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ORCIDPedro L. Ballester
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2020 – today
- 2020
[c6]Eduardo H. P. Pooch, Pedro L. Ballester, Rodrigo C. Barros
:
Can We Trust Deep Learning Based Diagnosis? The Impact of Domain Shift in Chest Radiograph Classification. TIA@MICCAI 2020: 74-83- [c5]Eduardo H. P. Pooch, Pedro L. Ballester, Rodrigo C. Barros:
Semi-supervised Classification of Chest Radiographs. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 172-179
2010 – 2019
- 2019
- [j1]Christian S. Perone, Pedro L. Ballester, Rodrigo C. Barros, Julien Cohen-Adad:
Unsupervised domain adaptation for medical imaging segmentation with self-ensembling. NeuroImage 194: 1-11 (2019) - [i2]Eduardo H. P. Pooch, Pedro L. Ballester, Rodrigo C. Barros:
Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification. CoRR abs/1909.01940 (2019) - 2018
- [c4]Pedro L. Ballester, Ulisses Brisolara Corrêa, Ricardo Matsumura de Araújo:
Lateral Representation Learning in Convolutional Neural Networks. IJCNN 2018: 1-8 - [i1]Christian S. Perone, Pedro L. Ballester, Rodrigo C. Barros, Julien Cohen-Adad:
Unsupervised domain adaptation for medical imaging segmentation with self-ensembling. CoRR abs/1811.06042 (2018) - 2016
- [c3]Pedro L. Ballester, Ricardo Matsumura de Araújo:
On the Performance of GoogLeNet and AlexNet Applied to Sketches. AAAI 2016: 1124-1128 - 2015
- [c2]Matheus Machado dos Santos, Pedro L. Ballester, Guilherme Brunei Zaffari, Paulo Drews Jr., Silvia Botelho:
A Topological Descriptor of Acoustic Images for Navigation and Mapping. LARS/SBR 2015: 289-294 - 2014
- [c1]Felipe Guth, Luan Silveira, Silvia Silva da Costa Botelho, Paulo Drews Jr., Pedro L. Ballester:
Underwater SLAM: Challenges, state of the art, algorithms and a new biologically-inspired approach. BioRob 2014: 981-986
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