Parametrized SOMs for Object Recognition and Pose Estimation. - Axel Saalbach; Gunther Heidemann; Helge J. Ritter (ICANN, 2002)

Representing Object Manifolds by Parametrized SOMs. - Axel Saalbach; Gunther Heidemann; Helge J. Ritter (ICPR (2), 2002)

Semi-automatic acquisition and labelling of image data using SOMs. - Gunther Heidemann; Axel Saalbach; Helge J. Ritter (ESANN, 2003)

Hand Gesture Recognition: Self-Organising Maps as a Graphical User Interface for the Partitioning of Large Training Data Sets. - Gunther Heidemann; Holger Bekel; Ingo Bax; Axel Saalbach (ICPR (4), 2004)

Visualization of multivariate image data using image fusion and perceptually optimized color scales based on sRGB. - Axel Saalbach; Thorsten Twellmann; Tim W. Nattkemper; Mark White 001; Michael Khazen; Martin O. Leach (Image-Guided Procedures, 2004)

Multiscale entropy analysis in dynamic contrast-enhanced MRI. - Andreas Degenhard; Marc Mutz; Tim W. Nattkemper; Axel Saalbach; Thorsten Twellmann; Mark J. White; Michael Khazen; Linda Pointon; Martin O. Leach (Image Processing, 2004)

A Hyperbolic Topographic Mapping for Proximity Data. - Axel Saalbach; Thorsten Twellmann; Tim W. Nattkemper; Axel Wismüller; Jörg Ontrup; Helge J. Ritter (Artificial Intelligence and Applications, 2005)

An Adaptive Extended Colour Scale for Comparison of Pseudo Colouring Techniques for DCE-MRI Data. - Thorsten Twellmann; Oliver Lichte; Axel Saalbach; Axel Wismüller; Tim W. Nattkemper (Bildverarbeitung für die Medizin, 2005)

Image fusion based on topographic mappings using the hyperbolic space. - Axel Saalbach; Jörg Ontrup; Helge J. Ritter; Tim W. Nattkemper (Inf. Vis., 2005)

Exploratory analysis of multivariate image data. - Axel Saalbach (2006)

Graphical Model-Based ICA Applied to the Analysis of fMRI and MRI Time Series. - Anke Meyer-Bäse; Axel Saalbach (IJCNN, 2007)

Unsupervised clustering of fMRI and MRI time series. - Anke Meyer-Bäse; Axel Saalbach; Oliver Lange; Axel Wismüller (Biomed. Signal Process. Control., 2007)

On the application of (topographic) independent and tree-dependent component analysis for the examination of DCE-MRI data. - Axel Saalbach; Oliver Lange; Tim W. Nattkemper; Anke Meyer-Baese (Biomed. Signal Process. Control., 2009)

Heterogeneity of kinetic curve parameters as indicator for the malignancy of breast lesions in DCE MRI. - Thomas Bülow; Axel Saalbach; Martin Bergtholdt; Rafael Wiemker; Hans Buurman; Lina Arbash Meinel; Gillian Newstead (Computer-Aided Diagnosis, 2010)

Filter learning and evaluation of the computer aided visualization and analysis (CAVA) paradigm for pulmonary nodules using the LIDC-IDRI database. - Rafael Wiemker; Ekta Dharaiya; Amnon Steinberg; Thomas Bülow; Axel Saalbach; Torbjørn Vik (Computer-Aided Diagnosis, 2010)

Optimizing GHT-Based Heart Localization in an Automatic Segmentation Chain. - Axel Saalbach; Irina Wächter-Stehle; Reinhard Kneser; Sabine Mollus; Jochen Peters; Jürgen Weese (MICCAI (3), 2011)

Automatic Multi-model-Based Segmentation of the Left Atrium in Cardiac MRI Scans. - Dominik Kutra; Axel Saalbach; Helko Lehmann; Alexandra Groth; Sebastian P. M. Dries; Martin W. Krueger; Olaf Dössel; Jürgen Weese (MICCAI (2), 2012)

Limited Angle C-Arm Tomography and Segmentation for Guidance of Atrial Fibrillation Ablation Procedures. - Dirk Schäfer 001; Carsten Meyer; Roland Bullens; Axel Saalbach; Peter Eshuis (MICCAI (1), 2012)

Failure analysis for model-based organ segmentation using outlier detection. - Axel Saalbach; Irina Wächter-Stehle; Cristian Lorenz; Jürgen Weese (Image Processing, 2014)

Automated anatomy detection in CT localizer images. - Axel Saalbach; Martin Bergtholdt; Thomas Netsch; Julien Sénégas (ISBI, 2015)

Can Pretrained Neural Networks Detect Anatomy? - Vlado Menkovski; Zharko Aleksovski; Axel Saalbach; Hannes Nickisch (CoRR, 2015)

Decomposing the bony thorax in X-ray images. - Jens von Berg; Claire Levrier; Heike Carolus; Stewart Young; Axel Saalbach; Patrick Laurent; Raoul Florent (ISBI, 2016)

A novel bone suppression method that improves lung nodule detection. - Jens von Berg; Stewart Young; Heike Carolus; Robin Wolz; Axel Saalbach; Alberto Hidalgo; Ana Giménez; Tomás Franquet (Int. J. Comput. Assist. Radiol. Surg., 2016)

Evaluation of Collimation Prediction Based on Depth Images and Automated Landmark Detection for Routine Clinical Chest X-Ray Exams. - Julien Sénégas; Axel Saalbach; Martin Bergtholdt; Sascha Jockel; Detlef Mentrup; Roman Fischbach (MICCAI (2), 2018)

Orientation regression in hand radiographs: a transfer learning approach. - Ivo M. Baltruschat; Axel Saalbach; Mattias P. Heinrich; Hannes Nickisch; Sascha Jockel (Image Processing, 2018)

Foveal fully convolutional nets for multi-organ segmentation. - Tom Brosch; Axel Saalbach (Image Processing, 2018)

Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray Classification. - Ivo M. Baltruschat; Hannes Nickisch; Michael Grass 001; Tobias Knopp 001; Axel Saalbach (CoRR, 2018)

Abstract: Does Bone Suppression and Lung Detection Improve Chest Disease Classification? - Ivo M. Baltruschat; Leonhard Steinmeister; Harald Ittrich; Gerhard Adam; Hannes Nickisch; Axel Saalbach; Jens von Berg; Michael Grass 001; Tobias Knopp 001 (Bildverarbeitung für die Medizin, 2019)

When Does Bone Suppression And Lung Field Segmentation Improve Chest X-Ray Disease Classification? - Ivo M. Baltruschat; Leonhard Steinmeister; Harald Ittrich; Gerhard Adam; Hannes Nickisch; Axel Saalbach; Jens von Berg; Michael Grass 001; Tobias Knopp 001 (ISBI, 2019)

Deep Learning for Pneumothorax Detection and Localization in Chest Radiographs. - André Gooßen; Hrishikesh Deshpande; Tim Harder; Evan Schwab; Ivo M. Baltruschat; Thusitha De Silva Mabotuwana; Nathan M. Cross; Axel Saalbach (CoRR, 2019)

Deep Learning Based Segmentation of Body Parts in CT Localizers and Application to Scan Planning. - Hrishikesh Deshpande; Martin Bergtholdt; Shlomo Gotman; Axel Saalbach; Julien Sénégas (ISBI, 2020)

Detection Of Foreign Objects In Chest Radiographs Using Deep Learning. - Hrishikesh Deshpande; Tim Harder; Axel Saalbach; Abhivyakti Sawarkar; Thomas Bülow (ISBI Workshops, 2020)

Localization of Critical Findings in Chest X-Ray Without Local Annotations Using Multi-Instance Learning. - Evan Schwab; André Gooßen; Hrishikesh Deshpande; Axel Saalbach (ISBI, 2020)

Continual Learning for Domain Adaptation in Chest X-ray Classification. - Matthias Lenga; Heinrich Schulz; Axel Saalbach (MIDL, 2020)

Intelligent Chest X-ray Worklist Prioritization by CNNs: A Clinical Workflow Simulation. - Ivo M. Baltruschat; Leonhard Steinmeister; Hannes Nickisch; Axel Saalbach; Michael Grass 001; Gerhard Adam; Harald Ittrich; Tobias Knopp 001 (CoRR, 2020)

Tubular Shape Aware Data Generation for Semantic Segmentation in Medical Imaging. - Ilyas Sirazitdinov; Heinrich Schulz; Axel Saalbach; Steffen Renisch; Dmitry V. Dylov (CoRR, 2020)

Landmark Constellation Models For Central Venous Catheter Malposition Detection. - Ilyas Sirazitdinov; Matthias Lenga; Ivo M. Baltruschat; Dmitry V. Dylov; Axel Saalbach (ISBI, 2021)

Deep learning for the detection of landmarks in head CT images and automatic quality assessment. - Hrishikesh Deshpande; Axel Saalbach; Tim Harder; Stewart Young; Thomas Bülow (Image Processing, 2021)

Bi-directional Encoding for Explicit Centerline Segmentation by Fully-Convolutional Networks. - Ilyas Sirazitdinov; Axel Saalbach; Heinrich Schulz; Dmitry V. Dylov (MICCAI (4), 2022)

Tubular shape aware data generation for segmentation in medical imaging. - Ilyas Sirazitdinov; Heinrich Schulz; Axel Saalbach; Steffen Renisch; Dmitry V. Dylov (Int. J. Comput. Assist. Radiol. Surg., 2022)

Defending against Reconstruction Attacks through Differentially Private Federated Learning for Classification of Heterogeneous Chest X-ray Data. - Joceline Ziegler; Bjarne Pfitzner; Heinrich Schulz; Axel Saalbach; Bert Arnrich (Sensors, 2022)

Estimation of incomplete organ-coverage using 3D fully convolutional networks. - Hrishikesh Deshpande; Axel Saalbach; Tim Harder; Edna Coetser; Shlomo Gotman; Thomas Bülow; Christian Wülker (Image Processing, 2023)

Bottom-Up Instance Segmentation of Catheters for Chest X-Rays. - Francesca Boccardi; Axel Saalbach; Heinrich Schulz; Samuele Salti; Ilyas Sirazitdinov (CoRR, 2023)