Zobrazeno 1 - 10
of 198
pro vyhledávání: '"Peter Maaß"'
Publikováno v:
Environmental Data Science, Vol 2 (2023)
In climate modeling, the stratospheric ozone layer is typically only considered in a highly simplified form due to computational constraints. For climate projections, it would be of advantage to include the mutual interactions between stratospheric o
Externí odkaz:
https://doaj.org/article/1f7ee32237ab41e2af34a5df0e513c7d
Publikováno v:
Scientific Data, Vol 8, Iss 1, Pp 1-12 (2021)
Measurement(s) Low Dose Computed Tomography of the Chest • feature extraction objective Technology Type(s) digital curation • image processing technique Sample Characteristic - Organism Homo sapiens Machine-accessible metadata file describing the
Externí odkaz:
https://doaj.org/article/6a2f386a28994aa6a8db73f70a355873
Autor:
Charlotte Janßen, Tobias Boskamp, Jean Le’Clerc Arrastia, Daniel Otero Baguer, Lena Hauberg-Lotte, Mark Kriegsmann, Katharina Kriegsmann, Georg Steinbuß, Rita Casadonte, Jörg Kriegsmann, Peter Maaß
Publikováno v:
Cancers, Vol 14, Iss 24, p 6181 (2022)
Artificial intelligence (AI) has shown potential for facilitating the detection and classification of tumors. In patients with non-small cell lung cancer, distinguishing between the most common subtypes, adenocarcinoma (ADC) and squamous cell carcino
Externí odkaz:
https://doaj.org/article/11d22729f861406ea83017b8d8584f5a
Autor:
Philipp Jansen, Daniel Otero Baguer, Nicole Duschner, Jean Le’Clerc Arrastia, Maximilian Schmidt, Bettina Wiepjes, Dirk Schadendorf, Eva Hadaschik, Peter Maass, Jörg Schaller, Klaus Georg Griewank
Publikováno v:
Cancers, Vol 14, Iss 14, p 3518 (2022)
Background: Some of the most common cutaneous neoplasms are Bowen’s disease and seborrheic keratosis, a malignant and a benign proliferation, respectively. These entities represent a significant fraction of a dermatopathologists’ workload, and in
Externí odkaz:
https://doaj.org/article/da62c2060e294d80b1805adc28efdf4f
Publikováno v:
Journal of Imaging, Vol 8, Iss 7, p 202 (2022)
In recent years, numerous deep-learning approaches have been developed for the analysis of histopathology Whole Slide Images (WSI). A recurrent issue is the lack of generalization ability of a model that has been trained with images of one laboratory
Externí odkaz:
https://doaj.org/article/54b8e27fa5e9433cac9bc5df14b3531f
Publikováno v:
Journal of Imaging, Vol 7, Iss 11, p 243 (2021)
Over recent years, deep learning methods have become an increasingly popular choice for solving tasks from the field of inverse problems. Many of these new data-driven methods have produced impressive results, although most only give point estimates
Externí odkaz:
https://doaj.org/article/0a745086f3d24cb58d64562b47d9acde
Autor:
Jean Le’Clerc Arrastia, Nick Heilenkötter, Daniel Otero Baguer, Lena Hauberg-Lotte, Tobias Boskamp, Sonja Hetzer, Nicole Duschner, Jörg Schaller, Peter Maass
Publikováno v:
Journal of Imaging, Vol 7, Iss 4, p 71 (2021)
Accurate and fast assessment of resection margins is an essential part of a dermatopathologist’s clinical routine. In this work, we successfully develop a deep learning method to assist the dermatopathologists by marking critical regions that have
Externí odkaz:
https://doaj.org/article/4ce6abaf685c4ae9b692fe1cc3c512f4
Autor:
Johannes Leuschner, Maximilian Schmidt, Poulami Somanya Ganguly, Vladyslav Andriiashen, Sophia Bethany Coban, Alexander Denker, Dominik Bauer, Amir Hadjifaradji, Kees Joost Batenburg, Peter Maass, Maureen van Eijnatten
Publikováno v:
Journal of Imaging, Vol 7, Iss 3, p 44 (2021)
The reconstruction of computed tomography (CT) images is an active area of research. Following the rise of deep learning methods, many data-driven models have been proposed in recent years. In this work, we present the results of a data challenge tha
Externí odkaz:
https://doaj.org/article/a9c9ce94377745e8adb2466faaf9be04
Publikováno v:
Abstract and Applied Analysis, Vol 2008 (2008)
Tikhonov functionals are known to be well suited for obtaining regularized solutions of linear operator equations. We analyze two iterative methods for finding the minimizer of norm-based Tikhonov functionals in Banach spaces. One is the steepest des
Externí odkaz:
https://doaj.org/article/2609ed6c15844aba919413de4ff04c58
This open access book contains the research report of the Collaborative Research Center “Micro Cold Forming” (SFB 747) of the University of Bremen, Germany. The topical research focus lies on new methods and processes for a mastered mass producti