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Haghofer, Andreas
19  results:
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1

Automated Nuclear Morphometry: A Deep Learning Approach for..:

Glahn, Imaine ; Haghofer, Andreas ; Donovan, Taryn A....
Veterinary Sciences.  11 (2024)  6 - p. 278 , 2024
Link: https://doi.org/10.3390/..
 
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2

Analysis of Extracellular Vesicle Data on Fluorescence and ..:

, In: Biomedical Engineering Systems and Technologies; Communications in Computer and Information Science,
Janout, Hannah ; Schurr, Jonas ; Haghofer, Andreas... - p. 16-33 , 2023
Link: https://doi.org/10.1007/..
 
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3

Identification of Surrogate Models for the Prediction of De..:

Janout, Hannah ; Paier, Thomas ; Ringelhahn, Carina...
Procedia Computer Science.  217 (2023)  - p. 796-805 , 2023
Link: https://doi.org/10.1016/..
 
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4

Automated Data Adaptation for the Segmentation of Blood Ves..:

, In: Biomedical Engineering Systems and Technologies; Communications in Computer and Information Science,
Haghofer, Andreas ; Ebner, Thomas ; Kainz, Philipp... - p. 53-72 , 2023
Link: https://doi.org/10.1007/..
 
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5

Histological classification of canine and feline lymphoma u..:

Haghofer, Andreas ; Fuchs-Baumgartinger, Andrea ; Lipnik, Karoline...
Scientific Reports.  13 (2023)  1 - p. , 2023
Link: https://doi.org/10.1038/..
 
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6

Automated Segmentation of Patterned Cells in Micropatternin..:

, In: Biomedical Engineering Systems and Technologies; Communications in Computer and Information Science,
Schurr, Jonas ; Haghofer, Andreas ; Lanzerstorfer, Peter. - p. 34-52 , 2023
Link: https://doi.org/10.1007/..
 
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7

Using Heterogeneous Model Ensembles to Improve the Predicti..:

Anlauf, Stefan ; Haghofer, Andreas ; Dirnberger, Karl.
Procedia Computer Science.  200 (2022)  - p. 1194-1200 , 2022
Link: https://doi.org/10.1016/..
 
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8

Data-based prediction of microbial contamination in herbs a..:

Anlauf, Stefan ; Haghofer, Andreas ; Dirnberger, Karl.
International Journal of Food Engineering.  18 (2021)  3 - p. 171-183 , 2021
Link: https://doi.org/10.1515/..
 
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9

Evolutionary optimization of image processing for cell dete..:

Haghofer, Andreas ; Dorl, Sebastian ; Oszwald, Andre...
Soft Computing.  24 (2020)  23 - p. 17847-17862 , 2020
Link: https://doi.org/10.1007/..
 
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10

In situ study of the formation and stability of supported P..:

Haghofer, Andreas ; Föttinger, Karin ; Girgsdies, Frank...
Journal of Catalysis.  286 (2012)  - p. 13-21 , 2012
Link: https://doi.org/10.1016/..
 
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11

Who Is Doing the Job? Unraveling the Role of Ga2O3 in Metha..:

Haghofer, Andreas ; Ferri, Davide ; Föttinger, Karin.
ACS Catalysis.  2 (2012)  11 - p. 2305-2315 , 2012
Link: https://doi.org/10.1021/..
 
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12

How to Control the Selectivity of Palladium‐based Catalysts..:

Armbrüster, Marc ; Behrens, Malte ; Cinquini, Fabrizio...
ChemCatChem.  4 (2012)  8 - p. 1048-1063 , 2012
Link: https://doi.org/10.1002/..
 
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13

Microstructural Changes of Supported Intermetallic Nanopart..:

Haghofer, Andreas ; Föttinger, Karin ; Nachtegaal, Maarten..
The Journal of Physical Chemistry C.  116 (2012)  41 - p. 21816-21827 , 2012
Link: https://doi.org/10.1021/..
 
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14

Colloidally Prepared Pt Nanowires versus Impregnated Pt Nan..:

Haghofer, Andreas ; Sonström, Patrick ; Fenske, Daniela...
Langmuir.  26 (2010)  21 - p. 16330-16338 , 2010
Link: https://doi.org/10.1021/..
 
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15

Histological classification of canine and feline lymphoma u..:

Haghofer, Andreas ; Fuchs-Baumgartinger, Andrea ; Lipnik, Karoline...
https://refubium.fu-berlin.de/handle/fub188/42096.  , 2023
Link: https://refubium.fu-berl..
 
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