András Jakab
Orcid: 0000-0001-6291-9889
According to our database1,
András Jakab
authored at least 29 papers
between 2014 and 2024.
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Bibliography
2024
A Dempster-Shafer Approach to Trustworthy AI With Application to Fetal Brain MRI Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024
2023
Medical Image Anal., August, 2023
FetMRQC: an open-source machine learning framework for multi-centric fetal brain MRI quality control.
CoRR, 2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn).
CoRR, 2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting.
CoRR, 2023
2022
Slice Estimation in Diffusion MRI of Neonatal and Fetal Brains in Image and Spherical Harmonics Domains Using Autoencoders.
Proceedings of the Computational Diffusion MRI - 13th International Workshop, 2022
Synthetic Magnetic Resonance Images for Domain Adaptation: Application to Fetal Brain Tissue Segmentation.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
2021
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results.
CoRR, 2021
The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification.
CoRR, 2021
Quantitative Evaluation of Enhanced Multi-plane Clinical Fetal Diffusion MRI with a Crossing-Fiber Phantom.
Proceedings of the Computational Diffusion MRI - 12th International Workshop, 2021
2020
Inhibition is associated with whole-brain structural brain connectivity on network level in school-aged children born very preterm and at term.
NeuroImage, 2020
A comparison of automatic multi-tissue segmentation methods of the human fetal brain using the FeTA Dataset.
CoRR, 2020
Efficient Multi-class Fetal Brain Segmentation in High Resolution MRI Reconstructions with Noisy Labels.
Proceedings of the Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, 2020
2019
Proceedings of the Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis, 2019
Implicit Modeling With Uncertainty Estimation For Intravoxel Incoherent Motion Imaging.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
2018
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge.
CoRR, 2018
2017
Proceedings of the Cloud-Based Benchmarking of Medical Image Analysis, 2017
Proceedings of the Cloud-Based Benchmarking of Medical Image Analysis, 2017
Proceedings of the Cloud-Based Benchmarking of Medical Image Analysis, 2017
2016
Cloud-Based Evaluation of Anatomical Structure Segmentation and Landmark Detection Algorithms: VISCERAL Anatomy Benchmarks.
IEEE Trans. Medical Imaging, 2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
2015
IEEE Trans. Medical Imaging, 2015
Disrupted developmental organization of the structural connectome in fetuses with corpus callosum agenesis.
NeuroImage, 2015
Proceedings of the VISCERAL Anatomy3 Organ Segmentation Challenge co-located with IEEE International Symposium on Biomedical Imaging (ISBI 2015), 2015
2014
A Locally Linear Method for Enforcing Temporal Smoothness in Serial Image Registration.
Proceedings of the Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, 2014
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014