Juliane Pfeil

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	All	Since 2019
Citations	43	38
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Marcus FrohmeProfessor for Molecular Biology, Technical University of Applied Sciences WildauVerified email at th-wildau.de
Alina Nechyporenko, Аліна Нечипоре...Professor, Kharkiv National University of Radio Electronics, TH WildauVerified email at nure.ua
Eftim ZdravevskiFaculty of Computer Science and Engineering, University Ss. Cyril and Methodius, Skopje, MacedoniaVerified email at finki.ukim.mk
Ariel Duarte-LópezPh.D. in EIO | Acuity Trading SL | UPCVerified email at acuitytrading.com
Ziva RamsakResearch Assistant, National Institute of BiologyVerified email at nib.si
Petre LameskiFaculty of Computer Sciecne and Engineering, Ss Cyril and Methodius UniversityVerified email at finki.ukim.mk
E PapakonstantinouAgricultural University of AthensVerified email at aua.gr
Dr. Louis Papageorgiou, BSc, MSc, PhDAUA / Department of Biotechnology, UOA & BRFAAVerified email at bioacademy.gr
Marta Perez-CasanyDept of Statistics and Operation Research, Technical University of CataloniaVerified email at upc.edu
Axel Thieffry, PhDFMC CorporationVerified email at fmc.com
Babette RegiererSB ScienceManagement UG, Leibniz nstitute of Vegetable and Ornamental CropsVerified email at sb-sciencemanagement.com
Domenica D'EliaPhD, Institute for Biomedical Technologies, CNR, ItalyVerified email at ba.itb.cnr.it
kristina grudennational institute of biologyVerified email at nib.si
susanne hollmannSB Science Management UG (haftungsbeschränkt)Verified email at sb-sciencemanagement.com
Erik Bongcam-RudloffProfessor in Bioinformatics,Swedish University of Agricultural Sciences, SwedenVerified email at slu.se
Aleksandra GrucaAssociate Professor, Silesian University of TechnologyVerified email at polsl.pl
Yen HoangGerman Federal Institute for Risk Assessment

Juliane Pfeil

Research associate, Robert Koch Institute

Verified email at rki.de

Computer Vision Deep Learning Microscopy


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Smartphone based mobile microscopy for diagnostics J Pfeil, LN Dangelat, M Frohme, K Schulze Journal of Cellular Biotechnology 4 (1-2), 57-65, 2018	13	2018
Examination of blood samples using deep learning and mobile microscopy J Pfeil, A Nechyporenko, M Frohme, FT Hufert, K Schulze BMC bioinformatics 23 (1), 65, 2022	11	2022
Mobile microscopy and automated image analysis: the ease of cell counting and classification J Pfeil, M Frohme, K Schulze Optik & Photonik 13 (1), 36-39, 2018	11	2018
Report on the “Big Data Training School for Life Sciences”, 18-22 September 2017, Uppsala, Sweden J Pfeil, SK Schulze, E Zdravevski, Y Hoang EMBnet. journal, 2017	3	2017
Classification of Microbiome Data from Type 2 Diabetes Mellitus Individuals with Deep Learning Image Recognition J Pfeil, J Siptroth, H Pospisil, M Frohme, FT Hufert, O Moskalenko, ... Big Data and Cognitive Computing 7 (1), 51, 2023	2	2023
Mobile microscopy for the examination of blood samples J Pfeil, M Frohme, K Schulze EMBnet. journal 23, 904, 2017	2	2017
Report on the “Advanced Big Data Training School for Life Sciences”, Barcelona 3th-7th September 2018 Y Hoang, J Pfeil, M Zagorščak, AYA Thieffry, E Zdravevski, Ž Ramšak, ... EMBnet. journal 24, 917, 2018	1	2018
The CHARME" Advanced Big Data Training School for Life Sciences": an example of good practices for training on current bioinformatics challenges Y Hoang, J Pfeil, M Zagoršcak, A YA Thieffry, E Zdravevski, Ž Ramšak, ... EMBnet. journal, 2019		2019
Standardisation in life-science research-Making the case for harmonization to improve communication and sharing of data amongst researchers. S Hollmann, B Regierer, D D’Elia, K Gruden, Š Baebler, M Frohme, J Pfeil, ... EasyChair, 2018		2018
Proceedings of the “Think Tank Hackathon’’, Big Data Training School for Life Sciences Follow-up, Ljubljana 6th–7th February 2018 SK Schulze, Ž Ramšak, Y Hoang, E Zdravevski, J Pfeil, A Duarte López, ... EMBnet. journal 24, 1-4, 2018		2018

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