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Unpublished / Preprint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

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Abstract

Journal

Rotation Invariance for Unsupervised Cell Representation Learning: Analysis of The Impact of Enforcing Rotation Invariance or Equivariance on Representation for Cell Classification (2021) Gräbel P, Laube I, Crysandt M, Herwartz R, Baumann M, Klinkhammer BM, Boor P, et al. Conference contribution Reduction of Stain Variability in Bone Marrow Microscopy Images: Influence of Augmentation and Normalization Methods on Detection and Classification of Hematopoietic Cells (2021) Gräbel P, Crysandt M, Herwartz R, Baumann M, Klinkhammer BM, Boor P, Brümmendorf TH, Merhof D Conference contribution Estimating the probability density function of new fabrics for fabric anomaly detection (2021) Rippel O, Müller M, Münkel A, Gries T, Merhof D Conference contribution Gaussian Anomaly Detection by Modeling the Distribution of Normal Data in Pretrained Deep Features (2021) Rippel O, Mertens P, Koenig E, Merhof D Journal article State of the art cell detection in bone marrow whole slide images (2021) Gräbel P, Özkan Ö, Crysandt M, Herwartz R, Baumann M, Klinkhammer B, Boor P, et al. Journal article Enhancing Diffusion Signal Augmentation Using Spherical Convolutions (2021) Koppers S, Merhof D Conference contribution Improving Localization of Brain Tumors through 3D GAN Inpainting (2021) Weninger L, Gilerson A, Merhof D Conference contribution Anomaly Detection for the Automated Visual Inspection of PET Preform Closures (2021) Rippel O, Haumering P, Brauers J, Merhof D Conference contribution Leveraging pre-trained Segmentation Networks for Anomaly Segmentation (2021) Rippel O, Merhof D Conference contribution Guided Representation Learning for the Classification of Hematopoietic Cells (2021) Graebel P, Crysandt M, Klinkhammer BM, Boor P, Bruemmendorf TH, Merhof D Conference contribution