A Second Generation Embedded Reconfigurable Input Device for Kinetically Challenged Persons. - Kyprianos Papademetriou; Apostolos Dollas; Stamatios N. Sotiropoulos (FCCM, 2003)

Adaptation of a low cost motion recognition system for custom operation from shrink-wrapped hardware. - Stamatios N. Sotiropoulos; Kyprianos Papademetriou; Apostolos Dollas (WBMA@MM, 2003)

A 2-D motion detection model for low-cost embedded reconfigurable I/O devices. - Apostolos Dollas; Stamatios N. Sotiropoulos; Kyprianos Papademetriou (IEEE Trans. Biomed. Eng., 2005)

Low-Cost Real-Time 2-D Motion Detection Based on Reconfigurable Computing. - Kyprianos Papadimitriou; Apostolos Dollas; Stamatios N. Sotiropoulos (IEEE Trans. Instrum. Meas., 2006)

In-vivo brain anatomical connectivity using diffusion magnetic resonance imaging and fuzzy connectedness. - Stamatios N. Sotiropoulos; Christopher R. Tench; Li Bai 001 (BIBE, 2008)

Robust Graph-Based Tracking Through Crossing Fibre Configurations. - Stamatios N. Sotiropoulos; Christopher R. Tench; Paul S. Morgan; Li Bai 001 (ISBI, 2009)

Exact and analytic Bayesian inference for orientation distribution functions. - Stamatios N. Sotiropoulos; David E. Jones; Li Bai 001; Theodore Kypraios (ISBI, 2010)

Fuzzy anatomical connectedness of the brain using single and multiple fibre orientations estimated from diffusion MRI. - Stamatios N. Sotiropoulos; Li Bai 001; Christopher R. Tench (Comput. Medical Imaging Graph., 2010)

Brain tractography using Q-ball imaging and graph theory: Improved connectivities through fibre crossings via a model-based approach. - Stamatios N. Sotiropoulos; Li Bai 001; Paul Simon Morgan; Cris S. Constantinescu; Christopher R. Tench (NeuroImage, 2010)

Modelling fibre fanning in diffusion-weighted MRI. - Stamatios N. Sotiropoulos; Timothy Edward John Behrens; Saâd Jbabdi (ISBI, 2012)

Accelerating Fibre Orientation Estimation from Diffusion Weighted Magnetic Resonance Imaging Using GPUs. - Moisés Hernández; Ginés D. Guerrero; José M. Cecilia; José M. García 001; Alberto Inuggi; Stamatios N. Sotiropoulos (PDP, 2012)

Ball and rackets: Inferring fiber fanning from diffusion-weighted MRI. - Stamatios N. Sotiropoulos; Timothy Edward John Behrens; Saâd Jbabdi (NeuroImage, 2012)

The minimal preprocessing pipelines for the Human Connectome Project. - Matthew F. Glasser; Stamatios N. Sotiropoulos; J. Anthony Wilson; Timothy S. Coalson; Bruce Fischl; Jesper L. R. Andersson; Junqian Xu; Saâd Jbabdi; Matthew A. Webster; Jonathan R. Polimeni; David C. Van Essen; Mark Jenkinson (NeuroImage, 2013)

Advances in diffusion MRI acquisition and processing in the Human Connectome Project. - Stamatios N. Sotiropoulos; Saâd Jbabdi; Junqian Xu; Jesper L. R. Andersson; Steen Moeller; Edward J. Auerbach; Matthew F. Glasser; Moisés Hernández; Guillermo Sapiro; Mark Jenkinson; David A. Feinberg; Essa Yacoub; et al. (NeuroImage, 2013)

Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project. - Kâmil Ugurbil; Junqian Xu; Edward J. Auerbach; Steen Moeller; An T. Vu; Julio Martin Duarte-Carvajalino; Christophe Lenglet; Xiaoping Wu; Sebastian Schmitter; Pierre-François van de Moortele; John P. Strupp; Guillermo Sapiro; et al. (NeuroImage, 2013)

RubiX: Combining Spatial Resolutions for Bayesian Inference of Crossing Fibers in Diffusion MRI. - Stamatios N. Sotiropoulos; Saâd Jbabdi; Jesper L. R. Andersson; Mark William Woolrich; Kâmil Ugurbil; Timothy Edward John Behrens (IEEE Trans. Medical Imaging, 2013)

Sparse Bayesian Inference of White Matter Fiber Orientations from Compressed Multi-resolution Diffusion MRI. - Pramod Kumar Pisharady; Julio Martin Duarte-Carvajalino; Stamatios N. Sotiropoulos; Guillermo Sapiro; Christophe Lenglet (MICCAI (1), 2015)

Non-parametric representation and prediction of single- and multi-shell diffusion-weighted MRI data using Gaussian processes. - Jesper L. R. Andersson; Stamatios N. Sotiropoulos (NeuroImage, 2015)

Heritability of fractional anisotropy in human white matter: A comparison of Human Connectome Project and ENIGMA-DTI data. - Peter V. Kochunov; Neda Jahanshad; Daniel S. Marcus; Anderson M. Winkler; Emma Sprooten; Thomas E. Nichols; Susan N. Wright; L. Elliot Hong; Binish Patel; Timothy Behrens; Saâd Jbabdi; Jesper L. R. Andersson; et al. (NeuroImage, 2015)

High resolution whole brain diffusion imaging at 7 T for the Human Connectome Project. - An T. Vu; Edward J. Auerbach; Christophe Lenglet; Steen Moeller; Stamatios N. Sotiropoulos; Saâd Jbabdi; Jesper L. R. Andersson; Essa Yacoub; Kâmil Ugurbil (NeuroImage, 2015)

Incorporating outlier detection and replacement into a non-parametric framework for movement and distortion correction of diffusion MR images. - Jesper L. R. Andersson; Mark S. Graham; Eniko Zsoldos; Stamatios N. Sotiropoulos (NeuroImage, 2016)

An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging. - Jesper L. R. Andersson; Stamatios N. Sotiropoulos (NeuroImage, 2016)

A probabilistic atlas of the cerebellar white matter. - K. M. van Baarsen; Michiel Kleinnijenhuis; Saâd Jbabdi; Stamatios N. Sotiropoulos; J. A. Grotenhuis; Anne-Marie van Cappellen van Walsum (NeuroImage, 2016)

Fusion in diffusion MRI for improved fibre orientation estimation: An application to the 3T and 7T data of the Human Connectome Project. - Stamatios N. Sotiropoulos; Moisés Hernández-Fernández; An T. Vu; Jesper L. R. Andersson; Steen Moeller; Essa Yacoub; Christophe Lenglet; Kâmil Ugurbil; Timothy Edward John Behrens; Saâd Jbabdi (NeuroImage, 2016)

A Sparse Bayesian Learning Algorithm for White Matter Parameter Estimation from Compressed Multi-shell Diffusion MRI. - Pramod Kumar Pisharady; Stamatios N. Sotiropoulos; Guillermo Sapiro; Christophe Lenglet (MICCAI (1), 2017)

Bayesian Image Quality Transfer with CNNs: Exploring Uncertainty in dMRI Super-Resolution. - Ryutaro Tanno; Daniel E. Worrall; Aurobrata Ghosh; Enrico Kaden; Stamatios N. Sotiropoulos; Antonio Criminisi; Daniel C. Alexander (MICCAI (1), 2017)

Subthalamic deep brain stimulation sweet spots and hyperdirect cortical connectivity in Parkinson's disease. - Harith Akram; Stamatios N. Sotiropoulos; Saâd Jbabdi; Dejan Georgiev; Philipp Mahlknecht; Jonathan Hyam; Thomas Foltynie; Patricia Limousin; Enrico De Vita; Marjan Jahanshahi; Marwan I. Hariz; John Ashburner; et al. (NeuroImage, 2017)

Image quality transfer and applications in diffusion MRI. - Daniel C. Alexander; Darko Zikic; Aurobrata Ghosh; Ryutaro Tanno; Viktor Wottschel; Jiaying Zhang 001; Enrico Kaden; Tim B. Dyrby; Stamatios N. Sotiropoulos; Hui Zhang 005; Antonio Criminisi (NeuroImage, 2017)

Improved tractography using asymmetric fibre orientation distributions. - Matteo Bastiani; Michiel Cottaar; Krikor Dikranian; Aurobrata Ghosh; Hui Zhang 005; Daniel C. Alexander; Tim E. J. Behrens; Saâd Jbabdi; Stamatios N. Sotiropoulos (NeuroImage, 2017)

Evaluating fibre orientation dispersion in white matter: Comparison of diffusion MRI, histology and polarized light imaging. - Jeroen Mollink; Michiel Kleinnijenhuis; Anne-Marie van Cappellen van Walsum; Stamatios N. Sotiropoulos; Michiel Cottaar; Christopher Mirfin; Mattias P. Heinrich; Mark Jenkinson; Menuka Pallebage-Gamarallage; Olaf Ansorge; Saâd Jbabdi; Karla L. Miller (NeuroImage, 2017)

Image processing and Quality Control for the first 10, 000 brain imaging datasets from UK Biobank. - Fidel Alfaro-Almagro; Mark Jenkinson; Neal K. Bangerter; Jesper L. R. Andersson; Ludovica Griffanti; Gwenaëlle Douaud; Stamatios N. Sotiropoulos; Saâd Jbabdi; Moisés Hernández-Fernández; Emmanuel Vallée; Diego Vidaurre; Matthew A. Webster; et al. (NeuroImage, 2018)

A gyral coordinate system predictive of fibre orientations. - Michiel Cottaar; Matteo Bastiani; Charles Chen; Krikor Dikranian; David C. Van Essen; Timothy Edward John Behrens; Stamatios N. Sotiropoulos; Saâd Jbabdi (NeuroImage, 2018)

Bayesian Optimisation of Large-Scale Biophysical Networks. - Jonathan Hadida; Stamatios N. Sotiropoulos; Romesh G. Abeysuriya; Mark W. Woolrich; Saâd Jbabdi (NeuroImage, 2018)

Estimation of white matter fiber parameters from compressed multiresolution diffusion MRI using sparse Bayesian learning. - Pramod Kumar Pisharady; Stamatios N. Sotiropoulos; Julio Martin Duarte-Carvajalino; Guillermo Sapiro; Christophe Lenglet (NeuroImage, 2018)

A biophysical model of dynamic balancing of excitation and inhibition in fast oscillatory large-scale networks. - Romesh G. Abeysuriya; Jonathan Hadida; Stamatios N. Sotiropoulos; Saâd Jbabdi; Robert Becker; Benjamin A. E. Hunt; Matthew J. Brookes; Mark W. Woolrich (PLoS Comput. Biol., 2018)

Uncertainty Quantification in Deep Learning for Safer Neuroimage Enhancement. - Ryutaro Tanno; Daniel E. Worrall; Enrico Kaden; Aurobrata Ghosh; Francesco Grussu; Alberto Bizzi; Stamatios N. Sotiropoulos; Antonio Criminisi; Daniel C. Alexander (CoRR, 2019)

Automated processing pipeline for neonatal diffusion MRI in the developing Human Connectome Project. - Matteo Bastiani; Jesper L. R. Andersson; Lucilio Cordero-Grande; Maria Murgasova; Jana Hutter; Anthony N. Price; Antonios Makropoulos; Sean P. Fitzgibbon; Emer J. Hughes; Daniel Rueckert; Suresh Victor; Mary A. Rutherford; et al. (NeuroImage, 2019)

Automated quality control for within and between studies diffusion MRI data using a non-parametric framework for movement and distortion correction. - Matteo Bastiani; Michiel Cottaar; Sean P. Fitzgibbon; Sana Suri; Fidel Alfaro-Almagro; Stamatios N. Sotiropoulos; Saâd Jbabdi; Jesper L. R. Andersson (NeuroImage, 2019)

Using GPUs to accelerate computational diffusion MRI: From microstructure estimation to tractography and connectomes. - Moisés Hernández-Fernández; István Zoltan Reguly; Saâd Jbabdi; Michael B. Giles; Stephen M. Smith 001; Stamatios N. Sotiropoulos (NeuroImage, 2019)

How do spatially distinct frequency specific MEG networks emerge from one underlying structural connectome? The role of the structural eigenmodes. - Prejaas Tewarie; Romesh G. Abeysuriya; Áine Byrne; George C. O'Neill; Stamatios N. Sotiropoulos; Matthew J. Brookes; Stephen Coombes (NeuroImage, 2019)

Towards HCP-Style macaque connectomes: 24-Channel 3T multi-array coil, MRI sequences and preprocessing. - Joonas A. A. Autio; Matthew F. Glasser; Takayuki Ose; Chad J. Donahue; Matteo Bastiani; Masahiro Ohno; Yoshihiko Kawabata; Yuta Urushibata; Katsutoshi Murata; Kantaro Nishigori; Masataka Yamaguchi; Yuki Hori; et al. (NeuroImage, 2020)

Improved fibre dispersion estimation using b-tensor encoding. - Michiel Cottaar; Filip Szczepankiewicz; Matteo Bastiani; Moisés Hernández-Fernández; Stamatios N. Sotiropoulos; Markus Nilsson; Saâd Jbabdi (NeuroImage, 2020)

Non-negative data-driven mapping of structural connections with application to the neonatal brain. - Elinor Thompson; Ali Reza Mohammadi-Nejad; Emma C. Robinson; Jesper L. R. Andersson; Saâd Jbabdi; Matthew F. Glasser; Matteo Bastiani; Stamatios N. Sotiropoulos (NeuroImage, 2020)

XTRACT - Standardised protocols for automated tractography in the human and macaque brain. - Shaun Warrington; Katherine L. Bryant; Alexandre A. Khrapitchev; Jérôme Sallet; Marina Charquero-Ballester; Gwenaëlle Douaud; Saâd Jbabdi; Rogier B. Mars; Stamatios N. Sotiropoulos (NeuroImage, 2020)

Automated Detection of Candidate Subjects With Cerebral Microbleeds Using Machine Learning. - Vaanathi Sundaresan; Christoph Arthofer; Giovanna Zamboni; Robert A. Dineen; Peter M. Rothwell; Stamatios N. Sotiropoulos; Dorothee P. Auer; Daniel J. Tozer; Hugh S. Markus; Karla L. Miller; Iulius Dragonu; Nikola Sprigg; et al. (Frontiers Neuroinformatics, 2021)

Modelling white matter in gyral blades as a continuous vector field. - Michiel Cottaar; Matteo Bastiani; Nikhil Boddu; Matthew F. Glasser; Suzanne N. Haber; David C. Van Essen; Stamatios N. Sotiropoulos; Saâd Jbabdi (NeuroImage, 2021)

The Human Connectome Project: A retrospective. - Jennifer Stine Elam; Matthew F. Glasser; Michael P. Harms; Stamatios N. Sotiropoulos; Jesper L. R. Andersson; Gregory C. Burgess; Sandra W. Curtiss; Robert Oostenveld; Linda J. Larson-Prior; Jan-Mathijs Schoffelen; Michael R. Hodge; Eileen A. Cler; et al. (NeuroImage, 2021)

Uncertainty modelling in deep learning for safer neuroimage enhancement: Demonstration in diffusion MRI. - Ryutaro Tanno; Daniel E. Worrall; Enrico Kaden; Aurobrata Ghosh; Francesco Grussu; Alberto Bizzi; Stamatios N. Sotiropoulos; Antonio Criminisi; Daniel C. Alexander (NeuroImage, 2021)

QuNex - An integrative platform for reproducible neuroimaging analytics. - Jie Lisa Ji; Jure Demsar; Clara Fonteneau; Zailyn Tamayo; Lining Pan; Aleksij Kraljic; Andraz Matkovic; Nina Purg; Markus Helmer; Shaun Warrington; Anderson M. Winkler; Valerio Zerbi; et al. (Frontiers Neuroinformatics, 2023)

Automated detection of cerebral microbleeds on MR images using knowledge distillation framework. - Vaanathi Sundaresan; Christoph Arthofer; Giovanna Zamboni; Andrew G. Murchison; Robert A. Dineen; Peter M. Rothwell; Dorothee P. Auer; Chaoyue Wang; Karla L. Miller; Benjamin C. Tendler; Fidel Alfaro-Almagro; Stamatios N. Sotiropoulos; et al. (Frontiers Neuroinformatics, 2023)

Non-reversibility outperforms functional connectivity in characterisation of brain states in MEG data. - Prejaas Tewarie; Rikkert Hindriks; Yi Ming Lai; Stamatios N. Sotiropoulos; Morten L. Kringelbach; Gustavo Deco (NeuroImage, 2023)

MO-CTranS: A Unified Multi-Organ Segmentation Model Learning from Multiple Heterogeneously Labelled Datasets. - Zhendi Gong; Susan T. Francis; Eleanor Cox; Stamatios N. Sotiropoulos; Dorothee P. Auer; Guoping Qiu; Andrew P. French; Xin Chen 003 (ISBI, 2025)

Uncertainty mapping and probabilistic tractography using Simulation-based Inference in diffusion MRI: A comparison with classical Bayes. - J. P. Manzano-Patrón; Michael Deistler; Cornelius Schröder; Theodore Kypraios; Pedro J. Gonçalves; Jakob H. Macke; Stamatios N. Sotiropoulos (Medical Image Anal., 2025)