Rheinisch-Westfälische Technische Hochschule (RWTH) Aachen

University / College


Location: Aachen, Germany (DE) DE

ISNI: 000000010728696X

ROR: https://ror.org/04xfq0f34

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Types of publications

Journal article
Book chapter / Article in edited volumes
Authored book
Translation
Thesis
Edited Volume
Conference contribution
Other publication type
Unpublished / Preprint

Publication year

From
To

Abstract

Journal

Instance segmentation of biomedical images with an object-aware embedding learned with local constraints (2019) Chen L, Strauch M, Merhof D Conference contribution GAN-based image enrichment in digital pathology boosts segmentation accuracy (2019) Gupta L, Klinkhammer BM, Boor P, Merhof D, Gadermayr M Conference contribution Multi scale curriculum CNN for context-aware breast mri malignancy classification (2019) Haarburger C, Baumgartner M, Truhn D, Broeckmann M, Schneider H, Schrading S, Kuhl C, Merhof D Conference contribution Combined Learning for Similar Tasks with Domain-Switching Networks (2019) Bug D, Eschweiler D, Liu Q, Schock J, Weninger L, Feuerhake F, Schueler J, et al. Conference contribution Semantic segmentation of brain tumors in MRI data without any labels (2019) Weninger L, Krauhausen I, Merhof D Conference contribution Multiparametric magnetic resonance image synthesis using generative adversarial networks (2019) Haarburger C, Horst N, Truhn D, Broeckmann M, Schrading S, Kuhl C, Merhof D Conference contribution Topical polidocanol application in combination with static stretching in tendinopathies: A prospective pilot study (2019) Gatz M, Schrading S, Dirrichs T, Tingart M, Rath B, Kuhl C, Quack V, Betsch M Journal article S3-Leitlinie: Durchführung des Epikutantests mit Kontaktallergenen und Arzneimitteln - Kurzfassung Teil 2. (2019) Mahler V, Nast A, Bauer A, Becker D, Brasch J, Breuer K, Dickel H, et al. Journal article Androgen receptor expression and response to chemotherapy in breast cancer patients treated in the neoadjuvant TECHNO and PREPARE trial (2019) Witzel I, Loibl S, Wirtz R, Fasching P, Denkert C, Weber K, Lück HJ, et al. Journal article A Deep Learning Approach for Managing Medical Consumable Materials in Intensive Care Units via Convolutional Neural Networks: Technical Proof-of-Concept Study (2019) Peine A, Hallawa A, Schöffski O, Dartmann G, Begic Fazlic L, Schmeink A, Marx G, Martin L Journal article