Albert Montillo
Orcid: 0000-0002-4353-290X
According to our database1,
Albert Montillo
authored at least 44 papers
between 2002 and 2023.
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Bibliography
2023
Adversarially-Regularized Mixed Effects Deep Learning (ARMED) Models Improve Interpretability, Performance, and Generalization on Clustered (non-iid) Data.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023
BLENDS: Augmentation of Functional Magnetic Resonance Images for Machine Learning Using Anatomically Constrained Warping.
Brain Connect., March, 2023
Fairness-enhancing mixed effects deep learning improves fairness on in- and out-of-distribution clustered (non-iid) data.
CoRR, 2023
2022
Pitfalls and Recommended Strategies and Metrics for Suppressing Motion Artifacts in Functional MRI.
Neuroinformatics, 2022
UQ-ARMED: Uncertainty quantification of adversarially-regularized mixed effects deep learning for clustered non-iid data.
CoRR, 2022
DC and SA: Robust and Efficient Hyperparameter Optimization of Multi-subnetwork Deep Learning Models.
CoRR, 2022
Adversarially-regularized mixed effects deep learning (ARMED) models for improved interpretability, performance, and generalization on clustered data.
CoRR, 2022
2021
MEGnet: Automatic ICA-based artifact removal for MEG using spatiotemporal convolutional neural networks.
NeuroImage, 2021
2020
Anatomically informed data augmentation for functional MRI with applications to deep learning.
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Preoperative Prediction of Lymph Node Metastasis from Clinical DCE MRI of the Primary Breast Tumor Using a 4D CNN.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Architectural configurations, atlas granularity and functional connectivity with diagnostic value in Autism Spectrum Disorder.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Prediction of Individual Progression Rate in Parkinson's Disease Using Clinical Measures and Biomechanical Measures of Gait and Postural Stability.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
Proceedings of the Predictive Intelligence in Medicine - Second International Workshop, 2019
Deep learning convolutional neural networks for the estimation of liver fibrosis severity from ultrasound texture.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
Sensitivity of Derived Clinical Biomarkers to rs-fMRI Preprocessing Software Versions.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Multiple Deep Learning Architectures Achieve Superior Performance Diagnosing Autism Spectrum Disorder Using Features Previously Extracted From Structural And Functional Mri.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
2018
Quantifying the association between white matter integrity changes and subconcussive head impact exposure from a single season of youth and high school football using 3D convolutional neural networks.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Single season changes in resting state network power and the connectivity between regions distinguish head impact exposure level in high school and youth football players.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Determining the Optimal Number of MEG Trials: A Machine Learning and Speech Decoding Perspective.
Proceedings of the Brain Informatics - International Conference, 2018
2017
Automatic 1D convolutional neural network-based detection of artifacts in MEG acquired without electrooculography or electrocardiography.
Proceedings of the 2017 International Workshop on Pattern Recognition in Neuroimaging, 2017
Quantifying the Impact of Type 2 Diabetes on Brain Perfusion Using Deep Neural Networks.
Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017
Using Convolutional Neural Networks to Automatically Detect Eye-Blink Artifacts in Magnetoencephalography Without Resorting to Electrooculography.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Changes in resting state MRI networks from a single season of football distinguishes controls, low, and high head impact exposure.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Automatic identification of successful memory encoding in stereo-eeg of refractory, mesial temporal lobe epilepsy.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
2015
Hierarchical pictorial structures for simultaneously localizing multiple organs in volumetric pre-scan CT.
Proceedings of the Medical Imaging 2015: Image Processing, 2015
Overview of the 2015 Workshop on Medical Computer Vision - Algorithms for Big Data (MCV 2015).
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2015
2014
Overview of the 2014 Workshop on Medical Computer Vision - Algorithms for Big Data (MCV 2014).
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2014
2013
Parsing radiographs by integrating landmark set detection and multi-object active appearance models.
Proceedings of the Medical Imaging 2013: Image Processing, 2013
iSTAPLE: improved label fusion for segmentation by combining STAPLE with image intensity.
Proceedings of the Medical Imaging 2013: Image Processing, 2013
Accurate Whole-Brain Segmentation for Alzheimer's Disease Combining an Adaptive Statistical Atlas and Multi-atlas.
Proceedings of the Medical Computer Vision. Large Data in Medical Imaging, 2013
Organ Localization Using Joint AP/LAT View Landmark Consensus Detection and Hierarchical Active Appearance Models.
Proceedings of the Medical Computer Vision. Large Data in Medical Imaging, 2013
Proceedings of the Medical Computer Vision. Large Data in Medical Imaging, 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Accurate segmentation of brain images into 34 structures combining a non-stationary adaptive statistical atlas and a multi-atlas with applications to Alzheimer'S disease.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Brain tumor segmentation with symmetric texture and symmetric intensity-based decision forests.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
2011
Entangled Decision Forests and Their Application for Semantic Segmentation of CT Images.
Proceedings of the Information Processing in Medical Imaging, 2011
Combining Generative and Discriminative Models for Semantic Segmentation of CT Scans via Active Learning.
Proceedings of the Information Processing in Medical Imaging, 2011
2009
Proceedings of the International Conference on Image Processing, 2009
2005
2003
Proceedings of the Medical Imaging 2003: Image Processing, 2003
Automated Model-Based Segmentation of the Left and Right Ventricles in Tagged Cardiac MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003
2002
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2002