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ORCIDMaria Inês Meyer
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2020 – today
- 2022
[i6]Moritz Roman Hernandez Petzsche, Ezequiel de la Rosa, Uta Hanning, Roland Wiest
, Waldo Enrique Valenzuela Pinilla, Mauricio Reyes, Maria Inês Meyer, Sook-Lei Liew, Florian Kofler, Ivan Ezhov, David Robben, Alexandre Hutton, Tassilo Friedrich, Teresa Zarth, Johannes Bürkle, The Anh Baran, Bjoern H. Menze, Gabriel Broocks, Lukas Meyer, Claus Zimmer, Tobias Boeckh-Behrens, Maria Berndt, Benno Ikenberg, Benedikt Wiestler, Jan S. Kirschke:
ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset. CoRR abs/2206.06694 (2022)- 2021
- [c9]Maria Inês Meyer, Ezequiel de la Rosa, Nuno Pedrosa de Barros, Roberto Paolella, Koen Van Leemput, Diana Maria Sima:
An Augmentation Strategy to Mimic Multi-Scanner Variability in MRI. ISBI 2021: 1196-1200 - [i5]Maria Inês Meyer, Ezequiel de la Rosa, Nuno Pedrosa de Barros, Roberto Paolella, Koen Van Leemput, Diana Maria Sima:
An augmentation strategy to mimic multi-scanner variability in MRI. CoRR abs/2103.12595 (2021) - 2020
- [i4]Mattias Billast, Maria Inês Meyer, Diana Maria Sima, David Robben:
Improved inter-scanner MS lesion segmentation by adversarial training on longitudinal data. CoRR abs/2002.00952 (2020)
2010 – 2019
- 2019
- [c8]Mattias Billast, Maria Inês Meyer, Diana Maria Sima, David Robben:
Improved Inter-scanner MS Lesion Segmentation by Adversarial Training on Longitudinal Data. BrainLes@MICCAI (1) 2019: 98-107 - [c7]Adrian Galdran, Maria Inês Meyer, Pedro Costa, Ana Maria Mendonça, Aurélio Campilho:
Uncertainty-Aware Artery/Vein Classification on Retinal Images. ISBI 2019: 556-560 - [c6]Maria Inês Meyer, Ezequiel de la Rosa, Koen Van Leemput, Diana Maria Sima:
Relevance Vector Machines for Harmonization of MRI Brain Volumes Using Image Descriptors. OR/MLCN@MICCAI 2019: 77-85 - [i3]Maria Inês Meyer, Ezequiel de la Rosa, Koen Van Leemput, Diana Maria Sima:
Relevance Vector Machines for harmonization of MRI brain volumes using image descriptors. CoRR abs/1911.04289 (2019) - 2018
- [j1]Pedro Costa, Adrian Galdran, Maria Inês Meyer, Meindert Niemeijer, Michael Abramoff, Ana Maria Mendonça, Aurélio J. C. Campilho:
End-to-End Adversarial Retinal Image Synthesis. IEEE Trans. Medical Imaging 37(3): 781-791 (2018) - [c5]Maria Inês Meyer, Adrian Galdran, Pedro Costa, Ana Maria Mendonça, Aurélio Campilho:
Deep Convolutional Artery/Vein Classification of Retinal Vessels. ICIAR 2018: 622-630 - [c4]Carlos A. Ferreira, Tânia Melo, Patrick Sousa, Maria Inês Meyer, Elham Shakibapour, Pedro Costa, Aurélio Campilho:
Classification of Breast Cancer Histology Images Through Transfer Learning Using a Pre-trained Inception Resnet V2. ICIAR 2018: 763-770 - [c3]Maria Inês Meyer, Adrian Galdran, Ana Maria Mendonça, Aurélio Campilho:
A Pixel-Wise Distance Regression Approach for Joint Retinal Optical Disc and Fovea Detection. MICCAI (2) 2018: 39-47 - 2017
- [c2]Maria Inês Meyer, Pedro Costa, Adrian Galdran, Ana Maria Mendonça, Aurélio Campilho:
A Deep Neural Network for Vessel Segmentation of Scanning Laser Ophthalmoscopy Images. ICIAR 2017: 507-515 - [c1]Pedro Costa, Adrian Galdran, Maria Inês Meyer, Ana Maria Mendonça, Aurélio Campilho:
Adversarial Synthesis of Retinal Images from Vessel Trees. ICIAR 2017: 516-523 - [i2]Pedro Costa, Adrian Galdran, Maria Inês Meyer, Michael David Abràmoff, Meindert Niemeijer, Ana Maria Mendonça, Aurélio Campilho:
Towards Adversarial Retinal Image Synthesis. CoRR abs/1701.08974 (2017) - [i1]Adrian Galdran, Aitor Alvarez-Gila, Maria Inês Meyer, Cristina López Saratxaga, Teresa Araujo, Estíbaliz Garrote, Guilherme Aresta, Pedro Costa, Ana Maria Mendonça, Aurélio J. C. Campilho:
Data-Driven Color Augmentation Techniques for Deep Skin Image Analysis. CoRR abs/1703.03702 (2017)
Coauthor Index
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