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ABCD Neurocognitive Prediction Challenge 2019: Predicting Individual Fluid Intelligence Scores from Structural MRI Using Probabilistic Segmentation and Kernel Ridge Regression.

Á. Mihalik, M. Brudfors, M. Robu, F. Ferreira, H. Lin, A. Rau, T. Wu, S. Blumberg, B. Kanber, M. Tariq, M. Garcia, C. Zor, D. Nikitichev, J. Miranda, and N. Oxtoby. ABCD-NP@MICCAI, volume 11791 of Lecture Notes in Computer Science, page 133-142. Springer, (2019)

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Baris Yanik

Baris Ünver

Deniz Kanber

Caroline Barisch

Baris Serifsoy

Other publications of authors with the same name

A generalized deep learning network for fractional anisotropy reconstruction: Application to epilepsy and multiple sclerosis.M. Gaviraghi, A. Ricciardi, F. Palesi, W. Brownlee, P. Vitali, F. Prados, B. Kanber, and C. Wheeler-Kingshott. Frontiers Neuroinformatics, (2022)Neurosense: deep sensing of full or near-full coverage head/brain scans in human magnetic resonance imaging.B. Kanber, J. Ruffle, M. Cardoso, S. Ourselin, and O. Ciccarelli. Neuroinformatics, 18 (2): 333-336 (2020)ABCD Neurocognitive Prediction Challenge 2019: Predicting Individual Residual Fluid Intelligence Scores from Cortical Grey Matter Morphology.N. Oxtoby, F. Ferreira, Á. Mihalik, T. Wu, M. Brudfors, H. Lin, A. Rau, S. Blumberg, M. Robu, C. Zor and 5 other author(s). ABCD-NP@MICCAI, volume 11791 of Lecture Notes in Computer Science, page 114-123. Springer, (2019)ABCD Neurocognitive Prediction Challenge 2019: Predicting Individual Fluid Intelligence Scores from Structural MRI Using Probabilistic Segmentation and Kernel Ridge Regression.Á. Mihalik, M. Brudfors, M. Robu, F. Ferreira, H. Lin, A. Rau, T. Wu, S. Blumberg, B. Kanber, M. Tariq and 5 other author(s). ABCD-NP@MICCAI, volume 11791 of Lecture Notes in Computer Science, page 133-142. Springer, (2019)Fully Automated Patch-Based Image Restoration: Application to Pathology Inpainting.F. Prados, M. Cardoso, N. Cawley, B. Kanber, O. Ciccarelli, C. Wheeler-Kingshott, and S. Ourselin. BrainLes@MICCAI, volume 10154 of Lecture Notes in Computer Science, page 3-15. (2016)Image quality assessment for closed-loop computer-assisted lung ultrasound.Z. Baum, E. Bonmati, L. Cristoni, A. Walden, F. Prados, B. Kanber, D. Barratt, D. Hawkes, G. Parker, C. Wheeler-Kingshott and 1 other author(s). Medical Imaging: Image-Guided Procedures, volume 11598 of SPIE Proceedings, SPIE, (2021)Longitudinal Segmentation of Multiple Sclerosis Lesions Using nnU-Net Architecture.E. Martínez-Heras, F. Vivó, M. Diaz-Hurtado, B. Kanber, J. Casas-Roma, S. Llufriu, and F. Prados. CCIA, volume 375 of Frontiers in Artificial Intelligence and Applications, page 163-172. IOS Press, (2023)

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Disambiguation of "Kanber, Baris"