Miguel Monteiro

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 24

Top Topics

Dependency Graphs

Traumatic Brain Injury

Image Segmentation

Top Venues

Comput. Electron. Agric.

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

José Cação, Mário Antunes, José Santos, Miguel Monteiro
Optimising Data Processing in Industrial Settings: A Comparative Evaluation of Dimensionality Reduction Approaches. IoTBDS (2024)
Mafalda Ferreira, Miguel Monteiro, Tiago Brito, Miguel E. Coimbra, Nuno Santos, Limin Jia, José Fragoso Santos
Efficient Static Vulnerability Analysis for JavaScript with Multiversion Dependency Graphs. Proc. ACM Program. Lang. 8 (PLDI) (2024)
Tiago Brito, Mafalda Ferreira, Miguel Monteiro, Pedro Lopes, Miguel Barros, José Fragoso Santos, Nuno Santos
Study of JavaScript Static Analysis Tools for Vulnerability Detection in Node.js Packages. CoRR (2023)
Miguel Monteiro, Fabio De Sousa Ribeiro, Nick Pawlowski, Daniel C. Castro, Ben Glocker
Measuring axiomatic soundness of counterfactual image models. CoRR (2023)
Fabio De Sousa Ribeiro, Tian Xia, Miguel Monteiro, Nick Pawlowski, Ben Glocker
High Fidelity Image Counterfactuals with Probabilistic Causal Models. CoRR (2023)
Fabio De Sousa Ribeiro, Tian Xia, Miguel Monteiro, Nick Pawlowski, Ben Glocker
High Fidelity Image Counterfactuals with Probabilistic Causal Models. ICML (2023)
Miguel Monteiro, Fabio De Sousa Ribeiro, Nick Pawlowski, Daniel C. Castro, Ben Glocker
Measuring axiomatic soundness of counterfactual image models. ICLR (2023)
Tiago Brito, Mafalda Ferreira, Miguel Monteiro, Pedro Lopes, Miguel Barros, José Fragoso Santos, Nuno Santos
Study of JavaScript Static Analysis Tools for Vulnerability Detection in Node.js Packages. IEEE Trans. Reliab. 72 (4) (2023)
Margherita Rosnati, Eyal Soreq, Miguel Monteiro, Lucia M. Li, Neil S. N. Graham, Karl Zimmerman, Carlotta Rossi, Greta Carrara, Guido Bertolini, David J. Sharp, Ben Glocker
Automatic lesion analysis for increased efficiency in outcome prediction of traumatic brain injury. CoRR (2022)
Margherita Rosnati, Eyal Soreq, Miguel Monteiro, Lucia M. Li, Neil S. N. Graham, Karl Zimmerman, Carlotta Rossi, Greta Carrara, Guido Bertolini, David J. Sharp, Ben Glocker
Automatic Lesion Analysis for Increased Efficiency in Outcome Prediction of Traumatic Brain Injury. MLCN@MICCAI (2022)
Margherita Rosnati, Fabio De Sousa Ribeiro, Miguel Monteiro, Daniel Coelho de Castro, Ben Glocker
Analysing the effectiveness of a generative model for semi-supervised medical image segmentation. ML4H@NeurIPS (2022)
Margherita Rosnati, Fabio De Sousa Ribeiro, Miguel Monteiro, Daniel Coelho de Castro, Ben Glocker
Analysing the effectiveness of a generative model for semi-supervised medical image segmentation. CoRR (2022)
James Langley, Miguel Monteiro, Charles Jones, Nick Pawlowski, Ben Glocker
Structured Uncertainty in the Observation Space of Variational Autoencoders. Trans. Mach. Learn. Res. 2022 (2022)
James Langley, Miguel Monteiro, Charles Jones, Nick Pawlowski, Ben Glocker
Structured Uncertainty in the Observation Space of Variational Autoencoders. CoRR (2022)
Tiago Barros, Pedro Conde, Gil Gonçalves, Cristiano Premebida, Miguel Monteiro, Carla Sofia Santos Ferreira, Urbano J. Nunes
Multispectral vineyard segmentation: A deep learning comparison study. Comput. Electron. Agric. 195 (2022)
Henrique Sousa, Pedro Figueiredo, Daniel Francisco, Miguel Monteiro, Renato Dias, Ana Almeida, Pedro Rito, Susana Sargento
Safe Roads: an Integration between Twitter and City Sensing. IOT (2022)
Melanie Bernhardt, Daniel C. Castro, Ryutaro Tanno, Anton Schwaighofer, Kerem C. Tezcan, Miguel Monteiro, Shruthi Bannur, Matthew P. Lungren, Aditya V. Nori, Ben Glocker, Javier Alvarez-Valle, Ozan Oktay
Active label cleaning: Improving dataset quality under resource constraints. CoRR (2021)
Tiago Barros, Pedro Conde, Gil Gonçalves, Cristiano Premebida, Miguel Monteiro, Carla Sofia Santos Ferreira, Urbano J. Nunes
Multispectral Vineyard Segmentation: A Deep Learning approach. CoRR (2021)
Lígia Reis, Miguel Monteiro, Luís Lourenço, João Gregório
Pharmacy Electronic Records and Patient Clustering: Exploring New Ways to Increase the Provision of Tailored Pharmaceutical Services. MIE (2021)
Miguel Monteiro, Loïc Le Folgoc, Daniel Coelho de Castro, Nick Pawlowski, Bernardo Marques, Konstantinos Kamnitsas, Mark van der Wilk, Ben Glocker
Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty. NeurIPS (2020)
Miguel Monteiro, Loïc Le Folgoc, Daniel Coelho de Castro, Nick Pawlowski, Bernardo Marques, Konstantinos Kamnitsas, Mark van der Wilk, Ben Glocker
Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty. CoRR (2020)
Miguel Monteiro, Konstantinos Kamnitsas, Enzo Ferrante, Francois Mathieu, Steven McDonagh, Sam Cook, Susan Stevenson, Tilak Das, Aneesh Khetani, Tom Newman, Fred Zeiler, Richard Digby, Jonathan P. Coles, Daniel Rueckert, David K. Menon, Virginia F. J. Newcombe, Ben Glocker
TBI Lesion Segmentation in Head CT: Impact of Preprocessing and Data Augmentation. BrainLes@MICCAI (1) (2019)
Miguel Monteiro, Mário A. T. Figueiredo, Arlindo L. Oliveira
Conditional Random Fields as Recurrent Neural Networks for 3D Medical Imaging Segmentation. CoRR (2018)
Miguel Monteiro, Ana Catarina Fonseca, Ana Teresa Freitas, Teresa Pinho e Melo, Alexandre P. Francisco, José M. Ferro, Arlindo L. Oliveira
Using Machine Learning to Improve the Prediction of Functional Outcome in Ischemic Stroke Patients. IEEE ACM Trans. Comput. Biol. Bioinform. 15 (6) (2018)