Fuzzy classificationof brain MRI using a priori knowledge: weighted fuzzy C-means. - Olivier Salvado; Pierrick Bourgeat; Oscar Acosta Tamayo; Maria A. Zuluaga; Sébastien Ourselin (ICCV, 2007)

Improved cortical thickness measurement from MR images using partial volume estimation. - Pierrick Bourgeat; Oscar Acosta; Maria A. Zuluaga; Jurgen Fripp; Olivier Salvado; Sébastien Ourselin (ISBI, 2008)

Cortical thickness measurement from magnetic resonance images using partial volume estimation. - Maria A. Zuluaga; Oscar Acosta; Pierrick Bourgeat; Marcela Hernández Hoyos; Olivier Salvado; Sébastien Ourselin (Image Processing, 2008)

Automated voxel-based 3D cortical thickness measurement in a combined Lagrangian-Eulerian PDE approach using partial volume maps. - Oscar Acosta; Pierrick Bourgeat; Maria A. Zuluaga; Jurgen Fripp; Olivier Salvado; Sébastien Ourselin (Medical Image Anal., 2009)

Can the Coronary Artery Centerline Extraction in Computed Tomography Images Be Improved by Use of a Partial Volume Model? - Maria A. Zuluaga; Edgar J. F. Delgado Leyton; Marcela Hernández Hoyos; Maciej Orkisz (ICCVG (2), 2010)

Feature Selection for SVM-Based Vascular Anomaly Detection. - Maria A. Zuluaga; Edgar J. F. Delgado Leyton; Marcela Hernández Hoyos; Maciej Orkisz (MCV, 2010)

Learning from Only Positive and Unlabeled Data to Detect Lesions in Vascular CT Images. - Maria A. Zuluaga; Don R. Hush; Edgar J. F. Delgado Leyton; Marcela Hernández Hoyos; Maciej Orkisz (MICCAI (3), 2011)

Automatic detection of abnormal vascular cross-sections based on density level detection and support vector machines. - Maria A. Zuluaga; Isabelle E. Magnin; Marcela Hernández Hoyos; Edgar J. F. Delgado Leyton; Fernando Lozano; Maciej Orkisz (Int. J. Comput. Assist. Radiol. Surg., 2011)

Evaluation framework for carotid bifurcation lumen segmentation and stenosis grading. - K. Hameeteman; Maria A. Zuluaga; Moti Freiman; Leo Joskowicz; Olivier Cuisenaire; Leonardo Floréz-Valencia; Mehmet Akif Gülsün; Karl Krissian; Julien Mille; Wilbur C. K. Wong; Maciej Orkisz; Hüseyin Tek; et al. (Medical Image Anal., 2011)

A Fast Lesion Registration to Assist Coronary Heart Disease Diagnosis in CTA Images. - Maria A. Zuluaga; Marcela Hernández Hoyos; Julio C. Dávila; Luis Felipe Uriza; Maciej Orkisz (ICCVG, 2012)

3D X-ray CT imaging of the bone Lacuno-Canalicular Network. - Françoise Peyrin; Alexandra Pacureanu; Maria Alejandra Zuluaga; Pei Dong; Max Langer (ISBI, 2012)

A new quantitative approach for estimating bone cell connections from nano-CT images. - Pei Dong; Alexandra Pacureanu; Maria A. Zuluaga; Cécile Olivier; Frédérique Frouin; Quentin Grimal; Françoise Peyrin (EMBC, 2013)

Multi-atlas Propagation Whole Heart Segmentation from MRI and CTA Using a Local Normalised Correlation Coefficient Criterion. - Maria A. Zuluaga; Manuel Jorge Cardoso; Marc Modat; Sébastien Ourselin (FIMH, 2013)

A Computer Assisted Planning System for the Placement of sEEG Electrodes in the Treatment of Epilepsy. - Gergely Zombori; Roman Rodionov; Mark Nowell; Maria A. Zuluaga; Matthew J. Clarkson; Caroline Micallef; Beate Diehl; Tim Wehner; A. Miserochi; Andrew W. McEvoy; John S. Duncan; Sébastien Ourselin (IPCAI, 2014)

Multi-atlas based pathological stratification of D-TGA congenital heart disease. - Maria A. Zuluaga; Alex F. Mendelson; Manuel Jorge Cardoso; Andrew Mayall Taylor; Sébastien Ourselin (ISBI, 2014)

The Empirical Variance Estimator for Computer Aided Diagnosis: Lessons for Algorithm Validation. - Alex F. Mendelson; Maria A. Zuluaga; Lennart Thurfjell; Brian F. Hutton; Sébastien Ourselin (MICCAI (2), 2014)

SEEG Trajectory Planning: Combining Stability, Structure and Scale in Vessel Extraction. - Maria A. Zuluaga; Roman Rodionov; Mark Nowell; Sufyan Achhala; Gergely Zombori; Manuel Jorge Cardoso; Anna Miserocchi; Andrew W. McEvoy; John S. Duncan; Sébastien Ourselin (MICCAI (2), 2014)

Voronoi-based analysis of bone cell network from synchrotron radiation micro-CT images. - Pei Dong; Sébastien Valette; Maria A. Zuluaga; Galateia J. Kazakia; Françoise Peyrin (ISBI, 2015)

Multi-atlas synthesis for computer assisted diagnosis: Application to cardiovascular diseases. - Maria A. Zuluaga; Ninon Burgos; Andrew Mayall Taylor; Sébastien Ourselin (ISBI, 2015)

Papillary Muscle Segmentation from a Multi-atlas Database: A Feasibility Study. - Benedetta Biffi; Maria A. Zuluaga; Sébastien Ourselin; Andrew Mayall Taylor; Silvia Schievano (STACOM@MICCAI, 2015)

Grey Matter Sublayer Thickness Estimation in the Mouse Cerebellum. - Da Ma; Manuel Jorge Cardoso; Maria A. Zuluaga; Marc Modat; Nick M. Powell; Frances K. Wiseman; Victor L. J. Tybulewicz; Elizabeth M. C. Fisher; Mark F. Lythgoe; Sébastien Ourselin (MICCAI (3), 2015)

Slic-Seg: Slice-by-Slice Segmentation Propagation of the Placenta in Fetal MRI Using One-Plane Scribbles and Online Learning. - Guotai Wang; Maria A. Zuluaga; Rosalind Pratt; Michael Aertsen; Anna L. David; Jan Deprest; Tom Vercauteren; Sébastien Ourselin (MICCAI (3), 2015)

Bolstering Heuristics for Statistical Validation of Prediction Algorithms. - Alex F. Mendelson; Maria A. Zuluaga; Brian F. Hutton; Sébastien Ourselin (PRNI, 2015)

Stability, structure and scale: improvements in multi-modal vessel extraction for SEEG trajectory planning. - Maria A. Zuluaga; Roman Rodionov; Mark Nowell; Sufyan Achhala; Gergely Zombori; Alex F. Mendelson; Manuel Jorge Cardoso; Anna Miserocchi; Andrew W. McEvoy; John S. Duncan; Sébastien Ourselin (Int. J. Comput. Assist. Radiol. Surg., 2015)

Right ventricle segmentation from cardiac MRI: A collation study. - Caroline Petitjean; Maria A. Zuluaga; Wenjia Bai; Jean-Nicolas Dacher; Damien Grosgeorge; Jérôme Caudron; Su Ruan; Ismail Ben Ayed; Manuel Jorge Cardoso; Hsiang-Chou Chen; Daniel Jimenez-Carretero; María J. Ledesma-Carbayo; et al. (Medical Image Anal., 2015)

Voxelwise atlas rating for computer assisted diagnosis: Application to congenital heart diseases of the great arteries. - Maria A. Zuluaga; Ninon Burgos; Alex F. Mendelson; Andrew Mayall Taylor; Sébastien Ourselin (Medical Image Anal., 2015)

Benchmark for Algorithms Segmenting the Left Atrium From 3D CT and MRI Datasets. - Catalina Tobon-Gomez; Arjan J. Geers; Jochen Peters; Jürgen Weese; Karen Pinto; Rashed Karim; Mohammed Ammar; Abdelaziz Daoudi; Ján Margeta; Zulma L. Sandoval; Birgit Stender; Yefeng Zheng 001; et al. (IEEE Trans. Medical Imaging, 2015)

Efficient Anatomy Driven Automated Multiple Trajectory Planning for Intracranial Electrode Implantation. - Rachel Sparks; Gergely Zombori; Roman Rodionov; Maria A. Zuluaga; Beate Diehl; Tim Wehner; Anna Miserocchi; Andrew W. McEvoy; John S. Duncan; Sébastien Ourselin (MICCAI (1), 2016)

Dynamically Balanced Online Random Forests for Interactive Scribble-Based Segmentation. - Guotai Wang; Maria A. Zuluaga; Rosalind Pratt; Michael Aertsen; Tom Doel; Maria Klusmann; Anna L. David; Jan Deprest; Tom Vercauteren; Sébastien Ourselin (MICCAI (2), 2016)

Strengths and Pitfalls of Whole-Heart Atlas-Based Segmentation in Congenital Heart Disease Patients. - Maria A. Zuluaga; Benedetta Biffi; Andrew Mayall Taylor; Silvia Schievano; Tom Vercauteren; Sébastien Ourselin (RAMBO+HVSMR@MICCAI, 2016)

Automatic segmentation of 4D cardiac MR images for extraction of ventricular chambers using a spatio-temporal approach. - Angélica Maria Atehortúa Labrador; Maria A. Zuluaga; Sébastien Ourselin; Diana Giraldo; Eduardo Romero 001 (Image Processing, 2016)

Slic-Seg: A minimally interactive segmentation of the placenta from sparse and motion-corrupted fetal MRI in multiple views. - Guotai Wang; Maria A. Zuluaga; Rosalind Pratt; Michael Aertsen; Tom Doel; Maria Klusmann; Anna L. David; Jan Deprest; Tom Vercauteren; Sébastien Ourselin (Medical Image Anal., 2016)

VTrails: Inferring Vessels with Geodesic Connectivity Trees. - Stefano Moriconi; Maria A. Zuluaga; Hans Rolf Jäger; Parashkev Nachev; Sébastien Ourselin; M. Jorge Cardoso (IPMI, 2017)

Automated multiple trajectory planning algorithm for the placement of stereo-electroencephalography (SEEG) electrodes in epilepsy treatment. - Rachel Sparks; Gergely Zombori; Roman Rodionov; Mark Nowell; Sjoerd B. Vos; Maria A. Zuluaga; Beate Diehl; Tim Wehner; Anna Miserocchi; Andrew W. McEvoy; John S. Duncan; Sébastien Ourselin (Int. J. Comput. Assist. Radiol. Surg., 2017)

Detecting Clinically Meaningful Shape Clusters in Medical Image Data: Metrics Analysis for Hierarchical Clustering Applied to Healthy and Pathological Aortic Arches. - Jan L. Bruse; Maria A. Zuluaga; Abbas Khushnood; Kristin McLeod; Hopewell N. Ntsinjana; Tain-Yen Hsia; Maxime Sermesant; Xavier Pennec; Andrew Mayall Taylor; Silvia Schievano (IEEE Trans. Biomed. Eng., 2017)

Benchmarking Anomaly Detection Algorithms in an Industrial Context: Dealing with Scarce Labels and Multiple Positive Types. - David Renaudie; Maria A. Zuluaga; Rodrigo Acuna-Agost (IEEE BigData, 2018)

Elastic Registration of Geodesic Vascular Graphs. - Stefano Moriconi; Maria A. Zuluaga; Hans Rolf Jäger; Parashkev Nachev; Sébastien Ourselin; M. Jorge Cardoso (MICCAI (1), 2018)

Understanding Customer Choices to Improve Recommendations in the Air Travel Industry. - Alejandro Mottini; Alix Lheritier; Rodrigo Acuna-Agost; Maria A. Zuluaga (RecTour@RecSys, 2018)

Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning. - Guotai Wang; Wenqi Li 001; Maria A. Zuluaga; Rosalind Pratt; Premal A. Patel; Michael Aertsen; Tom Doel; Anna L. David; Jan Deprest; Sébastien Ourselin; Tom Vercauteren (IEEE Trans. Medical Imaging, 2018)

Towards Quantifying Neurovascular Resilience. - Stefano Moriconi; Rafael Rehwald; Maria A. Zuluaga; Hans Rolf Jäger; Parashkev Nachev; Sébastien Ourselin; M. Jorge Cardoso (MLMECH/CVII-STENT@MICCAI, 2019)

Grey matter sublayer thickness estimation in themouse cerebellum. - Da Ma; Manuel Jorge Cardoso; Maria A. Zuluaga; Marc Modat; Nick M. Powell; Frances K. Wiseman; Victor L. J. Tybulewicz; Elizabeth M. C. Fisher; Mark F. Lythgoe; Sébastien Ourselin (CoRR, 2019)

DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation. - Guotai Wang; Maria A. Zuluaga; Wenqi Li 001; Rosalind Pratt; Premal A. Patel; Michael Aertsen; Tom Doel; Anna L. David; Jan Deprest; Sébastien Ourselin; Tom Vercauteren (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Inference of Cerebrovascular Topology With Geodesic Minimum Spanning Trees. - Stefano Moriconi; Maria A. Zuluaga; Hans Rolf Jäger; Parashkev Nachev; Sébastien Ourselin; M. Jorge Cardoso (IEEE Trans. Medical Imaging, 2019)

USAD: UnSupervised Anomaly Detection on Multivariate Time Series. - Julien Audibert; Pietro Michiardi; Frédéric Guyard; Sébastien Marti; Maria A. Zuluaga (KDD, 2020)

Model Monitoring and Dynamic Model Selection in Travel Time-Series Forecasting. - Rosa Candela; Pietro Michiardi; Maurizio Filippone; Maria A. Zuluaga (ECML/PKDD (4), 2020)

Multi-objective Consensus Clustering Framework for Flight Search Recommendation. - Sujoy Chatterjee; Nicolas Pasquier; Simon Nanty; Maria A. Zuluaga (CoRR, 2020)

Automatic Right Ventricle Segmentation using Multi-Label Fusion in Cardiac MRI. - Maria A. Zuluaga; M. Jorge Cardoso; Sébastien Ourselin (CoRR, 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. - Da Ma; Manuel Jorge Cardoso; Maria A. Zuluaga; Marc Modat; Nick M. Powell; Frances K. Wiseman; Jon O. Cleary; Benjamin Sinclair; Ian F. Harrison; Bernard Siow; Karteek Popuri; Sieun Lee; et al. (NeuroImage, 2020)

Maximum Roaming Multi-Task Learning. - Lucas Pascal; Pietro Michiardi; Xavier Bost; Benoit Huet; Maria A. Zuluaga (AAAI, 2021)

From Univariate to Multivariate Time Series Anomaly Detection with Non-Local Information. - Julien Audibert; Sébastien Marti; Frédéric Guyard; Maria A. Zuluaga (AALTD@ECML/PKDD, 2021)

One-class autoencoder approach for optimal electrode set identification in wearable EEG event monitoring*. - Laura M. Ferrari; Guy Abi Hanna; Paolo Volpe; Esma Ismailova; François Brémond; Maria A. Zuluaga (EMBC, 2021)

Efficient Model Monitoring for Quality Control in Cardiac Image Segmentation. - Francesco Galati; Maria A. Zuluaga (FIMH, 2021)

PANACEA Cough Sound-Based Diagnosis of COVID-19 for the DiCOVA 2021 Challenge. - Madhu R. Kamble; José Andrés González López; Teresa Grau; Juan M. Espín; Lorenzo Cascioli; Yiqing Huang; Alejandro Gómez Alanís; Jose Patino 001; Roberto Font; Antonio M. Peinado; Angel M. Gomez; Nicholas W. D. Evans; et al. (Interspeech, 2021)

Using Out-of-Distribution Detection for Model Refinement in Cardiac Image Segmentation. - Francesco Galati; Maria A. Zuluaga (STACOM@MICCAI, 2021)

Vessel-CAPTCHA: an efficient learning framework for vessel annotation and segmentation. - Vien Ngoc Dang; Giuseppe Di Giacomo; Viola Marconetto; Prateek Mathur; Rosa Cortese; Marco Lorenzi; Ferran Prados; Maria A. Zuluaga (CoRR, 2021)

One-class Autoencoder Approach for Optimal Electrode Set-up Identification in Wearable EEG Event Monitoring. - Laura M. Ferrari; Guy Abi Hanna; Paolo Volpe; Esma Ismailova; François Brémond; Maria A. Zuluaga (CoRR, 2021)

Optimization Strategies in Multi-Task Learning: Averaged or Separated Losses? - Lucas Pascal; Pietro Michiardi; Xavier Bost; Benoit Huet; Maria A. Zuluaga (CoRR, 2021)

Class-wise Thresholding for Detecting Out-of-Distribution Data. - Matteo Guarrera; Baihong Jin; Tung-Wei Lin; Maria A. Zuluaga; Yuxin Chen 001; Alberto L. Sangiovanni-Vincentelli (CoRR, 2021)

Class-wise Thresholding for Robust Out-of-Distribution Detection. - Matteo Guarrera; Baihong Jin; Tung-Wei Lin; Maria A. Zuluaga; Yuxin Chen 001; Alberto L. Sangiovanni-Vincentelli (CVPR Workshops, 2022)

Translating Emotions from EEG to Visual Arts. - Piera Riccio; Francesco Galati; Maria A. Zuluaga; Juan Carlos De Martin; Stefano Nichele (EvoMUSART, 2022)

Exploring Auditory Acoustic Features for The Diagnosis of Covid-19. - Madhu R. Kamble; Jose Patino 001; Maria A. Zuluaga; Massimiliano Todisco (ICASSP, 2022)

Matrix Profile XXIV: Scaling Time Series Anomaly Detection to Trillions of Datapoints and Ultra-fast Arriving Data Streams. - Yue Lu 003; Renjie Wu 001; Abdullah Mueen; Maria A. Zuluaga; Eamonn J. Keogh (KDD, 2022)

DTS: A Simulator to Estimate the Training Time of Distributed Deep Neural Networks. - Wilfredo Joshua Robinson Moore; Flavio Esposito; Maria A. Zuluaga (MASCOTS, 2022)

AI-based artistic representation of emotions from EEG signals: a discussion on fairness, inclusion, and aesthetics. - Piera Riccio; Kristin Bergaust; Boel Christensen-Scheel; Juan Carlos De Martin; Maria A. Zuluaga; Stefano Nichele (CoRR, 2022)

Sparsifying Binary Networks. - Riccardo Schiavone; Maria A. Zuluaga (CoRR, 2022)

Fairness and bias correction in machine learning for depression prediction: results from four different study populations. - Vien Ngoc Dang; Anna Cascarano; Rosa H. Mulder; Charlotte Cecil; Maria A. Zuluaga; Jerónimo Hernández-González; Karim Lekadir (CoRR, 2022)

Vessel-CAPTCHA: An efficient learning framework for vessel annotation and segmentation. - Vien Ngoc Dang; Francesco Galati; Rosa Cortese; Giuseppe Di Giacomo; Viola Marconetto; Prateek Mathur; Karim Lekadir; Marco Lorenzi; Ferran Prados; Maria A. Zuluaga (Medical Image Anal., 2022)

Do deep neural networks contribute to multivariate time series anomaly detection? - Julien Audibert; Pietro Michiardi; Frédéric Guyard; Sébastien Marti; Maria A. Zuluaga (Pattern Recognit., 2022)

A2V: A Semi-Supervised Domain Adaptation Framework for Brain Vessel Segmentation via Two-Phase Training Angiography-to-Venography Translation. - Francesco Galati; Daniele Falcetta; Rosa Cortese; Barbara Casolla; Ferran Prados; Ninon Burgos; Maria A. Zuluaga (BMVC, 2023)

Job-VS: Joint Brain-Vessel Segmentation in TOF-MRA Images. - Natalia Valderrama; Ioannis Pitsiorlas; Luisa Vargas; Pablo Arbeláez; Maria A. Zuluaga (ISBI, 2023)

StressID: a Multimodal Dataset for Stress Identification. - Hava Chaptoukaev; Valeriya Strizhkova; Michele Panariello; Bianca Dalpaos; Aglind Reka; Valeria Manera; Susanne Thümmler; Esma Ismailova; Nicholas W. D. Evans; François Brémond; Massimiliano Todisco; Maria A. Zuluaga; et al. (NeurIPS, 2023)

Binary Domain Generalization for Sparsifying Binary Neural Networks. - Riccardo Schiavone; Francesco Galati; Maria A. Zuluaga (ECML/PKDD (2), 2023)

Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA. - Kaiyuan Yang 003; Fabio Musio; Yihui Ma; Norman Juchler; Johannes C. Paetzold; Rami Al-Maskari; Luciano Höher; Hongwei Bran Li; Ibrahim Ethem Hamamci; Anjany Sekuboyina; Suprosanna Shit; Houjing Huang; et al. (CoRR, 2023)

DAMP: accurate time series anomaly detection on trillions of datapoints and ultra-fast arriving data streams. - Yue Lu 003; Renjie Wu 001; Abdullah Mueen; Maria A. Zuluaga; Eamonn J. Keogh (Data Min. Knowl. Discov., 2023)

Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge. - Carlos Martín-Isla; Víctor M. Campello; Cristian Izquierdo; Kaisar Kushibar; Carla Sendra-Balcells; Polyxeni Gkontra; Alireza Sojoudi; Mitchell J. Fulton; Tewodros Weldebirhan Arega; Kumaradevan Punithakumar; Lei Li 020; Xiaowu Sun; et al. (IEEE J. Biomed. Health Informatics, 2023)

MVP: Multimodal Emotion Recognition Based on Video and Physiological Signals. - Valeriya Strizhkova; Hadi Kachmar; Hava Chaptoukaev; Raphael Kalandadze; Natia Kukhilava; Tatia Tsmindashvili; Nibras Abo-Alzahab; Maria A. Zuluaga; Michal Balazia; Antitza Dantcheva; François Brémond; Laura M. Ferrari (ECCV Workshops (15), 2024)

HyperMM: Robust Multimodal Learning with Varying-Sized Inputs. - Hava Chaptoukaev; Vincenzo Marcianó; Francesco Galati; Maria A. Zuluaga (LDTM/MMMI/ML4MHD/ML-CDS@MICCAI, 2024)

Federated Multi-centric Image Segmentation with Uneven Label Distribution. - Francesco Galati; Rosa Cortese; Ferran Prados; Marco Lorenzi; Maria A. Zuluaga (MICCAI (10), 2024)

Differentiable Soft Morphological Filters for Medical Image Segmentation. - Lisa Guzzi; Maria A. Zuluaga; Fabien Lareyre; Gilles Di Lorenzo; Sébastien Goffart; Andrea Chierici; Juliette Raffort; Hervé Delingette (MICCAI (8), 2024)

Improved Prediction of Recurrence After Prostate Cancer Radiotherapy Using Multimodal Data and in Silico simulations. - Valentin Septiers; Carlos Sosa Marrero; Renaud de Crevoisier; Aurélien Briens; Hilda Chourak; Maria A. Zuluaga; Oscar Acosta (CaPTion@MICCAI, 2024)

SMILE-UHURA Challenge - Small Vessel Segmentation at Mesoscopic Scale from Ultra-High Resolution 7T Magnetic Resonance Angiograms. - Soumick Chatterjee; Hendrik Mattern; Marc Dörner; Alessandro Sciarra; Florian Dubost; Hannes Schnurre; Rupali Khatun; Chun-Chih Yu; Tsung-Lin Hsieh; Yi-Shan Tsai; Yi-Zeng Fang; Yung-Ching Yang; et al. (CoRR, 2024)

In the Picture: Medical Imaging Datasets, Artifacts, and their Living Review. - Amelia Jiménez-Sánchez; Natalia Rozalia Avlona; Sarah de Boer; Víctor M. Campello; Aasa Feragen; Enzo Ferrante; Melanie Ganz; Judy Wawira Gichoya; Camila González; Steff Groefsema; Alessa Hering; Adam Hulman; et al. (FAccT, 2025)