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Oliver Hayden
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- affiliation: Technical University Munich, Germany
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2020 – today
- 2024
- [c10]Julia Sistermanns, Ellen Emken, Oliver Hayden, Gregor Weirich, Wolfgang Utschick:
Unsupervised high-throughput segmentation of cells and cell nuclei in quantitative phase images. ISBI 2024: 1-5 - [i5]Wei Liu, Kerem Delikoyun, Qianyu Chen, Alperen Yildiz, Si Ko Myo, Win Sen Kuan, John Tshon Yit Soong, Matthew Edward Cove, Oliver Hayden, Hweekuan Lee:
OAH-Net: A Deep Neural Network for Hologram Reconstruction of Off-axis Digital Holographic Microscope. CoRR abs/2410.13592 (2024) - 2023
- [c9]Stefan Röhrl, Hendrik Maier, Manuel Lengl, Christian Klenk, Dominik Heim, Martin Knopp, Simon Schumann, Oliver Hayden, Klaus Diepold:
Explainable Artificial Intelligence for Cytological Image Analysis. AIME 2023: 75-85 - [c8]Christian Klenk, David Elias Fresacher, Stefan Röhrl, Dominik Heim, Manuel Lengl, Simon Schumann, Martin Knopp, Klaus Diepold, Stefan Holdenrieder, Oliver Hayden:
Measurement of Platelet Aggregation in Ageing Samples and After in-Vitro Activation. BIOIMAGING 2023: 57-65 - [c7]Stefan Röhrl, Lukas Bernhard, Manuel Lengl, Christian Klenk, Dominik Heim, Martin Knopp, Simon Schumann, Oliver Hayden, Klaus Diepold:
Explainable Feature Learning with Variational Autoencoders for Holographic Image Analysis. BIOIMAGING 2023: 69-77 - [c6]David Elias Fresacher, Stefan Röhrl, Christian Klenk, Johanna Erber, Hedwig Irl, Dominik Heim, Manuel Lengl, Simon Schumann, Martin Knopp, Martin Schlegel, Sebastian Rasch, Oliver Hayden, Klaus Diepold:
Composition Counts: A Machine Learning View on Immunothrombosis using Quantitative Phase Imaging. MLHC 2023: 208-229 - [i4]Moritz Leuthner, Oliver Hayden:
Grease the gears for a steady microfluidic flow. CoRR abs/2310.05478 (2023) - [i3]Stefan Röhrl, Johannes Groll, Manuel Lengl, Simon Schumann, Christian Klenk, Dominik Heim, Martin Knopp, Oliver Hayden, Klaus Diepold:
Towards Interpretable Classification of Leukocytes based on Deep Learning. CoRR abs/2311.14485 (2023) - [i2]Julia Sistermanns, Ellen Emken, Gregor Weirich, Oliver Hayden, Wolfgang Utschick:
Unsupervised high-throughput segmentation of cells and cell nuclei in quantitative phase images. CoRR abs/2311.14639 (2023) - 2022
- [j4]Qasem Qananwah, Ali Mohammad Alqudah, Moh'd Alodat, Ahmad Dagamseh, Oliver Hayden:
Detecting Cognitive Features of Videos Using EEG Signal. Comput. J. 65(1): 105-123 (2022) - [j3]Thomas Thalhofer, Mauro Keck, Sebastian Kibler, Oliver Hayden:
Capacitive Sensor and Alternating Drive Mixing for Microfluidic Applications Using Micro Diaphragm Pumps. Sensors 22(3): 1273 (2022) - [j2]Michael Baur, Mathias Reisbeck, Oliver Hayden, Wolfgang Utschick:
Joint Particle Detection and Analysis by a CNN and Adaptive Norm Minimization Approach. IEEE Trans. Biomed. Eng. 69(8): 2468-2479 (2022) - [c5]Alice Hein, Stefan Röhrl, Thea Grobel, Manuel Lengl, Nawal Hafez, Martin Knopp, Christian Klenk, Dominik Heim, Oliver Hayden, Klaus Diepold:
A Comparison of Uncertainty Quantification Methods for Active Learning in Image Classification. IJCNN 2022: 1-8 - [i1]Stefan Röhrl, Alice Hein, Lucie Huang, Dominik Heim, Christian Klenk, Manuel Lengl, Martin Knopp, Nawal Hafez, Oliver Hayden, Klaus Diepold:
Outlier Detection using Self-Organizing Maps for Automated Blood Cell Analysis. CoRR abs/2208.08834 (2022)
2010 – 2019
- 2019
- [c4]Stefan Röhrl, Matthias Ugele, Christian Klenk, Dominik Heim, Oliver Hayden, Klaus Diepold:
Autoencoder Features for Differentiation of Leukocytes Based on Digital Holographic Microscopy (DHM). EUROCAST (2) 2019: 281-288 - 2016
- [j1]Oliver Hayden:
One Binder to Bind Them All. Sensors 16(10): 1665 (2016) - [c3]Noha El-Zehiry, Oliver Hayden, Ali Kamen:
Cell segmentation in digital holographic images. ISBI 2016: 209-212 - 2014
- [c2]Paul Anthony Haigh, Zabih Ghassemlooy, Francesco Bausi, Ioannis Papakonstantinou, Hoa Le Minh, Sandro Francesco Tedde, Oliver Hayden, Franco Cacialli:
Organic visible light communications: Recent progress. ICTON 2014: 1-5 - 2013
- [c1]Paul Anthony Haigh, Zabih Ghassemlooy, Ioannis Papakonstantinou, Francesco Tedde, Sandro Francesco Tedde, Oliver Hayden, Sujan Rajbhandari:
A MIMO-ANN system for increasing data rates in organic visible light communications systems. ICC 2013: 5322-5327
Coauthor Index
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last updated on 2024-12-01 00:07 CET by the dblp team
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