Author

Filippos Gavriilidis

Max Planck Institute for Human Cognitive and Brain Sciences

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:imaging· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Carsten JägeriD· 2 shared Evgeniya P. KirilinaiD· 2 shared Markus MorawskiiD· 2 shared Nikolaus WeiskopfiD· 2 shared Anneke AlkemadeiD· 1 shared Charlotte Lange· 1 shared Enrico Reimer· 1 shared Isabel Friedrich· 1 shared

Activity by Year

2018-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 40 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersNeuroscience

Carsten JägerORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Toward an early diagnostic marker of Parkinson's: measuring iron in dopaminergic neurons with MR relaxometry

Malte Brammerloh, Markus Morawski, Isabel Friedrich, T. Reinert, Charlotte Lange, Primož Pelicon, Primož Vavpetič, Steffen Jankuhn, Carsten Jäger, Anneke Alkemade, Rawien A. Balesar, Kerrin Pine, Filippos Gavriilidis, Robert Trampel, Enrico Reimer, , Evgeniya P. Kirilina

The paper links MRI relaxation rate in substantia nigra to iron concentration in dopaminergic neurons, enabling early Parkinson's disease detection.

NeuroImage · Jun 11, 2021Peer-reviewedNeuroscience

Combining Deep Learning and Active Contours Opens The Way to Robust, Automated Analysis of Brain Cytoarchitectonics

Konstantin Thierbach, Pierre‐Louis Bazin, Walter de Back, Filippos Gavriilidis, Evgeniya P. Kirilina, Carsten Jäger, Markus Morawski, Stefan Geyer, Nikolaus Weiskopf, Nico Scherf

This paper develops a method combining deep learning and active contours for automated segmentation of neural cell bodies from light-sheet microscopy data.

Lecture notes in computer science · Jan 1, 2018Peer-reviewedBioinformatics