Andreas Maunz

14 papers A* 1Misc 2Journal 7Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Joint semi-supervised and contrastive learning enables domain generalization and multi-domain segmentation.
Medical Image Anal.
Alvaro Gomariz, Yusuke Kikuchi, Yun Yvonna Li, Thomas Albrecht, Andreas Maunz, Daniela Ferrara, Huanxiang Lu, Orcun Goksel
2024 J jnl
Joint semi-supervised and contrastive learning enables zero-shot domain-adaptation and multi-domain segmentation.
CoRR
Alvaro Gomariz, Yusuke Kikuchi, Yun Yvonna Li, Thomas Albrecht, Andreas Maunz, Daniela Ferrara, Huanxiang Lu, Orcun Goksel
2022 — conf
Unsupervised Domain Adaptation with Contrastive Learning for OCT Segmentation.
MICCAI (8)
Alvaro Gomariz, Huanxiang Lu, Yun Yvonna Li, Thomas Albrecht, Andreas Maunz, Fethallah Benmansour, Alessandra M. Valcarcel, Jennifer Luu, Daniela Ferrara, Orcun Goksel
2022 J jnl
Unsupervised Domain Adaptation with Contrastive Learning for OCT Segmentation.
CoRR
Alvaro Gomariz, Huanxiang Lu, Yun Yvonna Li, Thomas Albrecht, Andreas Maunz, Fethallah Benmansour, Alessandra M. Valcarcel, Jennifer Luu, Daniela Ferrara, Orcun Goksel
2020 J jnl
Author Correction: Deep learning algorithm predicts diabetic retinopathy progression in individual patients.
npj Digit. Medicine
Filippo Arcadu, Fethallah Benmansour, Andreas Maunz, Jeff Willis, Zdenka Haskova, Marco Prunotto
2019 J jnl
Deep learning algorithm predicts diabetic retinopathy progression in individual patients.
npj Digit. Medicine
Filippo Arcadu, Fethallah Benmansour, Andreas Maunz, Jeff Willis, Zdenka Haskova, Marco Prunotto
2014 Misc conf
Extracting information from support vector machines for pattern-based classification.
SAC
Madeleine Seeland, Andreas Maunz, Andreas Karwath, Stefan Kramer
2013 — —
Graph Mining Methods for Predictive Toxicology.
Andreas Maunz
2013 Misc conf
Out-of-bag discriminative graph mining.
SAC
Andreas Maunz, David Vorgrimmler, Christoph Helma
2011 J jnl
Efficient mining for structurally diverse subgraph patterns in large molecular databases.
Mach. Learn.
Andreas Maunz, Christoph Helma, Stefan Kramer
2010 J jnl
Collaborative development of predictive toxicology applications.
J. Cheminformatics
Barry J. Hardy, Nicki Douglas, Christoph Helma, Micha Rautenberg, Nina Jeliazkova, Vedrin Jeliazkov, Ivelina Nikolova, Romualdo Benigni, Olga Tcheremenskaia, Stefan Kramer, Tobias Girschick, Fabian Buchwald, Jörg Wicker, Andreas Karwath, Martin Gütlein, Andreas Maunz, Haralambos Sarimveis, Georgia Melagraki, Antreas Afantitis, Pantelis Sopasakis, David Gallagher, Vladimir Poroikov, Dmitry Filimonov, Alexey V. Zakharov, Alexey Lagunin, Tatyana Gloriozova, Sergey Novikov, Natalia Skvortsova, Dmitry S. Druzhilovskiy, Sunil Chawla, Indira Ghosh, Surajit Ray, Hitesh Patel, Sylvia Escher
2010 — conf
Latent Structure Pattern Mining.
ECML/PKDD (2)
Andreas Maunz, Christoph Helma, Tobias Cramer, Stefan Kramer
2009 — conf
Large-Scale Graph Mining Using Backbone Refinement Classes.
MLG/SRL@ILP
Andreas Maunz, Christoph Helma, Stefan Kramer
2009 A* conf
Large-scale graph mining using backbone refinement classes.
KDD
Andreas Maunz, Christoph Helma, Stefan Kramer