Methods for segmenting cracks in 3d images of concrete: A comparison based on semi-synthetic images. - Tin Barisin; Christian Jung; Franziska Müsebeck; Claudia Redenbach; Katja Schladitz (Pattern Recognit., 2022)

Towards Generalized Entropic Sparsification for Convolutional Neural Networks. - Tin Barisin; Illia Horenko (CoRR, 2024)

Riesz Feature Representation: Scale Equivariant Scattering Network for Classification Tasks. - Tin Barisin; Jesús Angulo; Katja Schladitz; Claudia Redenbach (SIAM J. Imaging Sci., 2024)

Riesz Networks: Scale-Invariant Neural Networks in a Single Forward Pass. - Tin Barisin; Katja Schladitz; Claudia Redenbach (J. Math. Imaging Vis., 2024)

On entropic sparsification of neural networks. - Tin Barisin; Illia Horenko (Pattern Recognit. Lett., 2025)

Simulation of microstructures and machine learning. - Katja Schladitz; Claudia Redenbach; Tin Barisin; Christian Jung; Natascha Jeziorski; Lovro Bosnar; Juraj Fulir; Petra Gospodnetic (CoRR, 2025)

Cracks in concrete. - Tin Barisin; Christian Jung; Anna Nowacka; Claudia Redenbach; Katja Schladitz (CoRR, 2025)