Bücher und Buchkapitel

2019

Marcin Kopaczka, Marco Saggiomo, Moritz Güttler, Kevin Kielholz and Dorit Merhof
Detection and Classification of Faulty Weft Threads Using Both Feature-Based and Deep Convolutional Machine Learning Methods
In: Pattern Recognition Applications and Methods (ICPRAM 2018, Revised Selected Papers)

2019

Joschka zur Jacobsmühlen
Image-based methods for inspection of laser beam melting processes

Journal-Veröffentlichungen

2019

Leon Weninger, Christoph Haarburger and Dorit Merhof
Robustness of Radiomics for Survival Prediction of Brain Tumor Patients Depending on Resection Status
In: Frontiers in Computational Neuroscience 13

2019

Laura Hoppe Alvarez, Sabine Eisold, Rustam A. Gumerov, Martin Strauch, Andrey A. Rudov, Pia Lenssen, Dorit Merhof, Igor I. Potemkin, Ulrich Simon and Dominik Wöll
Deformation of Microgels at Solid-Liquid Interfaces Visualized in Three-Dimension
In: Nano Letters

2019

J. Christopher Edgar, Marissa Dipiero, Emma McBride, Heather L. Green, Jeffrey I. Berman, Matthew Ku, Song Liu, Lisa Blaskey, Emily Kuschner, Megan Airey, Judith L. Ross, Luke Bloy, Mina Kim, Simon Koppers, William Gaetz, Robert T. Schultz and Timothy P. L. Roberts
Abnormal maturation of the resting-state peak alpha frequency in children with autism spectrum disorder
In: Human Brain Mapping

2019

Mathias Wien, Jill M. Boyce, Thomas Stockhammer and Wen-Hsiao Peng
Standardization Status of Immersive Video Coding
In: IEEE Journal on Emerging and Selected Topics in Circuits and Systems 9 (1)

2019

Georg Wimmer, Michael Gadermayr, Gernot Wolkersdörfer, Roland Kwitt, Toru Tamaki, Jens Tischendorf, Michael Häfner, Shigeto Yoshida, Shinji Tanaka, Dorit Merhof, Andreas Uhl
Quest for the best endoscopic imaging modality for computer-assisted colonic polyp staging
In: World Journal of Gastroenterology

2019

Mathias Wien, Jill M. Boyce, Thomas Stockhammer and Wen-Hsiao Peng
Guest Editorial Immersive Video Coding and Transmission
In: IEEE Journal on Emerging and Selected Topics in Circuits and Systems 9 (1)

2019

Daniel Truhn, Björn Sondern, Simon Oehrl, Markus Tingart, Matthias Knobe, Dorit Merhof, Christiane Kuhl, Johannes Thüring and Sven Nebelung
Differentiation of human cartilage degeneration by functional MRI mapping — an ex vivo study
In: European Radiology

2019

Daniel Truhn, Simone Schrading, Christoph Haarburger, Hannah Schneider, Dorit Merhof and Christiane Kuhl
Radiomic versus Convolutional Neural Networks Analysis for Classification of Contrast-enhancing Lesions at Multiparametric Breast MRI
In: Radiology

2019

Chantal MW Tax, Francesco Grussu, Enrico Kaden, Lipeng Ning, Umesh Rudrapatna, John Evans, Samuel St-Jean, Alexander Leemans, Simon Koppers, Dorit Merhof, others
Cross-scanner and cross-protocol diffusion MRI data harmonisation: A benchmark database and evaluation of algorithms
In: NeuroImage

2019

Marcin Kopaczka, Lukas Breuer, Justus Schock and Dorit Merhof
A Modular System for Detection, Tracking and Analysis of Human Faces in Thermal Infrared Recordings
In: Sensors

2019

Marcin Kopaczka, Raphael Kolk, Justus Schock, Felix Burkhard and Dorit Merhof
A Thermal Infrared Face Database With Facial Landmarks and Emotion Labels
In: IEEE Transactions on Instrumentation and Measurement

2019

Christoph Haarburger, Justus Schock, Michael Baumgartner, Oliver Rippel and Dorit Merhof
Delira: A High-Level Framework for Deep Learning in Medical Image Analysis
In: Journal of Open Source Software

2019

M. Grösche, A. E. Zoheir, J. Stegmaier, R. Mikut, D. Mager, J. G. Korvink, K. S. Rabe and C. M. Niemeyer
Microfluidic Chips for Life Sciences—A Comparison of Low Entry Manufacturing Technologies
In: Small

2019

V. Gerber, L. Yang, M. Takamiya, V. Ribes, V. Gourain, R. Peravali, J. Stegmaier, R. Mikut, M. Reischl, M. Ferg, U. Strähle
The HMG Box Transcription Factors Sox1a and Sox1b Specify a New Class of Glycinergic Interneuron in the Spinal Cord of Zebrafish Embryos
In: Development 146 (4)

2019

Michael Gadermayr, Laxmi Gupta, Vitus Appel, Peter Boor, Barbara Mara Klinkhammer and Dorit Merhof
Generative Adversarial Networks for Facilitating Stain-Independent Supervised & Unsupervised Segmentation: A Study on Kidney Histology
In: IEEE Transactions on Medical Imaging

2019

Michael Gadermayr, Ann-Kathrin Dombrowski, Barbara Mara Klinkhammer, Peter Boor and Dorit Merhof
CNN Cascades for Segmenting Sparse Objects in Gigapixel Whole Slide Images
In: Computerized Medical Imaging and Graphics 71

2019

Daniel Bug, Friedrich Feuerhake, Eva Oswald, Julia Schüler and Dorit Merhof
Semi-Automated Analysis of Digital Whole Slides from Humanized Lung-Cancer Xenograft Models for Checkpoint Inhibitor Response Prediction
In: Oncotarget

2019

A. Bartschat, S. Allgeier, T. Scherr, J. Stegmaier, S. Bohnand an K.-M. Reichert, A. Kuijper, M. Reischl, O. Stachs, B. Köhler, R. Mikut
Fuzzy Tissue Detection for Real-Time Focal Control in Corneal Confocal Microscopy
In: at Automatisierungstechnik

Konferenz-Veröffentlichungen

2019

Leon Weninger, Qianyu Liu and Dorit Merhof
Multi-Task Learning for Brain Tumor Segmentation
In: MICCAI Brainlesion Workshop (BrainLes)

 
2019

Bug, Daniel, Gräbel, Philipp, Feuerhake, Friedrich, Oswald, Eva, Schüler, Julia and Merhof, Dorit
Supervised and Unsupervised Cell-Nuclei Detection in Immunohistology
In: COMPAY2019: 2nd MICCAI Workshop on Computational Pathology

2019

Martin Strauch, Karl Krüger, Latha Mukunda, Alja Lüdke, C. Giovanni Galizia and Dorit Merhof
Interpolating maps between neural response spaces for chemosensing with fruit fly antenna sensors.
In: 19th IEEE Conference on Bioinformatics and Bioengineering

2019

Philipp Gräbel, Martina Crysandt, Reinhild Herwartz, Melanie Hoffmann, Barbara M. Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof
Refinement of Weak Annotations for the Segmentation of Bone Marrow Leukocytes
In: 2nd MICCAI Workshop on Computational Pathology (COMPAY)

2019

Leon Weninger, Simon Koppers, Chuh-Hyoun Na, Kerstin Juetten and Dorit Merhof
Free-Water Correction in Diffusion MRI: A Reliable and Robust Learning Approach
In: MICCAI Workshop on Computational Diffusion MRI (CDMRI)

2019

Christoph Haarburger, Michael Baumgartner, Daniel Truhn, Mirjam Broeckmann, Hannah Schneider, Simone Schrading, Christiane Kuhl and Dorit Merhof
Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification
In: International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)

2019

Leon Weninger, Imke Krauhausen and Dorit Merhof
Semantic Segmentation of Brain Tumors in MRI Data without any Labels
In: Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM)

2019

Oliver Rippel, Daniel Truhn, Johannes Thüring, Christoph Haarburger, Christiane K. Kuhl and Dorit Merhof
Prediction of Liver Function based on DCE-CT
In: Bildverarbeitung für die Medizin (BVM)

2019

Simon Koppers, Edouard Coussoux, Sandro Romanzetti, Kathrin Reetz, Dorit Merhof
Sodium Image Denoising based on a Convolutional Denoising Autoencoder
In: Bildverarbeitung für die Medizin (BVM)

2019

Marcin Kopaczka, Daniel Tillmann, Lisa Ernst, Justus Schock, Ren'{e} H. Tolba and Dorit Merhof
Assessment of Laboratory Mouse Activity in Video Recordings Using Deep Learning Methods
In: International Engineering in Medicine and Biology Conference (EMBC)

2019

Christoph Haarburger, Nicolas Horst, Daniel Truhn, Mirjam Broeckmann, Simone Schrading, Christiane Kuhl and Dorit Merhof
Multiparametric Magnetic Resonance Image Synthesis using Generative Adversarial Networks
In: Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM)

2019

Christoph Haarburger, Philippe Weitz, Oliver Rippel and Dorit Merhof
Image-based Survival Prediction for Lung Cancer Patients using CNNs
In: IEEE International Symposium on Biomedical Imaging (ISBI)

2019

Laxmi Gupta, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof and Michael Gadermayr
GAN-Based Image Enrichment in Digital Pathology Boosts Segmentation Accuracy
In: International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)

2019

Laxmi Gupta, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof and Michael Gadermayr
Iterative learning to make the most of unlabeled and quickly obtained labeled data in histology
In: 2nd International Conference on Medical Imaging with Deep Learning (MIDL)

2019

Michael Gadermayr, Laxmi Gupta, Barbara Mara Klinkhammer, Peter Boor and Dorit Merhof
Unsupervisedly Training GANs for Segmenting Digital Pathology with Automatically Generated Annotations
In: 2nd International Conference on Medical Imaging with Deep Learning (MIDL)

2019

Dennis Eschweiler, Tim Klose, Florian Nicolas Müller-Fouarge, Marcin Kopaczka, Johannes Stegmaier
Towards Annotation-Free Segmentation of Fluorescently Labeled Cell Membranes in Confocal Microscopy Images
In: MICCAI International Workshop on Simulation and Synthesis in Medical Imaging (SASHIMI)

2019

Dennis Eschweiler, Thiago V. Spina, Rohan C. Choudhury, Elliot Meyerowitz, Alexandre Cunha, Johannes Stegmaier
CNN-based Preprocessing to Optimize Watershed-based Cell Segmentation in 3D Confocal Microscopy Images
In: IEEE International Symposium on Biomedical Imaging (ISBI)

2019

Long Chen, Martin Strauch and Dorit Merhof
Instance Segmentation of Biomedical Images with an Object-aware Embedding Learned with Local Constraints
In: International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)

2019

Long Chen, Martin Strauch, Matthias Daub, Marcus Jansen, Hans-Georg Luigs and Dorit Merhof
Instance Segmentation of Nematode Cysts in Microscopic Images of Soil Samples
In: International Engineering in Medicine and Biology Conference (EMBC)

2019

Daniel Bug, Dennis Eschweiler, Qianyu Liu, Justus Schock, Leon Weninger, Friedrich Feuerhake, Julia Schüler, Johannes Stegmaier and Dorit Merhof
Combined Learning for Similar Tasks with Domain-Switching Networks
In: International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)

2019

Nassim Bouteldja, Dorit Merhof, Jan Ehrhardt and Mattias P. Heinrich
Deep Multi-Modal Encoder-Decoder Networks for Shape Constrained Segmentation and Joint Representation Learning
In: Bildverarbeitung für die Medizin (BVM)