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Mariano Cabezas
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2020 – today
- 2024
- [j19]Lei Bai
, Dongang Wang
Improving multiple sclerosis lesion segmentation across clinical sites: A federated learning approach with noise-resilient training. Artif. Intell. Medicine 152: 102872 (2024) - [j18]Koma Moritake, Mariano Cabezas
Sub-alpine shrub classification using UAV images: Performance of human observers vs DL classifiers. Ecol. Informatics 80: 102462 (2024) - [j17]Mariano Cabezas
An Analysis of Loss Functions for Heavily Imbalanced Lesion Segmentation. Sensors 24(6): 1981 (2024) - [i16]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:
How Much Data are Enough? Investigating Dataset Requirements for Patch-Based Brain MRI Segmentation Tasks. CoRR abs/2404.03451 (2024) - [i15]Mariano Cabezas, Yago Diez, Clara Martinez-Diago, Anna Maroto:
A benchmark for 2D foetal brain ultrasound analysis. CoRR abs/2406.17250 (2024) - [i14]Sheng Chen, Zihao Tang, Mariano Cabezas, Xinyi Wang, Arkiev D'Souza, Michael Barnett, Fernando Calamante, Weidong Cai, Chenyu Wang:
Enhancing Angular Resolution via Directionality Encoding and Geometric Constraints in Brain Diffusion Tensor Imaging. CoRR abs/2409.07186 (2024) - 2023
- [j16]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:
A real-world clinical validation for AI-based MRI monitoring in multiple sclerosis. npj Digit. Medicine 6 (2023) - [c8]Yixiong Shi, Chenyu Wang
Understanding the Role of Saliency Maps for Biomarker Research in 3D Medical Imaging Classification. DICTA 2023: 41-48 - [c7]Sheng Chen, Zihao Tang
Precise Few-Shot Fat-Free Thigh Muscle Segmentation in T1-Weighted MRI. ISBI 2023: 1-5 - [c6]Geng Zhan, Jiajun Deng, Mariano Cabezas
Fed-CoT: Co-teachers for Federated Semi-supervised MS Lesion Segmentation. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 357-366 - [i13]Sheng Chen, Zihao Tang
Precise Few-shot Fat-free Thigh Muscle Segmentation in T1-weighted MRI. CoRR abs/2304.14053 (2023) - [i12]Lei Bai
Improving Multiple Sclerosis Lesion Segmentation Across Clinical Sites: A Federated Learning Approach with Noise-Resilient Training. CoRR abs/2308.16376 (2023) - 2022
- [j15]Yago Diez Donoso
Editorial: AI processing of UAV acquired images for pattern monitoring in natural and urban environments. Frontiers Robotics AI 9 (2022) - [j14]Yang Ma, Chaoyi Zhang
Multiple Sclerosis Lesion Analysis in Brain Magnetic Resonance Images: Techniques and Clinical Applications. IEEE J. Biomed. Health Informatics 26(6): 2680-2692 (2022) - [c5]Zihao Tang
Diffusion MRI Fibre Orientation Distribution Inpainting. CDMRI@MICCAI 2022: 65-76 - [i11]Dongnan Liu, Mariano Cabezas
MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated Learning. CoRR abs/2205.01509 (2022) - [i10]Zihao Tang
TW-BAG: Tensor-wise Brain-aware Gate Network for Inpainting Disrupted Diffusion Tensor Imaging. CoRR abs/2210.17076 (2022) - 2021
- [j13]José Bernal
Generating Longitudinal Atrophy Evaluation Datasets on Brain Magnetic Resonance Images Using Convolutional Neural Networks and Segmentation Priors. Neuroinformatics 19(3): 477-492 (2021) - [j12]Yago Diez
Deep Learning in Forestry Using UAV-Acquired RGB Data: A Practical Review. Remote. Sens. 13(14): 2837 (2021) - [j11]Sarah Kentsch
Analysis of UAV-Acquired Wetland Orthomosaics Using GIS, Computer Vision, Computational Topology and Deep Learning. Sensors 21(2): 471 (2021) - [c4]Zihao Tang
LG-Net: Lesion Gate Network for Multiple Sclerosis Lesion Inpainting. MICCAI (7) 2021: 660-669 - [i9]Yang Ma, Chaoyi Zhang, Mariano Cabezas, Yang Song, Zihao Tang, Dongnan Liu, Tom Weidong Cai, Michael Barnett, Chenyu Wang:
Multiple Sclerosis Lesion Analysis in Brain Magnetic Resonance Images: Techniques and Clinical Applications. CoRR abs/2104.10029 (2021) - [i8]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:
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. CoRR abs/2112.10074 (2021) - 2020
- [j10]Mariano Cabezas
Detection of Invasive Species in Wetlands: Practical DL with Heavily Imbalanced Data. Remote. Sens. 12(20): 3431 (2020)
2010 – 2019
- 2019
- [j9]Mostafa Salem
Multiple Sclerosis Lesion Synthesis in MRI Using an Encoder-Decoder U-NET. IEEE Access 7: 25171-25184 (2019) - [j8]José Bernal
Quantitative Analysis of Patch-Based Fully Convolutional Neural Networks for Tissue Segmentation on Brain Magnetic Resonance Imaging. IEEE Access 7: 89986-90002 (2019) - [i7]Mostafa Salem, Sergi Valverde, Mariano Cabezas, Deborah Pareto, Arnau Oliver, Joaquim Salvi, Alex Rovira, Xavier Lladó:
Multiple Sclerosis Lesion Synthesis in MRI using an encoder-decoder U-NET. CoRR abs/1901.05733 (2019) - 2018
- [j7]Kaisar Kushibar
Automated sub-cortical brain structure segmentation combining spatial and deep convolutional features. Medical Image Anal. 48: 177-186 (2018) - [i6]José Bernal, Kaisar Kushibar, Mariano Cabezas, Sergi Valverde, Arnau Oliver, Xavier Lladó:
Quantitative analysis of patch-based fully convolutional neural networks for tissue segmentation on brain magnetic resonance imaging. CoRR abs/1801.06457 (2018) - [i5]Sergi Valverde, Mostafa Salem, Mariano Cabezas, Deborah Pareto, Joan Carles Vilanova, Lluís Ramió-Torrentà, Alex Rovira, Joaquim Salvi, Arnau Oliver, Xavier Lladó:
One-shot domain adaptation in multiple sclerosis lesion segmentation using convolutional neural networks. CoRR abs/1805.12415 (2018) - [i4]Mariano Cabezas, Sergi Valverde, Sandra González-Villà
Survival prediction using ensemble tumor segmentation and transfer learning. CoRR abs/1810.04274 (2018) - [i3]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
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge. CoRR abs/1811.02629 (2018) - 2017
- [j6]Sergi Valverde, Mariano Cabezas
Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approach. NeuroImage 155: 159-168 (2017) - [i2]Sergi Valverde, Mariano Cabezas, Eloy Roura, Sandra González-Villà, Deborah Pareto, Joan Carles Vilanova, Lluís Ramió-Torrentà, Alex Rovira, Arnau Oliver, Xavier Lladó:
Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approach. CoRR abs/1702.04869 (2017) - [i1]Kaisar Kushibar, Sergi Valverde, Sandra González-Villà, José Bernal, Mariano Cabezas, Arnau Oliver, Xavier Lladó:
Automated sub-cortical brain structure segmentation combining spatial and deep convolutional features. CoRR abs/1709.09075 (2017) - 2016
- [c3]Eloy Roura, Arnau Oliver, Mariano Cabezas
An SPM12 extension for multiple sclerosis lesion segmentation. Medical Imaging: Image Processing 2016: 97842N - 2014
- [j5]Eloy Roura
MARGA: Multispectral Adaptive Region Growing Algorithm for brain extraction on axial MRI. Comput. Methods Programs Biomed. 113(2): 655-673 (2014) - [j4]Mariano Cabezas
Automatic multiple sclerosis lesion detection in brain MRI by FLAIR thresholding. Comput. Methods Programs Biomed. 115(3): 147-161 (2014) - [j3]Yago Diez
Intensity Based Methods for Brain MRI Longitudinal Registration. A Study on Multiple Sclerosis Patients. Neuroinformatics 12(3): 365-379 (2014) - 2013
- [b1]Mariano Cabezas:
Atlas-based segmentation of multiple sclerosis lesions in magnetic resonance imaging. University of Girona, Spain, 2013 - [c2]Mariano Cabezas
A Supervised Approach for Multiple Sclerosis Lesion Segmentation Using Context Features and an Outlier Map. IbPRIA 2013: 782-789 - 2012
- [j2]Xavier Lladó
Segmentation of multiple sclerosis lesions in brain MRI: A review of automated approaches. Inf. Sci. 186(1): 164-185 (2012) - [c1]Gerard Pons
Lesion segmentation and bias correction in breast ultrasound B-mode images including elastography information. Medical Imaging: Image Processing 2012: 83141E - 2011
- [j1]Mariano Cabezas
A review of atlas-based segmentation for magnetic resonance brain images. Comput. Methods Programs Biomed. 104(3): 158- (2011)
Coauthor Index
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last updated on 2024-10-14 23:28 CEST by the dblp team
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