Quantitative Magnetic Resonance Imaging: From Fingerprinting to Integrated Physics-Based Models. - Guozhi Dong; Michael Hintermüller; Kostas Papafitsoros (SIAM J. Imaging Sci., 2019)

Optimization with learning-informed differential equation constraints and its applications. - Guozhi Dong; Michael Hintermüller; Kostas Papafitsoros (CoRR, 2020)

Patch-Wise Adaptive Weights Smoothing in R. - Jörg Polzehl; Kostas Papafitsoros; Karsten Tabelow (J. Stat. Softw., 2020)

Bilevel training schemes in imaging for total-variation-type functionals with convex integrands. - Valerio Pagliari; Kostas Papafitsoros; Bogdan Raita; Andreas Vikelis (CoRR, 2021)

SeaTurtleID: A novel long-span dataset highlighting the importance of timestamps in wildlife re-identification. - Kostas Papafitsoros; Lukás Adam; Vojtech Cermák; Lukás Picek (CoRR, 2022)

Bilevel Training Schemes in Imaging for Total Variation-Type Functionals with Convex Integrands. - Valerio Pagliari; Kostas Papafitsoros; Bogdan Raibta; Andreas Vikelis (SIAM J. Imaging Sci., 2022)

Learning Regularization Parameter-Maps for Variational Image Reconstruction Using Deep Neural Networks and Algorithm Unrolling. - Andreas Kofler; Fabian Altekrüger; Fatima Antarou Ba; Christoph Kolbitsch; Evangelos Papoutsellis; David Schote; Clemens Sirotenko; Felix Frederik Zimmermann; Kostas Papafitsoros (SIAM J. Imaging Sci., 2023)

SeaTurtleID2022: A long-span dataset for reliable sea turtle re-identification. - Lukás Adam; Vojtech Cermák; Kostas Papafitsoros; Lukás Picek (WACV, 2024)

WildlifeDatasets: An open-source toolkit for animal re-identification. - Vojtech Cermák; Lukás Picek; Lukás Adam; Kostas Papafitsoros (WACV, 2024)

Nested Bregman Iterations for Decomposition Problems. - Tobias Wolf; Derek Driggs; Kostas Papafitsoros; Elena Resmerita; Carola-Bibiane Schönlieb (CoRR, 2024)

A Descent Algorithm for the Optimal Control of ReLU Neural Network Informed PDEs Based on Approximate Directional Derivatives. - Guozhi Dong; Michael Hintermüller; Kostas Papafitsoros (SIAM J. Optim., 2024)

Overview of LifeCLEF 2025: Challenges on Species Presence Prediction and Identification, and Individual Animal Identification. - Lukás Picek; Stefan Kahl; Hervé Goëau; Lukás Adam; Théo Larcher; César Leblanc; Maximilien Servajean; Klára Janousková; Jirí Matas; Vojtech Cermák; Kostas Papafitsoros; Robert Planqué; et al. (CLEF, 2025)

WildlifeReID-10k: Wildlife re-identification dataset with 10k individual animals. - Lukás Adam; Vojtech Cermák; Kostas Papafitsoros; Lukás Picek (CVPR Workshops, 2025)

LifeCLEF 2025 Teaser: Challenges on Species Presence Prediction and Identification, and Individual Animal Identification. - Alexis Joly; Lukás Picek; Stefan Kahl; Hervé Goëau; Lukás Adam; Christophe Botella; Maximilien Servajean; Diego Marcos; César Leblanc; Théo Larcher; Jirí Matas; Klára Janousková; et al. (ECIR (5), 2025)

Why do we Regularise in Every Iteration for Imaging Inverse Problems? - Evangelos Papoutsellis; Zeljko Kereta; Kostas Papafitsoros (SSVM (1), 2025)

Deep Unrolling for Learning Optimal Spatially Varying Regularisation Parameters for Total Generalised Variation. - Thanh Trung Vu; Andreas Kofler; Kostas Papafitsoros (SSVM (1), 2025)

Exploiting facial side similarities to improve AI-driven sea turtle photo-identification systems. - Lukás Adam; Kostas Papafitsoros; Claire Jean; Alan F. Rees; Vojtech Cermák (Ecol. Informatics, 2025)

Learning Spatially Adaptive ℓ1-Norms Weights for Convolutional Synthesis Regularization. - Andreas Kofler; Luca Calatroni; Christoph Kolbitsch; Kostas Papafitsoros (CoRR, 2025)