References in zbMATH (referenced in 42 articles )

1. Divi, Sai C.; Verhoosel, Clemens V.; Auricchio, Ferdinando; Reali, Alessandro; van Brummelen, E. Harald: Topology-preserving scan-based immersed isogeometric analysis (2022)
2. Duarte, Jorge A.; González, Andrés D.; Gourley, Jonathan J.: Wildfire burn scar encapsulation. Subsetting common spatial domains for post-wildfire debris flow predictions over the United States (2022)
3. Gellis, Jason J.; Rangel Smith, Camila; Foley, Robert A.: PyLithics: A Python package for stone tool analysis (2022) not zbMATH
4. Alessandro Sebastianelli, Maria Pia Del Rosso, Silvia Liberata Ullo: Automatic dataset builder for Machine Learning applications to satellite imagery (2021) not zbMATH
5. Alex M. Ganose; Amy Searle; Anubhav Jain; Sinéad M. Griffin: IFermi: A python library for Fermi surface generation and analysis (2021) not zbMATH
6. Bubba, Tatiana A.; Galinier, Mathilde; Lassas, Matti; Prato, Marco; Ratti, Luca; Siltanen, Samuli: Deep neural networks for inverse problems with pseudodifferential operators: an application to limited-angle tomography (2021)
7. Carmichael, Iain; Calhoun, Benjamin C.; Hoadley, Katherine A.; Troester, Melissa A.; Geradts, Joseph; Couture, Heather D.; Olsson, Linnea; Perou, Charles M.; Niethammer, Marc; Hannig, Jan; Marron, J. S.: Joint and individual analysis of breast cancer histologic images and genomic covariates (2021)
8. Celledoni, Elena; Ehrhardt, Matthias J.; Etmann, Christian; Owren, Brynjulf; Schönlieb, Carola-Bibiane; Sherry, Ferdia: Equivariant neural networks for inverse problems (2021)
9. Chengyuan Xu, Curtis McCully, Boning Dong, D. Andrew Howell, Pradeep Sen: Cosmic-CoNN: A Cosmic Ray Detection Deep-Learning Framework, Dataset, and Toolkit (2021) arXiv
10. Christopher P. Bridge, Chris Gorman, Steven Pieper, Sean W. Doyle, Jochen K. Lennerz, Jayashree Kalpathy-Cramer, David A. Clunie, Andriy Y. Fedorov, Markus D. Herrmann: Highdicom: A Python library for standardized encoding of image annotations and machine learning model outputs in pathology and radiology (2021) arXiv
11. Emzir, Muhammad; Lasanen, Sari; Purisha, Zenith; Roininen, Lassi; Särkkä, Simo: Non-stationary multi-layered Gaussian priors for Bayesian inversion (2021)
12. Haan, Sebastian: GeoBO: Python package for Multi-Objective Bayesian Optimisation and Joint Inversion in Geosciences (2021) not zbMATH
13. Jon Schwenk; Jayaram Hariharan: RivGraph: Automatic extraction and analysis of river and delta channel network topology (2021) not zbMATH
14. Matthias Drvoderic, Matthias Rettl, Martin Pletz, Clara Schuecker: CrackDect: Detecting crack densities in images of fiber-reinforced polymers (2021) not zbMATH
15. Michael Julian Orella, McLain Evan Leonard, Yuriy Román-Leshkov, Fikile Richard Brushett: High-throughput analysis of contact angle goniometry data using DropPy (2021) not zbMATH
16. Nightingale, J. W., Hayes, R., Kelly, A., Amvrosiadis, A., Etherington, A., He, Q., Li, N., Cao, X., Frawley, J., Cole, S., Enia, A., Frenk, C., Harvey, D., Li, R., Massey, R., Negrello, M., Robertson, A: PyAutoLens: Open-Source Strong Gravitational Lensing (2021) not zbMATH
17. Qiusheng Wu: lidar: A Python package for delineating nested surface depressions from digital elevation data (2021) not zbMATH
18. Zoltan Csati, Jean-François Witz, Vincent Magnier, Ahmed El Bartali, Nathalie Limodin; Denis Najjar: CristalX: Facilitating simulations for experimentally obtained grain-based microstructures (2021) not zbMATH
19. Alain Jungo, Olivier Scheidegger, Mauricio Reyes, Fabian Balsiger: pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis (2020) arXiv
20. Lejeune E., Khang A., Sansom J., Sacks M.S.: FM-Track: A fiducial marker tracking software for studying cell mechanics in a three-dimensional environment (2020) not zbMATH