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Combinatorial Complexes: Bridging the Gap Between Cell Complexes and Hypergraphs2023 2018 52nd Asilomar Conference on Signals, Systems, and Computers conference-paper Computer Science Topological and Geometric Data Analysis
Mustafa Hajij, Ghada Zamzmi, Theodore Papamarkou, AIdo Guzman-Saenz, ToIga Birdal, Michael T. Schaub
4citations -
Combinatorial Complexes: Bridging the Gap Between Cell Complexes and Hypergraphs2023 Research Explorer (The University of Manchester) conference-paper Computer Science Topological and Geometric Data Analysis Open access
Mustafa Hajij, Ghada Zamzmi, Theodore Papamarkou, Aldo Guzmán-Sáenz, Tolga Birdal, Michael T. Schaub
0citations -
Signal Processing On Product Spaces2023 IEEE International Conference on Acoustics Speech and Signal Processing conference-paper Computer Science Topological and Geometric Data Analysis Open access
T. Mitchell Roddenberry, Vincent P. Grande, Florian Frantzen, Michael T. Schaub, Santiago Segarra
6citations -
Comparative Analysis of Unsupervised and Supervised Autoencoders for Nuclei Classification in Clear Cell Renal Cell Carcinoma Images2025 IEEE International Symposium on Biomedical Imaging (ISBI) conference-paper Computer Science AI in cancer detection Open access
Fatemeh Javadian, Zahra Aminparast, Johannes Stegmaier, Abin Jose
0citations -
Deep Learning Approach for Renal Cell Carcinoma Detection, Subtyping, And Grading2024 Proceedings - International Conference on Image Processing conference-paper Computer Science AI in cancer detection
Maroof Abdul Aziz, Fatemeh Javadian, Sherin Susheel Mathew, Gopal Avinash, Johannes Stegmaier, Sonit Singh, +1 more
4citations -
Analysis of automatically generated embedding guides for cell classification2022 International Conference on Image Processing Theory, Tools and Applications (IPTA) conference-paper Computer Science Digital Imaging for Blood Diseases
Philipp Gräbel, Julian Thull, Martina Margrit Crysandt, Barbara M. Klinkhammer, Peter Boor, Tim H. Brümmendorf, +1 more
0citations -
The covariance perceptron: A new paradigm for classification and processing of time series in recurrent neuronal networks2020 PLoS Computational Biology article Computer Science Neural Networks and Applications Open access
Matthieu Gilson, David Dahmen, Rubén Moreno‐Bote, Andrea Insabato, Moritz Helias
11citations -
Predicting patient response with models trained on cell lines and patient-derived xenografts by nonlinear transfer learning2021 Proceedings of the National Academy of Sciences article Computer Science Computational Drug Discovery Methods Open access
Soufiane M. C. Mourragui, Marco Loog, Daniël J. Vis, Kat S Moore, Anna G. Manjón, Mark A. van de Wiel, +2 more
42citations -
Data-driven Product-Process Optimization of N-isopropylacrylamide Microgel Flow-Synthesis2023 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access
Luise F. Kaven, Artur M. Schweidtmann, Jana Israel, Nadja Wolter, Alexander Mitsos
0citations -
Designed nanomolar small-molecule inhibitors of Ena/VASP EVH1 interaction impair invasion and extravasation of breast cancer cells2020 Proceedings of the National Academy of Sciences article Computer Science Computational Drug Discovery Methods Open access
Matthias Barone, Slim Chiha, Jiang Ren, Dominik Albat, Arne Soicke, Stephan Dohmen, +16 more
38citations