Large-scale graph mining using backbone refinement classes. - Andreas Maunz; Christoph Helma; Stefan Kramer 001 (KDD, 2009)

Latent Structure Pattern Mining. - Andreas Maunz; Christoph Helma; Tobias Cramer; Stefan Kramer 001 (ECML/PKDD (2), 2010)

Collaborative development of predictive toxicology applications. - Barry J. Hardy; Nicki Douglas; Christoph Helma; Micha Rautenberg; Nina Jeliazkova; Vedrin Jeliazkov; Ivelina Nikolova; Romualdo Benigni; Olga Tcheremenskaia; Stefan Kramer 001; Tobias Girschick; Fabian Buchwald; et al. (J. Cheminformatics, 2010)

Efficient mining for structurally diverse subgraph patterns in large molecular databases. - Andreas Maunz; Christoph Helma; Stefan Kramer 001 (Mach. Learn., 2011)

Out-of-bag discriminative graph mining. - Andreas Maunz; David Vorgrimmler; Christoph Helma (SAC, 2013)

Graph Mining Methods for Predictive Toxicology. - Andreas Maunz (2013)

Extracting information from support vector machines for pattern-based classification. - Madeleine Seeland; Andreas Maunz; Andreas Karwath; Stefan Kramer 001 (SAC, 2014)

Deep learning algorithm predicts diabetic retinopathy progression in individual patients. - Filippo Arcadu; Fethallah Benmansour; Andreas Maunz; Jeff Willis; Zdenka Haskova; Marco Prunotto (npj Digit. Medicine, 2019)

Author Correction: Deep learning algorithm predicts diabetic retinopathy progression in individual patients. - Filippo Arcadu; Fethallah Benmansour; Andreas Maunz; Jeff Willis; Zdenka Haskova; Marco Prunotto (npj Digit. Medicine, 2020)

Unsupervised Domain Adaptation with Contrastive Learning for OCT Segmentation. - Alvaro Gomariz 001; Huanxiang Lu; Yun Yvonna Li; Thomas Albrecht; Andreas Maunz; Fethallah Benmansour; Alessandra M. Valcarcel; Jennifer Luu; Daniela Ferrara; Orcun Goksel (MICCAI (8), 2022)

Joint semi-supervised and contrastive learning enables zero-shot domain-adaptation and multi-domain segmentation. - Alvaro Gomariz 001; Yusuke Kikuchi; Yun Yvonna Li; Thomas Albrecht; Andreas Maunz; Daniela Ferrara; Huanxiang Lu; Orcun Goksel (CoRR, 2024)

Joint semi-supervised and contrastive learning enables domain generalization and multi-domain segmentation. - Alvaro Gomariz 001; Yusuke Kikuchi; Yun Yvonna Li; Thomas Albrecht; Andreas Maunz; Daniela Ferrara; Huanxiang Lu; Orcun Goksel (Medical Image Anal., 2025)