Zobrazeno 1 - 10
of 172
pro vyhledávání: '"Peter Mildenberger"'
Autor:
Tobias Jorg, Moritz C. Halfmann, Fabian Stoehr, Gordon Arnhold, Annabell Theobald, Peter Mildenberger, Lukas Müller
Publikováno v:
Insights into Imaging, Vol 15, Iss 1, Pp 1-10 (2024)
Abstract Objectives Artificial intelligence (AI) has tremendous potential to help radiologists in daily clinical routine. However, a seamless, standardized, and time-efficient way of integrating AI into the radiology workflow is often lacking. This c
Externí odkaz:
https://doaj.org/article/7020f98735e247858aced271a48c6838
Autor:
Lukas Müller, Dativa Tibyampansha, Peter Mildenberger, Torsten Panholzer, Florian Jungmann, Moritz C. Halfmann
Publikováno v:
BMC Medical Imaging, Vol 23, Iss 1, Pp 1-12 (2023)
Abstract Purpose Kidney volume is important in the management of renal diseases. Unfortunately, the currently available, semi-automated kidney volume determination is time-consuming and prone to errors. Recent advances in its automation are promising
Externí odkaz:
https://doaj.org/article/cd9ea8f4295c4212b511506a84ed9d6e
Autor:
Fabian Stoehr, Benedikt Kämpgen, Lukas Müller, Laura Oleaga Zufiría, Vanesa Junquero, Cristina Merino, Peter Mildenberger, Roman Kloeckner
Publikováno v:
Insights into Imaging, Vol 14, Iss 1, Pp 1-9 (2023)
Abstract Background Written medical examinations consist of multiple-choice questions and/or free-text answers. The latter require manual evaluation and rating, which is time-consuming and potentially error-prone. We tested whether natural language p
Externí odkaz:
https://doaj.org/article/6a529990026f43fa8ad9925ba129334b
Autor:
Tobias Jorg, Moritz C. Halfmann, Gordon Arnhold, Daniel Pinto dos Santos, Roman Kloeckner, Christoph Düber, Peter Mildenberger, Florian Jungmann, Lukas Müller
Publikováno v:
Insights into Imaging, Vol 14, Iss 1, Pp 1-10 (2023)
Abstract Background To evaluate the implementation process of structured reporting (SR) in a tertiary care institution over a period of 7 years. Methods We analysed the content of our image database from January 2016 to December 2022 and compared the
Externí odkaz:
https://doaj.org/article/713ce9cc9d0645ca8e94cde43162a3c1
Autor:
Tobias Jorg, Benedikt Kämpgen, Dennis Feiler, Lukas Müller, Christoph Düber, Peter Mildenberger, Florian Jungmann
Publikováno v:
Insights into Imaging, Vol 14, Iss 1, Pp 1-9 (2023)
Key points 1. We developed an NLP-based reporting tool that converts free text into structured reports. 2. The reporting tool sends visual feedback if relevant findings are missed. 3. Testing with text samples and original free-text reports revealed
Externí odkaz:
https://doaj.org/article/e11164eee7944bba925a76a34bed1e95
Autor:
Fabian Stoehr, Lukas Müller, Adrian P. Brady, Carlo Catalano, Peter Mildenberger, Aline Mähringer-Kunz, Felix Hahn, Christoph Düber, Erkan Celik, Elisabeth Diehl, Pavel Dietz, Daniel Pinto dos Santos, Roman Kloeckner
Publikováno v:
Insights into Imaging, Vol 12, Iss 1, Pp 1-9 (2021)
Abstract Background Due to the outbreak of the coronavirus disease 2019 (COVID-19), it proved necessary to rapidly change medical education from on-site to online teaching. Thus, medical educators were forced to rethink the purpose of teaching and th
Externí odkaz:
https://doaj.org/article/4ebfb70de02a4c9393744d0f566f1db1
Autor:
Daniel Pinto dos Santos, Conrad Friese, Jan Borggrefe, Peter Mildenberger, Aline Mähringer-Kunz, Roman Kloeckner
Publikováno v:
Diagnostic and Interventional Radiology, Vol 26, Iss 1, Pp 22-27 (2020)
PURPOSEWe aimed to evaluate the influence of irreversible image compression at varying levels on image post-processing algorithms (3D volume rendering of angiographs, computer-assisted detection of lung nodules, segmentation and volumetry of liver le
Externí odkaz:
https://doaj.org/article/d4f74914a78a483192637253de9d34fb
Autor:
Stefan Schulz, Ann-Christin Woerl, Florian Jungmann, Christina Glasner, Philipp Stenzel, Stephanie Strobl, Aurélie Fernandez, Daniel-Christoph Wagner, Axel Haferkamp, Peter Mildenberger, Wilfried Roth, Sebastian Foersch
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
BackgroundClear-cell renal cell carcinoma (ccRCC) is common and associated with substantial mortality. TNM stage and histopathological grading have been the sole determinants of a patient’s prognosis for decades and there are few prognostic biomark
Externí odkaz:
https://doaj.org/article/2470c3d4ce92456c804f41ad5dae9dc4
Autor:
Daniel Pinto dos Santos, Sebastian Brodehl, Bettina Baeßler, Gordon Arnhold, Thomas Dratsch, Seung-Hun Chon, Peter Mildenberger, Florian Jungmann
Publikováno v:
Insights into Imaging, Vol 10, Iss 1, Pp 1-8 (2019)
Abstract Background Data used for training of deep learning networks usually needs large amounts of accurate labels. These labels are usually extracted from reports using natural language processing or by time-consuming manual review. The aim of this
Externí odkaz:
https://doaj.org/article/efd6c3aab9f34829856ba2ddcff03115
Publikováno v:
Die Radiologie. 63:110-114