Search Results - "Cabezas, Mariano"

An Analysis of Loss Functions for Heavily Imbalanced Lesion Segmentation by Cabezas, Mariano, Diez, Yago

“…Heavily imbalanced datasets are common in lesion segmentation. Specifically, the lesions usually comprise less than 5% of the whole image volume when dealing…”
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Automated sub-cortical brain structure segmentation combining spatial and deep convolutional features by Kushibar, Kaisar, Valverde, Sergi, González-Villà, Sandra, Bernal, Jose, Cabezas, Mariano, Oliver, Arnau, Lladó, Xavier

“…•We propose a CNN approach for sub-cortical brain structure segmentation that combines convolutional and spatial features.•A new sample selection technique to…”
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Deep Learning in Forestry Using UAV-Acquired RGB Data: A Practical Review by Diez, Yago, Kentsch, Sarah, Fukuda, Motohisa, Caceres, Maximo Larry Lopez, Moritake, Koma, Cabezas, Mariano

“…Forests are the planet’s main CO2 filtering agent as well as important economical, environmental and social assets. Climate change is exerting an increased…”
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Supervised Domain Adaptation for Automatic Sub-cortical Brain Structure Segmentation with Minimal User Interaction by Kushibar, Kaisar, Valverde, Sergi, González-Villà, Sandra, Bernal, Jose, Cabezas, Mariano, Oliver, Arnau, Lladó, Xavier

“…In recent years, some convolutional neural networks (CNNs) have been proposed to segment sub-cortical brain structures from magnetic resonance images (MRIs)…”
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A review of atlas-based segmentation for magnetic resonance brain images by Cabezas, Mariano, Oliver, Arnau, Lladó, Xavier, Freixenet, Jordi, Bach Cuadra, Meritxell

“…Abstract Normal and abnormal brains can be segmented by registering the target image with an atlas. Here, an atlas is defined as the combination of an…”
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Improving the detection of autism spectrum disorder by combining structural and functional MRI information by Rakić, Mladen, Cabezas, Mariano, Kushibar, Kaisar, Oliver, Arnau, Lladó, Xavier

“…•We present an approach for autism classification based on neuroimaging MRI.•The pipeline relies on connectivity matrices and machine learning…”
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One-shot domain adaptation in multiple sclerosis lesion segmentation using convolutional neural networks by Valverde, Sergi, Salem, Mostafa, Cabezas, Mariano, Pareto, Deborah, Vilanova, Joan C., Ramió-Torrentà, Lluís, Rovira, Àlex, Salvi, Joaquim, Oliver, Arnau, Lladó, Xavier

“…In recent years, several convolutional neural network (CNN) methods have been proposed for the automated white matter lesion segmentation of multiple sclerosis…”
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A benchmark for 2D foetal brain ultrasound analysis by Cabezas, Mariano, Diez, Yago, Martinez-Diago, Clara, Maroto, Anna

“…Brain development involves a sequence of structural changes from early stages of the embryo until several months after birth. Currently, ultrasound is the…”
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Segmentation of multiple sclerosis lesions in brain MRI: A review of automated approaches by Lladó, Xavier, Oliver, Arnau, Cabezas, Mariano, Freixenet, Jordi, Vilanova, Joan C., Quiles, Ana, Valls, Laia, Ramió-Torrentà, Lluís, Rovira, Àlex

“…Automatic segmentation of multiple sclerosis (MS) lesions in brain MRI has been widely investigated in recent years with the goal of helping MS diagnosis and…”
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Generating Longitudinal Atrophy Evaluation Datasets on Brain Magnetic Resonance Images Using Convolutional Neural Networks and Segmentation Priors by Bernal, Jose, Valverde, Sergi, Kushibar, Kaisar, Cabezas, Mariano, Oliver, Arnau, Lladó, Xavier

“…Brain atrophy quantification plays a fundamental role in neuroinformatics since it permits studying brain development and neurological disorders. However, the…”
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Analysis of UAV-Acquired Wetland Orthomosaics Using GIS, Computer Vision, Computational Topology and Deep Learning by Kentsch, Sarah, Cabezas, Mariano, Tomhave, Luca, Groß, Jens, Burkhard, Benjamin, Lopez Caceres, Maximo Larry, Waki, Katsushi, Diez, Yago

“…Invasive blueberry species endanger the sensitive environment of wetlands and protection laws call for management measures. Therefore, methods are needed to…”
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A fully convolutional neural network for new T2-w lesion detection in multiple sclerosis by Salem, Mostafa, Valverde, Sergi, Cabezas, Mariano, Pareto, Deborah, Oliver, Arnau, Salvi, Joaquim, Rovira, Àlex, Lladó, Xavier

“…•A deep learning model for new T2-w lesions detection in multiple sclerosis is presented.•Combining a learning-based registration network with a segmentation…”
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Learning from pseudo-labels: deep networks improve consistency in longitudinal brain volume estimation by Zhan, Geng, Wang, Dongang, Cabezas, Mariano, Bai, Lei, Kyle, Kain, Ouyang, Wanli, Barnett, Michael, Wang, Chenyu

“…Brain atrophy is a critical biomarker of disease progression and treatment response in neurodegenerative diseases such as multiple sclerosis (MS). Confounding…”
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Detection of Invasive Species in Wetlands: Practical DL with Heavily Imbalanced Data by Cabezas, Mariano, Kentsch, Sarah, Tomhave, Luca, Gross, Jens, Caceres, Maximo Larry Lopez, Diez, Yago

“…Deep Learning (DL) has become popular due to its ease of use and accuracy, with Transfer Learning (TL) effectively reducing the number of images needed to…”
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A supervised framework with intensity subtraction and deformation field features for the detection of new T2-w lesions in multiple sclerosis by Salem, Mostafa, Cabezas, Mariano, Valverde, Sergi, Pareto, Deborah, Oliver, Arnau, Salvi, Joaquim, Rovira, Àlex, Lladó, Xavier

“…Longitudinal magnetic resonance imaging (MRI) analysis has an important role in multiple sclerosis diagnosis and follow-up. The presence of new T2-w lesions on…”
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Multiple Sclerosis Lesion Synthesis in MRI Using an Encoder-Decoder U-NET by Salem, Mostafa, Valverde, Sergi, Cabezas, Mariano, Pareto, Deborah, Oliver, Arnau, Salvi, Joaquim, Rovira, Alex, Llado, Xavier

“…Magnetic resonance imaging (MRI) synthesis has attracted attention due to its various applications in the medical imaging domain. In this paper, we propose…”
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Multiple sclerosis lesion segmentation: revisiting weighting mechanisms for federated learning by Liu, Dongnan, Cabezas, Mariano, Wang, Dongang, Tang, Zihao, Bai, Lei, Zhan, Geng, Luo, Yuling, Kyle, Kain, Ly, Linda, Yu, James, Shieh, Chun-Chien, Nguyen, Aria, Kandasamy Karuppiah, Ettikan, Sullivan, Ryan, Calamante, Fernando, Barnett, Michael, Ouyang, Wanli, Cai, Weidong, Wang, Chenyu

“…Federated learning (FL) has been widely employed for medical image analysis to facilitate multi-client collaborative learning without sharing raw data. Despite…”
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Editorial: AI processing of UAV acquired images for pattern monitoring in natural and urban environments by Diez Donoso, Yago, Gracias, Nuno, Cabezas, Mariano, Juergens, Carsten, Lopez Caceres, Maximo Larry

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Quantitative Analysis of Patch-Based Fully Convolutional Neural Networks for Tissue Segmentation on Brain Magnetic Resonance Imaging by Bernal, Jose, Kushibar, Kaisar, Cabezas, Mariano, Valverde, Sergi, Oliver, Arnau, Llado, Xavier

“…Accurate brain tissue segmentation in magnetic resonance imaging (MRI) has attracted the attention of medical doctors and researchers since variations in…”
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High angular diffusion tensor imaging estimation from minimal evenly distributed diffusion gradient directions by Tang, Zihao, Chen, Sheng, D’Souza, Arkiev, Liu, Dongnan, Calamante, Fernando, Barnett, Michael, Cai, Weidong, Wang, Chenyu, Cabezas, Mariano

“…Diffusion-weighted Imaging (DWI) is a non-invasive imaging technique based on Magnetic Resonance Imaging (MRI) principles to measure water diffusivity and…”
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