(2024)
Deep learning-based characterization of neutrophil activation phenotypes in ex vivo human Candida blood infections.
Comput Struct Biotechnol J 23,
1260-1273.
Curriculum vitae
Forschungsschwerpunkte
- Thema Doktorarbeit: "Automatisierte Verarbeitung von Biomedizinischen Bildern in Infektionsforschung"
Wissenschaftlicher Werdegang
| Since 2021 | Doktorand am Hans-Knöll-Institut |
| 2018 - 2021 | M.Sc. in Biomedical Engineering an der FH Aachen, Aachen, Deutschland |
| 2017 -2018 | Product Specialist am Karl Storz Endoscopy India Private Limited, Indien |
| 2015 - 2017 | Senior Application Engineer am Healthware Private Limited, Indien |
| 2014 -2015 | Service Engineer am South India Surgical Company Limited, Indien |
| 2010 - 2014 | B.Tech in Biomedical Engineering am JIS College of Engineering, Indien |
Publikationen
(2022)
Automated characterisation of neutrophil activation phenotypes in ex vivo human Candida blood infections.
Comput Struct Biotechnol J 20,
2297-2308.
(2022)
Explainable aI and its applications in healthcare.
In: Mehta M, Palade V, Chatterjee I (eds.) Explainable AI: Foundations, Methodologies and Applications. 232, pp. 111-133. Springer.
ISBN: 3031128079, 978. (Review)
(2021)
Identification of images of COVID-19 from chest X-rays using deep learning: Comparing COGNEX vision Pro deep learning 1.0™ software with open source convolutional neural networks.
SN Comput Sci 2(3),
130.