Automated design process for hybrid regression modeling with a one-class SVM. - Moritz Böhland; Wolfgang Doneit 001; Lutz Gröll; Ralf Mikut; Markus Reischl (Autom., 2019)

BeadNet: deep learning-based bead detection and counting in low-resolution microscopy images. - Tim Scherr; Karolin Streule; Andreas Bartschat; Moritz Böhland; Johannes Stegmaier; Markus Reischl; Véronique Orian-Rousseau; Ralf Mikut (Bioinform., 2020)

Cell Segmentation and Tracking using Distance Transform Predictions and Movement Estimation with Graph-Based Matching. - Tim Scherr; Katharina Löffler; Moritz Böhland; Ralf Mikut (CoRR, 2020)

CAD-to-real: enabling deep neural networks for 3D pose estimation of electronic control units. - Simon Bäuerle; Moritz Böhland; Jonas Barth; Markus Reischl; Andreas Steimer; Ralf Mikut (Autom., 2021)

ciscNet - A Single-Branch Cell Instance Segmentation and Classification Network. - Moritz Böhland; Oliver Neumann; Marcel P. Schilling; Markus Reischl; Ralf Mikut; Katharina Löffler; Tim Scherr (CoRR, 2022)

Improving Generative Adversarial Networks for Patch-Based Unpaired Image-to-Image Translation. - Moritz Böhland; Roman Bruch; Simon Bäuerle; Luca Rettenberger; Markus Reischl (IEEE Access, 2023)

CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. - Simon Graham; Quoc Dang Vu; Mostafa Jahanifar; Martin Weigert 001; Uwe Schmidt; Wenhua Zhang; Jun Zhang 018; Sen Yang 006; Jinxi Xiang; Xiyue Wang; Josef Lorenz Rumberger; Elias Baumann; et al. (CoRR, 2023)

Self-Supervised Learning for Annotation Efficient Biomedical Image Segmentation. - Luca Rettenberger; Marcel P. Schilling; Stefan Elser; Moritz Böhland; Markus Reischl (IEEE Trans. Biomed. Eng., 2023)

CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting. - Simon Graham; Quoc Dang Vu; Mostafa Jahanifar; Martin Weigert 001; Uwe Schmidt; Wenhua Zhang; Jun Zhang 018; Sen Yang 006; Jinxi Xiang; Xiyue Wang; Josef Lorenz Rumberger; Elias Baumann; et al. (Medical Image Anal., 2024)