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2020 – today
- 2024
[i4]Robin C. Geyer, Alessandro Torcinovich, João B. S. Carvalho, Alexander Meyer, Joachim M. Buhmann:
Measuring Orthogonality in Representations of Generative Models. CoRR abs/2407.03728 (2024)- 2023
- [c5]João B. S. Carvalho, Carlos Cotrini, Fabian Laumer, André Euler, Katharina Martini, Thomas Frauenfelder, Joachim M. Buhmann:
Domain Generalization for Diagnosis of Pulmonary Fibrosis Using Dose-Invariant Feature Selection. ISBI 2023: 1-5 - [c4]João B. S. Carvalho, Mengtao Zhang, Robin Geyer, Carlos Cotrini, Joachim M. Buhmann:
Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective. NeurIPS 2023 - [i3]Lukas Klein, João B. S. Carvalho, Mennatallah El-Assady, Paolo Penna, Joachim M. Buhmann, Paul F. Jaeger:
Improving Explainability of Disentangled Representations using Multipath-Attribution Mappings. CoRR abs/2306.09035 (2023) - [i2]João B. S. Carvalho, Mengtao Zhang, Robin Geyer, Carlos Cotrini, Joachim M. Buhmann:
Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective. CoRR abs/2312.14329 (2023) - 2022
- [c3]João B. S. Carvalho, João A. Santinha, Djordje Miladinovic, Carlos Cotrini, Joachim M. Buhmann:
Holistic Modeling In Medical Image Segmentation Using Spatial Recurrence. MIDL 2022: 199-218 - [c2]Lukas Klein, João B. S. Carvalho, Mennatallah El-Assady, Paolo Penna, Joachim M. Buhmann, Paul F. Jaeger:
Improving Explainability of Disentangled Representations using Multipath-Attribution Mappings. MIDL 2022: 689-712 - 2021
- [i1]João B. S. Carvalho, João A. Santinha, Djordje Miladinovic, Joachim M. Buhmann:
Spatially Dependent U-Nets: Highly Accurate Architectures for Medical Imaging Segmentation. CoRR abs/2103.11713 (2021)
2010 – 2019
- 2019
- [c1]João B. S. Carvalho, José-Maria Moreira
, Mário A. T. Figueiredo, Nikolaos Papanikolaou:
Automatic Detection and Segmentation of Lung Lesions using Deep Residual CNNs. BIBE 2019: 977-983
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