@article{Maass1994,
  author    = {Maaß, Peter},
  title     = {Wavelet galerkin methods for inverse problems},
  year      = {1994},
  language  = {en}
}
@unpublished{MaassPereverzevRamlauetal.1998,
  author    = {Maaß, Peter and Pereverzev, Sergei V. and Ramlau, Ronny and Solodky, Sergei G.},
  title     = {An adaptive discretization for Tikhonov-Phillips regularization with a posteriori parameter selection},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-14739},
  year      = {1998},
  abstract  = {The aim of this paper is to describe an efficient strategy for descritizing ill-posed linear operator equations of the first kind: we consider Tikhonov-Phillips-regularization χ^δ α = (a * a + α I)^-1 A * y ^δ with a finite dimensional approximation A n instead of A. We propose a sparse matrix structure which still leads to optimal convergences rates but requires substantially less scalar products for computing A n compared with standard methods.},
  language  = {en}
}
@article{MaassPereverzevRamlauetal.1998,
  author    = {Maaß, Peter and Pereverzev, Sergei V. and Ramlau, Ronny and Solodky, Sergei G.},
  title     = {An adaptive discretization for Tikhonov-Phillips regularization with a posteriori parameter selection},
  series = {Preprint NLD},
  volume    = {48},
  journal   = {Preprint NLD},
  publisher = {Univ. Potsdam},
  address   = {Potsdam},
  issn      = {1432-2935},
  pages     = {19 S.},
  year      = {1998},
  language  = {en}
}
@article{MaassRamlau1996,
  author    = {Maaß, Peter and Ramlau, Ronny},
  title     = {Wavelet accelerated iteration methods for hyperthermia treatment planning},
  year      = {1996},
  language  = {en}
}
@unpublished{MaassRieder1996,
  author    = {Maaß, Peter and Rieder, Andreas},
  title     = {Wavelet-accelerated Tikhonov-Phillips regularization with applications},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-14104},
  year      = {1996},
  abstract  = {Contents: 1 Introduction 1.1 Tikhanov-Phillips Regularization of Ill-Posed Problems 1.2 A Compact Course to Wavelets 2 A Multilevel Iteration for Tikhonov-Phillips Regularization 2.1 Multilevel Splitting 2.2 The Multilevel Iteration 2.3 Multilevel Approach to Cone Beam Reconstuction 3 The use of approximating operators 3.1 Computing approximating families {Ah}},
  language  = {en}
}
@book{MaassRieder1996,
  author    = {Maaß, Peter and Rieder, Andreas},
  title     = {Wavelet-accelerated Tikhonov-Phillips regularization with applications},
  series = {Preprint NLD},
  volume    = {30},
  journal   = {Preprint NLD},
  publisher = {Univ.},
  address   = {Potsdam},
  pages     = {25 S.},
  year      = {1996},
  language  = {en}
}
@misc{MaassKuehneHeinzeetal.2022,
  author    = {Maaß, Ulrike and K{\"u}hne, Franziska and Heinze, Peter Eric and Ay-Bryson, Destina Sevde and Weck, Florian},
  title     = {The concise measurement of clinical communication skills},
  series = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Humanwissenschaftliche Reihe},
  journal   = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Humanwissenschaftliche Reihe},
  number    = {820},
  issn      = {1866-8364},
  doi       = {10.25932/publishup-58264},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-582642},
  pages     = {10},
  year      = {2022},
  abstract  = {Objective: There is a lack of brief rating scales for the reliable assessment of psychotherapeutic skills, which do not require intensive rater training and/or a high level of expertise. Thus, the objective is to validate a 14-item version of the Clinical Communication Skills Scale (CCSS-S). Methods: Using a sample of N = 690 video-based ratings of role-plays with simulated patients, we calculated a confirmatory factor analysis and an exploratory structural equation modeling (ESEM), assessed convergent validities, determined inter-rater reliabilities and compared these with those who were either psychology students, advanced psychotherapy trainees, or experts. Results: Correlations with other competence rating scales were high (rs > 0.86-0.89). The intraclass correlations ranged between moderate and good [ICC(2,2) = 0.65-0.80], with student raters yielding the lowest scores. The one-factor model only marginally replicated the data, but the internal consistencies were excellent (α = 0.91-95). The ESEM yielded a two-factor solution (Collaboration and Structuring and Exploration Skills). Conclusion: The CCSS-S is a brief and valid rating scale that reliably assesses basic communication skills, which is particularly useful for psychotherapy training using standardized role-plays. To ensure good inter-rater reliabilities, it is still advisable to employ raters with at least some clinical experience. Future studies should further investigate the one- or two-factor structure of the instrument.},
  language  = {en}
}
@article{MaassKuehneHeinzeetal.2022,
  author    = {Maaß, Ulrike and K{\"u}hne, Franziska and Heinze, Peter Eric and Ay-Bryson, Destina Sevde and Weck, Florian},
  title     = {The concise measurement of clinical communication skills},
  series = {Frontiers in Psychiatry},
  volume    = {13},
  journal   = {Frontiers in Psychiatry},
  publisher = {Frontiers},
  address   = {Lausanne, Schweiz},
  issn      = {1664-0640},
  doi       = {10.3389/fpsyt.2022.977324},
  pages     = {10},
  year      = {2022},
  abstract  = {Objective: There is a lack of brief rating scales for the reliable assessment of psychotherapeutic skills, which do not require intensive rater training and/or a high level of expertise. Thus, the objective is to validate a 14-item version of the Clinical Communication Skills Scale (CCSS-S). Methods: Using a sample of N = 690 video-based ratings of role-plays with simulated patients, we calculated a confirmatory factor analysis and an exploratory structural equation modeling (ESEM), assessed convergent validities, determined inter-rater reliabilities and compared these with those who were either psychology students, advanced psychotherapy trainees, or experts. Results: Correlations with other competence rating scales were high (rs > 0.86-0.89). The intraclass correlations ranged between moderate and good [ICC(2,2) = 0.65-0.80], with student raters yielding the lowest scores. The one-factor model only marginally replicated the data, but the internal consistencies were excellent (α = 0.91-95). The ESEM yielded a two-factor solution (Collaboration and Structuring and Exploration Skills). Conclusion: The CCSS-S is a brief and valid rating scale that reliably assesses basic communication skills, which is particularly useful for psychotherapy training using standardized role-plays. To ensure good inter-rater reliabilities, it is still advisable to employ raters with at least some clinical experience. Future studies should further investigate the one- or two-factor structure of the instrument.},
  language  = {en}
}