Baris Kanber

Orcid: 0000-0003-2443-8800

According to our database1, Baris Kanber authored at least 13 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Patterns of inflammation, microstructural alterations, and sodium accumulation define multiple sclerosis subtypes after 15 years from onset.
Frontiers Neuroinformatics, March, 2023

Longitudinal Segmentation of Multiple Sclerosis Lesions Using nnU-Net Architecture.
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.
Frontiers Neuroinformatics, 2022

2021
Musclesense: a Trained, Artificial Neural Network for the Anatomical Segmentation of Lower Limb Magnetic Resonance Images in Neuromuscular Diseases.
Neuroinformatics, 2021

Image quality assessment for closed-loop computer-assisted lung ultrasound.
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.
Neuroinformatics, 2020

Sparse data to structured imageset transformation.
CoRR, 2020

2019
Author Correction: High-dimensional detection of imaging response to treatment in multiple sclerosis.
npj Digit. Medicine, 2019

High-dimensional detection of imaging response to treatment in multiple sclerosis.
npj Digit. Medicine, 2019

ABCD Neurocognitive Prediction Challenge 2019: Predicting Individual Residual Fluid Intelligence Scores from Cortical Grey Matter Morphology.
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.
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.
NeuroImage, 2016

Fully Automated Patch-Based Image Restoration: Application to Pathology Inpainting.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2016


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