Publications of Nico Scherf

Teaching (5)

2021
Teaching
Scherf, N.; Mueller, K.: Data Science Clinic. Lecture: Seminar, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, January 01, 2021 - December 31, 2021
2020
Teaching
Mueller, K.; Scherf, N.: Methods Club. Lecture: Seminar, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, January 01, 2020 - December 31, 2020

Thesis - Diploma (1)

2022
Thesis - Diploma
Hinnerichs, T.: Finding gene expression patterns and their link to connectivities in mouse brains by exploiting interaction networks. Diploma, TU Dresden, Germany (2022)

Thesis - Master (4)

2022
Thesis - Master
Kiakou, D.: Geometric deep learning in neuroimaging. Master, Hellenic Open University, Patras, Greece (2022)
Thesis - Master
Meussling, M.: Segmentierung und Analyse von Astrozyten und Nervenfasern des menschlichen Gehirns. Master, Hochschule für Technik, Wirtschaft und Kultur, Leipzig, Germany (2022)
Thesis - Master
Mueller, G.: Quantifying differences in the microanatomy of the auditory cortex between both hemispheres of the mammalian brain. Master, TU Dresden, Germany (2022)
2021
Thesis - Master
Horlava, N.: Robust, structure-aware classification of neurodegeneration. Master, TU Dresden, Germany (2021)

Manuscript (1)

2019
Manuscript
Kloenne, M.; Niehaus, S.; Lampe, L.; Merola, A.; Reinelt, J.; Scherf, N.: A framework for CT image segmentation inspired by the clinical environment. arXiv (2019)

Preprint (7)

2022
Preprint
Williams, E.; Kienast, M.; Medawar, E.; Reinelt, J.; Merola, A.; Klopfenstein, S. A. I.; Flint, A. R.; Heeren, P.; Poncette, A.-S.; Balzer, F. et al.; Beimes, J.; von Bünau, P.; Chromik, J.; Arnrich, B.; Scherf, N.; Niehaus, S.: FHIR-DHP: A standardized clinical data harmonisation pipeline for scalable AI application deployment. (2022)
2021
Preprint
Waschke, J.; Hlawitschka, M.; Anlas, K.; Trivedi, V.; Roeder, I.; Huisken, J.; Scherf, N.: linus: Conveniently explore, share, and present large-scale biological trajectory data from a web browser. (2021)
2020
Preprint
Hoffmann, H.; Baldow, C.; Zerjatke, T.; Gottschalk, A.; Wagner, S.; Karg, E.; Niehaus, S.; Roeder, I.; Glauche, I.; Scherf, N.: How to predict relapse in leukaemia using time series data: A comparative in silico study. (2020)
Preprint
Horlava, N.; Mironenko, A.; Niehaus, S.; Wagner, S.; Roeder, I.; Scherf, N.: A comparative study of semi- and self-supervised semantic segmentation of biomedical microscopy data. (2020)
Preprint
Wagner, S.; Thierbach, K.; Zerjatke, T.; Glauche, I.; Roeder, I.; Scherf, N.: TraCurate: Efficiently curating cell tracks. (2020)
2018
Preprint
Thierbach, K.; Bazin, P.-L.; De Back , W.; Gavriilidis, F.; Kirilina, E.; Jäger, C.; Morawski, M.; Geyer, S.; Weiskopf, N.; Scherf, N.: Combining deep learning and active contours opens the way to robust, automated analysis of brain cytoarchitectonics. (2018)
2017
Preprint
Shah, G.; Thierbach, K.; Schmid, B.; Reade, A.; Roeder, I.; Scherf, N.; Huisken, J.: Pan-embryo cell dynamics of germlayer formation in zebrafish. (2017)

Interview (1)

2022
Interview
Scherf, N.: Computer statt Mensch: Kann KI unsere Probleme lösen? (2022)

Other Interesting Articles

Go to Editor View