Maria A. Zuluaga

116 papers A* 5A 2B 3C 1Misc 2Journal 50Unranked 45
YearRankTypeTitle / Venue / Authors
2026 J jnl
The MAMA-MIA Challenge: Advancing Generalizability and Fairness in Breast MRI Tumor Segmentation and Treatment Response Prediction.
CoRR
Lidia Garrucho, Smriti Joshi, Kaisar Kushibar, Richard Osuala, Maciej Bobowicz, Xavier Bargalló, Paulius Jarusevicius, Kai Geissler, Raphael Schäfer, Muhammad Alberb, Tony Xu, Anne L. Martel, Daniel Sleiman, Navchetan Awasthi, Hadeel Awwad, Joan C. Vilanova, Robert Martí, Daan Schouten, Jeong Hoon Lee, Mirabela Rusu, Eleonora Poeta, Luisa Vargas, Eliana Pastor, Maria A. Zuluaga, Jessica Kächele, Dimitrios Bounias, Alexandra Ertl, Katarzyna Gwozdziewicz, Maria-Laura Cosaka, Pasant M. Abo-Elhoda, Sara W. Tantawy, Shorouq S. Sakrana, Norhan O. Shawky-Abdelfatah, Amr Muhammad Abdo-Salem, Androniki Kozana, Eugen Divjak, Gordana Ivanac, Katerina Nikiforaki, Michail E. Klontzas, Rosa García-Dosdá, Meltem Gulsun-Akpinar, Oguz Lafci, Carlos Martín-Isla, Oliver Díaz, Laura Igual, Karim Lekadir
2025 — conf
A Data-Driven Approach to Optimise Parameters of a Computational Digital Twin Model in Response to SBRT on MR-Linac.
CMMCA@MICCAI
Valentin Septiers, Joséphine Colineaux, Carlos Sosa Marrero, Jennifer Le Guévelou, Kaoutar Elouahabi, Léo Le Bozec, Renaud de Crevoisier, Hervé Saint-Jalmes, Anaïs Barateau, Maria A. Zuluaga, Oscar Acosta
2025 J jnl
An Automated Framework for Large-Scale Graph-Based Cerebrovascular Analysis.
CoRR
Daniele Falcetta, Liane S. Canas, Lorenzo Suppa, Matteo Pentassuglia, Jon O. Cleary, Marc Modat, Sébastien Ourselin, Maria A. Zuluaga
2025 — conf
Automatic Segmentation of Lower-Limb Arteries on CTA for Pre-surgical Planning of Peripheral Artery Disease.
AMAI@MICCAI
Lisa Guzzi, Maria A. Zuluaga, Fabien Lareyre, Gilles Di Lorenzo, Sébastien Goffart, Andrea Chierici, Juliette Raffort, Hervé Delingette
2025 — conf
Divergence-Aware Training with Automatic Subgroup Mitigation for Breast Tumor Segmentation.
Deep-Breath@MICCAI
Eleonora Poeta, Luisa Vargas, Daniele Falcetta, Vincenzo Marcianó, Eliana Pastor, Tania Cerquitelli, Elena Baralis, Maria A. Zuluaga
2025 — conf
Explainable Prediction of Recurrence After Prostate Cancer Radiotherapy Using in Silico digital twin model and machine learning.
DT4H@MICCAI
Valentin Septiers, Carlos Sosa Marrero, Eleonora Poeta, Hilda Chourak, Aurélien Briens, Renaud de Crevoisier, Maria A. Zuluaga, Oscar Acosta
2025 — conf
In the Picture: Medical Imaging Datasets, Artifacts, and their Living Review.
FAccT
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, Leo Joskowicz, Dovile Juodelyte, Melih Kandemir, Thijs Kooi, Jorge del Pozo Lérida, Livie Yumeng Li, André G. C. Pacheco, Tim Rädsch, Mauricio Reyes, Théo Sourget, Bram van Ginneken, David Wen, Nina Weng, Jack Junchi Xu, Hubert Dariusz Zajac, Maria A. Zuluaga, Veronika Cheplygina
2025 J jnl
In the Picture: Medical Imaging Datasets, Artifacts, and their Living Review.
CoRR
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, Leo Joskowicz, Dovile Juodelyte, Melih Kandemir, Thijs Kooi, Jorge del Pozo Lérida, Livie Yumeng Li, André G. C. Pacheco, Tim Rädsch, Mauricio Reyes, Théo Sourget, Bram van Ginneken, David Wen, Nina Weng, Jack Junchi Xu, Hubert Dariusz Zajac, Maria A. Zuluaga, Veronika Cheplygina
2025 J jnl
MVP: Multimodal Emotion Recognition based on Video and Physiological Signals.
CoRR
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
2025 J jnl
Multi-Domain Brain Vessel Segmentation Through Feature Disentanglement.
CoRR
Francesco Galati, Daniele Falcetta, Rosa Cortese, Ferran Prados, Ninon Burgos, Maria A. Zuluaga
2025 — conf
One-Shot Active Learning for Vessel Segmentation.
MICCAI (6)
Daniele Falcetta, Hava Chaptoukaev, Francesco Galati, Maria A. Zuluaga
2025 — conf
Regional Hausdorff Distance Losses for Medical Image Segmentation.
MLMI@MICCAI
Lisa Guzzi, Maria A. Zuluaga, Riccardo Taiello, Fabien Lareyre, Gilles Di Lorenzo, Sébastien Goffart, Andrea Chierici, Juliette Raffort, Hervé Delingette
2025 — conf
VesselVerse: A Dataset and Collaborative Framework for Vessel Annotation.
MICCAI (13)
Daniele Falcetta, Vincenzo Marcianó, Kaiyuan Yang, Jon O. Cleary, Loïc Legris, Massimiliano Domenico Rizzaro, Ioannis Pitsiorlas, Hava Chaptoukaev, Benjamin Lemasson, Bjoern H. Menze, Maria A. Zuluaga
2024 — conf
Differentiable Soft Morphological Filters for Medical Image Segmentation.
MICCAI (8)
Lisa Guzzi, Maria A. Zuluaga, Fabien Lareyre, Gilles Di Lorenzo, Sébastien Goffart, Andrea Chierici, Juliette Raffort, Hervé Delingette
2024 — conf
Federated Multi-centric Image Segmentation with Uneven Label Distribution.
MICCAI (10)
Francesco Galati, Rosa Cortese, Ferran Prados, Marco Lorenzi, Maria A. Zuluaga
2024 J jnl
HyperMM : Robust Multimodal Learning with Varying-sized Inputs.
CoRR
Hava Chaptoukaev, Vincenzo Marcianó, Francesco Galati, Maria A. Zuluaga
2024 — conf
HyperMM: Robust Multimodal Learning with Varying-Sized Inputs.
LDTM/MMMI/ML4MHD/ML-CDS@MICCAI
Hava Chaptoukaev, Vincenzo Marcianó, Francesco Galati, Maria A. Zuluaga
2024 — conf
Improved Prediction of Recurrence After Prostate Cancer Radiotherapy Using Multimodal Data and in Silico simulations.
CaPTion@MICCAI
Valentin Septiers, Carlos Sosa Marrero, Renaud de Crevoisier, Aurélien Briens, Hilda Chourak, Maria A. Zuluaga, Oscar Acosta
2024 — conf
MVP: Multimodal Emotion Recognition Based on Video and Physiological Signals.
ECCV Workshops (15)
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
2024 J jnl
SMILE-UHURA Challenge - Small Vessel Segmentation at Mesoscopic Scale from Ultra-High Resolution 7T Magnetic Resonance Angiograms.
CoRR
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, 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, Cristóbal 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 Valabrègue, Didier Dormont, Bruno Stankoff, Olivier Colliot, Luisa Vargas, Isai Daniel Chacón, Ioannis Pitsiorlas, Pablo Arbeláez, Maria A. Zuluaga, Stefanie Schreiber, Oliver Speck, Andreas Nürnberger
2023 A conf
A2V: A Semi-Supervised Domain Adaptation Framework for Brain Vessel Segmentation via Two-Phase Training Angiography-to-Venography Translation.
BMVC
Francesco Galati, Daniele Falcetta, Rosa Cortese, Barbara Casolla, Ferran Prados, Ninon Burgos, Maria A. Zuluaga
2023 J jnl
A2V: A Semi-Supervised Domain Adaptation Framework for Brain Vessel Segmentation via Two-Phase Training Angiography-to-Venography Translation.
CoRR
Francesco Galati, Daniele Falcetta, Rosa Cortese, Barbara Casolla, Ferran Prados, Ninon Burgos, Maria A. Zuluaga
2023 J jnl
Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA.
CoRR
Kaiyuan Yang, 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, 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 Hämmerli, 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 Létourneau-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 Müller, et al.
2023 — conf
Binary Domain Generalization for Sparsifying Binary Neural Networks.
ECML/PKDD (2)
Riccardo Schiavone, Francesco Galati, Maria A. Zuluaga
2023 J jnl
Binary domain generalization for sparsifying binary neural networks.
CoRR
Riccardo Schiavone, Francesco Galati, Maria A. Zuluaga
2023 J jnl
DAMP: accurate time series anomaly detection on trillions of datapoints and ultra-fast arriving data streams.
Data Min. Knowl. Discov.
Yue Lu, Renjie Wu, Abdullah Mueen, Maria A. Zuluaga, Eamonn J. Keogh
2023 J jnl
Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge.
IEEE J. Biomed. Health Informatics
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, 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 Hüllebrand, 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, Stéphanie Bricq, Mark E. Rentschler, Andrea Guala, Steffen E. Petersen, Sergio Escalera, José F. Rodríguez Palomares, Karim Lekadir
2023 J jnl
JoB-VS: Joint Brain-Vessel Segmentation in TOF-MRA Images.
CoRR
Natalia Valderrama, Ioannis Pitsiorlas, Luisa Vargas, Pablo Arbeláez, Maria A. Zuluaga
2023 — conf
Job-VS: Joint Brain-Vessel Segmentation in TOF-MRA Images.
ISBI
Natalia Valderrama, Ioannis Pitsiorlas, Luisa Vargas, Pablo Arbeláez, Maria A. Zuluaga
2023 A* conf
StressID: a Multimodal Dataset for Stress Identification.
NeurIPS
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, Laura M. Ferrari
2022 J jnl
AI-based artistic representation of emotions from EEG signals: a discussion on fairness, inclusion, and aesthetics.
CoRR
Piera Riccio, Kristin Bergaust, Boel Christensen-Scheel, Juan Carlos De Martin, Maria A. Zuluaga, Stefano Nichele
2022 — conf
Class-wise Thresholding for Robust Out-of-Distribution Detection.
CVPR Workshops
Matteo Guarrera, Baihong Jin, Tung-Wei Lin, Maria A. Zuluaga, Yuxin Chen, Alberto L. Sangiovanni-Vincentelli
2022 B conf
DTS: A Simulator to Estimate the Training Time of Distributed Deep Neural Networks.
MASCOTS
Wilfredo Joshua Robinson Moore, Flavio Esposito, Maria A. Zuluaga
2022 J jnl
Do Deep Neural Networks Contribute to Multivariate Time Series Anomaly Detection?
CoRR
Julien Audibert, Pietro Michiardi, Frédéric Guyard, Sébastien Marti, Maria A. Zuluaga
2022 J jnl
Do deep neural networks contribute to multivariate time series anomaly detection?
Pattern Recognit.
Julien Audibert, Pietro Michiardi, Frédéric Guyard, Sébastien Marti, Maria A. Zuluaga
2022 Misc conf
Exploring Auditory Acoustic Features for The Diagnosis of Covid-19.
ICASSP
Madhu R. Kamble, Jose Patino, Maria A. Zuluaga, Massimiliano Todisco
2022 J jnl
Exploring auditory acoustic features for the diagnosis of the Covid-19.
CoRR
Madhu R. Kamble, Jose Patino, Maria A. Zuluaga, Massimiliano Todisco
2022 J jnl
Fairness and bias correction in machine learning for depression prediction: results from four different study populations.
CoRR
Vien Ngoc Dang, Anna Cascarano, Rosa H. Mulder, Charlotte Cecil, Maria A. Zuluaga, Jerónimo Hernández-González, Karim Lekadir
2022 A* conf
Matrix Profile XXIV: Scaling Time Series Anomaly Detection to Trillions of Datapoints and Ultra-fast Arriving Data Streams.
KDD
Yue Lu, Renjie Wu, Abdullah Mueen, Maria A. Zuluaga, Eamonn J. Keogh
2022 J jnl
Sparsifying Binary Networks.
CoRR
Riccardo Schiavone, Maria A. Zuluaga
2022 C conf
Translating Emotions from EEG to Visual Arts.
EvoMUSART
Piera Riccio, Francesco Galati, Maria A. Zuluaga, Juan Carlos De Martin, Stefano Nichele
2022 J jnl
Vessel-CAPTCHA: An efficient learning framework for vessel annotation and segmentation.
Medical Image Anal.
Vien Ngoc Dang, Francesco Galati, Rosa Cortese, Giuseppe Di Giacomo, Viola Marconetto, Prateek Mathur, Karim Lekadir, Marco Lorenzi, Ferran Prados, Maria A. Zuluaga
2021 J jnl
Class-wise Thresholding for Detecting Out-of-Distribution Data.
CoRR
Matteo Guarrera, Baihong Jin, Tung-Wei Lin, Maria A. Zuluaga, Yuxin Chen, Alberto L. Sangiovanni-Vincentelli
2021 — conf
Efficient Model Monitoring for Quality Control in Cardiac Image Segmentation.
FIMH
Francesco Galati, Maria A. Zuluaga
2021 J jnl
Efficient Model Monitoring for Quality Control in Cardiac Image Segmentation.
CoRR
Francesco Galati, Maria A. Zuluaga
2021 — conf
From Univariate to Multivariate Time Series Anomaly Detection with Non-Local Information.
AALTD@ECML/PKDD
Julien Audibert, Sébastien Marti, Frédéric Guyard, Maria A. Zuluaga
2021 A* conf
Maximum Roaming Multi-Task Learning.
AAAI
Lucas Pascal, Pietro Michiardi, Xavier Bost, Benoit Huet, Maria A. Zuluaga
2021 J jnl
Multi-Atlas Based Pathological Stratification of d-TGA Congenital Heart Disease.
CoRR
Maria A. Zuluaga, Alex F. Mendelson, M. Jorge Cardoso, Andrew Mayall Taylor, Sébastien Ourselin
2021 J jnl
One-class Autoencoder Approach for Optimal Electrode Set-up Identification in Wearable EEG Event Monitoring.
CoRR
Laura M. Ferrari, Guy Abi Hanna, Paolo Volpe, Esma Ismailova, François Brémond, Maria A. Zuluaga
2021 — conf
One-class autoencoder approach for optimal electrode set identification in wearable EEG event monitoring
EMBC
Laura M. Ferrari, Guy Abi Hanna, Paolo Volpe, Esma Ismailova, François Brémond, Maria A. Zuluaga
2021 J jnl
Optimization Strategies in Multi-Task Learning: Averaged or Separated Losses?
CoRR
Lucas Pascal, Pietro Michiardi, Xavier Bost, Benoit Huet, Maria A. Zuluaga
2021 A conf
PANACEA Cough Sound-Based Diagnosis of COVID-19 for the DiCOVA 2021 Challenge.
Interspeech
Madhu R. Kamble, José Andrés González López, Teresa Grau, Juan M. Espín, Lorenzo Cascioli, Yiqing Huang, Alejandro Gómez Alanís, Jose Patino, Roberto Font, Antonio M. Peinado, Angel M. Gomez, Nicholas W. D. Evans, Maria A. Zuluaga, Massimiliano Todisco
2021 J jnl
PANACEA cough sound-based diagnosis of COVID-19 for the DiCOVA 2021 Challenge.
CoRR
Madhu R. Kamble, José Andrés González López, Teresa Grau, Juan M. Espín, Lorenzo Cascioli, Yiqing Huang, Alejandro Gómez Alanís, Jose Patino, Roberto Font, Antonio M. Peinado, Angel M. Gomez, Nicholas W. D. Evans, Maria A. Zuluaga, Massimiliano Todisco
2021 — conf
Using Out-of-Distribution Detection for Model Refinement in Cardiac Image Segmentation.
STACOM@MICCAI
Francesco Galati, Maria A. Zuluaga
2021 J jnl
Vessel-CAPTCHA: an efficient learning framework for vessel annotation and segmentation.
CoRR
Vien Ngoc Dang, Giuseppe Di Giacomo, Viola Marconetto, Prateek Mathur, Rosa Cortese, Marco Lorenzi, Ferran Prados, Maria A. Zuluaga
2020 J jnl
Automatic Right Ventricle Segmentation using Multi-Label Fusion in Cardiac MRI.
CoRR
Maria A. Zuluaga, M. Jorge Cardoso, Sébastien Ourselin
2020 J jnl
Maximum Roaming Multi-Task Learning.
CoRR
Lucas Pascal, Pietro Michiardi, Xavier Bost, Benoit Huet, Maria A. Zuluaga
2020 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part I
MICCAI (1)
Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz
2020 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part II
MICCAI (2)
Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz
2020 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part III
MICCAI (3)
Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz
2020 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part IV
MICCAI (4)
Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz
2020 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part V
MICCAI (5)
Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz
2020 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part VI
MICCAI (6)
Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz
2020 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part VII
MICCAI (7)
Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz
2020 — conf
Model Monitoring and Dynamic Model Selection in Travel Time-Series Forecasting.
ECML/PKDD (4)
Rosa Candela, Pietro Michiardi, Maurizio Filippone, Maria A. Zuluaga
2020 J jnl
Multi-objective Consensus Clustering Framework for Flight Search Recommendation.
CoRR
Sujoy Chatterjee, Nicolas Pasquier, Simon Nanty, Maria A. Zuluaga
2020 J jnl
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
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, Sébastien Ourselin
2020 A* conf
USAD: UnSupervised Anomaly Detection on Multivariate Time Series.
KDD
Julien Audibert, Pietro Michiardi, Frédéric Guyard, Sébastien Marti, Maria A. Zuluaga
2019 J jnl
DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell.
Guotai Wang, Maria A. Zuluaga, Wenqi Li, Rosalind Pratt, Premal A. Patel, Michael Aertsen, Tom Doel, Anna L. David, Jan Deprest, Sébastien Ourselin, Tom Vercauteren
2019 J jnl
Grey matter sublayer thickness estimation in themouse cerebellum.
CoRR
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
2019 J jnl
Inference of Cerebrovascular Topology With Geodesic Minimum Spanning Trees.
IEEE Trans. Medical Imaging
Stefano Moriconi, Maria A. Zuluaga, Hans Rolf Jäger, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2019 — conf
Towards Quantifying Neurovascular Resilience.
MLMECH/CVII-STENT@MICCAI
Stefano Moriconi, Rafael Rehwald, Maria A. Zuluaga, Hans Rolf Jäger, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2019 J jnl
Towards Quantifying Neurovascular Resilience.
CoRR
Stefano Moriconi, Rafael Rehwald, Maria A. Zuluaga, Hans Rolf Jäger, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2018 — conf
Benchmarking Anomaly Detection Algorithms in an Industrial Context: Dealing with Scarce Labels and Multiple Positive Types.
IEEE BigData
David Renaudie, Maria A. Zuluaga, Rodrigo Acuna-Agost
2018 — conf
Elastic Registration of Geodesic Vascular Graphs.
MICCAI (1)
Stefano Moriconi, Maria A. Zuluaga, Hans Rolf Jäger, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2018 J jnl
Elastic Registration of Geodesic Vascular Graphs.
CoRR
Stefano Moriconi, Maria A. Zuluaga, Hans Rolf Jäger, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2018 J jnl
Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning.
IEEE Trans. Medical Imaging
Guotai Wang, Wenqi Li, Maria A. Zuluaga, Rosalind Pratt, Premal A. Patel, Michael Aertsen, Tom Doel, Anna L. David, Jan Deprest, Sébastien Ourselin, Tom Vercauteren
2018 — conf
Understanding Customer Choices to Improve Recommendations in the Air Travel Industry.
RecTour@RecSys
Alejandro Mottini, Alix Lheritier, Rodrigo Acuna-Agost, Maria A. Zuluaga
2018 J jnl
VTrails: Inferring Vessels with Geodesic Connectivity Trees.
CoRR
Stefano Moriconi, Maria A. Zuluaga, Hans Rolf Jäger, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2017 J jnl
Automated multiple trajectory planning algorithm for the placement of stereo-electroencephalography (SEEG) electrodes in epilepsy treatment.
Int. J. Comput. Assist. Radiol. Surg.
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
2017 J jnl
DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation.
CoRR
Guotai Wang, Maria A. Zuluaga, Wenqi Li, Rosalind Pratt, Premal A. Patel, Michael Aertsen, Tom Doel, Anna L. David, Jan Deprest, Sébastien Ourselin, Tom Vercauteren
2017 J jnl
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.
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
2017 J jnl
Interactive Medical Image Segmentation using Deep Learning with Image-specific Fine-tuning.
CoRR
Guotai Wang, Wenqi Li, Maria A. Zuluaga, Rosalind Pratt, Premal A. Patel, Michael Aertsen, Tom Doel, Anna L. David, Jan Deprest, Sébastien Ourselin, Tom Vercauteren
2017 — ed.
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
RAMBO+HVSMR@MICCAI
Maria A. Zuluaga, Kanwal K. Bhatia, Bernhard Kainz, Mehdi Hedjazi Moghari, Danielle F. Pace
2017 — conf
VTrails: Inferring Vessels with Geodesic Connectivity Trees.
IPMI
Stefano Moriconi, Maria A. Zuluaga, Hans Rolf Jäger, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2016 B conf
Automatic segmentation of 4D cardiac MR images for extraction of ventricular chambers using a spatio-temporal approach.
Image Processing
Angélica Maria Atehortúa Labrador, Maria A. Zuluaga, Sébastien Ourselin, Diana Giraldo, Eduardo Romero
2016 — conf
Dynamically Balanced Online Random Forests for Interactive Scribble-Based Segmentation.
MICCAI (2)
Guotai Wang, Maria A. Zuluaga, Rosalind Pratt, Michael Aertsen, Tom Doel, Maria Klusmann, Anna L. David, Jan Deprest, Tom Vercauteren, Sébastien Ourselin
2016 — conf
Efficient Anatomy Driven Automated Multiple Trajectory Planning for Intracranial Electrode Implantation.
MICCAI (1)
Rachel Sparks, Gergely Zombori, Roman Rodionov, Maria A. Zuluaga, Beate Diehl, Tim Wehner, Anna Miserocchi, Andrew W. McEvoy, John S. Duncan, Sébastien Ourselin
2016 J jnl
Slic-Seg: A minimally interactive segmentation of the placenta from sparse and motion-corrupted fetal MRI in multiple views.
Medical Image Anal.
Guotai Wang, Maria A. Zuluaga, Rosalind Pratt, Michael Aertsen, Tom Doel, Maria Klusmann, Anna L. David, Jan Deprest, Tom Vercauteren, Sébastien Ourselin
2016 — conf
Strengths and Pitfalls of Whole-Heart Atlas-Based Segmentation in Congenital Heart Disease Patients.
RAMBO+HVSMR@MICCAI
Maria A. Zuluaga, Benedetta Biffi, Andrew Mayall Taylor, Silvia Schievano, Tom Vercauteren, Sébastien Ourselin
2015 J jnl
Benchmark for Algorithms Segmenting the Left Atrium From 3D CT and MRI Datasets.
IEEE Trans. Medical Imaging
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, Maria A. Zuluaga, Julián Betancur, Nicholas Ayache, Mohammed Amine Chikh, Jean-Louis Dillenseger, B. Michael Kelm, Saïd Mahmoudi, Sébastien Ourselin, Alexander Schlaefer, Tobias Schaeffter, Reza Razavi, Kawal S. Rhode
2015 — conf
Bolstering Heuristics for Statistical Validation of Prediction Algorithms.
PRNI
Alex F. Mendelson, Maria A. Zuluaga, Brian F. Hutton, Sébastien Ourselin
2015 — conf
Grey Matter Sublayer Thickness Estimation in the Mouse Cerebellum.
MICCAI (3)
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
2015 — conf
Multi-atlas synthesis for computer assisted diagnosis: Application to cardiovascular diseases.
ISBI
Maria A. Zuluaga, Ninon Burgos, Andrew Mayall Taylor, Sébastien Ourselin
2015 — conf
Papillary Muscle Segmentation from a Multi-atlas Database: A Feasibility Study.
STACOM@MICCAI
Benedetta Biffi, Maria A. Zuluaga, Sébastien Ourselin, Andrew Mayall Taylor, Silvia Schievano
2015 J jnl
Right ventricle segmentation from cardiac MRI: A collation study.
Medical Image Anal.
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, Christos Davatzikos, Jimit Doshi, Güray Erus, Oskar M. O. Maier, Cyrus M. S. Nambakhsh, Yangming Ou, Sébastien Ourselin, Chun-Wei Peng, Nicholas S. Peters, Terry M. Peters, Martin Rajchl, Daniel Rueckert, Andrés Santos, Wenzhe Shi, Ching-Wei Wang, Haiyan Wang, Jing Yuan
2015 — conf
Slic-Seg: Slice-by-Slice Segmentation Propagation of the Placenta in Fetal MRI Using One-Plane Scribbles and Online Learning.
MICCAI (3)
Guotai Wang, Maria A. Zuluaga, Rosalind Pratt, Michael Aertsen, Anna L. David, Jan Deprest, Tom Vercauteren, Sébastien Ourselin
2015 J jnl
Stability, structure and scale: improvements in multi-modal vessel extraction for SEEG trajectory planning.
Int. J. Comput. Assist. Radiol. Surg.
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
2015 — conf
Voronoi-based analysis of bone cell network from synchrotron radiation micro-CT images.
ISBI
Pei Dong, Sébastien Valette, Maria A. Zuluaga, Galateia J. Kazakia, Françoise Peyrin
2015 J jnl
Voxelwise atlas rating for computer assisted diagnosis: Application to congenital heart diseases of the great arteries.
Medical Image Anal.
Maria A. Zuluaga, Ninon Burgos, Alex F. Mendelson, Andrew Mayall Taylor, Sébastien Ourselin
2014 — conf
A Computer Assisted Planning System for the Placement of sEEG Electrodes in the Treatment of Epilepsy.
IPCAI
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
2014 — conf
Multi-atlas based pathological stratification of D-TGA congenital heart disease.
ISBI
Maria A. Zuluaga, Alex F. Mendelson, Manuel Jorge Cardoso, Andrew Mayall Taylor, Sébastien Ourselin
2014 — conf
SEEG Trajectory Planning: Combining Stability, Structure and Scale in Vessel Extraction.
MICCAI (2)
Maria A. Zuluaga, Roman Rodionov, Mark Nowell, Sufyan Achhala, Gergely Zombori, Manuel Jorge Cardoso, Anna Miserocchi, Andrew W. McEvoy, John S. Duncan, Sébastien Ourselin
2014 — conf
The Empirical Variance Estimator for Computer Aided Diagnosis: Lessons for Algorithm Validation.
MICCAI (2)
Alex F. Mendelson, Maria A. Zuluaga, Lennart Thurfjell, Brian F. Hutton, Sébastien Ourselin
2013 — conf
A new quantitative approach for estimating bone cell connections from nano-CT images.
EMBC
Pei Dong, Alexandra Pacureanu, Maria A. Zuluaga, Cécile Olivier, Frédérique Frouin, Quentin Grimal, Françoise Peyrin
2013 — conf
Multi-atlas Propagation Whole Heart Segmentation from MRI and CTA Using a Local Normalised Correlation Coefficient Criterion.
FIMH
Maria A. Zuluaga, Manuel Jorge Cardoso, Marc Modat, Sébastien Ourselin
2012 Misc conf
A Fast Lesion Registration to Assist Coronary Heart Disease Diagnosis in CTA Images.
ICCVG
Maria A. Zuluaga, Marcela Hernández Hoyos, Julio C. Dávila, Luis Felipe Uriza, Maciej Orkisz
2011 J jnl
Automatic detection of abnormal vascular cross-sections based on density level detection and support vector machines.
Int. J. Comput. Assist. Radiol. Surg.
Maria A. Zuluaga, Isabelle E. Magnin, Marcela Hernández Hoyos, Edgar J. F. Delgado Leyton, Fernando Lozano, Maciej Orkisz
2011 J jnl
Evaluation framework for carotid bifurcation lumen segmentation and stenosis grading.
Medical Image Anal.
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, Marcela Hernández Hoyos, Fethallah Benmansour, Albert C. S. Chung, Sietske Rozie, M. van Gils, L. van den Borne, Jacob Sosna, Phillip M. Berman, N. Cohen, Philippe Douek, I. Sánchez, M. Aissat, Michiel Schaap, Coert Metz, Gabriel P. Krestin, Aad van der Lugt, Wiro J. Niessen, Theo van Walsum
2011 — conf
Learning from Only Positive and Unlabeled Data to Detect Lesions in Vascular CT Images.
MICCAI (3)
Maria A. Zuluaga, Don R. Hush, Edgar J. F. Delgado Leyton, Marcela Hernández Hoyos, Maciej Orkisz
2010 — conf
Can the Coronary Artery Centerline Extraction in Computed Tomography Images Be Improved by Use of a Partial Volume Model?
ICCVG (2)
Maria A. Zuluaga, Edgar J. F. Delgado Leyton, Marcela Hernández Hoyos, Maciej Orkisz
2010 — conf
Feature Selection for SVM-Based Vascular Anomaly Detection.
MCV
Maria A. Zuluaga, Edgar J. F. Delgado Leyton, Marcela Hernández Hoyos, Maciej Orkisz
2009 J jnl
Automated voxel-based 3D cortical thickness measurement in a combined Lagrangian-Eulerian PDE approach using partial volume maps.
Medical Image Anal.
Oscar Acosta, Pierrick Bourgeat, Maria A. Zuluaga, Jurgen Fripp, Olivier Salvado, Sébastien Ourselin
2008 B conf
Cortical thickness measurement from magnetic resonance images using partial volume estimation.
Image Processing
Maria A. Zuluaga, Oscar Acosta, Pierrick Bourgeat, Marcela Hernández Hoyos, Olivier Salvado, Sébastien Ourselin
2008 — conf
Improved cortical thickness measurement from MR images using partial volume estimation.
ISBI
Pierrick Bourgeat, Oscar Acosta, Maria A. Zuluaga, Jurgen Fripp, Olivier Salvado, Sébastien Ourselin
2007 A* conf
Fuzzy classificationof brain MRI using a priori knowledge: weighted fuzzy C-means.
ICCV
Olivier Salvado, Pierrick Bourgeat, Oscar Acosta Tamayo, Maria A. Zuluaga, Sébastien Ourselin