damage mechanisms. - Niels Bergsland (2016)

Mapping of thalamic magnetic susceptibility in multiple sclerosis indicates decreasing iron with disease duration: A proposed mechanistic relationship between inflammation and oligodendrocyte vitality. - Ferdinand Schweser; Ana Luiza Raffaini Duarte Martins; Jesper Hagemeier; Fuchun Lin; Jannis Hanspach; Bianca Weinstock-Guttman; Simon Hametner; Niels Bergsland; Michael G. Dwyer; Robert Zivadinov (NeuroImage, 2018)

Assessment of mesoscopic properties of deep gray matter iron through a model-based simultaneous analysis of magnetic susceptibility and R2* - A pilot study in patients with multiple sclerosis and normal controls. - Yanis Taege; Jesper Hagemeier; Niels Bergsland; Michael G. Dwyer; Bianca Weinstock-Guttman; Robert Zivadinov; Ferdinand Schweser (NeuroImage, 2019)

Semi-automatic detection of increased susceptibility in multiple sclerosis white matter lesions imaged with 1.5T MRI. - Laura Pelizzari; Niels Bergsland; David Utriainen; Stefano Viotti; Francesca Baglio; L. Mendozzi; Pietro Cecconi; E. Mark Haacke; Paolo Zamboni; Maria Marcella Laganà (Biomed. Signal Process. Control., 2020)

Susceptibility networks reveal independent patterns of brain iron abnormalities in multiple sclerosis. - Jack A. Reeves; Niels Bergsland; Michael G. Dwyer; Gregory E. Wilding; Dejan Jakimovski; Fahad Salman; Bálint Süle; Nicklas Meineke; Bianca Weinstock-Guttman; Robert Zivadinov; Ferdinand Schweser (NeuroImage, 2022)

Optimal echo times for quantitative susceptibility mapping: A test-retest study on basal ganglia and subcortical brain nuclei. - Valentina Bordin; Alice Pirastru; Niels Bergsland; Marta Cazzoli; Giuseppe Baselli; Francesca Baglio (NeuroImage, 2023)

Myo-regressor Deep Informed Neural NetwOrk (Myo-DINO) for fast MR parameters mapping in neuromuscular disorders. - Leonardo Barzaghi; Francesca Brero; Raffaella Fiamma Cabini; Matteo Paoletti; Mauro Monforte; Francesca Lizzi; Francesco Santini 002; Xeni Deligianni; Niels Bergsland; Sabrina Ravaglia; Lorenzo Cavagna; Luca Diamanti; et al. (Comput. Methods Programs Biomed., 2024)

An Automated Tool to Classify and Transform Unstructured MRI Data into BIDS Datasets. - Alexander Bartnik; Sujal Singh; Conan Sum; Mackenzie T. Smith; Niels Bergsland; Robert Zivadinov; Michael G. Dwyer (Neuroinformatics, 2024)