Maria A. Zuluaga
Orcid: 0000-0002-1147-766X
According to our database1,
Maria A. Zuluaga
authored at least 79 papers
between 2007 and 2024.
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Bibliography
2024
Improved Prediction of Recurrence After Prostate Cancer Radiotherapy Using Multimodal Data and in Silico simulations.
Proceedings of the Cancer Prevention, Detection, and Intervention - Third MICCAI Workshop, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
2023
Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge.
IEEE J. Biomed. Health Informatics, July, 2023
DAMP: accurate time series anomaly detection on trillions of datapoints and ultra-fast arriving data streams.
Data Min. Knowl. Discov., March, 2023
Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA.
CoRR, 2023
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
A2V: A Semi-Supervised Domain Adaptation Framework for Brain Vessel Segmentation via Two-Phase Training Angiography-to-Venography Translation.
Proceedings of the 34th British Machine Vision Conference 2023, 2023
2022
Pattern Recognit., 2022
Vessel-CAPTCHA: An efficient learning framework for vessel annotation and segmentation.
Medical Image Anal., 2022
Fairness and bias correction in machine learning for depression prediction: results from four different study populations.
CoRR, 2022
AI-based artistic representation of emotions from EEG signals: a discussion on fairness, inclusion, and aesthetics.
CoRR, 2022
Proceedings of the 30th International Symposium on Modeling, 2022
Matrix Profile XXIV: Scaling Time Series Anomaly Detection to Trillions of Datapoints and Ultra-fast Arriving Data Streams.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the Artificial Intelligence in Music, Sound, Art and Design, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
2021
CoRR, 2021
One-class Autoencoder Approach for Optimal Electrode Set-up Identification in Wearable EEG Event Monitoring.
CoRR, 2021
Vessel-CAPTCHA: an efficient learning framework for vessel annotation and segmentation.
CoRR, 2021
Using Out-of-Distribution Detection for Model Refinement in Cardiac Image Segmentation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 2021
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021
Proceedings of the Functional Imaging and Modeling of the Heart, 2021
One-class autoencoder approach for optimal electrode set identification in wearable EEG event monitoring<sup>*</sup>.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
From Univariate to Multivariate Time Series Anomaly Detection with Non-Local Information.
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Substantially thinner internal granular layer and reduced molecular layer surface in the cerebellar cortex of the Tc1 mouse model of down syndrome - a comprehensive morphometric analysis with active staining contrast-enhanced MRI.
NeuroImage, 2020
CoRR, 2020
CoRR, 2020
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
2019
IEEE Trans. Medical Imaging, 2019
IEEE Trans. Pattern Anal. Mach. Intell., 2019
Proceedings of the Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting, 2019
2018
Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning.
IEEE Trans. Medical Imaging, 2018
Understanding Customer Choices to Improve Recommendations in the Air Travel Industry.
Proceedings of the Workshop on Recommenders in Tourism, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Benchmarking Anomaly Detection Algorithms in an Industrial Context: Dealing with Scarce Labels and Multiple Positive Types.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
2017
Detecting Clinically Meaningful Shape Clusters in Medical Image Data: Metrics Analysis for Hierarchical Clustering Applied to Healthy and Pathological Aortic Arches.
IEEE Trans. Biomed. Eng., 2017
Automated multiple trajectory planning algorithm for the placement of stereo-electroencephalography (SEEG) electrodes in epilepsy treatment.
Int. J. Comput. Assist. Radiol. Surg., 2017
Proceedings of the Information Processing in Medical Imaging, 2017
2016
Slic-Seg: A minimally interactive segmentation of the placenta from sparse and motion-corrupted fetal MRI in multiple views.
Medical Image Anal., 2016
Automatic segmentation of 4D cardiac MR images for extraction of ventricular chambers using a spatio-temporal approach.
Proceedings of the Medical Imaging 2016: Image Processing, 2016
Strengths and Pitfalls of Whole-Heart Atlas-Based Segmentation in Congenital Heart Disease Patients.
Proceedings of the Reconstruction, Segmentation, and Analysis of Medical Images, 2016
Dynamically Balanced Online Random Forests for Interactive Scribble-Based Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Efficient Anatomy Driven Automated Multiple Trajectory Planning for Intracranial Electrode Implantation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
2015
IEEE Trans. Medical Imaging, 2015
Voxelwise atlas rating for computer assisted diagnosis: Application to congenital heart diseases of the great arteries.
Medical Image Anal., 2015
Medical Image Anal., 2015
Stability, structure and scale: improvements in multi-modal vessel extraction for SEEG trajectory planning.
Int. J. Comput. Assist. Radiol. Surg., 2015
Proceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging, 2015
Slic-Seg: Slice-by-Slice Segmentation Propagation of the Placenta in Fetal MRI Using One-Plane Scribbles and Online Learning.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2015
Multi-atlas synthesis for computer assisted diagnosis: Application to cardiovascular diseases.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Voronoi-based analysis of bone cell network from synchrotron radiation micro-CT images.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
2014
SEEG Trajectory Planning: Combining Stability, Structure and Scale in Vessel Extraction.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
The Empirical Variance Estimator for Computer Aided Diagnosis: Lessons for Algorithm Validation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
A Computer Assisted Planning System for the Placement of sEEG Electrodes in the Treatment of Epilepsy.
Proceedings of the Information Processing in Computer-Assisted Interventions, 2014
2013
Multi-atlas Propagation Whole Heart Segmentation from MRI and CTA Using a Local Normalised Correlation Coefficient Criterion.
Proceedings of the Functional Imaging and Modeling of the Heart, 2013
A new quantitative approach for estimating bone cell connections from nano-CT images.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Proceedings of the Computer Vision and Graphics - International Conference, 2012
2011
Evaluation framework for carotid bifurcation lumen segmentation and stenosis grading.
Medical Image Anal., 2011
Automatic detection of abnormal vascular cross-sections based on density level detection and support vector machines.
Int. J. Comput. Assist. Radiol. Surg., 2011
Learning from Only Positive and Unlabeled Data to Detect Lesions in Vascular CT Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
2010
Proceedings of the Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging, 2010
Can the Coronary Artery Centerline Extraction in Computed Tomography Images Be Improved by Use of a Partial Volume Model?
Proceedings of the Computer Vision and Graphics - International Conference, 2010
2009
Automated voxel-based 3D cortical thickness measurement in a combined Lagrangian-Eulerian PDE approach using partial volume maps.
Medical Image Anal., 2009
2008
Cortical thickness measurement from magnetic resonance images using partial volume estimation.
Proceedings of the Medical Imaging 2008: Image Processing, 2008
Improved cortical thickness measurement from MR images using partial volume estimation.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
2007
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007