Axel Saalbach

ORCID

Publication Activity (10 Years)

Years Active: 2002-2023
Publications (10 Years): 26

Top Venues

CoRR

ISBI

Medical Imaging: Image Processing

Int. J. Comput. Assist. Radiol. Surg.

Bielefeld University (PHD)

Education History

Bielefeld University

PHD

Publications

Francesca Boccardi, Axel Saalbach, Heinrich Schulz, Samuele Salti, Ilyas Sirazitdinov
Bottom-Up Instance Segmentation of Catheters for Chest X-Rays. CoRR (2023)
Hrishikesh Deshpande, Axel Saalbach, Tim Harder, Edna Coetser, Shlomo Gotman, Thomas Bülow, Christian Wülker
Estimation of incomplete organ-coverage using 3D fully convolutional networks. Medical Imaging: Image Processing (2023)
Ilyas Sirazitdinov, Heinrich Schulz, Axel Saalbach, Steffen Renisch, Dmitry V. Dylov
Tubular shape aware data generation for segmentation in medical imaging. Int. J. Comput. Assist. Radiol. Surg. 17 (6) (2022)
Joceline Ziegler, Bjarne Pfitzner, Heinrich Schulz, Axel Saalbach, Bert Arnrich
Defending against Reconstruction Attacks through Differentially Private Federated Learning for Classification of Heterogeneous Chest X-Ray Data. CoRR (2022)
Ilyas Sirazitdinov, Axel Saalbach, Heinrich Schulz, Dmitry V. Dylov
Bi-directional Encoding for Explicit Centerline Segmentation by Fully-Convolutional Networks. MICCAI (4) (2022)
Joceline Ziegler, Bjarne Pfitzner, Heinrich Schulz, Axel Saalbach, Bert Arnrich
Defending against Reconstruction Attacks through Differentially Private Federated Learning for Classification of Heterogeneous Chest X-ray Data. Sensors 22 (14) (2022)
Hrishikesh Deshpande, Axel Saalbach, Tim Harder, Stewart Young, Thomas Bülow
Deep learning for the detection of landmarks in head CT images and automatic quality assessment. Medical Imaging: Image Processing (2021)
Ilyas Sirazitdinov, Matthias Lenga, Ivo M. Baltruschat, Dmitry V. Dylov, Axel Saalbach
Landmark Constellation Models For Central Venous Catheter Malposition Detection. ISBI (2021)
Evan Schwab, André Gooßen, Hrishikesh Deshpande, Axel Saalbach
Localization of Critical Findings in Chest X-Ray without Local Annotations Using Multi-Instance Learning. CoRR (2020)
Matthias Lenga, Heinrich Schulz, Axel Saalbach
Continual Learning for Domain Adaptation in Chest X-ray Classification. CoRR (2020)
Ilyas Sirazitdinov, Heinrich Schulz, Axel Saalbach, Steffen Renisch, Dmitry V. Dylov
Tubular Shape Aware Data Generation for Semantic Segmentation in Medical Imaging. CoRR (2020)
Matthias Lenga, Heinrich Schulz, Axel Saalbach
Continual Learning for Domain Adaptation in Chest X-ray Classification. MIDL (2020)
Hrishikesh Deshpande, Tim Harder, Axel Saalbach, Abhivyakti Sawarkar, Thomas Bülow
Detection Of Foreign Objects In Chest Radiographs Using Deep Learning. ISBI Workshops (2020)
Hrishikesh Deshpande, Martin Bergtholdt, Shlomo Gotman, Axel Saalbach, Julien Sénégas
Deep Learning Based Segmentation of Body Parts in CT Localizers and Application to Scan Planning. ISBI (2020)
Evan Schwab, André Gooßen, Hrishikesh Deshpande, Axel Saalbach
Localization of Critical Findings in Chest X-Ray Without Local Annotations Using Multi-Instance Learning. ISBI (2020)
Ivo M. Baltruschat, Leonhard Steinmeister, Hannes Nickisch, Axel Saalbach, Michael Grass, Gerhard Adam, Harald Ittrich, Tobias Knopp
Intelligent Chest X-ray Worklist Prioritization by CNNs: A Clinical Workflow Simulation. CoRR (2020)
Ivo M. Baltruschat, Leonhard Steinmeister, Harald Ittrich, Gerhard Adam, Hannes Nickisch, Axel Saalbach, Jens von Berg, Michael Grass, Tobias Knopp
When Does Bone Suppression And Lung Field Segmentation Improve Chest X-Ray Disease Classification? ISBI (2019)
Ivo M. Baltruschat, Leonhard Steinmeister, Harald Ittrich, Gerhard Adam, Hannes Nickisch, Axel Saalbach, Jens von Berg, Michael Grass, Tobias Knopp
Abstract: Does Bone Suppression and Lung Detection Improve Chest Disease Classification? Bildverarbeitung für die Medizin (2019)
André Gooßen, Hrishikesh Deshpande, Tim Harder, Evan Schwab, Ivo M. Baltruschat, Thusitha De Silva Mabotuwana, Nathan M. Cross, Axel Saalbach
Deep Learning for Pneumothorax Detection and Localization in Chest Radiographs. CoRR (2019)
Ivo M. Baltruschat, Hannes Nickisch, Michael Grass, Tobias Knopp, Axel Saalbach
Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray Classification. CoRR (2018)
Ivo M. Baltruschat, Axel Saalbach, Mattias P. Heinrich, Hannes Nickisch, Sascha Jockel
Orientation regression in hand radiographs: a transfer learning approach. Medical Imaging: Image Processing (2018)
Ivo M. Baltruschat, Leonhard Steinmeister, Harald Ittrich, Gerhard Adam, Hannes Nickisch, Axel Saalbach, Jens von Berg, Michael Grass, Tobias Knopp
When does Bone Suppression and Lung Field Segmentation Improve Chest X-Ray Disease Classification? CoRR (2018)
Tom Brosch, Axel Saalbach
Foveal fully convolutional nets for multi-organ segmentation. Medical Imaging: Image Processing (2018)
Julien Sénégas, Axel Saalbach, Martin Bergtholdt, Sascha Jockel, Detlef Mentrup, Roman Fischbach
Evaluation of Collimation Prediction Based on Depth Images and Automated Landmark Detection for Routine Clinical Chest X-Ray Exams. MICCAI (2) (2018)
Jens von Berg, Stewart Young, Heike Carolus, Robin Wolz, Axel Saalbach, Alberto Hidalgo, Ana Giménez, Tomás Franquet
A novel bone suppression method that improves lung nodule detection. Int. J. Comput. Assist. Radiol. Surg. 11 (4) (2016)
Jens von Berg, Claire Levrier, Heike Carolus, Stewart Young, Axel Saalbach, Patrick Laurent, Raoul Florent
Decomposing the bony thorax in X-ray images. ISBI (2016)
Axel Saalbach, Martin Bergtholdt, Thomas Netsch, Julien Sénégas
Automated anatomy detection in CT localizer images. ISBI (2015)
Vlado Menkovski, Zharko Aleksovski, Axel Saalbach, Hannes Nickisch
Can Pretrained Neural Networks Detect Anatomy? CoRR (2015)
Axel Saalbach, Irina Wächter-Stehle, Cristian Lorenz, Jürgen Weese
Failure analysis for model-based organ segmentation using outlier detection. Medical Imaging: Image Processing (2014)
Dirk Schäfer, Carsten Meyer, Roland Bullens, Axel Saalbach, Peter Eshuis
Limited Angle C-Arm Tomography and Segmentation for Guidance of Atrial Fibrillation Ablation Procedures. MICCAI (1) (2012)
Dominik Kutra, Axel Saalbach, Helko Lehmann, Alexandra Groth, Sebastian P. M. Dries, Martin W. Krueger, Olaf Dössel, Jürgen Weese
Automatic Multi-model-Based Segmentation of the Left Atrium in Cardiac MRI Scans. MICCAI (2) (2012)
Axel Saalbach, Irina Wächter-Stehle, Reinhard Kneser, Sabine Mollus, Jochen Peters, Jürgen Weese
Optimizing GHT-Based Heart Localization in an Automatic Segmentation Chain. MICCAI (3) (2011)
Rafael Wiemker, Ekta Dharaiya, Amnon Steinberg, Thomas Bülow, Axel Saalbach, Torbjørn Vik
Filter learning and evaluation of the computer aided visualization and analysis (CAVA) paradigm for pulmonary nodules using the LIDC-IDRI database. Medical Imaging: Computer-Aided Diagnosis (2010)
Thomas Bülow, Axel Saalbach, Martin Bergtholdt, Rafael Wiemker, Hans Buurman, Lina Arbash Meinel, Gillian Newstead
Heterogeneity of kinetic curve parameters as indicator for the malignancy of breast lesions in DCE MRI. Medical Imaging: Computer-Aided Diagnosis (2010)
Axel Saalbach, Oliver Lange, Tim W. Nattkemper, Anke Meyer-Baese
On the application of (topographic) independent and tree-dependent component analysis for the examination of DCE-MRI data. Biomed. Signal Process. Control. 4 (3) (2009)
Anke Meyer-Bäse, Axel Saalbach, Oliver Lange, Axel Wismüller
Unsupervised clustering of fMRI and MRI time series. Biomed. Signal Process. Control. 2 (4) (2007)
Anke Meyer-Bäse, Axel Saalbach
Graphical Model-Based ICA Applied to the Analysis of fMRI and MRI Time Series. IJCNN (2007)
Axel Saalbach, Thorsten Twellmann, Tim W. Nattkemper, Axel Wismüller, Jörg Ontrup, Helge J. Ritter
A Hyperbolic Topographic Mapping for Proximity Data. Artificial Intelligence and Applications (2005)
Thorsten Twellmann, Oliver Lichte, Axel Saalbach, Axel Wismüller, Tim W. Nattkemper
An Adaptive Extended Colour Scale for Comparison of Pseudo Colouring Techniques for DCE-MRI Data. Bildverarbeitung für die Medizin (2005)
Axel Saalbach, Jörg Ontrup, Helge J. Ritter, Tim W. Nattkemper
Image fusion based on topographic mappings using the hyperbolic space. Inf. Vis. 4 (3) (2005)
Andreas Degenhard, Marc Mutz, Tim W. Nattkemper, Axel Saalbach, Thorsten Twellmann, Mark J. White, Michael Khazen, Linda Pointon, Martin O. Leach
Multiscale entropy analysis in dynamic contrast-enhanced MRI. Medical Imaging: Image Processing (2004)
Gunther Heidemann, Holger Bekel, Ingo Bax, Axel Saalbach
Hand Gesture Recognition: Self-Organising Maps as a Graphical User Interface for the Partitioning of Large Training Data Sets. ICPR (4) (2004)
Axel Saalbach, Thorsten Twellmann, Tim W. Nattkemper, Mark White, Michael Khazen, Martin O. Leach
Visualization of multivariate image data using image fusion and perceptually optimized color scales based on sRGB. Medical Imaging: Image-Guided Procedures (2004)
Gunther Heidemann, Axel Saalbach, Helge J. Ritter
Semi-automatic acquisition and labelling of image data using SOMs. ESANN (2003)
Axel Saalbach, Gunther Heidemann, Helge J. Ritter
Representing Object Manifolds by Parametrized SOMs. ICPR (2) (2002)
Axel Saalbach, Gunther Heidemann, Helge J. Ritter
Parametrized SOMs for Object Recognition and Pose Estimation. ICANN (2002)

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Publication Activity (10 Years)

Top Topics

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Axel Saalbach