- Data-driven methods for quantitative imaging, [arxiv]
G. Dong, M. Flaschel, M. Hintermüller, K. Papafitsoros, C. Sirotenko, K. Tabelow, submitted, (2024) - Machine learning for quantitative MR image reconstruction, [arxiv]
A. Kofler, F. F. Zimmermann, K. Papafitsoros, submitted, (2024) - SeaTurtleID2022: A long-span dataset for reliable sea turtle re-identification, [arxiv] [DOI]
L. Adam, V. Cermak, K. Papafitsoros, L. Picek, 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), (2024). - WildlifeDatasets: An open source toolkit for animal re-identification, [arxiv] [DOI]
V. Cermak, L. Picek, L. Adam, K. Papafitsoros, 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), (2024). - Learning regularization parameter-maps for variational image reconstruction using deep neural networks and algorithm unrolling, [arxiv] [DOI]
A. Kofler, F. Altekrüger, F.A. Ba, C. Kolbitsch, E. Papoutsellis, D. Schote, C. Sirotenko, F.F. Zimmermann, K. Papafitsoros, SIAM Journal on Imaging Sciences, 16(4), 2202-2246, (2023). - A social media-based framework for quantifying temporal changes to wildlife viewing intensity, [DOI]
K. Papafitsoros, L. Adam, G. Schofield, Ecological Modelling 476, 110223, (2023). [Press release 1, Press release 2] - SeaTurtleID: A novel long-span dataset highlighting the importance of timestamps in wildlife re-identification, [arxiv]
K. Papafitsoros, L. Adam, V. Cermak, L. Picek, (2022). - A descent algorithm for the optimal control of ReLU neural network informed PDEs based on approximate directional derivatives, [arxiv]
G. Dong, M. Hintermüller, K. Papafitsoros, submitted, (2022). - First-order conditions for the optimal control of learning-informed nonsmooth PDEs, [arxiv]
G. Dong, M. Hintermüller, K. Papafitsoros, K. Völkner, submitted, (2022). - Bilevel training schemes in imaging for total-variation-type functionals with convex integrands, [DOI]
V. Pagliari, K. Papafitsoros, B. Raita, A, Vikelis, SIAM Journal on Imaging Sciences, 15(4), 1690-1728, (2022). - Dualization and automatic distributed parameter selection of total generalized variation via bilevel optimization, [DOI]
M. Hintermüller, K. Papafitsoros, C.N. Rautenberg, H. Sun, Numerical Functional Analysis and Optimization, (2022). - Optimization with learning-informed differential equation constraints and its applications, [DOI]
G. Dong, M. Hintermüller, K. Papafitsoros, ESAIM: Control, Optimisation and Calculus of Variations, (2022). - Social media reveals consistently disproportionate tourism pressure on a threatened marine vertebrate, [biorXiv], [Visual abstract], [DOI]
Kostas Papafitsoros, Aliki Panagopoulou, Gail Schofield, Animal Conservation, Volume 24, Issue 4, (2021). - Variable step mollifiers and applications, [DOI],
M. Hintermüller, K. Papafitsoros, C.N. Rautenberg, Integral Equations and Operator Theory, vol. 92, no. 53, (2020). - Patch-wise adaptive weights smoothing, [DOI]
J. Polzehl, K. Papafitsoros, K. Tabelow, Journal of Statistical Software, vol. 95, no. 6, 1-27, (2020). - Generating structured non-smooth priors and associated primal-dual methods, [DOI]
M. Hintermüller, K. Papafitsoros, Handbook of Numerical Analysis, volume 20, 437-502, (2019). - Analysis and automatic parameter selection of a variational model for mixed Gaussian and Salt & Pepper noise removal, [DOI],
L. Calatroni, K. Papafitsoros, Inverse Problems vol. 35, no. 11, 114001, (2019). - Quantitative Magnetic Resonance Imaging: From fingerprinting to integrated physics-based models, [DOI],
G. Dong, M. Hintermüller, K. Papafitsoros, SIAM Journal on Imaging Sciences, 12(2), 927-971, (2019). - A function space framework for structural total variation regularization with applications in inverse problems, [DOI]
M. Hintermüller, M. Holler and K. Papafitsoros, Inverse Problems, vol. 34, no. 6, 064002, (2018). - Analytical aspects of spatially adapted total variation regularisation, [DOI]
M. Hintermüller, K. Papafitsoros and C.N. Rautenberg, Journal of Mathematical Analysis and Applications, vol. 454, no. 2, 891-935, (2017), - Infimal convolution regularisation functionals of BV and L^p spaces. Part I: the finite p case, [DOI]
M. Burger, K. Papafitsoros, E. Papoutsellis and C.B. Schönlieb, Journal of Mathematical Imaging and Vision, 55, no. 3, 343-369, (2016). - Analysis and application of a non-local Hessian, [DOI]
J. Lellmann, K. Papafitsoros, C.B. Schönlieb and D. Spector, SIAM Journal on Imaging Sciences, 8-4, 2161-2202, (2015). - A study of the one dimensional total generalised variation regularisation problem, [DOI]
K. Papafitsoros and K. Bredies, Inverse Problems and Imaging, vol. 9, no. 2, 511-550, (2015). - Combined first and second order total variation inpainting using split Bregman, [DOI]
K. Papafitsoros, C.B. Schönlieb and B. Sengul, Image Processing Online, 112-136, (2013). - A combined first and second order variational approach for image reconstruction, [DOI]
K. Papafitsoros and C.B. Schönlieb, Journal of Mathematical Imaging and Vision, 48, no. 2, 308-338, (2014).
Publications in refereed conference proceedings:
Publications in environmental conservation:
- Unrolled three-operator splitting for parameter-map learning in low dose X-ray CT reconstruction, [arxiv]
A. Kofler, C. Sirotenko, F. Zimmermann, D. Schote, C. Kolbitsch, F. Antarou Ba, F. Altekrüger, E. Papoutsellis, K. Papafitsoros, Fully 3D Image Reconstruction in Radiology and Nuclear Medicine (Fully3D 2023), 2023. - CNN-based estimation of spatio-temporal regularization parameter-maps for TV-reconstruction in dynamic cardiac MRI,
A. Kofler, C. Sirotenko, F. Zimmermann, D. Schote, C. Kolbitsch, F. Antarou Ba, F. Altekrüger, E. Papoutsellis, K. Papafitsoros, accepted to International Society for Magnetic Resonance in Medicine ISMRM 2023. - Infimal convolution regularisation functionals of BV and L^p spaces. The case p=infinity, [arxiv] [DOI]
M. Burger, K. Papafitsoros, E. Papoutsellis and C.B. Schönlieb, CSMO 2015, IFIP Advances in Information and Communication Technology, vol. 494, 169-179, (2016). - Asymptotic behaviour of total generalised variation, [arxiv] [DOI]
K. Papafitsoros and T. Valkonen, Scale Space and Variational Methods in Computer Vision, Lecture Notes in Computer Science vol. 9087, 702-714, (2015).
Publications in environmental conservation:
- Underreported in-water behaviours of the loggerhead sea turtle: Foraging on sea cucumbers, [biorXiv] [MTB]
Kostas Papafitsoros, MedTurtle Bulletin 3, (2023) - Underreported in-water behaviours of the loggerhead sea turtle: Getting buried in the sand, [biorXiv] [MTB]
Kostas Papafitsoros, MedTurtle Bulletin 2, (2022) - Social media mining and photo-identification detects the shift of long-term seasonal foraging habitat for a juvenile loggerhead sea turtle, [biorXiv] [MTB]
Kostas Papafitsoros, MedTurtle Bulletin 1, (2022). - More aggressive sea turtles win fights over foraging resources independent of body size and site occupancy, [DOI]
Gail Schofield, Kostas Papafitsoros, Chloe Chapman, Akanksha Shah, Lucy Westover, Liam Dickson, Kostas Katselidis, Animal Behaviour, (2022). - Photo-identification confirms polyandry in loggerhead sea turtles, [DOI]
Kostas Papafitsoros, Charalampos Dimitriadis, Antonios Mazaris, Gail Schofield, Marine Ecology, e12696, (2022). - Long-term photo-id and satellite tracking reveal sex-biased survival linked to movements in an endangered species, [DOI], [Visual abstract]
Gail Schofield, Marcel Klaassen, Kostas Papafitsoros, Martin Lilley, Kostas Katselidis, Graeme Hays, Ecology, (2020). - Complex movement patterns by loggerhead sea turtles outside the breeding season identified using Fastloc-GPS, [DOI]
Antoine Dujon, Gail Schofield, Rebecca Lester, Kostas Papafitsoros, Graeme Hays, Marine Ecology, Volume 39, Issue 1, e12489 (2018). - Aerial and underwater surveys reveal temporal variation in cleaning-station use by sea turtles at a temperate breeding area, [DOI]
Gail Schofield, Kostas Papafitsoros, Rebecca Haughey, Kostas Katselidis, Marine Ecology Progress series 575:153-164 (2017).
PhD Thesis:
- Novel higher order regularisation methods for image reconstruction, University of Cambridge, 2014. [Cambridge Repository]
Links of collaborators:
- Lukas Adam
- Kristian Bredies
- Martin Burger
- Luca Calatroni
- Guozhi Dong
- Michael Hintermüller
- Martin Holler
- Andreas Kofler
- Jan Lellmann
- Valerio Pagliari
- Evangelos Papoutsellis
- Jörg Polzehl
- Bogdan Raita
- Carlos Rautenberg
- Carola-Bibiane Schönlieb
- Gail Schofield
- Bati Sengul
- Hongpeng Sun
- Daniel Spector
- Karsten Tabelow
- Tuomo Valkonen
- Kathrin Völkner
- Andreas Vikelis