Start/Lehrstuhl/Alumni/Johannes Stegmaier

Lehrstuhl

Johannes Stegmaier

Jun.-Prof. Dr.-Ing.

Johannes Stegmaier

Juniorprofessor

Curriculum Vitae

Okt 2022 – Sep 2024
Professurvertretung (W3) am Lehrstuhl für Bildgebung und Bildverarbeitung, RWTH Aachen
Apr 2018 – Okt 2025 Juniorprofessor (W1) für biomedizinische Bildverarbeitung, RWTH Aachen
Okt 2016 – Jan 2017 Postdoc am Center for Advanced Methods in Biological Image Analysis, Caltech, CA, USA
Feb 2015 – Dez 2017 Postdoc am Institut für Angewandte Informatik, Karlsruher Institut für Technologie
Jun 2016 Promotion (Dr.-Ing.) an der Fakultät für Maschinenbau am Karlsruher Institut für Technologie.
Dissertation: “New Methods to Improve Large-Scale Microscopy Image Analysis with Prior Knowledge and Uncertainty”
Jan 2014 – Mai 2014 Short Term Scholar am Janelia Research Campus, Ashburn, VA, USA
Feb 2012 – Jan 2015 Wissenschaftlicher Mitarbeiter am Institut für Angewandte Informatik, Karlsruher Institut für Technologie
Okt 2009 – Dez 2011 Master of Science in Bioinformatik und Systembiologie, Albert-Ludwidgs-Universität Freiburg i. Br.
Okt 2006 – Sep 2009 Bachelor of Science in Bioinformatik an der Eberhard-Karls-Universität Tübingen

Abschlussarbeiten

 

Veröffentlichungen

 

Bücher und Buchkapitel

  • 2022inbook

    D. Eschweiler, I. Laube and J. Stegmaier

    Spatiotemporal Image Generation for Embryomics Applications

    In: Biomedical Image Synthesis and Simulation: Methods and Applications, S. (in press)

  • 2018

    2018

    V. Bedell, E. Buglo, D. Marcato, C. Pylatiuk, R. Mikut, J. Stegmaier, W. Scudder, M. Wray, S. Züchner, U. Strähle, R. Peravali, J. E. Dallman

    Zebrafish: A Pharmacogenetic Model for Anesthesia

    In: Methods in Enzymology

  • 2016

    2016

    J. Stegmaier

    New Methods to Improve Large-Scale Microscopy Image Analysis with Prior Knowledge and Uncertainty

    In: KIT Scientific Publishing

 

Journal-Veröffentlichungen

  • 2026article

    Jiayun Wang, Tibor Lohmann, Yuli Wu, Kim Schaffrath, Henning Konermann, Kaan Keven, Frederic Balcewicz, Sandra Johnen, Johannes Stegmaier, Peter Walter and others

    Anatomical effects of ablation of the anterior retina in small animal eyes

    In: BMC Ophthalmology 26 (1), S. 184

  • 2026

    2026article

    Eashika Ghosh, Yuli Wu, Hocine Bahri, Vivek Pachauri, Ziyu Gao, Johannes Stegmaier and Sven Ingebrandt

    Advancing Retina Implant Concepts: Assessing the Design and Validation of Origami-Type Epiretinal Implants by Computational Modeling

    In: physica status solidi (a) 223 (14), S. e202600002

  • 2025

    2025article

    Rüveyda Yilmaz, Julian Thull, Johannes Stegmaier and Volkmar Schulz

    Diffusion-based Sinogram Interpolation for Limited Angle PET

    In: arXiv preprint arXiv:2511.09383

  • 2024article

    Dennis Eschweiler, Rüveyda Yilmaz, Matisse Baumann, Ina Laube, Rijo Roy, Abin Jose, Daniel Brückner and Johannes Stegmaier

    Denoising Diffusion Probabilistic Models for Generation of Realistic Fully-Annotated Microscopy Image Data Sets

    In: PLOS Computational Biology 20 (2), S. e1011890

  • 2023article

    F. Khader, G. Müller-Franzes, S. Tayebi Arasteh, T. Han, C. Haarburger, M. Schulze-Hagen, P. Schad, S. Engelhardt, B. Baeßler, S. Foersch, J. Stegmaier, C. Kuhl, S. Nebelung, J. N. Kather and D. Truhn

    Denoising Diffusion Probabilistic Models for 3D Medical Image Generation

    In: Scientific Reports 13 (1), S. 7303, Nature Publishing Group UK London

  • 2023article

    F. Khader, J. N. Kather, G. Müller-Franzes, T. Wang, T. Han, S. Tayebi Arasteh, K. Hamesch, K. Bressem, C. Haarburger, J. Stegmaier, C. Kuhl, S. Nebelung and D. Truhn

    Medical Transformer for Multimodal Survival Prediction in Intensive Care: Integration of Imaging and Non-Imaging Data

    In: Scientific Reports 13 (1), S. 10666, Nature Publishing Group UK London

  • 2023article

    A. Dievernich, J. Stegmaier, P. Achenbach, S. Warkentin, T. Braunschweig, U. P. Neumann and U. Klinge

    A Deep-Learning-Computed Cancer Score for the Identification of Human Hepatocellular Carcinoma Area Based on a Six-Colour Multiplex Immunofluorescence Panel

    In: Cells 12 (7), S. 1074, MDPI

  • 2023article

    Sammy Hermans, Jacob Pilon, Dennis Eschweiler, Johannes Stegmaier, Carmen AH Severens-Rijvers, Salwan Al-Nasiry, Marc van Zandvoort and Dimitrios Kapsokalyvas

    Definition and Quantification of Three-Dimensional Imaging Targets to Phenotype Pre-Eclampsia Subtypes: An Exploratory Study

    In: International Journal of Molecular Sciences 24 (4), S. 3240

  • 2022article

    A. Bhattacharyya, A. Scheufen, J. Stegmaier D. Moreno-Andrés

    LiveCellMiner: A New Tool to Analyze Mitotic Progression

    In: PLOS ONE (in press)

  • 2022article

    S. Strauss, A. Runions, B. Lane, D. Eschweiler, N. Bajpai, N. Trozzi, A.-L. Routier-Kierzkowska, S. Yoshida, S. R. da Silveira, A. Vijayan and M. Majda, E. Echevin, C. Le Gloanec, H. Bertrand-Rakusova, M. Adibi, K. Schneitz, G. Bassel, D. Kierzkowski, J. Stegmaier, M. Tsiantis, R. S. Smith R. Tofanelli

    Using Positional Information to Provide Context for Biological Image Analysis with MorphoGraphX 2.0

    In: eLife 11, S. e72601

  • 2022article

    R. Windoffer, N. Schwarz, S. Yoon, T. Piskova, M. Scholkemper, J. Stegmaier, A. Bönsch, J. Di Russo and R. Leube

    Quantitative Mapping of Keratin Networks in 3D

    In: eLife 11, S. e75894

  • 2022article

    A. Dievernich U. Klinge and J. Stegmaier

    Quantitative Characterization of Macrophage, Lymphocyte and Neutrophil Subtypes within the Foreign Body Granuloma of Human Mesh Explants by 5 Marker Multiplex Fluorescence Microscopy

    In: Frontiers in Medicine, S. 125, Frontiers

  • 2021article

    Y.-F. Zhang, L. V. Cifuentes, K. N. Wright, J. P. Bhattarai, J. Mohrhardt, D. Fleck, E. Janke, C. Jiang, S. L. Cranfill, N. Goldstein, M. Schreck, A. H. Moberly, Y. Yu, B. R. Arenkiel, J. N. Betley, W. Luo, J. Stegmaier, D. W. Wesson, M. Spehr, M. V. Fuccillo and M. Ma

    Ventral Striatal Islands of Calleja Neurons Control Grooming in Mice

    In: Nature Neuroscience, S. 1--12, Nature Publishing Group

  • 2021article

    Dennis Eschweiler, Malte Rethwisch, Mareike Jarchow, Simon Koppers and Johannes Stegmaier

    3D fluorescence microscopy data synthesis for segmentation and benchmarking

    In: PLOS ONE 16 (12), S. 1-21, Public Library of Science

  • 2021article

    S. Rubin, A. Agrawal, J. Stegmaier, S. Krief, N. Felsenthal, J. Svorai, Y. Addadi, P. Villoutreix, T. Stern and E. Zelzer

    Application of 3D MAPs Pipeline Identifies the Morphological Sequence Chondrocytes Undergo and the Regulatory Role of GDF5 in this Process

    In: Nature Communications 12 (1), S. 1--16, Nature Publishing Group

  • 2021article

    S. Bhide, D. Gombalova, G. Mönke, J. Stegmaier, V. Zinchenko, A. Kreshuk, J. M. Belmonte and M. Leptin

    Mechanical Competition Alters the Cellular Interpretation of an Endogenous Genetic Program

    In: Journal of Cell Biology 220 (11), S. e202104107, Rockefeller University Press

  • 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

    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

  • 2019article

    K. Neeraj, V. Ruchika, A. Deepak, Z. Yanning, F. O. Omer, T. Efstratios, C. Hao, A. H. Pheng, L. Jiahui, H. Zhiqiang, [...], D. Eschweiler, J. Stegmaier and others

    A Multi-organ Nucleus Segmentation Challenge

    In: IEEE Transactions on Medical Imaging, IEEE

  • 2019article

    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 15, S. 1901956

  • 2019article

    V. Gerber, L. Yang, M. Takamiya, V. Ribes, V. Gourain, R. Peravali, J. Stegmaier, R. Mikut, M. Reischl, M. Ferg and 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), S. dev172510, Oxford University Press for The Company of Biologists Limited

  • 2019article

    A. Bartschat, S. Allgeier, T. Scherr, J. Stegmaier, S. Bohnand an K.-M. Reichert, A. Kuijper, M. Reischl, O. Stachs, B. Köhler and R. Mikut

    Fuzzy Tissue Detection for Real-Time Focal Control in Corneal Confocal Microscopy

    In: at Automatisierungstechnik 67 (10), S. 879--888, De Gruyter Oldenbourg

  • 2018article

    B. Mattes, Y. Dang, G. Greicius, L. T. Kaufmann, S. Özbek, B. Prunsche, J. Rosenbauer, J. Stegmaier, R. Mikut, G. U. Nienhaus, A. Schug, D. M. Virshup and S. Scholpp

    Wnt/PCP Controls Spreading of Wnt/b-Catenin Signals by Cytonemes in Vertebrates

    In: eLife

  • 2018article

    H. M. T. Choi, M. Schwarzkopf, M. E. Fornace, A. Acharya, G. Artavanis, J. Stegmaier, A. Cunha and N. A. Pierce

    Third-Generation In Situ Hybridization Chain Reaction: Multiplexed, Quantitative, Sensitive, Versatile, Robust

    In: Development

  • 2018article

    B. Schott, M. Traub, C. Schlagenhauf, M. Takamiya, T. Antritter, A. Bartschat, K. Löffler, D. Blessing, J. C. Otte, A. Y. Kobitski, G. U. Nienhaus, U. Strähle, R. Mikut and J. Stegmaier

    EmbryoMiner: A New Framework for Interactive Knowledge Discovery in Large-Scale Cell Tracking Data of Developing Embryos

    In: PLOS Computational Biology 14 (4), S. e1006128, Public Library of Science

  • 2017

    2017

    J. Stegmaier, R. Mikut

    Fuzzy-based Propagation of Prior Knowledge to Improve Large-Scale Image Analysis Pipelines

    In: PLOS ONE

  • 2017

    2017

    V. Ulman, M. Maska, K. Magnusson, O. Ronneberger, C. Haubold, N. Harder, P. Matula, P. Matula, D. Svoboda, M. Radojevic, I. Smal, K. Rohr, J. Jaldén, H. Blau, O. Dzyubachyk, B. Lelieveldt, P. Xiao, Y. Li, S. Cho, A. Dufour, J. Olivo-Marin, C. Reyes-Aldasoro, J. Solis-Lemus, R. Bensch, T. Brox, J. Stegmaier, R. Mikut, S. Wolf, F. Hamprecht, T. Esteves, P. Quelhas, Ö. Demirel, L. Malmström, F. Jug, P. Tomancak, E. Meijering, A. Munoz-Barrutia, M. Kozubek, C. Ortiz-de-Solorzano

    An Objective Comparison of Cell Tracking Algorithms

    In: Nature Methods

  • 2017

    2017

    C. Etard, S. Joshi, J. Stegmaier, R. Mikut, U. Strähle

    TIDE is a Simple and Effective Method to Assess Efficiency of Guide RNAs in Zebrafish

    In: Zebrafish

  • 2016

    2016

    J. Stegmaier, B. Schott, E. Hübner, M. Traub, M. Shahid, M. Takamiya, A. Kobitski, V. Hartmann, R. Stotzka, J. v. Wezel, A. Streit, G. U. Nienhaus, U. Strähle, M. Reischl, R. Mikut

    Automation Strategies for Large-Scale 3D Image Analysis

    In: at-Automatisierungstechnik

  • 2016

    2016

    M. Shahid, M. Takamiya, J. Stegmaier, V. Middel, N. Klüver, R. Mikut, S. Rastegar, S. Scholz, T. Dickmeis, L. Yang, U. Strähle

    Zebrafish Biosensor for Toxicant Induced Muscle Hyperactivity

    In: Scientific Reports

  • 2016

    2016

    J. Stegmaier, F. Amat, B. Lemon, K. McDole, Y. Wan, G. Teodoro, R. Mikut, P. J. Keller

    Real-Time Three-Dimensional Cell Segmentation in Large-Scale Microscopy Data of Developing Embryos

    In: Developmental Cell

  • 2016

    2016

    A. Bartschat, E. Hübner, M. Reischl, R. Mikut, J. Stegmaier

    XPIWIT – An XML Pipeline Wrapper for the Insight Toolkit

    In: Bioinformatics

  • 2015

    2015

    A. Kobitski, J. C. Otte, M. Takamiya, B. Schäfer, J. Mertes, J. Stegmaier, S. Rastegar, F. Rindone, V. Hartmann, R. Stotzka, A. García, J. v. Wezel, R. Mikut, U. Strähle, G. U. Nienhaus

    An Ensemble-Averaged Digital Model of Zebrafish Embryo Development based on High-Speed Light-Sheet Microscopy at Single-Cell Resolution

    In: Scientific Reports

  • 2014

    2014

    J. Stegmaier, J. C. Otte, A. Kobitski, A. Bartschat, A. Garcia, G. U. Nienhaus, U. Strähle, R. Mikut

    Fast Segmentation of Stained Nuclei in Terabyte-Scale, Time Resolved 3D Microscopy Image Stacks

    In: PLOS ONE

  • 2014

    2014

    J. Stegmaier, M. Shahid, M. Takamiya, L. Yang, S. Rastegar, M. Reischl, U. Strähle, R. Mikut

    Automated Prior Knowledge-Based Quantification of Neuronal Patterns in the Spinal Cord of Zebrafish

    In: Bioinformatics

  • 2013

    2013

    J. Stegmaier, D. Skanda, D. Lebiedz

    Robust Optimal Design of Experiments for Model Discrimination using an Interactive Software Tool

    In: PLOS ONE

Konferenz-Veröffentlichungen

  • 2026

    2026inproceedings

    Emil Mededovic, Fabian Gülhan, Rüveyda Yilmaz and Johannes Stegmaier

    Focus on the Fog: Leveraging Student Uncertainty for Guided Knowledge Distillation in Semantic Segmentation

    In: 2026 IEEE International Conference on Image Processing (ICIP)

  • 2026inproceedings

    Henning Konermann, Yuli Wu, Emil Mededovic, Volkmar Schulz, Peter Walter and Johannes Stegmaier

    Training-Free Stimulus Encoding for Retinal Implants via Sparse Projected Gradient Descent

    In: 2026 IEEE International Conference on Image Processing (ICIP), S. 1--6, IEEE

  • 2026

    2026inproceedings

    Rüveyda Yilmaz, Yuli Wu, Johannes Stegmaier and Volkmar Schulz

    PET-Adapter: Test-Time Domain Adaptation for Full and Limited-Angle PET Image Reconstruction

    In: Medical Image Computing and Computer Assisted Intervention (MICCAI), S. 381--391

  • 2026

    2026inproceedings

    Fabian Gülhan, Emil Mededovic, Yuli Wu and Johannes Stegmaier

    SelfMOTR: Revisiting MOTR with Self-Generating Detection Priors

    In: European Conference on Computer Vision (ECCV), S. 213--231

  • 2026inproceedings

    Kostiantyn Lavronenko, Rueveyda Yilmaz, Zhu Chen, Johannes Stegmaier and Volkmar Schulz

    Atlas-Augmented Semantic Segmentation for Robust Ultra-Low-Field Pediatric Brain Imaging

    In: MICCAI Challenge on Low Field Pediatric Brain Magnetic Resonance Image Segmentation and Quality Assurance, Springer Nature Switzerland

  • 2026inproceedings

    Yuli Wu, Fucheng Liu, Rüveyda Yilmaz, Henning Konermann, Peter Walter and Johannes Stegmaier

    A Pragmatic Note on Evaluating Generative Models with Fréchet Inception Distance for Retinal Image Synthesis

    In: Proceedings of The 9th International Conference on Medical Imaging with Deep Learning 315, S. 2352--2368, PMLR

  • 2025

    2025inproceedings

    Rüveyda Yilmaz, Zhu Chen, Yuli Wu and Johannes Stegmaier

    CellStyle: Improved Zero-Shot Cell Segmentation via Style Transfer

    In: International Conference on Medical Image Computing and Computer-Assisted Intervention, S. 67--77

  • 2025

    2025inproceedings

    Rüveyda Yilmaz, Kaan Keven, Yuli Wu and Johannes Stegmaier

    Cascaded Diffusion Models for 2D and 3D Microscopy Image Synthesis to Enhance Cell Segmentation

    In: 2025 IEEE International Symposium on Biomedical Imaging (ISBI)

  • 2025

    2025inproceedings

    Friedhelm Hamann, Emil Mededovic, Fabian Gülhan, Yuli Wu, Johannes Stegmaier, Jing He, Yiqing Wang, Kexin Zhang, Lingling Li, Licheng Jiao, Mengru Ma, Honxiang Huang, Yuhao Yan, Hongwei Ren, Xiaopeng Lin, Yulong Huang, Bojun Cheng, Se Hyun Lee, Gyu Sung Ham, Kanghan Oh, Gi Hyun Lim, Boxuan Yang, Bowen Du and Guillermo Gallego

    SIS-Challenge: Event-based Spatio-temporal Instance Segmentation Challenge at the CVPR 2025 Event-based Vision Workshop

    In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, S. 4675--4683

  • 2025

    2025inproceedings

    Yang Zhang, Er Jin, Yanfei Dong, Yixuan Wu, Ashkan Khakzar, Philip Torr, Johannes Stegmaier and Kenji Kawaguchi

    Minimalist Concept Erasure in Generative Models

    In: Forty-second International Conference on Machine Learning (ICML)

  • 2025

    2025inproceedings

    Yang Zhang*, Er Jin*, Yanfei Dong, Ashkan Khakzar, Philip Torr, Johannes Stegmaier and Kenji Kawaguchi

    Effortless Efficiency: Low-Cost Pruning of Diffusion Models

    In: First Workshop on Scalable Optimization for Efficient and Adaptive Foundation Models

  • 2025

    2025inproceedings

    Yang Zhang*, Er Jin*, Yanfei Dong, Yixuan Wu, Ashkan Khakzar, Philip Torr, Johannes Stegmaier and Kenji Kawaguchi

    Minimalist Concept Erasure in Generative Models

    In: Forty-second International Conference on Machine Learning (ICML), PMLR

  • 2025inproceedings

    Yuli Wu, Henning Konermann, Emil Mededovic, Peter Walter and Johannes Stegmaier

    Evaluating Cross-Subject and Cross-Device Consistency in Visual Fixation Prediction

    In: 47th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

  • 2025

    2025inproceedings

    Emil Mededovic, Valdy Laurentius, Yuli Wu, Marcin Kopaczka, Zhu Chen, Mareike Schulz, René Tolba and Johannes Stegmaier

    No Free Lunch in Annotation either: An objective evaluation of Foundation models for Streamlining Annotation in Animal Tracking

    In: IEEE 22nd International Symposium on Biomedical Imaging (ISBI)

  • 2025inproceedings

    Yuli Wu, Do Dinh Tan Nguyen, Henning Konermann, Rüveyda Yilmaz, Peter Walter and Johannes Stegmaier

    Visual Fixation-Based Retinal Prosthetic Simulation

    In: IEEE 22nd International Symposium on Biomedical Imaging (ISBI)

  • 2025inproceedings

    Er Jin, Qihui Feng, Yongli Mou, Gerhard Lakemeyer, Stefan Decker, Oliver Simons and Johannes Stegmaier

    LogicAD: Explainable Anomaly Detection via VLM-based Text Feature Extraction

    In: The 39th Annual AAAI Conference on Artificial Intelligence, MIT Press

  • 2025inproceedings

    Henning Konermann, Yuli Wu, Peter Walter and Johannes Stegmaier

    Beyond downsampling: semantic preservation in retinal implant stimuli

    In: Artificial Vision – The International Symposium on Visual Prosthetics, German Medical Science GMS Publishing House

  • 2024

    2024inproceedings

    Ruveyda Yilmaz, Dennis Eschweiler and Johannes Stegmaier

    Annotated Biomedical Video Generation Using Denoising Diffusion Probabilistic Models and Flow Fields

    In: Simulation and Synthesis in Medical Imaging

  • 2024inproceedings

    Yang* Zhang, Er* Jin, Yanfei Dong, Ashkan Khakzar, Philip Torr, Johannes Stegmaier and Kenji Kawaguchi

    Effortless Efficiency: Low-Cost Pruning of Diffusion Models

    In: arXiv preprint arXiv:2412.02852

  • 2024inproceedings

    Yuli Wu, Weidong He, Dennis Eschweiler, Ningxin Dou, Zixin Fan, Shengli Mi, Peter Walter and Johannes Stegmaier

    Retinal OCT Synthesis with Denoising Diffusion Probabilistic Models for Layer Segmentation

    In: IEEE 21st International Symposium on Biomedical Imaging (ISBI)

  • 2023inproceedings

    F. Khader, J. N. Kather, T. Han, S. Nebelung, C. Kuhl, J. Stegmaier and D. Truhn

    Cascaded Cross-Attention Networks for Data-Efficient Whole-Slide Image Classification Using Transformers

    In: Machine Learning in Medical Imaging Workshop at MICCAI 2023 (accepted paper)

  • 2023inproceedings

    F. Khader, G. Müller-Franzes, S. T. Arasteh, T. Han, J. N. Kather, J. Stegmaier, S. Nebelung and D. Truhn

    Vector-Quantized Latent Flows for Medical Image Synthesis and Out-Of-Distribution Detection

    In: IEEE 20th International Symposium on Biomedical Imaging (ISBI), S. 1--5

  • 2023inproceedings

    F. Khader, J. Stegmaier, S. Nebelung and D. Truhn

    Multi-View Abnormality Detection in Clinical Knee MRI Studies Using Transformers

    In: IEEE 20th International Symposium on Biomedical Imaging (ISBI), S. 1--4

  • 2023inproceedings

    A. Jose, R. Roy and J. Stegmaier

    Weakly-Supervised Temporal Segmentation of Cell-Cycle Stages with Center-Cell Focus using Recurrent Neural Networks

    In: BVM Workshop, S. 212--219

  • 2023inproceedings

    Zhu Chen, Ina Laube and Johannes Stegmaier

    Unsupervised Learning for Feature Extraction and Temporal Alignment of 3D+t Point Clouds of Zebrafish Embryos

    In: International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), S. (accepted)

  • 2023inproceedings

    Long Chen, Yuli Wu, Johannes Stegmaier and Dorit Merhof

    SortedAP: Rethinking Evaluation Metrics for Instance Segmentation

    In: ICCV Workshop on BioImage Computing

  • 2023inproceedings

    Abin Jose, Rijo Roy, Dennis Eschweiler, Ina Laube, Reza Azad, Daniel Moreno-Andres and Johannes Stegmaier

    End-to-end classification of cell-cycle stages with center-cell focus tracker using recurrent neural networks

    In: International Conference on Acoustics, Speech and Signal Processing (ICASSP), S. 1--5

  • 2023inproceedings

    Yuli Wu, Ivan Karetic, Johannes Stegmaier, Peter Walter and Dorit Merhof

    A Deep Learning-based in silico Framework for Optimization on Retinal Prosthetic Stimulation

    In: 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), IEEE

  • 2022inproceedings

    Abin Jose, Qi Mei, Dennis Eschweiler, Ina Laube and Johannes Stegmaier

    Linear Discriminant Analysis Metric Learning Using Siamese Neural Networks

    In: International Conference on Image Processing (ICIP), S. 3641--3645

  • 2022inproceedings

    Dennis Eschweiler, Justus Schock and Johannes Stegmaier

    Probabilistic Image Diversification to Improve Segmentation in 3D Microscopy Image Data

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

  • 2022inproceedings

    Dennis Eschweiler, Richard S. Smith and Johannes Stegmaier

    Robust 3D Cell Segmentation: Extending the View of Cellpose

    In: IEEE International Conference in Image Processing (ICIP)

  • 2021inproceedings

    C. Yang, D. Eschweiler and J. Stegmaier

    Semi-and Self-Supervised Multi-View Fusion of 3D Microscopy Images using Generative Adversarial Networks

    In: MICCAI Workshop on Machine Learning for Medical Image Reconstruction (MLMIR), S. (in press)

  • 2021inproceedings

    Dennis Eschweiler, Malte Rethwisch, Simon Koppers and Johannes Stegmaier

    Spherical Harmonics for Shape-Constrained 3D Cell Segmentation

    In: IEEE International Symposium on Biomedical Imaging (ISBI)

  • 2021inproceedings

    D. Eschweiler, A. Bhattacharyya, D. Moreno-Andrés, W. Antonin D. Bähr and J. Stegmaier

    CellCycleGAN: Spatiotemporal Microscopy Image Synthesis of Cell Populations using Statistical Shape Models and Conditional GANs

    In: IEEE International Symposium on Biomedical Imaging (ISBI)

  • 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

    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

  • 2019inproceedings

    Dennis Eschweiler, Tim Klose, Florian Nicolas Müller-Fouarge, Marcin Kopaczka and 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), S. 81--89, Springer

  • 2019inproceedings

    Thiago V. Spina, Rohan C. Choudhury, Elliot Meyerowitz, Alexandre Cunha, Johannes Stegmaier Dennis Eschweiler

    CNN-based Preprocessing to Optimize Watershed-based Cell Segmentation in 3D Confocal Microscopy Images

    In: IEEE International Symposium on Biomedical Imaging (ISBI)

  • 2019inproceedings

    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), S. (accepted)

  • 2018inproceedings

    T. Scherr, A. Bartschat, M. Reischl, J. Stegmaier and R. Mikut

    Best Practices in Deep Learning-Based Segmentation of Microscopy Images

    In: Proceedings 28. Workshop Computational Intelligence, S. 175--195, KIT Scientific Publishing

  • 2018inproceedings

    T. V. Spina, J. Stegmaier, A. Falcao, E. Meyerowitz and A. Cunha

    SEGMENT3D: A Web-based Application for Collaborative Segmentation of 3D Images used in the Shoot Apical Meristem

    In: IEEE International Symposium on Biomedical Imaging (ISBI), Washington D.C., USA, S. 391-395

  • 2018inproceedings

    J. Stegmaier, T. V. Spina, A. Falcao, A. Bartschat, R. Mikut, E. Meyerowitz and A. Cunha

    Cell Segmentation in 3D Microscopy Images using Supervoxel Merge-Forests with CNN-based Hypothesis Selection

    In: IEEE International Symposium on Biomedical Imaging (ISBI), Washington D.C., USA, S. 382-386

  • 2018inproceedings

    A. Bartschat, T. Unger, T. Scherr, J. Stegmaier, M. Reischl and R. Mikut

    Robustness of Deep Learning Architectures with Respect to Training Data Variation

    In: Proceedings 28. Workshop Computational Intelligence, S. 129--138, KIT Scientific Publishing

  • 2017

    2017

    A. Bartschat, J. Stegmaier, S. Allgeier, K. M. Reichert, S. Bohn, O. Stachs, B. Köhler, R. Mikut

    Augmentations of the Bag of Visual Words Approach for Real-Time Fuzzy and Partial Image Classification

    In: Proc., 27. Workshop Computational Intelligence, Dortmund, Germany

  • 2016

    2016

    A. Bartschat, L. Toso, J. Stegmaier, A. Kuijper, R. Mikut, B. Köhler, S. Allgeier

    Automatic Corneal Tissue Classification Using Bag-of-Visual-Words Approaches

    In: Forum Bildverarbeitung, Karlsruhe, Germany

  • 2016

    2016

    J. Stegmaier, N. Peter, J. Portl, I. Mang, H. Leitte, R. Mikut, M. Reischl

    A Framework for Feedback-based Segmentation of 3D Image Stacks

    In: Current Directions in Biomedical Engineering

  • 2016

    2016

    J. Stegmaier, J. Arz, B. Schott, J. C. Otte, A. Kobitski, G. U. Nienhaus, U. Strähle, P. Sanders, R. Mikut

    Generating Semi-Synthetic Validation Benchmarks for Embryomics

    In: IEEE International Symposium on Biomedical Imaging (ISBI)

  • 2016

    2016

    B. Schott, J. Stegmaier, A. Arbaud, M. Reischl, R. Mikut, F. Lévi

    Robust Individual Circadian Parameter Estimation for Biosignal-based Personalization of Cancer Chronotherapy

    In: Proc., Workshop Biosignal Processing, Berlin

  • 2015

    2015

    B. Schott, J. Stegmaier, M. Takamiya, R. Mikut

    Challenges of Integrating A Priori Information Efficiently in the Discovery of Spatio-Temporal Objects in Large Databases

    In: Proc., 25. Workshop Computational Intelligence, Dortmund

  • 2015

    2015

    J. Portl, J. Stegmaier, I. V. Mang, M. Reischl, R. Schröder, H. Leitte

    Visualization for Error-controlled Surface Reconstruction from Large Electron Microscopy Image Stacks

    In: IEEE Vis, Chicago

  • 2012

    2012

    J. Stegmaier, A. Khan, M. Reischl, R. Mikut

    Challenges of Uncertainty Propagation in Image Analysis

    In: Proc., 22. Workshop Computational Intelligence, Dortmund

  • 2012

    2012

    J. Stegmaier, R. Alshut, M. Reischl, R. Mikut

    Information Fusion of Image Analysis, Video Object Tracking, and Data Mining of Biological Images using the Open Source MATLAB Toolbox Gait-CAD

    In: Biomedizinische Technik

Konferenz-Abstracts

  • T. Scherr, B. Schott, M. Traub, M. Takamiya, A. Bartschat, A. Kobitski, G. U. Nienhaus, U. Strähle, R. Mikut, J. Stegmaier

    Deep Learning Approaches to Improve Cell Segmentation and Tracking Accuracy for Interactive Knowledge Discovery in Zebrafish Embryos

    In: Zebrafish Models for Human Eye Diseases, Freiburg, Germany

  • T. Scherr, B. Schott, M. Traub, M. Takamiya, A. Bartschat, A. Kobitski, G. U. Nienhaus, U. Strähle, J. Stegmaier, R. Mikut

    Interactive Cell Tracking Analysis of Light-Sheet Microscopy Data in Zebrafish Embryos using EmbryoMiner

    In: 10th Anniversary Light-Sheet Fluorescence Microscopy Conference, Dresden, Germany

  • R. Peravali, D. Marcato, J. Stegmaier, C. Pylatiuk, J. Dallman, R. Mikut, U. Strähle

    Automated and High-Throughput Screening Platforms for Assessing Early Zebrafish Behavior

    In: 5th European Zebrafish Principal Investigator Meeting, Trento, Italy

  • B. Schott, M. Traub, T. Antritter, C. Schlagenhauf, A. Barschat, M. Takamiya, J. C. Otte, A. Kobitski, G. U. Nienhaus, P. Sanders, U. Strähle, R. Mikut, J. Stegmaier

    Interactive Knowledge Discovery in Large-Scale 3D+T Cell Tracking Data

    In: EMBL Symposium 'Seeing is Believing – Imaging the Processes of Life', Heidelberg, Germany

  • B. Schott, M. Traub, T. Antritter, C. Schlagenhauf, A. Barschat, M. Takamiya, J. C. Otte, A. Kobitski, G. U. Nienhaus, P. Sanders, U. Strähle, R. Mikut, J. Stegmaier

    A New Framework for Interactive Knowledge-Discovery in Large-Scale Trajectory Data of Zebrafish Embryos

    In: 10th European Zebrafish Meeting, Budapest, Hungary

  • R. Peravali, D. Marcato, J. Stegmaier, R. Geisler, C. Pylatiuk, M. Reischl, J. v. Wezel, R. Mikut, J. Dallman, U. Strähle

    High-Throughput Screening and Analysis of Startle Response Behavior in Zebrafish

    In: 10th European Zebrafish Meeting, Budapest, Hungary

  • S. Rubin, T. Stern, J. Stegmaier, E. Zelzer

    A Novel Method For Studying 3D Cellular Architecture in the Growth Plate

    In: Cartilage Biology & Pathology, Lucca, Italy

  • R. Peravali, A. Popova, D. Marcato, E. Gursky, J. Stegmaier, R. Alshut, H. Breitwieser, R. Geisler, C. Pylatiuk, J. v. Wezel, P. Levkin, R. Mikut, U. Strähle

    Automated Approaches to Sample Handling and High-Throughput Behavioral Screening of Zebrafish

    In: Zebrafish Genetics, Orlando, USA

  • D. Marcato, E. Gursky, J. Stegmaier, R. Alshut, M. Shahid, H. Breitwieser, R. Geisler, C. Pylatiuk, J. v. Wezel, R. Mikut, U. Strähle, R. Peravali

    Automated and High-Throughput Zebrafish Embryonic Behavioral Screening Platforms

    In: Measuring Behavior, Dublin, Ireland

  • J. Stegmaier, R. Mikut

    Exploiting Biological Prior Knowledge and Uncertainty for Large-Scale Image Analysis

    In: EMBL Symposium 'Seeing is Believing – Imaging the Processes of Life', Heidelberg, Germany

  • J. Stegmaier, R. Mikut

    Enhancing Image Analysis Pipelines with Uncertainty Treatment

    In: IEEE International Symposium on Biomedical Imaging, New York City, USA

  • J. Stegmaier, F. Amat, M. Takamiya, A. Bartschat, J. C. Otte, A. Kobitski, W. C. Lemon, K. McDole, Y. Wan, G. U. Nienhaus, U. Strähle, P. J. Keller, R. Mikut

    Efficient Extraction of Cell Shapes and Nuclei from 3D Light-sheet Microscopy Images

    In: BioImage Informatics, Leuven, Belgium

  • J. Stegmaier, J. C. Otte, A. Kobitski, G. U. Nienhaus, U. Strähle, R. Mikut

    Embedding Biological Prior Knowledge into Efficient Processing Operators for Terabyte-Scale Image Analysis

    In: EMBL Symposium 'Seeing is Believing – Imaging the Processes of Life', Heidelberg, Germany

  • J. Stegmaier, R. Alshut, M. Reischl, R. Mikut

    Methods for Automated Analysis of Zebrafish-related Experiments to Keep Pace with Modern High-Throughput Acquisition Technology

    In: COST Workshop – Automation Methods for Zebrafish Research, Leiden, Netherlands

 

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