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2020 – today
- 2024
[j8]Alexander Broll
, Martin Rosentritt, Thomas Schlegl, Markus Goldhacker:
A data-driven approach for the partial reconstruction of individual human molar teeth using generative deep learning. Frontiers Artif. Intell. 7 (2024)- 2023
- [b1]Thomas Schlegl:
A scalable machine learning system for anomaly detection in manufacturing. Technical University of Dortmund, Germany, 2023 - [j7]Michael Niederleithner, Luis de Sisternes, Heiko Stino, Aleksandra Sedova, Thomas Schlegl, Homayoun Bagherinia, Anja Britten, Philipp Matten, Ursula Schmidt-Erfurth, Andreas Pollreisz, Wolfgang Drexler, Rainer A. Leitgeb, Tilman Schmoll:
Ultra-Widefield OCT Angiography. IEEE Trans. Medical Imaging 42(4): 1009-1020 (2023) - [c35]Philipp Matten, Julius Scherer, Thomas Schlegl, Jonas Nienhaus, Heiko Stino, Andreas Pollreisz, Wolfgang Drexler, Rainer A. Leitgeb, Tilman Schmoll:
Stable classification of diabetic structures from incorrectly labeled OCTA en face images using multi instance learning. Medical Imaging: Image Processing 2023 - [c34]Jonas Nienhaus, Philipp Matten, Anja Britten, Thomas Schlegl, Eva Höck, Alexander Freytag, Matt Everett, Nancy Hecker-Denschlag, Wolfgang Drexler, Rainer A. Leitgeb, Tilman Schmoll:
Self-supervised denoising using optimized blind-spot networks for real-time application in 4D-OCT. Medical Imaging: Image Processing 2023 - 2022
- [j6]Thomas Schlegl, Stefan Schlegl, Domenico Tomaselli, Nikolai West, Jochen Deuse:
Adaptive similarity search for the retrieval of rare events from large time series databases. Adv. Eng. Informatics 52: 101629 (2022) - [i6]Thomas Schlegl, Heiko Stino, Michael Niederleithner, Andreas Pollreisz, Ursula Schmidt-Erfurth, Wolfgang Drexler, Rainer A. Leitgeb, Tilman Schmoll:
Data-centric AI approach to improve optic nerve head segmentation and localization in OCT en face images. CoRR abs/2208.03868 (2022) - 2021
- [c33]Thomas Schlegl, Stefan Schlegl, Amélie Sciberras, Nikolai West, Jochen Deuse:
Margin-based Greedy Shapelet Search for Robust Time Series Classification of Imbalanced Data. IEEE BigData 2021: 5266-5274 - 2020
- [j5]Philipp Seeböck, José Ignacio Orlando, Thomas Schlegl, Sebastian M. Waldstein, Hrvoje Bogunovic, Sophie Klimscha, Georg Langs, Ursula Schmidt-Erfurth:
Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT. IEEE Trans. Medical Imaging 39(1): 87-98 (2020) - [j4]Philipp Seeböck, José Ignacio Orlando, Thomas Schlegl, Sebastian M. Waldstein, Hrvoje Bogunovic, Sophie Klimscha, Georg Langs, Ursula Schmidt-Erfurth:
Correction to "Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT". IEEE Trans. Medical Imaging 39(4): 1291 (2020) - [c32]Anna-Maria Lienhart, Diether Kramer, Stefanie Jauk, Markus Gugatschka, Werner Leodolter, Thomas Schlegl:
Multivariable Risk Prediction of Dysphagia in Hospitalized Patients Using Machine Learning. dHealth 2020: 31-38 - [c31]Johannes Höcherl, Andreas Adam, Thomas Schlegl, Britta Wrede:
Human-Robot Assembly: Methodical Design and Assessment of an Immersive Virtual Environment for Real-World Significance. ETFA 2020: 549-556 - [c30]Clemens Pohlt, Thomas Schlegl, Sven Wachsmuth:
Weakly-Supervised Learning for Multimodal Human Activity Recognition in Human-Robot Collaboration Scenarios. IROS 2020: 8381-8386
2010 – 2019
- 2019
- [j3]Thomas Schlegl, Philipp Seeböck, Sebastian M. Waldstein, Georg Langs, Ursula Schmidt-Erfurth:
f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks. Medical Image Anal. 54: 30-44 (2019) - [j2]Philipp Seeböck, Sebastian M. Waldstein, Sophie Klimscha, Hrvoje Bogunovic, Thomas Schlegl, Bianca S. Gerendas, Rene Donner, Ursula Schmidt-Erfurth, Georg Langs:
Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data. IEEE Trans. Medical Imaging 38(4): 1037-1047 (2019) - [c29]Clemens Pohlt, Thomas Schlegl, Sven Wachsmuth:
Human Work Activity Recognition for Working Cells in Industrial Production Contexts. SMC 2019: 4225-4230 - [i5]Philipp Seeböck, José Ignacio Orlando, Thomas Schlegl, Sebastian M. Waldstein, Hrvoje Bogunovic, Sophie Klimscha, Georg Langs, Ursula Schmidt-Erfurth:
Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT. CoRR abs/1905.12806 (2019) - 2018
- [c28]Roxane Licandro, Thomas Schlegl, Michael Reiter, Markus Diem, Michael N. Dworzak, Angela Schumich, Georg Langs, Martin Kampel:
WGAN Latent Space Embeddings for Blast Identification in Childhood Acute Myeloid Leukaemia. ICPR 2018: 3868-3873 - [c27]Clemens Pohlt, Franz Haubner, Jonas Lang, Sandra Rochholz, Thomas Schlegl, Sven Wachsmuth:
Effects on User Experience During Human-Robot Collaboration in Industrial Scenarios. SMC 2018: 837-842 - [i4]Thomas Schlegl, Hrvoje Bogunovic, Sophie Klimscha, Philipp Seeböck, Amir Sadeghipour, Bianca S. Gerendas, Sebastian M. Waldstein, Georg Langs, Ursula Schmidt-Erfurth:
Fully Automated Segmentation of Hyperreflective Foci in Optical Coherence Tomography Images. CoRR abs/1805.03278 (2018) - [i3]Philipp Seeböck, Sebastian M. Waldstein, Sophie Klimscha, Hrvoje Bogunovic, Thomas Schlegl, Bianca S. Gerendas, René Donner, Ursula Schmidt-Erfurth, Georg Langs:
Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data. CoRR abs/1810.13404 (2018) - 2017
- [c26]Roman Weiss, Benjamin Grossmann, Marion Leibold, Thomas Schlegl, Dirk Wollherr:
Modeling and nonlinear control of antagonistically actuating pneumatic artificial muscles. AIM 2017: 94-99 - [c25]Clemens Pohlt, Sebastian Hell, Thomas Schlegl, Sven Wachsmuth:
Impact of Spontaneous Human Inputs during Gesture based Interaction on a Real-World Manufacturing Scenario. HAI 2017: 347-351 - [c24]Johannes Höcherl, Britta Wrede, Thomas Schlegl:
Motion Analysis of Human-Human and Human-Robot Cooperation During Industrial Assembly Tasks. HAI 2017: 425-429 - [c23]Thomas Schlegl, Philipp Seeböck, Sebastian M. Waldstein, Ursula Schmidt-Erfurth, Georg Langs:
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery. IPMI 2017: 146-157 - [i2]Thomas Schlegl, Philipp Seeböck, Sebastian M. Waldstein, Ursula Schmidt-Erfurth, Georg Langs:
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery. CoRR abs/1703.05921 (2017) - 2016
- [c22]Jonas Lang, Thomas Schlegl:
Camera-Projector Calibration - Methods, Influencing Factors and Evaluation Using a Robot and Structured-Light 3D Reconstruction. ICIRA (2) 2016: 413-427 - [c21]Johannes Hofmanninger, Markus Krenn, Markus Holzer, Thomas Schlegl, Helmut Prosch, Georg Langs:
Unsupervised Identification of Clinically Relevant Clusters in Routine Imaging Data. MICCAI (1) 2016: 192-200 - [i1]Philipp Seeböck, Sebastian M. Waldstein, Sophie Klimscha, Bianca S. Gerendas, René Donner, Thomas Schlegl, Ursula Schmidt-Erfurth, Georg Langs:
Identifying and Categorizing Anomalies in Retinal Imaging Data. CoRR abs/1612.00686 (2016) - 2015
- [c20]Jonas Lang, Mark Becke, Thomas Schlegl:
A Systematic Approach for the Parameterisation of the Kernel-Based Hough Transform Using a Human-Generated Ground Truth. ICIRA (1) 2015: 473-486 - [c19]Mark Becke, Thomas Schlegl:
Least squares pose estimation of cylinder axes from multiple views using contour line features. IECON 2015: 1855-1861 - [c18]Sascha Niedersteiner, Clemens Pohlt, Thomas Schlegl:
Smart Workbench: A multimodal and bidirectional assistance system for industrial application. IECON 2015: 2938-2943 - [c17]Gregor Bauer, Benjamin Großmann, Thomas Schlegl, Hiroshi Kobayashi:
Modeling, identification and control of an antagonistically actuated joint for telerobotic systems. IECON 2015: 3696-3701 - [c16]Thomas Schlegl, Sebastian M. Waldstein, Wolf-Dieter Vogl, Ursula Schmidt-Erfurth, Georg Langs:
Predicting Semantic Descriptions from Medical Images with Convolutional Neural Networks. IPMI 2015: 437-448 - 2014
- [c15]Thomas Schlegl, Joachim Ofner, Georg Langs:
Unsupervised Pre-training Across Image Domains Improves Lung Tissue Classification. MCV 2014: 82-93 - [c14]Dimitrios Markonis, René Donner, Markus Holzer, Thomas Schlegl, Sebastian Dungs, Sascha Kriewel, Georg Langs, Henning Müller:
A Visual Information Retrieval System for Radiology Reports and the Medical Literature. MMM (2) 2014: 390-393 - 2013
- [j1]Thomas Schlegl, Markus Neumayer, Stephan Mühlbacher-Karrer, Hubert Zangl:
A Pretouch Sensing System for a Robot Grasper Using Magnetic and Capacitive Sensors. IEEE Trans. Instrum. Meas. 62(5): 1299-1307 (2013) - [c13]Christoph Glowa, Thomas Schlegl:
Ultrasound Based Object Detection for Human-Robot Collaboration. ICIRA (2) 2013: 84-95 - [c12]Thomas Schlegl, Torsten Kröger, Andre Gaschler, Oussama Khatib, Hubert Zangl:
Virtual whiskers - Highly responsive robot collision avoidance. IROS 2013: 5373-5379 - 2012
- [c11]Johannes Höcherl, Thomas Schlegl:
An Image Based Algorithm to Safely Locate Human Extremities for Human-Robot Collaboration. ICIRA (2) 2012: 164-175 - [c10]Mark Becke, Thomas Schlegl:
Derivation of Dynamic Equations of Serial Robot Manipulators with Coupled Ideal Joint Motion. ICIRA (3) 2012: 236-247 - 2011
- [c9]Mark Becke, Thomas Schlegl:
Toward an experimental method for evaluation of biomechanical joint behavior under high variable load conditions. ICRA 2011: 3370-3375
2000 – 2009
- 2003
- [c8]Thomas Schlegl:
Compensation of discrete contact state errors in multi-fingered manipulation. CIRA 2003: 706-711 - 2001
- [c7]Thomas Schlegl, Martin Buss, Toru Omata, Günther Schmidt:
Fast Dextrous Regrasping with Optimal Contact Forces and Contact Sensor-Based Impedance Control. ICRA 2001: 103-108 - [c6]Thomas Schlegl, Franz Strobl, Martin Buss:
Accurate discrete-continuous dynamical simulation of dextrous manipulation. IROS 2001: 120-125 - 2000
- [c5]Martin Buss, Thomas Schlegl:
A Discrete-Continuous Control Approach to Dextrous Manipulation. ICRA 2000: 276-281
1990 – 1999
- 1999
- [c4]Thomas Schlegl, Franz Freyberger, Steffen Haidacher, Friedrich Pfeiffer, Martin Buss, Günther Schmidt:
Compensation of discrete contact state errors in regrasping experiments with the TUM-hand. IROS 1999: 118-123 - [c3]Steffen Haidacher, Thomas Schlegl, Martin Buss:
Grasp evaluation based on unilateral force closure. IROS 1999: 424-429 - 1998
- [c2]Thomas Schlegl, Martin Buss:
Hybrid Closed-Loop Control of Robotic Hand Regrasping. ICRA 1998: 3026-3031 - 1997
- [c1]Martin Buss, Thomas Schlegl:
Multi-fingered regrasping using on-line grasping force optimization. ICRA 1997: 998-1003
Coauthor Index
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last updated on 2024-10-07 22:10 CEST by the dblp team
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