MC
Mariano Cabezas
cs.CVMRIMultiple sclerosiseess.IVBraindeep learningNeural Networks, Computercs.LGAlgorithmsConvolutional neural networks
On Valency
published · living versionsW_ctyr365s·v1 · currentpublished
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
with Spyridon Bakas, Mauricio Reyes, Andras Jakab, Stefan Bauer +422
1 version
Preprints & journals
46 papers in the corpus · 2011–2025From Promise to Practical Reality: Transforming Diffusion MRI Analysis with Fast Deep Learning Enhancement2508.10950v2 · Xinyi Wang, Michael Barnett, Frederique Boonstra et al.2025 · 0 citationsarXiv
A protocol for the HEaring Impairment Data Infrastructure (HEIDI) study.40333850 · Tran, Yvonne, Cabezas, Mariano, Tran, Frank et al.2025 · 0 citationsPloS one. 2025;20(5):e0320294
Predicting Human Brain States with Transformer2412.19814v1 · Yifei Sun, Mariano Cabezas, Jiah Lee et al.2024 · 5 citationsarXiv
Enhancing Angular Resolution via Directionality Encoding and Geometric Constraints in Brain Diffusion Tensor Imaging2409.07186v2 · Sheng Chen, Zihao Tang, Mariano Cabezas et al.2024 · 1 citationarXiv
A benchmark for 2D foetal brain ultrasound analysis.39181905 · Cabezas, Mariano, Diez, Yago, Martinez-Diago, Clara et al.2024 · 5 citationsScientific data. 2024;11(1):923
Improving multiple sclerosis lesion segmentation across clinical sites: A federated learning approach with noise-resilient training.38701636 · Bai, Lei, Wang, Dongang, Wang, Hengrui et al.2024 · 33 citationsArtificial intelligence in medicine. 2024;152:102872
How Much Data are Enough? Investigating Dataset Requirements for Patch-Based Brain MRI Segmentation Tasks2404.03451v1 · Dongang Wang, Peilin Liu, Hengrui Wang et al.2024 · 0 citationsarXiv
An Analysis of Loss Functions for Heavily Imbalanced Lesion Segmentation.38544244 · Cabezas, Mariano, Diez, Yago2024 · 12 citationsSensors (Basel, Switzerland). 2024;24(6)
Deep learning distinguishes connectomes from focal epilepsy patients and controls: feasibility and clinical implications.38025275 · Maher, Christina, Tang, Zihao, D'Souza, Arkiev et al.2023 · 3 citationsBrain communications. 2023;5(6):fcad294
A real-world clinical validation for AI-based MRI monitoring in multiple sclerosis.37857813 · Barnett, Michael, Wang, Dongang, Beadnall, Heidi et al.2023 · 56 citationsNPJ digital medicine. 2023;6(1):196
High angular diffusion tensor imaging estimation from minimal evenly distributed diffusion gradient directions.37766937 · Tang, Zihao, Chen, Sheng, D'Souza, Arkiev et al.2023 · 6 citationsFrontiers in radiology. 2023;3:1238566
Learning from pseudo-labels: deep networks improve consistency in longitudinal brain volume estimation.37483345 · Zhan, Geng, Wang, Dongang, Cabezas, Mariano et al.2023 · 7 citationsFrontiers in neuroscience. 2023;17:1196087
Multiple sclerosis lesion segmentation: revisiting weighting mechanisms for federated learning.37274196 · Liu, Dongnan, Cabezas, Mariano, Wang, Dongang et al.2024 · 17 citationsFrontiers in neuroscience. 2023;17:1167612
Precise Few-shot Fat-free Thigh Muscle Segmentation in T1-weighted MRI2304.14053v1 · Sheng Chen, Zihao Tang, Dongnan Liu et al.2023 · 1 citationarXiv
Deep learning distinguishes focal epilepsy groups using connectomes: Feasibility and clinical implications10.1101/2023.02.09.23285681v1 · Maher, C., Tang, Z., D'Souza, A. et al.2023 · 0 citationsmedRxiv
Validation of deep learning techniques for quality augmentation in diffusion MRI for clinical studies.37572514 · Aja-Fernández, Santiago, Martín-Martín, Carmen, Planchuelo-Gómez, Álvaro et al.2023 · 18 citationsNeuroImage. Clinical. 2023;39:103483
Biomedical image analysis competitions: The state of current participation practice2212.08568v2 · Matthias Eisenmann, Annika Reinke, Vivienn Weru et al.2022 · 18 citationsarXiv
Editorial: AI processing of UAV acquired images for pattern monitoring in natural and urban environments.36504491 · Diez Donoso, Yago, Gracias, Nuno, Cabezas, Mariano et al.2022 · 0 citationsFrontiers in robotics and AI. 2022;9:1053063
TW-BAG: Tensor-wise Brain-aware Gate Network for Inpainting Disrupted Diffusion Tensor Imaging2210.17076v1 · Zihao Tang, Xinyi Wang, Lihaowen Zhu et al.2022 · 5 citationsarXiv
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results.36998700 · Mehta, Raghav, Filos, Angelos, Baid, Ujjwal et al.2024 · 61 citationsThe journal of machine learning for biomedical imaging. 2022;2022
Multiple Sclerosis Lesion Analysis in Brain Magnetic Resonance Images: Techniques and Clinical Applications.35171783 · Ma, Yang, Zhang, Chaoyi, Cabezas, Mariano et al.2022 · 49 citationsIEEE journal of biomedical and health informatics. 2022;26(6):2680-2692
MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated Learning2205.01509v1 · Dongnan Liu, Mariano Cabezas, Dongang Wang et al.2022 · 1 citationarXiv
Analysis of UAV-Acquired Wetland Orthomosaics Using GIS, Computer Vision, Computational Topology and Deep Learning.33440797 · Kentsch, Sarah, Cabezas, Mariano, Tomhave, Luca et al.2021 · 28 citationsSensors (Basel, Switzerland). 2021;21(2)
Generating Longitudinal Atrophy Evaluation Datasets on Brain Magnetic Resonance Images Using Convolutional Neural Networks and Segmentation Priors.33389607 · Bernal, Jose, Valverde, Sergi, Kushibar, Kaisar et al.2021 · 18 citationsNeuroinformatics. 2021;19(3):477-492
Improving the detection of autism spectrum disorder by combining structural and functional MRI information.31982680 · Rakić, Mladen, Cabezas, Mariano, Kushibar, Kaisar et al.2021 · 136 citationsNeuroImage. Clinical. 2020;25:102181
A fully convolutional neural network for new T2-w lesion detection in multiple sclerosis.31918065 · Salem, Mostafa, Valverde, Sergi, Cabezas, Mariano et al.2020 · 80 citationsNeuroImage. Clinical. 2020;25:102149
Supervised Domain Adaptation for Automatic Sub-cortical Brain Structure Segmentation with Minimal User Interaction.31043688 · Kushibar, Kaisar, Valverde, Sergi, González-Villà, Sandra et al.2020 · 52 citationsScientific reports. 2019;9(1):6742
Multiple Sclerosis Lesion Synthesis in MRI using an encoder-decoder U-NET1901.05733v1 · Mostafa Salem, Sergi Valverde, Mariano Cabezas et al.2019 · 78 citationsarXiv
One-shot domain adaptation in multiple sclerosis lesion segmentation using convolutional neural networks.30555005 · Valverde, Sergi, Salem, Mostafa, Cabezas, Mariano et al.2019 · 162 citationsNeuroImage. Clinical. 2019;21:101638
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge1811.02629v3 · Spyridon Bakas, Mauricio Reyes, Andras Jakab et al.2018 · 1,441 citationsarXivon Valency
Survival prediction using ensemble tumor segmentation and transfer learning1810.04274v1 · Mariano Cabezas, Sergi Valverde, Sandra Gonz'alez-Villa et al.2018 · 19 citationsarXiv
Objective Evaluation of Multiple Sclerosis Lesion Segmentation using a Data Management and Processing Infrastructure.30209345 · Commowick, Olivier, Istace, Audrey, Kain, Michaël et al.2019 · 280 citationsScientific reports. 2018;8(1):13650
Automated sub-cortical brain structure segmentation combining spatial and deep convolutional features.29935442 · Kushibar, Kaisar, Valverde, Sergi, González-Villà, Sandra et al.2019 · 117 citationsMedical image analysis. 2018;48:177-186
Quantitative analysis of patch-based fully convolutional neural networks for tissue segmentation on brain magnetic resonance imaging1801.06457v2 · Jose Bernal, Kaisar Kushibar, Mariano Cabezas et al.2018 · 47 citationsarXiv
A supervised framework with intensity subtraction and deformation field features for the detection of new T2-w lesions in multiple sclerosis.29234597 · Salem, Mostafa, Cabezas, Mariano, Valverde, Sergi et al.2018 · 58 citationsNeuroImage. Clinical. 2018;17:607-615
Evaluating the effect of multiple sclerosis lesions on automatic brain structure segmentation.28540179 · González-Villà, Sandra, Valverde, Sergi, Cabezas, Mariano et al.2018 · 29 citationsNeuroImage. Clinical. 2017;15:228-238
Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approach.28435096 · Valverde, Sergi, Cabezas, Mariano, Roura, Eloy et al.2018 · 395 citationsNeuroImage. 2017;155:159-168
Improved Automatic Detection of New T2 Lesions in Multiple Sclerosis Using Deformation Fields.27282863 · Cabezas, M, Corral, J F, Oliver, A et al.2022 · 33 citationsAJNR. American journal of neuroradiology. 2016;37(10):1816-1823
A toolbox for multiple sclerosis lesion segmentation.26227167 · Roura, Eloy, Oliver, Arnau, Cabezas, Mariano et al.2016 · 95 citationsNeuroradiology. 2015;57(10):1031-43
Evaluating the effects of white matter multiple sclerosis lesions on the volume estimation of 6 brain tissue segmentation methods.25678478 · Valverde, S, Oliver, A, Díez, Y et al.2016 · 14 citationsAJNR. American journal of neuroradiology. 2015;36(6):1109-15
BOOST: a supervised approach for multiple sclerosis lesion segmentation.25194638 · Cabezas, Mariano, Oliver, Arnau, Valverde, Sergi et al.2015 · 35 citationsJournal of neuroscience methods. 2014;237:108-17
Intensity based methods for brain MRI longitudinal registration. A study on multiple sclerosis patients.24338728 · Diez, Yago, Oliver, Arnau, Cabezas, Mariano et al.2015 · 17 citationsNeuroinformatics. 2014;12(3):365-79
Automatic multiple sclerosis lesion detection in brain MRI by FLAIR thresholding.24813718 · Cabezas, Mariano, Oliver, Arnau, Roura, Eloy et al.2015 · 48 citationsComputer methods and programs in biomedicine. 2014;115(3):147-61
Comparison of 10 brain tissue segmentation methods using revisited IBSR annotations.24459099 · Valverde, Sergi, Oliver, Arnau, Cabezas, Mariano et al.2015 · 85 citationsJournal of magnetic resonance imaging : JMRI. 2015;41(1):93-101
MARGA: multispectral adaptive region growing algorithm for brain extraction on axial MRI.24380649 · Roura, Eloy, Oliver, Arnau, Cabezas, Mariano et al.2014 · 38 citationsComputer methods and programs in biomedicine. 2014;113(2):655-73
A review of atlas-based segmentation for magnetic resonance brain images.21871688 · Cabezas, Mariano, Oliver, Arnau, Lladó, Xavier et al.2012 · 417 citationsComputer methods and programs in biomedicine. 2011;104(3):e158-77
Career total: 300 works. 46 are in this corpus.
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