Thomas Wollmann

Orcid: 0000-0002-4741-3844

According to our database1, Thomas Wollmann authored at least 24 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Galaxy Training: A powerful framework for teaching!
PLoS Comput. Biol., January, 2023

2021
Deep Consensus Network: Aggregating predictions to improve object detection in microscopy images.
Medical Image Anal., 2021

Data fusion and smoothing for probabilistic tracking of viral structures in fluorescence microscopy images.
Medical Image Anal., 2021

MEAL: Manifold Embedding-based Active Learning.
CoRR, 2021

DAAIN: Detection of Anomalous and Adversarial Input using Normalizing Flows.
CoRR, 2021

MEAL: Manifold Embedding-based Active Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Chameleon: A Semi-AutoML framework targeting quick and scalable development and deployment of production-ready ML systems for SMEs.
Proceedings of the 51. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2021 - Computer Science & Sustainability, Berlin, Germany, 27. September, 2021

2020
Deep Learning Particle Detection for Probabilistic Tracking in Fluorescence Microscopy Images.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
GRUU-Net: Integrated convolutional and gated recurrent neural network for cell segmentation.
Medical Image Anal., 2019

Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge.
Medical Image Anal., 2019

Hyperparameter optimization for image analysis: application to prostate tissue images and live cell data of virus-infected cells.
Int. J. Comput. Assist. Radiol. Surg., 2019

Detnet: Deep Neural Network For Particle Detection In Fluorescence Microscopy Images.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Black-Box Hyperparameter Optimization for Nuclei Segmentation in Prostate Tissue Images.
Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019

2018
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge.
CoRR, 2018

Deep Particle Tracker: Automatic Tracking of Particles in Fluorescence Microscopy Images Using Deep Learning.
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018

Adversarial domain adaptation to improve automatic breast cancer grading in lymph nodes.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Comparison of segmentation methods for tissue microscopy images of glioblastoma cells.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Multi-channel Deep Transfer Learning for Nuclei Segmentation in Glioblastoma Cell Tissue Images.
Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018

2017
Automatic breast cancer grading in lymph nodes using a deep neural network.
CoRR, 2017

Deep residual Hough voting for mitotic cell detection in histopathology images.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Automatic Grading of Breast Cancer Whole-Slide Histopathology Images.
Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017

2016
User-Centred Design and Usability Evaluation of a Heart Rate Variability Biofeedback Game.
IEEE Access, 2016

2015
Formative Evaluation of Smartwatch Exergaming.
Proceedings of the Mensch und Computer 2015, 2015

2014
Erfolgreiches Lernen durch gamifiziertes E-Learning.
Proceedings of the 44. Jahrestagung der Gesellschaft für Informatik, Big Data, 2014


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