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)

Lesion segmentation and bias correction in breast ultrasound B-mode images including elastography information. - Gerard Pons 002; Joan Martí; Robert Marti; Mariano Cabezas; Andrew Di Battista; J. Alison Noble (Image Processing, 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)

A Supervised Approach for Multiple Sclerosis Lesion Segmentation Using Context Features and an Outlier Map. - Mariano Cabezas; Arnau Oliver; Jordi Freixenet; Xavier Lladó (IbPRIA, 2013)

Atlas-based segmentation of multiple sclerosis lesions in magnetic resonance imaging. - Mariano Cabezas (2013)

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)

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)

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)

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 (Image Processing, 2016)

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)

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)

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)

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge. - Spyridon Bakas; Mauricio Reyes 001; András Jakab; Stefan Bauer; Markus Rempfler; Alessandro Crimi; Russell Takeshi Shinohara; Christoph Berger; Sung Min Ha; Martin Rozycki; Marcel Prastawa; Esther Alberts; et al. (CoRR, 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)

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)

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)

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)

LG-Net: Lesion Gate Network for Multiple Sclerosis Lesion Inpainting. - Zihao Tang; Mariano Cabezas; Dongnan Liu; Michael Barnett 006; Weidong Cai 001; Chenyu Wang 001 (MICCAI (7), 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; et al. (CoRR, 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)

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)

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)

Diffusion MRI Fibre Orientation Distribution Inpainting. - Zihao Tang; Xinyi Wang; Mariano Cabezas; Arkiev D'Souza; Fernando Calamante; Dongnan Liu; Michael Barnett 006; Chenyu Wang 001; Tom Weidong Cai (CDMRI@MICCAI, 2022)

MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated Learning. - Dongnan Liu; Mariano Cabezas; Dongang Wang; Zihao Tang; Lei Bai 001; Geng Zhan; Yuling Luo; Kain Kyle; Linda Ly; James Yu; Chun-Chien Shieh; Aria Nguyen; et al. (CoRR, 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 006; Weidong Cai 001; Chenyu Wang 001 (CoRR, 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)

Multiple Sclerosis Lesion Analysis in Brain Magnetic Resonance Images: Techniques and Clinical Applications. - Yang Ma; Chaoyi Zhang; Mariano Cabezas; Yang Song 001; Zihao Tang; Dongnan Liu; Weidong Cai 001; Michael Barnett 006; Chenyu Wang 001 (IEEE J. Biomed. Health Informatics, 2022)

Understanding the Role of Saliency Maps for Biomarker Research in 3D Medical Imaging Classification. - Yixiong Shi; Chenyu Wang 001; Dongnan Liu; Weidong Cai 001; Mariano Cabezas (DICTA, 2023)

Precise Few-Shot Fat-Free Thigh Muscle Segmentation in T1-Weighted MRI. - Sheng Chen; Zihao Tang; Dongnan Liu; Ché Fornusek; Michael Barnett 006; Chenyu Wang 001; Mariano Cabezas; Weidong Cai 001 (ISBI, 2023)

Fed-CoT: Co-teachers for Federated Semi-supervised MS Lesion Segmentation. - Geng Zhan; Jiajun Deng; Mariano Cabezas; Wanli Ouyang; Michael Barnett 006; Chenyu Wang 001 (ISIC/Care-AI/MedAGI/DeCaF@MICCAI, 2023)

A real-world clinical validation for AI-based MRI monitoring in multiple sclerosis. - Michael Barnett 006; Dongang Wang; Heidi Beadnall; Antje Bischof; David Brunacci; Helmut Butzkueven; J. William L. Brown; Mariano Cabezas; Tilak Das; Tej Dugal; Daniel Guilfoyle; Alexander Klistorner; et al. (npj Digit. Medicine, 2023)

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 006; Fernando Calamante; Weidong Cai 001; Chenyu Wang 001 (ICONIP (4), 2024)

Predicting Human Brain States with Transformer. - Yifei Sun; Mariano Cabezas; Jiah Lee; Chenyu Wang 001; Wei Zhang 090; Fernando Calamante; Jinglei Lv (LDTM/MMMI/ML4MHD/ML-CDS@MICCAI, 2024)

Fibre Population-guided Pre-training for 3D Spatial Super-Resolution on Multimodal Brain Diffusion MR Imaging. - Zihao Tang; Xinyi Wang; Mariano Cabezas; Arkiev D'Souza; Michael Barnett 006; Fernando Calamante; Weidong Cai 001; Chenyu Wang 001 (MMAsia, 2024)

Improving multiple sclerosis lesion segmentation across clinical sites: A federated learning approach with noise-resilient training. - Lei Bai 001; Dongang Wang; Hengrui Wang; Michael Barnett 006; Mariano Cabezas; Weidong Cai 001; Fernando Calamante; Kain Kyle; Dongnan Liu; Linda Ly; Aria Nguyen; Chun-Chien Shieh; et al. (Artif. Intell. Medicine, 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; et al. (CoRR, 2024)

A benchmark for 2D foetal brain ultrasound analysis. - Mariano Cabezas; Yago Diez; Clara Martinez-Diago; Anna Maroto (CoRR, 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)

An Analysis of Loss Functions for Heavily Imbalanced Lesion Segmentation. - Mariano Cabezas; Yago Diez (Sensors, 2024)

UFREE: Unified Fiber Orientation Distribution Resolution Enhancement. - Xinyi Wang; Kunze Wang; Zihao Tang; Mariano Cabezas; Chenyu Wang 001; Tom Weidong Cai (ISBI, 2025)

From Promise to Practical Reality: Transforming Diffusion MRI Analysis with Fast Deep Learning Enhancement. - Xinyi Wang; Michael Barnett 006; Frederique Boonstra; Yael Barnett; Mariano Cabezas; Arkiev D'Souza; Matthew C. Kiernan; Kain Kyle; Meng Law; Lynette Masters; Zihao Tang; Stephen Tisch; et al. (CoRR, 2025)