@article{PennigHoyerKrauskopfetal.2021,
  author    = {Pennig, Lenhard and Hoyer, Ulrike Cornelia Isabel and Krauskopf, Alexandra and Shahzad, Rahil and J{\"u}nger, Stephanie T. and Thiele, Frank and Laukamp, Kai Roman and Grunz, Jan-Peter and Perkuhn, Michael and Schlamann, Marc and Kabbasch, Christoph and Borggrefe, Jan and Goertz, Lukas},
  title     = {Deep learning assistance increases the detection sensitivity of radiologists for secondary intracranial aneurysms in subarachnoid hemorrhage},
  series = {Neuroradiology},
  volume    = {63},
  journal   = {Neuroradiology},
  number    = {12},
  issn      = {0028-3940},
  doi       = {10.1007/s00234-021-02697-9},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-308117},
  pages     = {1985-1994},
  year      = {2021},
  abstract  = {Purpose To evaluate whether a deep learning model (DLM) could increase the detection sensitivity of radiologists for intracranial aneurysms on CT angiography (CTA) in aneurysmal subarachnoid hemorrhage (aSAH). Methods Three different DLMs were trained on CTA datasets of 68 aSAH patients with 79 aneurysms with their outputs being combined applying ensemble learning (DLM-Ens). The DLM-Ens was evaluated on an independent test set of 104 aSAH patients with 126 aneuryms (mean volume 129.2 ± 185.4 mm3, 13.0\% at the posterior circulation), which were determined by two radiologists and one neurosurgeon in consensus using CTA and digital subtraction angiography scans. CTA scans of the test set were then presented to three blinded radiologists (reader 1: 13, reader 2: 4, and reader 3: 3 years of experience in diagnostic neuroradiology), who assessed them individually for aneurysms. Detection sensitivities for aneurysms of the readers with and without the assistance of the DLM were compared. Results In the test set, the detection sensitivity of the DLM-Ens (85.7\%) was comparable to the radiologists (reader 1: 91.2\%, reader 2: 86.5\%, and reader 3: 86.5\%; Fleiss κ of 0.502). DLM-assistance significantly increased the detection sensitivity (reader 1: 97.6\%, reader 2: 97.6\%,and reader 3: 96.0\%; overall P=.024; Fleiss κ of 0.878), especially for secondary aneurysms (88.2\% of the additional aneurysms provided by the DLM). Conclusion Deep learning significantly improved the detection sensitivity of radiologists for aneurysms in aSAH, especially for secondary aneurysms. It therefore represents a valuable adjunct for physicians to establish an accurate diagnosis in order to optimize patient treatment.},
  language  = {en}
}
@article{LenhardMintenLenhard2023,
  author    = {Lenhard, Alexandra and Minten, Marie-Pierre and Lenhard, Wolfgang},
  title     = {When biology takes over: TV formats like The Bachelor and The Bachelorette confirm evolutionary theories of partner selection},
  series = {Frontiers in Psychology},
  volume    = {14},
  journal   = {Frontiers in Psychology},
  issn      = {1664-1078},
  doi       = {10.3389/fpsyg.2023.1219915},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-325717},
  year      = {2023},
  abstract  = {Introduction: In this study, we investigated the impact of age on mate selection preferences in males and females, and explored how the formation and duration of committed relationships depend on the sex of the person making the selection. Methods: To this end, we utilized data from the television dating shows The Bachelor and The Bachelorette. In these programs, either a single man ("bachelor") or a woman ("bachelorette") has the opportunity to select a potential long-term partner from a pool of candidates. Our analysis encompassed a total of n = 169 seasons from 23 different countries, beginning with the first airing in 2002. Results: We found that the likelihood of the final couple continuing their relationship beyond the broadcast was higher in The Bachelorette than in The Bachelor, although the duration of these relationships was not significantly influenced by the type of show. On average, women were younger, both when selecting their partner and when being chosen. However, men exhibited a greater preference for larger age differences than women. Furthermore, the age of the chosen male partners significantly increased with the age of the "bachelorettes," whereas "bachelors" consistently favored women around 25.5 years old, regardless of their own age. Discussion: We discuss these findings within the context of parental investment theory and sexual strategies theory.},
  language  = {en}
}
@article{LenhardLenhardGary2019,
  author    = {Lenhard, Alexandra and Lenhard, Wolfgang and Gary, Sebastian},
  title     = {Continuous norming of psychometric tests: A simulation study of parametric and semi-parametric approaches},
  series = {PLoS ONE},
  volume    = {14},
  journal   = {PLoS ONE},
  number    = {9},
  doi       = {10.1371/journal.pone.0222279},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-200480},
  pages     = {e0222279},
  year      = {2019},
  abstract  = {Continuous norming methods have seldom been subjected to scientific review. In this simulation study, we compared parametric with semi-parametric continuous norming methods in psychometric tests by constructing a fictitious population model within which a latent ability increases with age across seven age groups. We drew samples of different sizes (n = 50, 75, 100, 150, 250, 500 and 1,000 per age group) and simulated the results of an easy, medium, and difficult test scale based on Item Response Theory (IRT). We subjected the resulting data to different continuous norming methods and compared the data fit under the different test conditions with a representative cross-validation dataset of n = 10,000 per age group. The most significant differences were found in suboptimal (i.e., too easy or too difficult) test scales and in ability levels that were far from the population mean. We discuss the results with regard to the selection of the appropriate modeling techniques in psychometric test construction, the required sample sizes, and the requirement to report appropriate quantitative and qualitative test quality criteria for continuous norming methods in test manuals.},
  language  = {en}
}
@misc{Lenhard2002,
  type      = {Master Thesis},
  author    = {Lenhard, Alexandra},
  title     = {Intra- and intermanual transfer of adaptation to unnoticed virtual displacement under terminal and continuous visual feedback},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-23889},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2002},
  abstract  = {Versuchspersonen trainierten mit der rechten Hand Zielbewegungen zu verschiedenen Zielen unter terminalem oder kontinuierlichem visuellem Feedback. F{\"u}r eines der Ziele wurde die visuelle R{\"u}ckmeldung so manipuliert, dass Bewegungen zu diesem Ziel k{\"u}rzer wirkten, als sie tats{\"a}chlich waren. Nach dem Training sollten die gleichen Ziele sowohl mit der trainierten rechten als auch mit der untrainierten linken Hand erreicht werden. Bewegungen der rechten Hand passten sich an die unbemerkte visuelle Transformation an. Die Adaptation war unter kontinuierlichem Feedback schw{\"a}cher als unter terminalem. Außerdem generalisierte die Adapation nur unter terminalem, aber nicht unter kontinuierlichem Feedback, auf andere Zielbewegungen in die gleiche Richtung, aber nicht auf Zielbewegungen in die entgegengesetzte Richtung. Bewegungen der untrainierten linken Hand zeigten qualitativ die gleichen adaptationsbedingten Ver{\"a}nderungen wie Bewegungen der rechten Hand. Die Ergebnisse sprechen f{\"u}r die Annahme, dass beim Training der rechten Hand eine effektorunabh{\"a}ngige r{\"a}umliche Repr{\"a}sentation ver{\"a}ndert wird, auf die bei der Steuerung beider H{\"a}nde zur{\"u}ckgegriffen wird.},
  subject      = {Motorisches Lernen},
  language  = {en}
}
@article{GaryLenhardLenhard2021,
  author    = {Gary, Sebastian and Lenhard, Wolfgang and Lenhard, Alexandra},
  title     = {Modelling norm scores with the cNORM package in R},
  series = {Psych},
  volume    = {3},
  journal   = {Psych},
  number    = {3},
  issn      = {2624-8611},
  doi       = {10.3390/psych3030033},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-284143},
  pages     = {501 -- 521},
  year      = {2021},
  abstract  = {In this article, we explain and demonstrate how to model norm scores with the cNORM package in R. This package is designed specifically to determine norm scores when the latent ability to be measured covaries with age or other explanatory variables such as grade level. The mathematical method used in this package draws on polynomial regression to model a three-dimensional hyperplane that smoothly and continuously captures the relation between raw scores, norm scores and the explanatory variable. By doing so, it overcomes the typical problems of classical norming methods, such as overly large age intervals, missing norm scores, large amounts of sampling error in the subsamples or huge requirements with regard to the sample size. After a brief introduction to the mathematics of the model, we describe the individual methods of the package. We close the article with a practical example using data from a real reading comprehension test.},
  language  = {en}
}