Publications

2020

Books and book chapters


  • 2020phdthesis

    Daniel Bug

    Digital histopathology: Image processing for histological analyses and immune response quantification

  • 2020phdthesis

    Simon Koppers

    Signal enhancement and signal reconstruction for diffusion imaging using deep learning

Journal publications

  • 2020

    2020article

    B. Theek, T. Nolte, D. Pantke, F. Schrank, F. Gremse and V. Schulz & F. Kiessling

    Emerging methods in radiology

    In: Radiologe 60 (Suppl 1), S. 41-53

  • 2020article

    M. Weger, B. Weger, A. Schink, M. Takamiya, J. Stegmaier, C. Gobet, A. Parisi, A. Kobitski, J. Mertes, N. Krone, U. Strähle, G. U. Nienhaus, R. Mikut, F. Gachon, P. Gut and T. Dickmeis

    MondoA Regulates Gene Expression in Cholesterol Biosynthesis-Associated Pathways Required for Zebrafish Epiboly

    In: Elife 9, S. e57068, eLife Sciences Publications Limited

  • 2020article

    Leon Weninger, Chuh-Hyoun Na, Kerstin Jütten and Dorit Merhof

    Analyzing the effects of free water modeling by deep learning on diffusion MRI structural connectivity estimates in glioma patients

    In: PLOS ONE 15 (9), S. 1-17

  • 2020article

    Dorit Merhof Tarek Stiebel

    Brightness Invariant Deep Spectral Super-Resolution

    In: Sensors

  • 2020article

    Tianyu Han, Sven Nebelung, Christoph Haarburger, Nicolas Horst, Sebastian Reinartz, Dorit Merhof, Fabian Kiessling, Volkmar Schulz and Daniel Truhn

    Breaking medical data sharing boundaries by employing artificial radiographs

    In: Science Advances

  • 2020article

    Michael Schleyer, Alice Weiglein, Juliane Thoener, Martin Strauch, Volker Hartenstein, Melisa Kantar Weigelt, Sarah Schuller, Timo Saumweber, Katharina Eichler, Astrid Rohwedder, Dorit Merhof, Marta Zlatic, Andreas Stefan Thum and Bertram Gerber

    Identification of dopaminergic neurons that can both establish associative memory and acutely terminate its behavioral expression

    In: Journal of Neuroscience 40 (31), S. 5990--6006, Soc Neuroscience

  • 2020article

    Christoph Haarburger, Gustav Müller-Franzes, Leon Weninger, Christiane Kuhl, Daniel Truhn and Dorit Merhof

    Radiomics feature reproducibility under inter‐rater variability in segmentations of ct images

    In: Scientific Reports (accepted), Nature Publishing Group

  • 2020article

    Lipeng Ning, Elisenda Bonet-Carne, Francesco Grussu, Farshid Sepehrband, Enrico Kaden, Jelle Veraart, Stefano B. Blumberg, Can Son Khoo, Marco Palombo, Iasonas Kokkinos, Daniel C. Alexander, Jaume Coll-Font, Benoit Scherrer, Simon K. Warfield, Suheyla Cetin Karayumak, Yogesh Rathi, Simon Koppers, Leon Weninger, Julia Ebert, Dorit Merhof and others

    Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: Algorithms and results

    In: Neuroimage

  • 2020article

    Daniel Truhn, Nicolai Brill, Benedikt Braun, Dorit Merhof, Christiane Kuhl, Matthias Knobe, Johannes Thüring and Sven Nebelung

    A multi-purpose force-controlled loading device for cartilage and meniscus functionality assessment using advanced MRI techniques

    In: Journal of the Mechanical Behavior of Biomedical Materials 101, S. 103428-1 - 103428-9

  • 2020article

    Johannes Thüring, Oliver Rippel, Christoph Haarburger, Dorit Merhof, Philipp Schad, Philipp Bruners, Christiane K. Kuhl and Daniel Truhn

    Multiphase CT-based prediction of Child-Pugh classification: a machine learning approach

    In: European Radiology Experimental 4 (1), S. 1-9

  • 2020article

    K. Streule, A. Bartschat, M. Böhland, K. Löffler, J. Stegmaier, M. Reischl, V. Orian-Rousseau, R. Mikut T. Scherr

    BeadNet: Automated Bead Detection and Counting in Low-Resolution Microscopy Images

    In: Bioinformatics 36 (17), S. 4668--4670, Oxford University Press

  • 2020article

    M. Takamiya, J. Stegmaier, A. Y. Kobitski, B. Schott, B. D. Weger, D. Margariti, A. R. C. Delgado, V. Gourain, T. Scherr, L. Yang, S. Sorge, V. Hartmann, J. C. Otte, J. v. Wezel, R. Stotzka, T. Reinhard, G. Schlunk, T. Dickmeis, S. Rastegar, R. Mikut, G. U. Nienhaus and U. Strähle

    Pax6 Organizes the Anterior Eye Segment Independently of Optic Cup Patterning by Guiding Two Distinct Neural Crest Waves

    In: PLoS Genetics 16 (6), S. e1008774

  • 2020article

    J. Gierten, C. Pylatiuk, O. T. Hammouda, C. Schock, J. Stegmaier, J. Wittbrodt, J. Gehrig and F. Loosli

    Automated High-Throughput Heartbeat Quantification in Medaka and Zebrafish Embryos under Physiological Conditions

    In: Scientific Reports 10 (1), S. 1--12, Nature Publishing Group

Conference publications

  • 2020inproceedings

    Justus Schock, Paul Kruse Marcin Kopaczka and Dorit Merhof

    Efficient Deep Face Alignment with Explicit Statistical Shape Models in Convolutioal Neural Networks

    In: 10th International Conference on Imag Processing Theory, Tools and Applications (IPTA)

  • 2020inproceedings

    Dorit Merhof Tarek Stiebel

    Linear Spectral Estimate Refinement for Spectral Reconstruction from RGB

    In: The Twenty-eighth Color and Imaging Conference (CIC28)

  • 2020inproceedings

    Justus Schock, Marcin Kopaczka, Benjamin Agthe, Jie Huang, Paul Kruse, Daniel Truhn, Stefan Conrad, Gerald Antoch, Christiane Kuhl, Sven Nebelung and Dorit Merhof

    A Method for Semantic Knee Bone and Cartilage Segmentation with Deep 3D Shape Fitting Using Data From the Osteoarthritis Initiative

    In: MICCAI Workshop on Shape Analysis in Medical Imaging (ShapeMI)

  • 2020inproceedings

    Long Chen, Weiwen Zhang, Yuli Wu, Martin Strauch and Dorit Merhof

    Semi-supervised Instance Segmentation with a Learned Shape Prior

    In: MICCAI Workshop on Medical Image Learning with Less Labels and Imperfect Data (MIL3ID)

  • 2020inproceedings

    M. Traub and J. Stegmaier

    Towards Automatic Embryo Staging in 3D+t Microscopy Images using Convolutional Neural Networks and PointNets

    In: MICCAI International Workshop on Simulation and Synthesis in Medical Imaging (SASHIMI)

  • 2020inproceedings

    Tarek Stiebel, Oliver Rippel, Volker Lutz, Jonas Osburg, Thomas Gries Dieter Geller and Dorit Merhof

    Accurate Stitch Position Identification of Sewn Threads in Textiles

    In: IEEE 25th International Conference on Emerging Technologies and Factory Automation (ETFA)

  • 2020inproceedings

    Oliver Rippel, Maximilian Müller and Dorit Merhof

    GAN-based Defect Synthesis for Anomaly Detection in Fabrics

    In: IEEE 25th International Conference on Emerging Technologies and Factory Automation (ETFA)

  • 2020inproceedings

    Yuli Wu, Long Chen and Dorit Merhof

    Improving Pixel Embedding Learning through Intermediate Distance Regression Supervision for Instance Segmentation

    In: ECCV Workshop on Computer Vision Problems in Plant Phenotyping

  • 2020inproceedings

    Priyanka Das, Nicolas Horst and Mathias Wien

    Coding of Non-Rectangular Signals with Block-Based Transforms

    In: IEEE International Conference on Image Processing (ICIP)

  • 2020inproceedings

    Philipp Gräbel, Gregor Nickel, Martina Crysandt, Reinhild Herwartz, Melanie Hoffmann, Barbara M. Klinkhammer, Peter Boor, Tim H. Brümmendorf and Dorit Merhof

    Systematic Analysis and Automated Search of Hyper-parameters for Cell Classifier Training

    In: IEEE International Symposium on Biomedical Imaging (ISBI)

  • 2020inproceedings

    S. Bhide, R. Mikut, M. Leptin and J. Stegmaier

    Semi-Automatic Generation of Tight Binary Masks and Non-Convex Isosurfaces for Quantitative Analysis of 3D Biological Samples

    In: IEEE International Conference on Image Processing (ICIP), S. (in press), IEEE

  • 2020inproceedings

    Oliver Rippel, Maximilian Schnabel, Georg-Philipp Paar, Thomas Gries and Dorit Merhof

    Automated Segmentation of Profiled Fibers in cross-sectional Micrographs for Quality Control

    In: IEEE International Instrumentation and Measurement Technology Conference (I2MTC), S. 1-6

  • 2020inproceedings

    Richard Lindenputz, Daniel Truhn, Maximilian Schulze-Hagen Marcin Kopaczka and Dorit Merhof

    Fully Automated Segmentation of the Psoas Major Muscle in Clinical CT Scans

    In: Bildverarbeitung fuer die Medizin (BVM)

  • 2020inproceedings

    Marcin Kopaczka, Tobias Jacob, Lisa Ernst, Mareike Schulz, Rene Tolba and Dorit Merhof

    Robust Open Field Rodent Tracking using a Fully Convolutional Network and a Softargmax Distance Loss

    In: Bildverarbeitung fuer die Medizin (BVM)

  • 2020inproceedings

    Tarek Stiebel and Dorit Merhof

    Deep Optimal Filter Responses for Multi-Spectral Imaging

    In: London Image Meeting (LIM)

  • 2020inproceedings

    Philipp Gräbel, Özcan Özkan, Martina Crysandt, Reinhild Herwartz, Melanie Hoffmann, Barbara M. Klinkhammer, Peter Boor, Tim H. Brümmendorf and Dorit Merhof

    Circular Anchors for the Detection of Hematopoietic Cells using RetinaNet

    In: IEEE International Symposium on Biomedical Imaging (ISBI)

  • 2020inproceedings

    Christoph Haarburger, Justus Schock, Daniel Truhn, Philippe Weitz, Gustav Mueller-Franzes, Leon Weninger and Dorit Merhof

    Radiomic Feature Stability Analysis based on Probabilistic Segmentations

    In: IEEE International Symposium on Biomedical Imaging (ISBI)

  • 2020inproceedings

    Daniel Bug, Gregor Nickel, Anne Grote, Friedrich Feuerhake, Eva Oswald, Julia Schüler and Dorit Merhof

    Image Quilting for Histological Image Synthesis

    In: Bildverarbeitung für die Medizin (BVM), Springer

  • 2020inproceedings

    Long Chen, Martin Strauch, Matthias Daub, Xiaochen Jiang, Marcus Jansen, Hans-Georg Luigs, Susanne Schultz-Kuhlmann, Stefan Kruessel and Dorit Merhof

    A CNN Framework Based on Line Annotations for Detecting Nematodes in Microscopic Images

    In: IEEE International Symposium on Biomedical Imaging (ISBI)

  • 2020inproceedings

    Daniel Bug, Felix Bartsch, Nadine Sarah Schaadt, Mathias Wien, Friedrich Feuerhake, Julia Schüler, Eva Oswald and Dorit Merhof

    Scalable HEVC for Histological Whole-Slide Image Compression

    In: Bildverarbeitung für die Medizin (BVM), Springer

  • 2020inproceedings

    Tarek Stiebel, Philip Seltsam and Dorit Merhof

    Enhancing Deep Spectral Super-Resolution from RGB Images by enforcing the Metameric Constraint

    In: 15th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP), S. 57-66

By continuing to use the site, you agree to the use of cookies. more information

English translation below.
English translation below.

Only your chosen language settings are stored in the cookies. Please also read our Privacy Policy.


The cookie settings on this website are set to "allow cookies" to give you the best browsing experience possible. If you continue to use this website without changing your cookie settings or you click "Accept" below then you are consenting to this.

Only your chosen language settings are stored in the cookies. Please also read our privacy policy.

Close