| Explainable COVID-19 detection using chest CT scans and deep learning H Alshazly, C Linse, E Barth, T Martinetz Sensors 21 (2), 455, 2021 | 221 | 2021 |
| Ensembles of deep learning models and transfer learning for ear recognition H Alshazly, C Linse, E Barth, T Martinetz Sensors 19 (19), 4139, 2019 | 93 | 2019 |
| Deep convolutional neural networks for unconstrained ear recognition H Alshazly, C Linse, E Barth, T Martinetz IEEE Access 8, 170295-170310, 2020 | 69 | 2020 |
| COVID-Nets: deep CNN architectures for detecting COVID-19 using chest CT scans H Alshazly, C Linse, M Abdalla, E Barth, T Martinetz PeerJ Computer Science 7, e655, 2021 | 62 | 2021 |
| Handcrafted versus CNN features for ear recognition H Alshazly, C Linse, E Barth, T Martinetz Symmetry 11 (12), 1493, 2019 | 60 | 2019 |
| Towards explainable ear recognition systems using deep residual networks H Alshazly, C Linse, E Barth, SA Idris, T Martinetz IEEE Access 9, 122254-122273, 2021 | 44 | 2021 |
| A walk in the black-box: 3D visualization of large neural networks in virtual reality C Linse, H Alshazly, T Martinetz Neural Computing and Applications 34 (23), 21237-21252, 2022 | 14 | 2022 |
| Convolutional Neural Networks Do Work with Pre-Defined Filters C Linse, E Barth, T Martinetz 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | 4 | 2023 |
| Large Neural Networks Learning from Scratch with Very Few Data and without Explicit Regularization C Linse, T Martinetz Proceedings of the 2023 15th International Conference on Machine Learning …, 2023 | 3 | 2023 |
| Large Neural Networks Learning from Scratch with Very Few Data and without Regularization. C Linse, T Martinetz CoRR, 2022 | 1 | 2022 |
| Enhancing Generalization in Convolutional Neural Networks Through Regularization with Edge and Line Features C Linse, B Brückner, T Martinetz International Conference on Artificial Neural Networks, 432-446, 2024 | | 2024 |
| Leaky ReLUs That Differ in Forward and Backward Pass Facilitate Activation Maximization in Deep Neural Networks C Linse, E Barth, T Martinetz 2024 International Joint Conference on Neural Networks (IJCNN), 1-8, 2024 | | 2024 |
| Rethinking generalization of classifiers in separable classes scenarios and over-parameterized regimes J Martinetz, C Linse, T Martinetz 2024 International Joint Conference on Neural Networks (IJCNN), 1-10, 2024 | | 2024 |
| Prediction of Protein Function using semantic Fingerprints-Multivariate Data Classification by Artificial Neural Networks involving dimensional Reduction C Linse NTNU, 2016 | | 2016 |
| GPS Aided Oil Spill Tracking and Mapping System: Application to Offshore Petroleum Industry N Velmurugan, MH Belay, C Linse, Y Dai, SS Navas, KC Ramesh Kumar Abu Dhabi International Petroleum Exhibition and Conference, D011S017R004, 2015 | | 2015 |
| CovidResNet and CovidDenseNet for Transfer Learning of CT based COVID-19 Detection H Alshazly, C Linse, E Barth, T Martinetz | | |
