Rheinisch-Westfälische Technische Hochschule (RWTH) Aachen

University / College


Location: Aachen, Germany (DE) DE

ISNI: 000000010728696X

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

Show on Map:


close-button

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Unpublished / Preprint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

larvalign: Aligning Gene Expression Patterns from the Larval Brain of Drosophila melanogaster (2018) Muenzing SEA, Strauch M, Truman JW, Buehler K, Thum AS, Merhof D Journal article Towards analysis of mental stress using thermal infrared tomography (2018) Kopaczka M, Jantos T, Merhof D Conference contribution Transfer learning for breast cancer malignancy classification based on dynamic contrast-enhanced MR images (2018) Haarburger C, Langenberg P, Truhn D, Schneider H, Thüring J, Schrading S, Kuhl CK, Merhof D Conference contribution Gradual domain adaptation for segmenting whole slide images showing pathological variability (2018) Gadermayr M, Eschweiler D, Klinkhammer BM, Boor P, Merhof D Conference contribution Fully automatic faulty weft thread detection using a camera system and feature-based pattern recognition (2018) Kopaczka M, Saggiomo M, Guettler M, Gries T, Merhof D Conference contribution Evaluating Out-of-the-Box Methods for the Classification of Hematopoietic Cells in Images of Stained Bone Marrow (2018) Graebel P, Crysandt M, Herwartz R, Hoffmann M, Klinkhammer BM, Boor P, Bruemmendorf TH, Merhof D Conference contribution Which way round? A study on the performance of stain-translation for segmenting arbitrarily dyed histological images (2018) Gadermayr M, Appel V, Klinkhammer BM, Boor P, Merhof D Conference contribution A robust algorithm for computing boundary points of the metamer mismatch body (2018) Stiebel T, Merhof D Conference contribution Robust statistics for feature-based active appearance models (2018) Kopaczka M, Gräbel P, Merhof D Conference contribution Introducing CNN-based mouse grim scale analysis for fully automated image-based assessment of distress in laboratory mice (2018) Kopaczka M, Ernst L, Schock J, Schneuing A, Guth A, Tolba R, Merhof D Conference contribution