Axel Saalbach - RankMe

47 papers B 8C 1Journal 16Unranked 21

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Bottom-Up Instance Segmentation of Catheters for Chest X-Rays. CoRR Francesca Boccardi, Axel Saalbach, Heinrich Schulz, Samuele Salti, Ilyas Sirazitdinov
2023	B	`conf`	Estimation of incomplete organ-coverage using 3D fully convolutional networks. Image Processing Hrishikesh Deshpande, Axel Saalbach, Tim Harder, Edna Coetser, Shlomo Gotman, Thomas Bülow, Christian Wülker
2022	—	`conf`	Bi-directional Encoding for Explicit Centerline Segmentation by Fully-Convolutional Networks. MICCAI (4) Ilyas Sirazitdinov, Axel Saalbach, Heinrich Schulz, Dmitry V. Dylov
2022	J	`jnl`	Defending against Reconstruction Attacks through Differentially Private Federated Learning for Classification of Heterogeneous Chest X-Ray Data. CoRR Joceline Ziegler, Bjarne Pfitzner, Heinrich Schulz, Axel Saalbach, Bert Arnrich
2022	J	`jnl`	Defending against Reconstruction Attacks through Differentially Private Federated Learning for Classification of Heterogeneous Chest X-ray Data. Sensors Joceline Ziegler, Bjarne Pfitzner, Heinrich Schulz, Axel Saalbach, Bert Arnrich
2022	J	`jnl`	Tubular shape aware data generation for segmentation in medical imaging. Int. J. Comput. Assist. Radiol. Surg. Ilyas Sirazitdinov, Heinrich Schulz, Axel Saalbach, Steffen Renisch, Dmitry V. Dylov
2021	B	`conf`	Deep learning for the detection of landmarks in head CT images and automatic quality assessment. Image Processing Hrishikesh Deshpande, Axel Saalbach, Tim Harder, Stewart Young, Thomas Bülow
2021	—	`conf`	Landmark Constellation Models For Central Venous Catheter Malposition Detection. ISBI Ilyas Sirazitdinov, Matthias Lenga, Ivo M. Baltruschat, Dmitry V. Dylov, Axel Saalbach
2020	—	`conf`	Continual Learning for Domain Adaptation in Chest X-ray Classification. MIDL Matthias Lenga, Heinrich Schulz, Axel Saalbach
2020	J	`jnl`	Continual Learning for Domain Adaptation in Chest X-ray Classification. CoRR Matthias Lenga, Heinrich Schulz, Axel Saalbach
2020	—	`conf`	Deep Learning Based Segmentation of Body Parts in CT Localizers and Application to Scan Planning. ISBI Hrishikesh Deshpande, Martin Bergtholdt, Shlomo Gotman, Axel Saalbach, Julien Sénégas
2020	—	`conf`	Detection Of Foreign Objects In Chest Radiographs Using Deep Learning. ISBI Workshops Hrishikesh Deshpande, Tim Harder, Axel Saalbach, Abhivyakti Sawarkar, Thomas Bülow
2020	J	`jnl`	Intelligent Chest X-ray Worklist Prioritization by CNNs: A Clinical Workflow Simulation. CoRR Ivo M. Baltruschat, Leonhard Steinmeister, Hannes Nickisch, Axel Saalbach, Michael Grass, Gerhard Adam, Harald Ittrich, Tobias Knopp
2020	—	`conf`	Localization of Critical Findings in Chest X-Ray Without Local Annotations Using Multi-Instance Learning. ISBI Evan Schwab, André Gooßen, Hrishikesh Deshpande, Axel Saalbach
2020	J	`jnl`	Localization of Critical Findings in Chest X-Ray without Local Annotations Using Multi-Instance Learning. CoRR Evan Schwab, André Gooßen, Hrishikesh Deshpande, Axel Saalbach
2020	J	`jnl`	Tubular Shape Aware Data Generation for Semantic Segmentation in Medical Imaging. CoRR Ilyas Sirazitdinov, Heinrich Schulz, Axel Saalbach, Steffen Renisch, Dmitry V. Dylov
2019	—	`conf`	Abstract: Does Bone Suppression and Lung Detection Improve Chest Disease Classification? Bildverarbeitung für die Medizin Ivo M. Baltruschat, Leonhard Steinmeister, Harald Ittrich, Gerhard Adam, Hannes Nickisch, Axel Saalbach, Jens von Berg, Michael Grass, Tobias Knopp
2019	J	`jnl`	Deep Learning for Pneumothorax Detection and Localization in Chest Radiographs. CoRR André Gooßen, Hrishikesh Deshpande, Tim Harder, Evan Schwab, Ivo M. Baltruschat, Thusitha De Silva Mabotuwana, Nathan M. Cross, Axel Saalbach
2019	—	`conf`	When Does Bone Suppression And Lung Field Segmentation Improve Chest X-Ray Disease Classification? ISBI Ivo M. Baltruschat, Leonhard Steinmeister, Harald Ittrich, Gerhard Adam, Hannes Nickisch, Axel Saalbach, Jens von Berg, Michael Grass, Tobias Knopp
2018	J	`jnl`	Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray Classification. CoRR Ivo M. Baltruschat, Hannes Nickisch, Michael Grass, Tobias Knopp, Axel Saalbach
2018	—	`conf`	Evaluation of Collimation Prediction Based on Depth Images and Automated Landmark Detection for Routine Clinical Chest X-Ray Exams. MICCAI (2) Julien Sénégas, Axel Saalbach, Martin Bergtholdt, Sascha Jockel, Detlef Mentrup, Roman Fischbach
2018	B	`conf`	Foveal fully convolutional nets for multi-organ segmentation. Image Processing Tom Brosch, Axel Saalbach
2018	B	`conf`	Orientation regression in hand radiographs: a transfer learning approach. Image Processing Ivo M. Baltruschat, Axel Saalbach, Mattias P. Heinrich, Hannes Nickisch, Sascha Jockel
2018	J	`jnl`	When does Bone Suppression and Lung Field Segmentation Improve Chest X-Ray Disease Classification? CoRR Ivo M. Baltruschat, Leonhard Steinmeister, Harald Ittrich, Gerhard Adam, Hannes Nickisch, Axel Saalbach, Jens von Berg, Michael Grass, Tobias Knopp
2016	J	`jnl`	A novel bone suppression method that improves lung nodule detection. Int. J. Comput. Assist. Radiol. Surg. Jens von Berg, Stewart Young, Heike Carolus, Robin Wolz, Axel Saalbach, Alberto Hidalgo, Ana Giménez, Tomás Franquet
2016	—	`conf`	Decomposing the bony thorax in X-ray images. ISBI Jens von Berg, Claire Levrier, Heike Carolus, Stewart Young, Axel Saalbach, Patrick Laurent, Raoul Florent
2015	—	`conf`	Automated anatomy detection in CT localizer images. ISBI Axel Saalbach, Martin Bergtholdt, Thomas Netsch, Julien Sénégas
2015	J	`jnl`	Can Pretrained Neural Networks Detect Anatomy? CoRR Vlado Menkovski, Zharko Aleksovski, Axel Saalbach, Hannes Nickisch
2014	B	`conf`	Failure analysis for model-based organ segmentation using outlier detection. Image Processing Axel Saalbach, Irina Wächter-Stehle, Cristian Lorenz, Jürgen Weese
2012	—	`conf`	Automatic Multi-model-Based Segmentation of the Left Atrium in Cardiac MRI Scans. MICCAI (2) Dominik Kutra, Axel Saalbach, Helko Lehmann, Alexandra Groth, Sebastian P. M. Dries, Martin W. Krueger, Olaf Dössel, Jürgen Weese
2012	—	`conf`	Limited Angle C-Arm Tomography and Segmentation for Guidance of Atrial Fibrillation Ablation Procedures. MICCAI (1) Dirk Schäfer, Carsten Meyer, Roland Bullens, Axel Saalbach, Peter Eshuis
2011	—	`conf`	Optimizing GHT-Based Heart Localization in an Automatic Segmentation Chain. MICCAI (3) Axel Saalbach, Irina Wächter-Stehle, Reinhard Kneser, Sabine Mollus, Jochen Peters, Jürgen Weese
2010	—	`conf`	Filter learning and evaluation of the computer aided visualization and analysis (CAVA) paradigm for pulmonary nodules using the LIDC-IDRI database. Computer-Aided Diagnosis Rafael Wiemker, Ekta Dharaiya, Amnon Steinberg, Thomas Bülow, Axel Saalbach, Torbjørn Vik
2010	—	`conf`	Heterogeneity of kinetic curve parameters as indicator for the malignancy of breast lesions in DCE MRI. Computer-Aided Diagnosis Thomas Bülow, Axel Saalbach, Martin Bergtholdt, Rafael Wiemker, Hans Buurman, Lina Arbash Meinel, Gillian Newstead
2009	J	`jnl`	On the application of (topographic) independent and tree-dependent component analysis for the examination of DCE-MRI data. Biomed. Signal Process. Control. Axel Saalbach, Oliver Lange, Tim W. Nattkemper, Anke Meyer-Baese
2007	B	`conf`	Graphical Model-Based ICA Applied to the Analysis of fMRI and MRI Time Series. IJCNN Anke Meyer-Bäse, Axel Saalbach
2007	J	`jnl`	Unsupervised clustering of fMRI and MRI time series. Biomed. Signal Process. Control. Anke Meyer-Bäse, Axel Saalbach, Oliver Lange, Axel Wismüller
2006	—	`—`	Exploratory analysis of multivariate image data. Axel Saalbach
2005	—	`conf`	A Hyperbolic Topographic Mapping for Proximity Data. Artificial Intelligence and Applications Axel Saalbach, Thorsten Twellmann, Tim W. Nattkemper, Axel Wismüller, Jörg Ontrup, Helge J. Ritter
2005	—	`conf`	An Adaptive Extended Colour Scale for Comparison of Pseudo Colouring Techniques for DCE-MRI Data. Bildverarbeitung für die Medizin Thorsten Twellmann, Oliver Lichte, Axel Saalbach, Axel Wismüller, Tim W. Nattkemper
2005	J	`jnl`	Image fusion based on topographic mappings using the hyperbolic space. Inf. Vis. Axel Saalbach, Jörg Ontrup, Helge J. Ritter, Tim W. Nattkemper
2004	—	`conf`	Hand Gesture Recognition: Self-Organising Maps as a Graphical User Interface for the Partitioning of Large Training Data Sets. ICPR (4) Gunther Heidemann, Holger Bekel, Ingo Bax, Axel Saalbach
2004	B	`conf`	Multiscale entropy analysis in dynamic contrast-enhanced MRI. Image Processing Andreas Degenhard, Marc Mutz, Tim W. Nattkemper, Axel Saalbach, Thorsten Twellmann, Mark J. White, Michael Khazen, Linda Pointon, Martin O. Leach
2004	—	`conf`	Visualization of multivariate image data using image fusion and perceptually optimized color scales based on sRGB. Image-Guided Procedures Axel Saalbach, Thorsten Twellmann, Tim W. Nattkemper, Mark White, Michael Khazen, Martin O. Leach
2003	B	`conf`	Semi-automatic acquisition and labelling of image data using SOMs. ESANN Gunther Heidemann, Axel Saalbach, Helge J. Ritter
2002	C	`conf`	Parametrized SOMs for Object Recognition and Pose Estimation. ICANN Axel Saalbach, Gunther Heidemann, Helge J. Ritter
2002	—	`conf`	Representing Object Manifolds by Parametrized SOMs. ICPR (2) Axel Saalbach, Gunther Heidemann, Helge J. Ritter