Maria A. Zuluaga

Professor

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I am a senior lecturer at EURECOM with an affiliate position within the School of Biomedical Engineering & Imaging Sciences at King’s College London (Visiting Senior Lecturer). Previous to these, I had a brief experience as an industrial researcher and I was a Senior Research Associate at University College London.

I obtained my BSc in Electronics Engineering and MSc in Computer Science at Universidad del Valle and Universidad de los Andes, respectively, in Colombia. I hold a PhD in Signal and Image Processing from Université de Lyon.

Within my research team, we focus on the development of novel machine learning methods from multi-modal data that can be safely used to advance healthcare research and improve clinical practice. From an application standpoint, we aim to answer questions coming from neurovascular and cardiovascular imaging, as well as cancer research.was awarded an ERC Consolidator Grant in 2024.


Maria A.’s Publications

In the Picture: Medical Imaging Datasets, Artifacts, and their Living Review

In the Picture: Medical Imaging Datasets, Artifacts, and their Living Review
Amelia Jimenez-Sanchez, Natalia Rozalia Avlona, Sarah de Boer, Victor M. Campello, Aasa Feragen, Enzo Ferrante, Melanie Ganz, Judy Wawira Gichoya, Camila Gonzalez, Steff Groefsema, Alessa Hering, Adam Hulman, Leo Joskowicz, Dovile Juodelyte, Melih Kandemir, Thijs Kooi, Jorge del Pozo Lerida, Livie Yumeng Li, Andre Pacheco, Tim Radsch, Mauricio Reyes, Theo Sourget, Bram van Ginneken, David Wen, Nina Weng, Jack Junchi Xu, Hubert Dariusz Zajac, Maria A. Zuluaga, Veronika Cheplygina
CoRR (2025)

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MVP: Multimodal Emotion Recognition based on Video and Physiological Signals

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, Franccois Bremond, Laura M. Ferrari
CoRR (2025)

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SMILE-UHURA Challenge - Small Vessel Segmentation at Mesoscopic Scale from Ultra-High Resolution 7T Magnetic Resonance Angiograms

SMILE-UHURA Challenge - Small Vessel Segmentation at Mesoscopic Scale from Ultra-High Resolution 7T Magnetic Resonance Angiograms
Soumick Chatterjee, Hendrik Mattern, Marc Dorner, Alessandro Sciarra, Florian Dubost, Hannes Schnurre, Rupali Khatun, Chun-Chih Yu, Tsung-Lin Hsieh, Yi-Shan Tsai, Yi-Zeng Fang, Yung-Ching Yang, Juinn-Dar Huang, Marshall Xu, Siyu Liu, Fernanda L. Ribeiro, Saskia Bollmann, Karthikesh Varma Chintalapati, Chethan Radhakrishna, Sri Chandana Hudukula Ram Kumar, Raviteja Sutrave, Abdul Qayyum, Moona Mazher, Imran Razzak, Cristobal Rodero, Steven Niederren, Fengming Lin, Yan Xia, Jiacheng Wang, Riyu Qiu, Liansheng Wang, Arya Yazdan Panah, Rosana El Jurdi, Guanghui Fu, Janan Arslan, Ghislain Vaillant, Romain Valabr`egue, Didier Dormont, Bruno Stankoff, Olivier Colliot, Luisa Vargas, Isai Daniel Chacon, Ioannis Pitsiorlas, Pablo Arbelaez, Maria A. Zuluaga, Stefanie Schreiber, Oliver Speck, Andreas Nurnberger
CoRR (2024)

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HyperMM : Robust Multimodal Learning with Varying-sized Inputs

HyperMM : Robust Multimodal Learning with Varying-sized Inputs
Hava Chaptoukaev, Vincenzo Marciano, Francesco Galati, Maria A. Zuluaga
CoRR (2024)

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Federated Multi-centric Image Segmentation with Uneven Label Distribution
Francesco Galati, Rosa Cortese, Ferran Prados, Marco Lorenzi, Maria A. Zuluaga
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part X (2024)

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Improved Prediction of Recurrence After Prostate Cancer Radiotherapy Using Multimodal Data and in Silico simulations
Valentin Septiers, Carlos Sosa Marrero, Renaud de Crevoisier, Aurelien Briens, Hilda Chourak, Maria A. Zuluaga, Oscar Acosta
Cancer Prevention, Detection, and Intervention - Third MICCAI Workshop, CaPTion 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings (2024)

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Differentiable Soft Morphological Filters for Medical Image Segmentation
Lisa Guzzi, Maria A. Zuluaga, Fabien Lareyre, Gilles Di Lorenzo, Sebastien Goffart, Andrea Chierici, Juliette Raffort, Herve Delingette
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part VIII (2024)

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Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA

Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA
Kaiyuan Yang, Fabio Musio, Yihui Ma, Norman Juchler, Johannes C. Paetzold, Rami Al-Maskari, Luciano Hoher, Hongwei Bran Li, Ibrahim Ethem Hamamci, Anjany Sekuboyina, Suprosanna Shit, Houjing Huang, Diana Waldmannstetter, Florian Kofler, Fernando Navarro, Martin J. Menten, Ivan Ezhov, Daniel Rueckert, Iris N. Vos, Ynte M. Ruigrok, Birgitta K. Velthuis, Hugo J. Kuijf, Julien Hammerli, Catherine Wurster, Philippe Bijlenga, Laura Westphal, Jeroen Bisschop, Elisa Colombo, Hakim Baazaoui, Andrew Makmur, James Hallinan, Benedikt Wiestler, Jan S. Kirschke, Roland Wiest, Emmanuel Montagnon, Laurent Letourneau-Guillon, Adrian Galdran, Francesco Galati, Daniele Falcetta, Maria A. Zuluaga, Chaolong Lin, Haoran Zhao, Zehan Zhang, Sinyoung Ra, Jongyun Hwang, Hyunjin Park, Junqiang Chen, Marek Wodzinski, Henning Muller, et al.
CoRR (2023)

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Binary Domain Generalization for Sparsifying Binary Neural Networks
Riccardo Schiavone, Francesco Galati, Maria A. Zuluaga
Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part II (2023)

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StressID: a Multimodal Dataset for Stress Identification

StressID: a Multimodal Dataset for Stress Identification
Hava Chaptoukaev, Valeriya Strizhkova, Michele Panariello, Bianca Dalpaos, Aglind Reka, Valeria Manera, Susanne Thummler, Esma Ismailova, Nicholas W. D. Evans, Franccois Bremond, Massimiliano Todisco, Maria A. Zuluaga, Laura M. Ferrari
Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023 (2023)

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Job-VS: Joint Brain-Vessel Segmentation in TOF-MRA Images

Job-VS: Joint Brain-Vessel Segmentation in TOF-MRA Images
Natalia Valderrama, Ioannis Pitsiorlas, Luisa Vargas, Pablo Arbelaez, Maria A. Zuluaga
20th IEEE International Symposium on Biomedical Imaging, ISBI 2023, Cartagena, Colombia, April 18-21, 2023 (2023)

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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
34th British Machine Vision Conference 2023, BMVC 2023, Aberdeen, UK, November 20-24, 2023 (2023)

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Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M Ms Challenge

Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M Ms Challenge
Carlos Martin-Isla, Victor M. Campello, Cristian Izquierdo, Kaisar Kushibar, Carla Sendra-Balcells, Polyxeni Gkontra, Alireza Sojoudi, Mitchell J. Fulton, Tewodros Weldebirhan Arega, Kumaradevan Punithakumar, Lei Li, Xiaowu Sun, Yasmina Al Khalil, Di Liu, Sana Jabbar, Sandro F. Queiros, Francesco Galati, Moona Mazher, Zheyao Gao, Marcel Beetz, Lennart Tautz, Christoforos Galazis, Marta Varela, Markus Hullebrand, Vicente Grau, Xiahai Zhuang, Domenec Puig, Maria A. Zuluaga, Hassan Mohy-ud-Din, Dimitris N. Metaxas, Marcel Breeuwer, Rob J. van der Geest, Michelle Noga, Stephanie Bricq, Mark E. Rentschler, Andrea Guala, Steffen E. Petersen, Sergio Escalera, Jose F. Rodriguez Palomares, Karim Lekadir
IEEE J. Biomed. Health Informatics (2023)

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

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Fairness and bias correction in machine learning for depression prediction: results from four different study populations

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, Jeronimo Hernandez-Gonzalez, Karim Lekadir
CoRR (2022)

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Sparsifying Binary Networks

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

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AI-based artistic representation of emotions from EEG signals: a discussion on fairness, inclusion, and aesthetics

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)

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Exploring auditory acoustic features for the diagnosis of the Covid-19

Exploring auditory acoustic features for the diagnosis of the Covid-19
Madhu R. Kamble, Jose Patino, Maria A. Zuluaga, Massimiliano Todisco
CoRR (2022)

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DTS: A Simulator to Estimate the Training Time of Distributed Deep Neural Networks
Wilfredo Joshua Robinson Moore, Flavio Esposito, Maria A. Zuluaga
30th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, MASCOTS 2022, Nice, France, October 18-20, 2022 (2022)

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Matrix Profile XXIV: Scaling Time Series Anomaly Detection to Trillions of Datapoints and Ultra-fast Arriving Data Streams

Matrix Profile XXIV: Scaling Time Series Anomaly Detection to Trillions of Datapoints and Ultra-fast Arriving Data Streams
Yue Lu, Renjie Wu, Abdullah Mueen, Maria A. Zuluaga, Eamonn J. Keogh
KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14 - 18, 2022 (2022)

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Exploring Auditory Acoustic Features for The Diagnosis of Covid-19

Exploring Auditory Acoustic Features for The Diagnosis of Covid-19
Madhu R. Kamble, Jose Patino, Maria A. Zuluaga, Massimiliano Todisco
IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2022, Virtual and Singapore, 23-27 May 2022 (2022)

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Translating Emotions from EEG to Visual Arts
Piera Riccio, Francesco Galati, Maria A. Zuluaga, Juan Carlos De Martin, Stefano Nichele
Artificial Intelligence in Music, Sound, Art and Design - 11th International Conference, EvoMUSART 2022, Held as Part of EvoStar 2022, Madrid, Spain, April 20-22, 2022, Proceedings (2022)

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Class-wise Thresholding for Robust Out-of-Distribution Detection

Class-wise Thresholding for Robust Out-of-Distribution Detection
Matteo Guarrera, Baihong Jin, Tung-Wei Lin, Maria A. Zuluaga, Yuxin Chen, Alberto L. Sangiovanni-Vincentelli
IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2022, New Orleans, LA, USA, June 19-20, 2022 (2022)

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

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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)

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Class-wise Thresholding for Detecting Out-of-Distribution Data

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

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Optimization Strategies in Multi-Task Learning: Averaged or Separated Losses?

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

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One-class Autoencoder Approach for Optimal Electrode Set-up Identification in Wearable EEG Event Monitoring

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, Franccois Bremond, Maria A. Zuluaga
CoRR (2021)

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Using Out-of-Distribution Detection for Model Refinement in Cardiac Image Segmentation
Francesco Galati, Maria A. Zuluaga
Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge - 12th International Workshop, STACOM@MICCAI 2021, Strasbourg, France, September 27, 2021, Revised Selected Papers (2021)

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PANACEA Cough Sound-Based Diagnosis of COVID-19 for the DiCOVA 2021 Challenge
Madhu R. Kamble, Jose Andres Gonzalez Lopez, Teresa Grau, Juan M. Espin, Lorenzo Cascioli, Yiqing Huang, Alejandro Gomez Alanis, Jose Patino, Roberto Font, Antonio M. Peinado, Angel M. Gomez, Nicholas W. D. Evans, Maria A. Zuluaga, Massimiliano Todisco
22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30 - September 3, 2021 (2021)

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Efficient Model Monitoring for Quality Control in Cardiac Image Segmentation
Francesco Galati, Maria A. Zuluaga
Functional Imaging and Modeling of the Heart - 11th International Conference, FIMH 2021, Stanford, CA, USA, June 21-25, 2021, Proceedings (2021)

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One-class autoencoder approach for optimal electrode set identification in wearable EEG event monitoring^

One-class autoencoder approach for optimal electrode set identification in wearable EEG event monitoring^
Laura M. Ferrari, Guy Abi Hanna, Paolo Volpe, Esma Ismailova, Franccois Bremond, Maria A. Zuluaga
43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2021, Mexico, November 1-5, 2021 (2021)

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From Univariate to Multivariate Time Series Anomaly Detection with Non-Local Information
Julien Audibert, Sebastien Marti, Frederic Guyard, Maria A. Zuluaga
Advanced Analytics and Learning on Temporal Data - 6th ECML PKDD Workshop, AALTD 2021, Bilbao, Spain, September 13, 2021, Revised Selected Papers (2021)

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Maximum Roaming Multi-Task Learning
Lucas Pascal, Pietro Michiardi, Xavier Bost, Benoit Huet, Maria A. Zuluaga
Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021 (2021)

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Automatic Right Ventricle Segmentation using Multi-Label Fusion in Cardiac MRI

Automatic Right Ventricle Segmentation using Multi-Label Fusion in Cardiac MRI
Maria A. Zuluaga, M. Jorge Cardoso, Sebastien Ourselin
CoRR (2020)

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Multi-objective Consensus Clustering Framework for Flight Search Recommendation

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

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Model Monitoring and Dynamic Model Selection in Travel Time-Series Forecasting
Rosa Candela, Pietro Michiardi, Maurizio Filippone, Maria A. Zuluaga
Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track - European Conference, ECML PKDD 2020, Ghent, Belgium, September 14-18, 2020, Proceedings, Part IV (2020)

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USAD: UnSupervised Anomaly Detection on Multivariate Time Series

USAD: UnSupervised Anomaly Detection on Multivariate Time Series
Julien Audibert, Pietro Michiardi, Frederic Guyard, Sebastien Marti, Maria A. Zuluaga
KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, CA, USA, August 23-27, 2020 (2020)

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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, Joanne A. Matsubara, Marinko V. Sarunic, Mirza Faisal Beg, Victor L. J. Tybulewicz, Elizabeth M. C. Fisher, Mark F. Lythgoe, Sebastien Ourselin
NeuroImage (2020)

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Towards Quantifying Neurovascular Resilience
Stefano Moriconi, Rafael Rehwald, Maria A. Zuluaga, Hans Rolf Jager, Parashkev Nachev, Sebastien Ourselin, M. Jorge Cardoso
Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting - First International Workshop, MLMECH 2019, and 8th Joint International Workshop, CVII-STENT 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings (2019)

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Inference of Cerebrovascular Topology With Geodesic Minimum Spanning Trees

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

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DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation

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

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Understanding Customer Choices to Improve Recommendations in the Air Travel Industry

Understanding Customer Choices to Improve Recommendations in the Air Travel Industry
Alejandro Mottini, Alix Lheritier, Rodrigo Acuna-Agost, Maria A. Zuluaga
Proceedings of the Workshop on Recommenders in Tourism, RecTour 2018, co-located with the 12th ACM Conference on Recommender Systems (RecSys 2018), Vancouver, Canada, October 7, 2018 (2018)

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Elastic Registration of Geodesic Vascular Graphs
Stefano Moriconi, Maria A. Zuluaga, Hans Rolf Jager, Parashkev Nachev, Sebastien Ourselin, M. Jorge Cardoso
Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I (2018)

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Benchmarking Anomaly Detection Algorithms in an Industrial Context: Dealing with Scarce Labels and Multiple Positive Types

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 International Conference on Big Data (IEEE BigData 2018), Seattle, WA, USA, December 10-13, 2018 (2018)

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Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning

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

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Interactive Medical Image Segmentation using Deep Learning with Image-specific Fine-tuning

Interactive Medical Image Segmentation using Deep Learning with Image-specific Fine-tuning
Guotai Wang, Wenqi Li, Maria A. Zuluaga, Rosalind Pratt, Premal A. Patel, Michael Aertsen, Tom Doel, Anna L. David, Jan Deprest, Sebastien Ourselin, Tom Vercauteren
CoRR (2017)

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Detecting Clinically Meaningful Shape Clusters in Medical Image Data: Metrics Analysis for Hierarchical Clustering Applied to Healthy and Pathological Aortic Arches

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)

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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, Sebastien Ourselin
Int. J. Comput. Assist. Radiol. Surg. (2017)

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VTrails: Inferring Vessels with Geodesic Connectivity Trees
Stefano Moriconi, Maria A. Zuluaga, Hans Rolf Jager, Parashkev Nachev, Sebastien Ourselin, M. Jorge Cardoso
Information Processing in Medical Imaging - 25th International Conference, IPMI 2017, Boone, NC, USA, June 25-30, 2017, Proceedings (2017)

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Automatic segmentation of 4D cardiac MR images for extraction of ventricular chambers using a spatio-temporal approach
Angelica Maria Atehortua Labrador, Maria A. Zuluaga, Sebastien Ourselin, Diana Giraldo, Eduardo Romero
Medical Imaging 2016: Image Processing, San Diego, California, USA, February 27, 2016 (2016)

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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, Sebastien Ourselin
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part I (2016)

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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, Sebastien Ourselin
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part II (2016)

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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, Sebastien Ourselin
Reconstruction, Segmentation, and Analysis of Medical Images - First International Workshops, RAMBO 2016 and HVSMR 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers (2016)

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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, Sebastien Ourselin
Medical Image Anal. (2016)

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Bolstering Heuristics for Statistical Validation of Prediction Algorithms
Alex F. Mendelson, Maria A. Zuluaga, Brian F. Hutton, Sebastien Ourselin
2015 International Workshop on Pattern Recognition in NeuroImaging, Stanford, CA, USA, June 10-12, 2015 (2015)

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Papillary Muscle Segmentation from a Multi-atlas Database: A Feasibility Study
Benedetta Biffi, Maria A. Zuluaga, Sebastien Ourselin, Andrew Mayall Taylor, Silvia Schievano
Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges - 6th International Workshop, STACOM 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 9, 2015, Revised Selected Papers (2015)

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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, Sebastien Ourselin
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5 - 9, 2015, Proceedings, Part III (2015)

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Voronoi-based analysis of bone cell network from synchrotron radiation micro-CT images

Voronoi-based analysis of bone cell network from synchrotron radiation micro-CT images
Pei Dong, Sebastien Valette, Maria A. Zuluaga, Galateia J. Kazakia, Franccoise Peyrin
12th IEEE International Symposium on Biomedical Imaging, ISBI 2015, Brooklyn, NY, USA, April 16-19, 2015 (2015)

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Multi-atlas synthesis for computer assisted diagnosis: Application to cardiovascular diseases

Multi-atlas synthesis for computer assisted diagnosis: Application to cardiovascular diseases
Maria A. Zuluaga, Ninon Burgos, Andrew Mayall Taylor, Sebastien Ourselin
12th IEEE International Symposium on Biomedical Imaging, ISBI 2015, Brooklyn, NY, USA, April 16-19, 2015 (2015)

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Benchmark for Algorithms Segmenting the Left Atrium From 3D CT and MRI Datasets

Benchmark for Algorithms Segmenting the Left Atrium From 3D CT and MRI Datasets
Catalina Tobon-Gomez, Arjan J. Geers, Jochen Peters, Jurgen Weese, Karen Pinto, Rashed Karim, Mohammed Ammar, Abdelaziz Daoudi, Jan Margeta, Zulma L. Sandoval, Birgit Stender, Yefeng Zheng, Maria A. Zuluaga, Julian Betancur, Nicholas Ayache, Mohammed Amine Chikh, Jean-Louis Dillenseger, B. Michael Kelm, Said Mahmoudi, Sebastien Ourselin, Alexander Schlaefer, Tobias Schaeffter, Reza Razavi, Kawal S. Rhode
IEEE Trans. Medical Imaging (2015)

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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, Sebastien Ourselin
Medical Image Anal. (2015)

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Right ventricle segmentation from cardiac MRI: A collation study
Caroline Petitjean, Maria A. Zuluaga, Wenjia Bai, Jean-Nicolas Dacher, Damien Grosgeorge, Jer^ome Caudron, Su Ruan, Ismail Ben Ayed, Manuel Jorge Cardoso, Hsiang-Chou Chen, Daniel Jimenez-Carretero, Maria J. Ledesma-Carbayo, Christos Davatzikos, Jimit Doshi, Guray Erus, Oskar M. O. Maier, Cyrus M. S. Nambakhsh, Yangming Ou, Sebastien Ourselin, Chun-Wei Peng, Nicholas S. Peters, Terry M. Peters, Martin Rajchl, Daniel Rueckert, Andres Santos, Wenzhe Shi, Ching-Wei Wang, Haiyan Wang, Jing Yuan
Medical Image Anal. (2015)

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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, Sebastien Ourselin
Int. J. Comput. Assist. Radiol. Surg. (2015)

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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, Sebastien Ourselin
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5 - 9, 2015, Proceedings, Part III (2015)

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