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Marcus Frohme
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- affiliation: Technical University of Applied Sciences Wildau, Germany
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2020 – today
- 2024
- [c6]Viktor Reshetnik, Irina Muryzina, Marcus Frohme, Victoriia Alekseeva, Alla Dzyza, Alina S. Nechyporenko:
Uncertainty Estimation Method for Determining Bone Density in Patients with Infiltrating Intraductal Carcinoma Undergoing Anti-Cancer Therapy. ProfIT AI 2024: 222-228 - [c5]Alina S. Nechyporenko, Viktor Reshetnik, Marcus Frohme, Victoriia Alekseeva, Andrii Lupyr, Vitaliy Gargin:
Evaluation of Bone Radiodensity in Smokers. ProfIT AI 2024: 238-244 - 2023
- [j8]Juliane Pfeil
, Julienne Siptroth
Classification of Microbiome Data from Type 2 Diabetes Mellitus Individuals with Deep Learning Image Recognition. Big Data Cogn. Comput. 7(1): 51 (2023) - [c4]Alina S. Nechyporenko, Marcus Frohme, Vladyslav Omelchenko, Victoriia Alekseeva, Andrii Lupyr, Vitaliy Gargin:
Identification of Personality Based on the Sphenoid Sinus Structure Using Machine Learning. IDDM 2023: 167-173 - [c3]Victoriia Alekseeva, Viktor Reshetnik, Marcus Frohme, Irina Kachailo, Irina Murizyna, Alina S. Nechyporenko:
Investigation of the Impact of Insulin Resistance on the Bone Density of the Upper Wall of the Maxillary Sinus. ProfIT AI 2023: 216-223 - [e1]Dmytro Chumachenko, Adam Wojciechowski, Sergiy Yakovlev, Marcus Frohme:
Proceedings of the 2nd International Workshop of IT-professionals on Artificial Intelligence (ProfIT AI 2022) 2022, Łódź, Poland, December 2-4, 2022. CEUR Workshop Proceedings 3348, CEUR-WS.org 2023 [contents] - 2022
- [j7]Juliane Pfeil, Alina S. Nechyporenko
Examination of blood samples using deep learning and mobile microscopy. BMC Bioinform. 23(1): 65 (2022) - [j6]Dmytro Chumachenko
Machine Learning Methods in Predicting Patients with Suspected Myocardial Infarction Based on Short-Time HRV Data. Sensors 22(18): 7033 (2022) - [c2]Dmytro Chumachenko, Alina S. Nechyporenko, Marcus Frohme:
Impact of Russian War on COVID-19 Dynamics in Germany: the Simulation Study by Statistical Machine Learning. IDDM 2022: 78-85 - 2020
- [j5]Susanne Hollmann
Ten simple rules on how to write a standard operating procedure. PLoS Comput. Biol. 16(9) (2020) - [i1]Susanne Hollmann
The need for standardisation in life science research - an approach to excellence and trust. F1000Research 9: 1398 (2020)
2010 – 2019
- 2019
- [r1]Christian Rockmann, Christoph Endrullat, Marcus Frohme, Heike Pospisil:
Next Generation Sequence Analysis. Encyclopedia of Bioinformatics and Computational Biology (2) 2019: 352-363 - 2018
- [c1]Susanne Hollmann
Standardization and Quality Assurance in Life-Science Research - Crucially Needed or Unnecessary and Annoying Regulation? ICT Innovations 2018: 13-20 - 2013
- [j4]Jascha Silbermann, Catrin Wernicke, Heike Pospisil, Marcus Frohme:
RefPrimeCouch - a reference gene primer CouchApp. Database J. Biol. Databases Curation 2013 (2013) - [j3]Katja Schulze, Ulrich M. Tillich, Thomas Dandekar
PlanktoVision - an automated analysis system for the identification of phytoplankton. BMC Bioinform. 14: 115 (2013) - 2012
- [j2]Daniela Beisser, Markus A. Grohme
Integrated pathway modules using time-course metabolic profiles and EST data from Milnesium tardigradum. BMC Syst. Biol. 6: 72 (2012)
2000 – 2009
- 2000
- [j1]Steffen Heber, Jens Stoye
Contig Selection in Physical Mapping. J. Comput. Biol. 7(3-4): 395-408 (2000)
Coauthor Index
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