37 citations
- CEA Paris-SaclayFR4 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR4 papers
- Curtin UniversityAU4 papers
- Université Paris-SaclayFR4 papers
- Centre National de la Recherche ScientifiqueFR3 papers
- Centrum Wiskunde & InformaticaNL3 papers
- Imperial College LondonGB3 papers
- Institut d'Estudis Espacials de CatalunyaES3 papers
- Institute of Space SciencesES3 papers
- International Centre for Radio Astronomy ResearchAU3 papers
- Université Paris CitéFR3 papers
- University College LondonGB3 papers
Showing 2020Show all
3 papers · 1 filter
q-bio.QM2020★ 9 cited
Multiclass Yeast Segmentation in Microstructured Environments with Deep Learning
Tim Prangemeier, Christian Wildner, André O. Françani +2
Cell segmentation is a major bottleneck in extracting quantitative single-cell information from microscopy data. The challenge is exasperated in the setting of microstructured envi…
eess.IV2020★ 9 cited
Deep data compression for approximate ultrasonic image formation
Georgios Pilikos, Lars Horchens, Kees Joost Batenburg +2
In many ultrasonic imaging systems, data acquisition and image formation are performed on separate computing devices. Data transmission is becoming a bottleneck, thus, efficient da…
eess.IV2020★ 7 cited
Fast ultrasonic imaging using end-to-end deep learning
Georgios Pilikos, Lars Horchens, Kees Joost Batenburg +2
Ultrasonic imaging algorithms used in many clinical and industrial applications consist of three steps: A data pre-processing, an image formation and an image post-processing step.…