Rutwik Gulakala

Generative adversarial network based data augmentation for CNN based detection of Covid-19

M. Stoffel, B. Markert, Rutwik Gulakala, 2022, Scientific Reports.

Rapid diagnosis of Covid-19 infections by a progressively growing GAN and CNN optimisation

M. Stoffel, B. Markert, Rutwik Gulakala, 2022, Computer Methods and Programs in Biomedicine.

Graph Neural Network enhanced Finite Element modelling

M. Stoffel, B. Markert, Rutwik Gulakala, 2023, PAMM.

Artificial neural networks in structural dynamics: A new modular radial basis function approach vs. convolutional and feedforward topologies

Marcus Stoffel, Franz Bamer, Bernd Markert, 2020, Computer Methods in Applied Mechanics and Engineering.

Development of convolutional neural networks for recognition of tenogenic differentiation based on cellular morphology

Bernd Markert, Jörg Eschweiler, Marcus Stoffel, 2021, Comput. Methods Programs Biomed..

Machine learning enhanced optimisation of crash box design for crashworthiness analysis

M. Stoffel, Rutwik Gulakala, Aditya Borse, 2023, PAMM.