Dipl.-Ing. Dr.techn. Florian Ganglberger

Forscher

Florian Ganglberger arbeitete von 2014-2022 als Forscher in der Biomedical Image Informatics-Forschungsgruppe am VRVis, bevor er zur Boehringer Ingelheim wechselte. Seine Promotion schloss er im September 2019 ab. Zuvor studierte er Medizinische Informatik an der TU Wien und sammelte einige Erfahrungen in der biomedizinischen Daten-/Bildanalyse an verschiedenen Institutionen (CeMM, Medizinische Universität Wien, Biocrates Life Science AG, Medizinische Universität Innsbruck als Doktorand).

Auszeichnungen

Honorable Mention beim Best Short Paper Award der VCBM 2019 für Paper "Feasibility Study For Automatic Bird Tracking and Visualization from Time-Dependent Marine Radar Imagery"
Best Poster Award, 12. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie e.V. (November 2013)

Forschungsgruppe

Biomedical Image Informatics

Portraitfoto von Florian Ganglberger/VRVis

Awards

VCBM 2019
Florian Ganglbergers Short paper erhält eine "Honorable Mention"
Florian Ganglberger wurde mit seinem Short paper bei der VCBM 2019 mit einer "Honorable Mention" ausgezeichnet.

Publikationen

F. Ganglberger , M. Töpfer , D. Kargl , J. Hernandez-Lallement , N. Lawless , F. Fernandez-Albert , W. Haubensak , K. Bühler (2023)
BrainTACO: An Explorable Multi-Scale Multi-Modal Brain Transcriptomic And Connectivity Data Resource
bioRxiv
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J. Kaczanowska , F. Ganglberger , O. Chernomor , D. Kargl , B. Galik , A. Hess , Y. Moodley , A. von Haeseler , K. Bühler , W. Haubensak (2022)
Molecular archaeology of human cognitive traits
Cell Reports, Vol.40
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F. Ganglberger , M. Wißmann , H. Wu , N. Swoboda , A. S. Thum , W. Haubensak , K. Bühler (2022)
Spatial-data-driven layouting for brain network visualization
Computers & Graphics
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Y. Kaymaz , F. Ganglberger , M. Tang , C. Haslinger , F. Fernandez-Albert , N. Lawless , T. B. Sackton (2021)
HieRFIT: a hierarchical cell type classification tool for projections from complex single-cell atlas datasets
Bioinformatics
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F. Ganglberger , J. Kaczanowska , W. Haubensak , K. Bühler (2021)
Visualising the Transition of Large Networks via Dimensionality Reduction to Illustrate the Evolution of the Human Brain
Eurographics 2021
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F. Ganglberger , J. Kaczanowska , W. Haubensak , K. Bühler (2019)
A Web-based Framework for the Exploration of Heterogeneous Spatial Big Brain Data
Imaging in Life Sciences Meeting 2019
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F. Ganglberger , K. Bühler (2019)
Feasibility Study For Automatic Bird Tracking and Visualization from Time-Dependent Marine Radar Imagery Clouds
Eurographics Workshop on Visual Computing for Biology and Medicine
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F. Ganglberger , N. Swoboda , L. Frauenstein , J. Kaczanowska , W. Haubensak , K. Bühler (2019)
BrainTrawler: A visual analytics framework for iterative exploration of heterogeneous big brain data
Computers & Graphics
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J. Kaczanowska , F. Ganglberger , B. Galik , A. Hess , Y. Moodley , K. Bühler , W. Haubensak (2019)
Molecular archaeology of the human brain
bioRxiv
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F. Ganglberger , J. Kaczanowska , W. Haubensak , K. Bühler (2018)
A Data Structure for Real-Time Aggregation Queries of Big Brain Networks
Neuroinformatics
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J. Griessner , P. Pilota , V. Böhm , M. Pasieka , F. Grössl , J. Kaczanowska , F. Ganglberger , et al. (2018)
Multi-modal exploration of a thalamo-amygdala anxiety circuit
Forum of Neuroscience of the Federation of European Neuroscience Societies, FENS 2018
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F. Ganglberger , N. Swoboda , L. Frauenstein , J. Kaczanowska , W. Haubensak , K. Bühler (2018)
Iterative Exploration of Big Brain Network Data
Eurographics Workshop on Visual Computing for Biology and Medicine (2018)
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L. Frauenstein , N. Swoboda , F. Ganglberger , G. Langs , K. Bühler (2018)
A prototypic visual analytics framework for interactive exploration of functional connectivity development
Forum of Neuroscience of the Federation of European Neuroscience Societies, FENS 2018
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F. Ganglberger , E. Tosun , L. Frauenstein , N. Swoboda , J. Kaczanowska , W. Haubensak , K. Bühler (2018)
BrainTrawler: A Web-Based Visual Analytics Framework for Big Brain Network Data in their Spatial Context
Forum of Neuroscience of the Federation of European Neuroscience Societies, FENS 2018
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W. Haubensak , F. Ganglberger , J. Kaczanowska , J. M. Penninger , A. Hess , K. Bühler (2017)
Predicting brain functional maps from genetic information
Society for Neuroscience (SFN) 2017 (Poster)
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F. Ganglberger , L. Frauenstein , N. Swoboda , J. Kaczanowska , W. Haubensak , K. Bühler (2017)
Joined interactive exploration of genetic, functional and network data of the brain
7th Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM) (Poster)
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F. Ganglberger , J. Kaczanowska , J. M. Penninger , A. Hess , K. Bühler , W. Haubensak (2017)
Predicting functional neuroanatomical maps from fusing brain networks with genetic information
NeuroImage
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F. Ganglberger , L. Tirian , A. D. Straw , K. Bühler (2015)
High-throughput Investigation of Drosophila Brains via Structure-Based Similarity
Abstract and Presentation at the Annual Drosophila Research Conference, 2015
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F. Ganglberger , F. Schulze , L. Tirian , A. A. Novikow , B. J. Dickson , K. Bühler , G. Langs (2013)
Structure-based Neuron Retrieval Across Drosophila Brains
Neuroinformatics
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Team