| Artificial neural networks in structural dynamics: A new modular radial basis function approach vs. convolutional and feedforward topologies M Stoffel, R Gulakala, F Bamer, B Markert Computer Methods in Applied Mechanics and Engineering 364, 112989, 2020 | 59 | 2020 |
| Rapid diagnosis of Covid-19 infections by a progressively growing GAN and CNN optimisation R Gulakala, B Markert, M Stoffel Computer Methods and Programs in Biomedicine 229, 107262, 2023 | 23 | 2023 |
| Generative adversarial network based data augmentation for CNN based detection of Covid-19 R Gulakala, B Markert, M Stoffel Scientific Reports 12 (1), 19186, 2022 | 21 | 2022 |
| Development of convolutional neural networks for recognition of tenogenic differentiation based on cellular morphology G Dursun, SB Tandale, R Gulakala, J Eschweiler, M Tohidnezhad, ... Computer Methods and Programs in Biomedicine 208, 106279, 2021 | 11 | 2021 |
| Graph neural network enhanced finite element modelling R Gulakala, B Markert, M Stoffel PAMM 22 (1), e202200306, 2023 | 5 | 2023 |
| Machine learning enhanced optimisation of crash box design for crashworthiness analysis A Borse, R Gulakala, M Stoffel PAMM 23 (4), e202300145, 2023 | 1 | 2023 |
| Development of a machine learning-based design optimization method for crashworthiness analysis A Borse, R Gulakala, M Stoffel Archives of Mechanics, 2024 | | 2024 |
| Data augmentation for design of concentric tube continuum robots by generative adversarial networks MK Hoffmann, R Gulakala, J Mühlenhoff, Z Ding, T Sattel, M Stoffel, ... PAMM 23 (4), e202300278, 2023 | | 2023 |
| Generative learning‐based model for the prediction of 2D stress distribution R Gulakala, B Markert, M Stoffel PAMM 23 (4), e202300201, 2023 | | 2023 |
