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ORCIDMiguel Monteiro
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2020 – today
- 2024
[j5]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): 417-441 (2024)- [c9]José Cação, Mário Antunes, José Santos, Miguel Monteiro:
Optimising Data Processing in Industrial Settings: A Comparative Evaluation of Dimensionality Reduction Approaches. IoTBDS 2024: 119-130 - 2023
- [j4]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): 1324-1339 (2023) - [c8]Miguel Monteiro, Fabio De Sousa Ribeiro, Nick Pawlowski, Daniel C. Castro, Ben Glocker:
Measuring axiomatic soundness of counterfactual image models. ICLR 2023 - [c7]Fabio De Sousa Ribeiro, Tian Xia, Miguel Monteiro, Nick Pawlowski, Ben Glocker:
High Fidelity Image Counterfactuals with Probabilistic Causal Models. ICML 2023: 7390-7425 - [i10]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 abs/2301.05097 (2023) - [i9]Miguel Monteiro, Fabio De Sousa Ribeiro, Nick Pawlowski, Daniel C. Castro, Ben Glocker:
Measuring axiomatic soundness of counterfactual image models. CoRR abs/2303.01274 (2023) - [i8]Fabio De Sousa Ribeiro, Tian Xia, Miguel Monteiro, Nick Pawlowski, Ben Glocker:
High Fidelity Image Counterfactuals with Probabilistic Causal Models. CoRR abs/2306.15764 (2023) - 2022
- [j3]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: 106782 (2022) - [j2]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) - [c6]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: 211-218 - [c5]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: 135-146 - [c4]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: 290-310 - [i7]James Langley, Miguel Monteiro, Charles Jones, Nick Pawlowski, Ben Glocker:
Structured Uncertainty in the Observation Space of Variational Autoencoders. CoRR abs/2205.12533 (2022) - [i6]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 abs/2208.04114 (2022) - [i5]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 abs/2211.01886 (2022) - 2021
- [c3]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: 1122-1123 - [i4]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 abs/2108.01200 (2021) - [i3]Melanie Bernhardt, Daniel C. Castro, Ryutaro Tanno, Anton Schwaighofer, Kerem Can 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 abs/2109.00574 (2021) - 2020
- [c2]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 - [i2]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 abs/2006.06015 (2020)
2010 – 2019
- 2019
- [c1]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: 13-22 - 2018
- [j1]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): 1953-1959 (2018) - [i1]Miguel Monteiro, Mário A. T. Figueiredo, Arlindo L. Oliveira:
Conditional Random Fields as Recurrent Neural Networks for 3D Medical Imaging Segmentation. CoRR abs/1807.07464 (2018)
Coauthor Index
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