Fully Automated Patch-Based Image Restoration: Application to Pathology Inpainting. - Ferran Prados; M. Jorge Cardoso; Niamh Cawley; Baris Kanber; Olga Ciccarelli; Claudia A. M. Wheeler-Kingshott; Sébastien Ourselin (BrainLes@MICCAI, 2016)

A multi-time-point modality-agnostic patch-based method for lesion filling in multiple sclerosis. - Ferran Prados; Manuel Jorge Cardoso; Baris Kanber; Olga Ciccarelli; Raju Kapoor; Claudia A. M. Wheeler-Kingshott; Sébastien Ourselin (NeuroImage, 2016)

ABCD Neurocognitive Prediction Challenge 2019: Predicting Individual Fluid Intelligence Scores from Structural MRI Using Probabilistic Segmentation and Kernel Ridge Regression. - Ágoston Mihalik; Mikael Brudfors; Maria Robu; Fabio S. Ferreira; Hongxiang Lin; Anita Rau; Tong Wu; Stefano B. Blumberg; Baris Kanber; Maira Tariq; Mar Estarellas Garcia; Cemre Zor; et al. (ABCD-NP@MICCAI, 2019)

ABCD Neurocognitive Prediction Challenge 2019: Predicting Individual Residual Fluid Intelligence Scores from Cortical Grey Matter Morphology. - Neil P. Oxtoby; Fabio S. Ferreira; Ágoston Mihalik; Tong Wu; Mikael Brudfors; Hongxiang Lin; Anita Rau; Stefano B. Blumberg; Maria Robu; Cemre Zor; Maira Tariq; Mar Estarellas Garcia; et al. (ABCD-NP@MICCAI, 2019)

High-dimensional detection of imaging response to treatment in multiple sclerosis. - Baris Kanber; Parashkev Nachev; Frederik Barkhof; Alberto Calvi; Jorge Cardoso 002; Rosa Cortese; Ferran Prados; Carole H. Sudre; Carmen Tur; Sébastien Ourselin; Olga Ciccarelli (npj Digit. Medicine, 2019)

Author Correction: High-dimensional detection of imaging response to treatment in multiple sclerosis. - Baris Kanber; Parashkev Nachev; Frederik Barkhof; Alberto Calvi; Jorge Cardoso 002; Rosa Cortese; Ferran Prados; Carole H. Sudre; Carmen Tur; Sébastien Ourselin; Olga Ciccarelli (npj Digit. Medicine, 2019)

Sparse data to structured imageset transformation. - Baris Kanber (CoRR, 2020)

Neurosense: deep sensing of full or near-full coverage head/brain scans in human magnetic resonance imaging. - Baris Kanber; James K. Ruffle; M. Jorge Cardoso; Sébastien Ourselin; Olga Ciccarelli (Neuroinformatics, 2020)

Image quality assessment for closed-loop computer-assisted lung ultrasound. - Zachary M. C. Baum; Ester Bonmati; Lorenzo Cristoni; Andrew Walden; Ferran Prados; Baris Kanber; Dean C. Barratt; David J. Hawkes; Geoff J. M. Parker; Claudia A. M. Gandini Wheeler-Kingshott; Yipeng Hu (Image-Guided Procedures, 2021)

Musclesense: a Trained, Artificial Neural Network for the Anatomical Segmentation of Lower Limb Magnetic Resonance Images in Neuromuscular Diseases. - Baris Kanber; Jasper M. Morrow; Uros Klickovic; Stephen J. Wastling; Sachit Shah; Pietro Fratta; Amy R. McDowell; Matt G. Hall; Chris A. Clark; Francesco Muntoni; Mary M. Reilly; Michael G. Hanna; et al. (Neuroinformatics, 2021)

A generalized deep learning network for fractional anisotropy reconstruction: Application to epilepsy and multiple sclerosis. - Marta Gaviraghi; Antonio Ricciardi; Fulvia Palesi; Wallace Brownlee; Paolo Vitali; Ferran Prados; Baris Kanber; Claudia A. M. Gandini Wheeler-Kingshott (Frontiers Neuroinformatics, 2022)

Longitudinal Segmentation of Multiple Sclerosis Lesions Using nnU-Net Architecture. - Eloy Martínez-Heras; Francesc Vivó; Marcos Diaz-Hurtado; Baris Kanber; Jordi Casas-Roma; Sara Llufriu; Ferran Prados (CCIA, 2023)

Patterns of inflammation, microstructural alterations, and sodium accumulation define multiple sclerosis subtypes after 15 years from onset. - Antonio Ricciardi; Francesco Grussu; Baris Kanber; Ferran Prados; Marios C. Yiannakas; Bhavana S. Solanky; Frank Riemer; Xavier Golay; Wallace Brownlee; Olga Ciccarelli; Daniel C. Alexander; Claudia A. M. Gandini Wheeler-Kingshott (Frontiers Neuroinformatics, 2023)

Temporal-Invariant Segmentation of Multiple Sclerosis Lesions Using Generative Models. - Marcos Diaz-Hurtado; Eloy Martínez-Heras; Francesc Vivó; Elisabeth Solana; Baris Kanber; Sara Llufriu; Jordi Casas-Roma; Ferran Prados (CCIA, 2024)

Multiclass Lesion Detection Using Longitudinal MRI in Multiple Sclerosis. - Ander Elkoroaristizabal; Francesc Vivó; Alberto Calvi; Elisabeth Solana; Elisabet Lopez-Soley; Salut Alba-Arbalat; Marcos Diaz-Hurtado; Baris Kanber; Jordi Casas-Roma; Sara Llufriu; Ferran Prados; Eloy Martínez-Heras (CCIA, 2024)

Finding the limits of deep learning clinical sensitivity with fractional anisotropy (FA) microstructure maps. - Marta Gaviraghi; Antonio Ricciardi; Fulvia Palesi; Wallace Brownlee; Paolo Vitali; Ferran Prados; Baris Kanber; Claudia A. M. Gandini Wheeler-Kingshott (Frontiers Neuroinformatics, 2024)