Mariano Cabezas

According to our database, Mariano Cabezas authored at least 37 papers between 2011 and 2024.

Collaborative distances:

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

2024

An Analysis of Loss Functions for Heavily Imbalanced Lesion Segmentation.

Mariano Cabezas, Yago Diez

Sensors, March, 2024

Sub-alpine shrub classification using UAV images: Performance of human observers vs DL classifiers.

Koma Moritake, Mariano Cabezas, Tran Thi Cam Nhung, Maximo Larry Lopez Caceres, Yago Diez

Ecol. Informatics, 2024

Enhancing Angular Resolution via Directionality Encoding and Geometric Constraints in Brain Diffusion Tensor Imaging.

Sheng Chen, Zihao Tang, Mariano Cabezas, Xinyi Wang, Arkiev D'Souza, Michael Barnett, Fernando Calamante, Weidong Cai, Chenyu Wang

CoRR, 2024

A benchmark for 2D foetal brain ultrasound analysis.

Mariano Cabezas, Yago Diez, Clara Martinez-Diago, Anna Maroto

CoRR, 2024

How Much Data are Enough? Investigating Dataset Requirements for Patch-Based Brain MRI Segmentation Tasks.

Dongang Wang, Peilin Liu, Hengrui Wang, Heidi Beadnall, Kain Kyle, Linda Ly, Mariano Cabezas, Geng Zhan, Ryan Sullivan, Tom Weidong Cai, Wanli Ouyang, Fernando Calamante, Michael Barnett, Chenyu Wang

CoRR, 2024

Improving multiple sclerosis lesion segmentation across clinical sites: A federated learning approach with noise-resilient training.

Lei Bai, Dongang Wang, Hengrui Wang, Michael Barnett, Mariano Cabezas, Weidong Cai, Fernando Calamante, Kain Kyle, Dongnan Liu, Linda Ly, Aria Nguyen, Chun-Chien Shieh, Ryan Sullivan, Geng Zhan, Wanli Ouyang, Chenyu Wang

Artif. Intell. Medicine, 2024

2023

A real-world clinical validation for AI-based MRI monitoring in multiple sclerosis.

Michael Barnett, Dongang Wang, Heidi Beadnall, Antje Bischof, David Brunacci, Helmut Butzkueven, J. William L. Brown, Mariano Cabezas, Tilak Das, Tej Dugal, Daniel Guilfoyle, Alexander Klistorner, Stephen Krieger, Kain Kyle, Linda Ly, Lynette Masters, Andy Shieh, Zihao Tang, Anneke van der Walt, Kayla Ward, Heinz Wiendl, Geng Zhan, Robert Zivadinov, Yael Barnett, Chenyu Wang

npj Digit. Medicine, 2023

Fed-CoT: Co-teachers for Federated Semi-supervised MS Lesion Segmentation.

Geng Zhan, Jiajun Deng, Mariano Cabezas, Wanli Ouyang, Michael Barnett, Chenyu Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

Precise Few-Shot Fat-Free Thigh Muscle Segmentation in T1-Weighted MRI.

Sheng Chen, Zihao Tang, Dongnan Liu, Ché Fornusek, Michael Barnett, Chenyu Wang, Mariano Cabezas, Weidong Cai

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Understanding the Role of Saliency Maps for Biomarker Research in 3D Medical Imaging Classification.

Yixiong Shi, Chenyu Wang, Dongnan Liu, Weidong Cai, Mariano Cabezas

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

2022

Multiple Sclerosis Lesion Analysis in Brain Magnetic Resonance Images: Techniques and Clinical Applications.

Yang Ma, Chaoyi Zhang, Mariano Cabezas, Yang Song, Zihao Tang, Dongnan Liu, Weidong Cai, Michael Barnett, Chenyu Wang

IEEE J. Biomed. Health Informatics, 2022

Editorial: AI processing of UAV acquired images for pattern monitoring in natural and urban environments.

Yago Diez Donoso, Nuno Gracias, Mariano Cabezas, Carsten Jürgens, Maximo Larry Lopez Caceres

Frontiers Robotics AI, 2022

TW-BAG: Tensor-wise Brain-aware Gate Network for Inpainting Disrupted Diffusion Tensor Imaging.

Zihao Tang, Xinyi Wang, Lihaowen Zhu, Mariano Cabezas, Dongnan Liu, Michael Barnett, Weidong Cai, Chenyu Wang

CoRR, 2022

MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated Learning.

Dongnan Liu, Mariano Cabezas, Dongang Wang, Zihao Tang, Lei Bai, Geng Zhan, Yuling Luo, Kain Kyle, Linda Ly, James Yu, Chun-Chien Shieh, Aria Nguyen, Ettikan Kandasamy Karuppiah, Ryan Sullivan, Fernando Calamante, Michael Barnett, Wanli Ouyang, Weidong Cai, Chenyu Wang

CoRR, 2022

Diffusion MRI Fibre Orientation Distribution Inpainting.

Zihao Tang, Xinyi Wang, Mariano Cabezas, Arkiev D'Souza, Fernando Calamante, Dongnan Liu, Michael Barnett, Chenyu Wang, Tom Weidong Cai

Proceedings of the Computational Diffusion MRI - 13th International Workshop, 2022

2021

Analysis of UAV-Acquired Wetland Orthomosaics Using GIS, Computer Vision, Computational Topology and Deep Learning.

Sarah Kentsch, Mariano Cabezas, Luca Tomhave, Jens Gross, Benjamin Burkhard, Maximo Larry Lopez Caceres, Katsushi Waki, Yago Diez

Sensors, 2021

Deep Learning in Forestry Using UAV-Acquired RGB Data: A Practical Review.

Yago Diez, Sarah Kentsch, Motohisa Fukuda, Maximo Larry Lopez Caceres, Koma Moritake, Mariano Cabezas

Remote. Sens., 2021

Generating Longitudinal Atrophy Evaluation Datasets on Brain Magnetic Resonance Images Using Convolutional Neural Networks and Segmentation Priors.

José Bernal, Sergi Valverde, Kaisar Kushibar, Mariano Cabezas, Arnau Oliver, Xavier Lladó

Neuroinformatics, 2021

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results.

Raghav Mehta, Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Michael Rebsamen, Katrin Dätwyler, Raphael Meier, Piotr Radojewski, Gowtham Krishnan Murugesan, Sahil S. Nalawade, Chandan Ganesh, Benjamin C. Wagner, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian, Laura Alexandra Daza, Catalina Gómez Caballero, Pablo Arbeláez, Chengliang Dai, Shuo Wang, Hadrien Raynaud, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai, Subhashis Banerjee, Linmin Pei, Murat Ak, Sarahi Rosas-González, Ilyess Zemmoura, Clovis Tauber, Minh H. Vu, Tufve Nyholm, Tommy Löfstedt, Laura Mora Ballestar, Verónica Vilaplana, Hugh McHugh, Gonzalo D. Maso Talou, Alan Wang, Jay B. Patel, Ken Chang, Katharina Hoebel, Mishka Gidwani, Nishanth Thumbavanam Arun, Sharut Gupta, Mehak Aggarwal, Praveer Singh, Elizabeth R. Gerstner, Jayashree Kalpathy-Cramer, Nicolas Boutry, Alexis Huard, Lasitha Vidyaratne, Md Monibor Rahman, Khan M. Iftekharuddin, Joseph Chazalon, Élodie Puybareau, Guillaume Tochon, Jun Ma, Mariano Cabezas, Xavier Lladó, Arnau Oliver, Liliana Valencia, Sergi Valverde, Mehdi Amian, Mohammadreza Soltaninejad, Andriy Myronenko, Ali Hatamizadeh, Xue Feng, Quan Dou, Nicholas J. Tustison, Craig H. Meyer, Nisarg A. Shah, Sanjay N. Talbar, Marc-André Weber, Abhishek Mahajan, András Jakab, Roland Wiest, Hassan M. Fathallah-Shaykh, Arash Nazeri, Mikhail Milchenko, Daniel S. Marcus, Aikaterini Kotrotsou, Rivka Colen, John B. Freymann, Justin S. Kirby, Christos Davatzikos, Bjoern H. Menze, Spyridon Bakas, Yarin Gal, Tal Arbel

CoRR, 2021

LG-Net: Lesion Gate Network for Multiple Sclerosis Lesion Inpainting.

Zihao Tang, Mariano Cabezas, Dongnan Liu, Michael Barnett, Weidong Cai, Chenyu Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Detection of Invasive Species in Wetlands: Practical DL with Heavily Imbalanced Data.

Mariano Cabezas, Sarah Kentsch, Luca Tomhave, Jens Gross, Maximo Larry Lopez Caceres, Yago Diez

Remote. Sens., 2020

2019

Multiple Sclerosis Lesion Synthesis in MRI Using an Encoder-Decoder U-NET.

Mostafa Salem, Sergi Valverde, Mariano Cabezas, Deborah Pareto, Arnau Oliver, Joaquim Salvi, Alex Rovira, Xavier Lladó

IEEE Access, 2019

Quantitative Analysis of Patch-Based Fully Convolutional Neural Networks for Tissue Segmentation on Brain Magnetic Resonance Imaging.

José Bernal, Kaisar Kushibar, Mariano Cabezas, Sergi Valverde, Arnau Oliver, Xavier Lladó

IEEE Access, 2019

2018

Automated sub-cortical brain structure segmentation combining spatial and deep convolutional features.

Kaisar Kushibar, Sergi Valverde, Sandra González-Villà, José Bernal, Mariano Cabezas, Arnau Oliver, Xavier Lladó

Medical Image Anal., 2018

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge.

Spyridon Bakas, Mauricio Reyes, András Jakab, Stefan Bauer, Markus Rempfler, Alessandro Crimi, Russell Takeshi Shinohara, Christoph Berger, Sung Min Ha, Martin Rozycki, Marcel Prastawa, Esther Alberts, Jana Lipková, John B. Freymann, Justin S. Kirby, Michel Bilello, Hassan M. Fathallah-Shaykh, Roland Wiest, Jan Kirschke, Benedikt Wiestler, Rivka R. Colen, Aikaterini Kotrotsou, Pamela LaMontagne, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Marc-André Weber, Abhishek Mahajan, Ujjwal Baid, Dongjin Kwon, Manu Agarwal, Mahbubul Alam, Alberto Albiol, Antonio Albiol, Alex Varghese, Tran Anh Tuan, Tal Arbel, Aaron Avery, Pranjal B., Subhashis Banerjee, Thomas Batchelder, Kayhan N. Batmanghelich, Enzo Battistella, Martin Bendszus, Eze Benson, José Bernal, George Biros, Mariano Cabezas, Siddhartha Chandra, Yi-Ju Chang, et al.

CoRR, 2018

Survival prediction using ensemble tumor segmentation and transfer learning.

Mariano Cabezas, Sergi Valverde, Sandra González-Villà, Albert Clérigues, Mostafa Salem, Kaisar Kushibar, José Bernal, Arnau Oliver, Xavier Lladó

CoRR, 2018

One-shot domain adaptation in multiple sclerosis lesion segmentation using convolutional neural networks.

Sergi Valverde, Mostafa Salem, Mariano Cabezas, Deborah Pareto, Joan Carles Vilanova, Lluís Ramió-Torrentà, Alex Rovira, Joaquim Salvi, Arnau Oliver, Xavier Lladó

CoRR, 2018

2017

Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approach.

Sergi Valverde, Mariano Cabezas, Eloy Roura, Sandra González-Villà, Deborah Pareto, Joan Carles Vilanova, Lluís Ramió-Torrentà, Alex Rovira, Arnau Oliver, Xavier Lladó

NeuroImage, 2017

2016

An SPM12 extension for multiple sclerosis lesion segmentation.

Eloy Roura, Arnau Oliver, Mariano Cabezas, Sergi Valverde, Deborah Pareto, Joan Carles Vilanova, Lluís Ramió-Torrentà, Alex Rovira, Xavier Lladó

Proceedings of the Medical Imaging 2016: Image Processing, 2016

2014

Intensity Based Methods for Brain MRI Longitudinal Registration. A Study on Multiple Sclerosis Patients.

Yago Diez, Arnau Oliver, Mariano Cabezas, Sergi Valverde, Robert Marti, Joan Carles Vilanova, Lluís Ramió-Torrentà, Alex Rovira, Xavier Lladó

Neuroinformatics, 2014

MARGA: Multispectral Adaptive Region Growing Algorithm for brain extraction on axial MRI.

Eloy Roura, Arnau Oliver, Mariano Cabezas, Joan Carles Vilanova, Alex Rovira, Lluís Ramió-Torrentà, Xavier Lladó

Comput. Methods Programs Biomed., 2014

Automatic multiple sclerosis lesion detection in brain MRI by FLAIR thresholding.

Mariano Cabezas, Arnau Oliver, Eloy Roura, Jordi Freixenet, Joan Carles Vilanova, Lluís Ramió-Torrentà, Alex Rovira, Xavier Lladó

Comput. Methods Programs Biomed., 2014

2013

Atlas-based segmentation of multiple sclerosis lesions in magnetic resonance imaging.

Mariano Cabezas

PhD thesis, 2013

A Supervised Approach for Multiple Sclerosis Lesion Segmentation Using Context Features and an Outlier Map.

Mariano Cabezas, Arnau Oliver, Jordi Freixenet, Xavier Lladó

Proceedings of the Pattern Recognition and Image Analysis - 6th Iberian Conference, 2013

2012

Segmentation of multiple sclerosis lesions in brain MRI: A review of automated approaches.

Xavier Lladó, Arnau Oliver, Mariano Cabezas, Jordi Freixenet, Joan Carles Vilanova, Ana Quiles, Laia Valls, Lluís Ramió-Torrentà, Alex Rovira

Inf. Sci., 2012

Lesion segmentation and bias correction in breast ultrasound B-mode images including elastography information.

Gerard Pons, Joan Martí, Robert Marti, Mariano Cabezas, Andrew Di Battista, J. Alison Noble

Proceedings of the Medical Imaging 2012: Image Processing, 2012

2011

A review of atlas-based segmentation for magnetic resonance brain images.

Mariano Cabezas, Arnau Oliver, Xavier Lladó, Jordi Freixenet, Meritxell Bach Cuadra

Comput. Methods Programs Biomed., 2011