Automatic Detection and Segmentation of Lung Lesions using Deep Residual CNNs. - João B. S. Carvalho; José-Maria Moreira; Mário A. T. Figueiredo; Nikolaos Papanikolaou 003 (BIBE, 2019)

Spatially Dependent U-Nets: Highly Accurate Architectures for Medical Imaging Segmentation. - João B. S. Carvalho; João A. Santinha; Djordje Miladinovic; Joachim M. Buhmann (CoRR, 2021)

Holistic Modeling In Medical Image Segmentation Using Spatial Recurrence. - João B. S. Carvalho; João A. Santinha; Djordje Miladinovic; Carlos Cotrini; Joachim M. Buhmann (MIDL, 2022)

Improving Explainability of Disentangled Representations using Multipath-Attribution Mappings. - Lukas Klein; João B. S. Carvalho; Mennatallah El-Assady; Paolo Penna; Joachim M. Buhmann; Paul F. Jaeger (MIDL, 2022)

Domain Generalization for Diagnosis of Pulmonary Fibrosis Using Dose-Invariant Feature Selection. - João B. S. Carvalho; Carlos Cotrini; Fabian Laumer; André Euler; Katharina Martini; Thomas Frauenfelder; Joachim M. Buhmann (ISBI, 2023)

Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective. - João B. S. Carvalho; Mengtao Zhang; Robin Geyer 002; Carlos Cotrini; Joachim M. Buhmann (NeurIPS, 2023)

Measuring Orthogonality in Representations of Generative Models. - Robin C. Geyer; Alessandro Torcinovich; João B. S. Carvalho; Alexander Meyer; Joachim M. Buhmann (Trans. Mach. Learn. Res., 2024)

Rethinking Robustness in Machine Learning: A Posterior Agreement Approach. - João B. S. Carvalho; Alessandro Torcinovich; Victor Jimenez Rodriguez; Antonio Emanuele Cinà; Carlos Cotrini; Lea Schönherr; Joachim M. Buhmann (CoRR, 2025)