Baris Kanber

According to our database, Baris Kanber authored at least 16 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

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

Proceedings of the Artificial Intelligence Research and Development, 2024

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

Proceedings of the Artificial Intelligence Research and Development, 2024

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, March, 2023

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

Proceedings of the Artificial Intelligence Research and Development, 2023

2022

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

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, Daniel C. Alexander, Tarek A. Yousry, John S. Thornton

Neuroinformatics, 2021

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

Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

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

Sparse data to structured imageset transformation.

Baris Kanber

CoRR, 2020

2019

Author Correction: High-dimensional detection of imaging response to treatment in multiple sclerosis.

Baris Kanber, Parashkev Nachev, Frederik Barkhof, Alberto Calvi, Jorge Cardoso, Rosa Cortese, Ferran Prados, Carole H. Sudre, Carmen Tur, Sébastien Ourselin, Olga Ciccarelli

npj Digit. Medicine, 2019

High-dimensional detection of imaging response to treatment in multiple sclerosis.

Baris Kanber, Parashkev Nachev, Frederik Barkhof, Alberto Calvi, Jorge Cardoso, Rosa Cortese, Ferran Prados, Carole H. Sudre, Carmen Tur, Sébastien Ourselin, Olga Ciccarelli

npj Digit. Medicine, 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, Baris Kanber, Daniil I. Nikitichev, Janaina Mourão Miranda

Proceedings of the Adolescent Brain Cognitive Development Neurocognitive Prediction, 2019

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, Daniil I. Nikitichev, Janaina Mourão Miranda, Neil P. Oxtoby

Proceedings of the Adolescent Brain Cognitive Development Neurocognitive Prediction, 2019

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

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

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2016