Thomas Schlegl

51 papers A* 5A 5B 7C 4Journal 14Unranked 15

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	PASO: A Multipurpose Porcine Anterior Segment Dataset Featuring Spectral and Reconstructed OCT Volume Scans and Surgical Instrument Segmentation Masks. OMIA@MICCAI Jonas Nienhaus, Rebekka Peter, Florian Kapeller, Katharina Dettelbacher, Ryan Sentosa, Eleonora Tagliabue, Hessam Roodaki, Wolfgang Drexler, Thomas Schlegl, Franziska Mathis-Ullrich, Tilman Schmoll, Rainer Leitgeb
2024	J	`jnl`	A data-driven approach for the partial reconstruction of individual human molar teeth using generative deep learning. Frontiers Artif. Intell. Alexander Broll, Martin Rosentritt, Thomas Schlegl, Markus Goldhacker
2023	—	`—`	A scalable machine learning system for anomaly detection in manufacturing. Thomas Schlegl
2023	B	`conf`	Self-supervised denoising using optimized blind-spot networks for real-time application in 4D-OCT. Image Processing Jonas Nienhaus, Philipp Matten, Anja Britten, Thomas Schlegl, Eva Höck, Alexander Freytag, Matt Everett, Nancy Hecker-Denschlag, Wolfgang Drexler, Rainer A. Leitgeb, Tilman Schmoll
2023	B	`conf`	Stable classification of diabetic structures from incorrectly labeled OCTA en face images using multi instance learning. Image Processing Philipp Matten, Julius Scherer, Thomas Schlegl, Jonas Nienhaus, Heiko Stino, Andreas Pollreisz, Wolfgang Drexler, Rainer A. Leitgeb, Tilman Schmoll
2023	J	`jnl`	Ultra-Widefield OCT Angiography. IEEE Trans. Medical Imaging 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
2022	J	`jnl`	Adaptive similarity search for the retrieval of rare events from large time series databases. Adv. Eng. Informatics Thomas Schlegl, Stefan Schlegl, Domenico Tomaselli, Nikolai West, Jochen Deuse
2022	J	`jnl`	Data-centric AI approach to improve optic nerve head segmentation and localization in OCT en face images. CoRR Thomas Schlegl, Heiko Stino, Michael Niederleithner, Andreas Pollreisz, Ursula Schmidt-Erfurth, Wolfgang Drexler, Rainer A. Leitgeb, Tilman Schmoll
2021	—	`conf`	Margin-based Greedy Shapelet Search for Robust Time Series Classification of Imbalanced Data. IEEE BigData Thomas Schlegl, Stefan Schlegl, Amélie Sciberras, Nikolai West, Jochen Deuse
2020	J	`jnl`	Correction to "Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT". IEEE Trans. Medical Imaging Philipp Seeböck, José Ignacio Orlando, Thomas Schlegl, Sebastian M. Waldstein, Hrvoje Bogunovic, Sophie Klimscha, Georg Langs, Ursula Schmidt-Erfurth
2020	J	`jnl`	Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT. IEEE Trans. Medical Imaging Philipp Seeböck, José Ignacio Orlando, Thomas Schlegl, Sebastian M. Waldstein, Hrvoje Bogunovic, Sophie Klimscha, Georg Langs, Ursula Schmidt-Erfurth
2020	C	`conf`	Human-Robot Assembly: Methodical Design and Assessment of an Immersive Virtual Environment for Real-World Significance. ETFA Johannes Höcherl, Andreas Adam, Thomas Schlegl, Britta Wrede
2020	—	`conf`	Multivariable Risk Prediction of Dysphagia in Hospitalized Patients Using Machine Learning. dHealth Anna-Maria Lienhart, Diether Kramer, Stefanie Jauk, Markus Gugatschka, Werner Leodolter, Thomas Schlegl
2020	A	`conf`	Weakly-Supervised Learning for Multimodal Human Activity Recognition in Human-Robot Collaboration Scenarios. IROS Clemens Pohlt, Thomas Schlegl, Sven Wachsmuth
2019	J	`jnl`	Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT. CoRR Philipp Seeböck, José Ignacio Orlando, Thomas Schlegl, Sebastian M. Waldstein, Hrvoje Bogunovic, Sophie Klimscha, Georg Langs, Ursula Schmidt-Erfurth
2019	B	`conf`	Human Work Activity Recognition for Working Cells in Industrial Production Contexts. SMC Clemens Pohlt, Thomas Schlegl, Sven Wachsmuth
2019	J	`jnl`	Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data. IEEE Trans. Medical Imaging Philipp Seeböck, Sebastian M. Waldstein, Sophie Klimscha, Hrvoje Bogunovic, Thomas Schlegl, Bianca S. Gerendas, Rene Donner, Ursula Schmidt-Erfurth, Georg Langs
2019	J	`jnl`	f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks. Medical Image Anal. Thomas Schlegl, Philipp Seeböck, Sebastian M. Waldstein, Georg Langs, Ursula Schmidt-Erfurth
2018	B	`conf`	Effects on User Experience During Human-Robot Collaboration in Industrial Scenarios. SMC Clemens Pohlt, Franz Haubner, Jonas Lang, Sandra Rochholz, Thomas Schlegl, Sven Wachsmuth
2018	J	`jnl`	Fully Automated Segmentation of Hyperreflective Foci in Optical Coherence Tomography Images. CoRR Thomas Schlegl, Hrvoje Bogunovic, Sophie Klimscha, Philipp Seeböck, Amir Sadeghipour, Bianca S. Gerendas, Sebastian M. Waldstein, Georg Langs, Ursula Schmidt-Erfurth
2018	J	`jnl`	Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data. CoRR Philipp Seeböck, Sebastian M. Waldstein, Sophie Klimscha, Hrvoje Bogunovic, Thomas Schlegl, Bianca S. Gerendas, René Donner, Ursula Schmidt-Erfurth, Georg Langs
2018	B	`conf`	WGAN Latent Space Embeddings for Blast Identification in Childhood Acute Myeloid Leukaemia. ICPR Roxane Licandro, Thomas Schlegl, Michael Reiter, Markus Diem, Michael N. Dworzak, Angela Schumich, Georg Langs, Martin Kampel
2017	B	`conf`	Impact of Spontaneous Human Inputs during Gesture based Interaction on a Real-World Manufacturing Scenario. HAI Clemens Pohlt, Sebastian Hell, Thomas Schlegl, Sven Wachsmuth
2017	—	`conf`	Modeling and nonlinear control of antagonistically actuating pneumatic artificial muscles. AIM Roman Weiss, Benjamin Grossmann, Marion Leibold, Thomas Schlegl, Dirk Wollherr
2017	B	`conf`	Motion Analysis of Human-Human and Human-Robot Cooperation During Industrial Assembly Tasks. HAI Johannes Höcherl, Britta Wrede, Thomas Schlegl
2017	—	`conf`	Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery. IPMI Thomas Schlegl, Philipp Seeböck, Sebastian M. Waldstein, Ursula Schmidt-Erfurth, Georg Langs
2017	J	`jnl`	Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery. CoRR Thomas Schlegl, Philipp Seeböck, Sebastian M. Waldstein, Ursula Schmidt-Erfurth, Georg Langs
2016	—	`conf`	Camera-Projector Calibration - Methods, Influencing Factors and Evaluation Using a Robot and Structured-Light 3D Reconstruction. ICIRA (2) Jonas Lang, Thomas Schlegl
2016	J	`jnl`	Identifying and Categorizing Anomalies in Retinal Imaging Data. CoRR Philipp Seeböck, Sebastian M. Waldstein, Sophie Klimscha, Bianca S. Gerendas, René Donner, Thomas Schlegl, Ursula Schmidt-Erfurth, Georg Langs
2016	—	`conf`	Unsupervised Identification of Clinically Relevant Clusters in Routine Imaging Data. MICCAI (1) Johannes Hofmanninger, Markus Krenn, Markus Holzer, Thomas Schlegl, Helmut Prosch, Georg Langs
2015	—	`conf`	A Systematic Approach for the Parameterisation of the Kernel-Based Hough Transform Using a Human-Generated Ground Truth. ICIRA (1) Jonas Lang, Mark Becke, Thomas Schlegl
2015	C	`conf`	Least squares pose estimation of cylinder axes from multiple views using contour line features. IECON Mark Becke, Thomas Schlegl
2015	C	`conf`	Modeling, identification and control of an antagonistically actuated joint for telerobotic systems. IECON Gregor Bauer, Benjamin Großmann, Thomas Schlegl, Hiroshi Kobayashi
2015	—	`conf`	Predicting Semantic Descriptions from Medical Images with Convolutional Neural Networks. IPMI Thomas Schlegl, Sebastian M. Waldstein, Wolf-Dieter Vogl, Ursula Schmidt-Erfurth, Georg Langs
2015	C	`conf`	Smart Workbench: A multimodal and bidirectional assistance system for industrial application. IECON Sascha Niedersteiner, Clemens Pohlt, Thomas Schlegl
2014	—	`conf`	A Visual Information Retrieval System for Radiology Reports and the Medical Literature. MMM (2) Dimitrios Markonis, René Donner, Markus Holzer, Thomas Schlegl, Sebastian Dungs, Sascha Kriewel, Georg Langs, Henning Müller
2014	—	`conf`	Unsupervised Pre-training Across Image Domains Improves Lung Tissue Classification. MCV Thomas Schlegl, Joachim Ofner, Georg Langs
2013	J	`jnl`	A Pretouch Sensing System for a Robot Grasper Using Magnetic and Capacitive Sensors. IEEE Trans. Instrum. Meas. Thomas Schlegl, Markus Neumayer, Stephan Mühlbacher-Karrer, Hubert Zangl
2013	—	`conf`	Ultrasound Based Object Detection for Human-Robot Collaboration. ICIRA (2) Christoph Glowa, Thomas Schlegl
2013	A	`conf`	Virtual whiskers - Highly responsive robot collision avoidance. IROS Thomas Schlegl, Torsten Kröger, Andre Gaschler, Oussama Khatib, Hubert Zangl
2012	—	`conf`	An Image Based Algorithm to Safely Locate Human Extremities for Human-Robot Collaboration. ICIRA (2) Johannes Höcherl, Thomas Schlegl
2012	—	`conf`	Derivation of Dynamic Equations of Serial Robot Manipulators with Coupled Ideal Joint Motion. ICIRA (3) Mark Becke, Thomas Schlegl
2011	A*	`conf`	Toward an experimental method for evaluation of biomechanical joint behavior under high variable load conditions. ICRA Mark Becke, Thomas Schlegl
2003	—	`conf`	Compensation of discrete contact state errors in multi-fingered manipulation. CIRA Thomas Schlegl
2001	A	`conf`	Accurate discrete-continuous dynamical simulation of dextrous manipulation. IROS Thomas Schlegl, Franz Strobl, Martin Buss
2001	A*	`conf`	Fast Dextrous Regrasping with Optimal Contact Forces and Contact Sensor-Based Impedance Control. ICRA Thomas Schlegl, Martin Buss, Toru Omata, Günther Schmidt
2000	A*	`conf`	A Discrete-Continuous Control Approach to Dextrous Manipulation. ICRA Martin Buss, Thomas Schlegl
1999	A	`conf`	Compensation of discrete contact state errors in regrasping experiments with the TUM-hand. IROS Thomas Schlegl, Franz Freyberger, Steffen Haidacher, Friedrich Pfeiffer, Martin Buss, Günther Schmidt
1999	A	`conf`	Grasp evaluation based on unilateral force closure. IROS Steffen Haidacher, Thomas Schlegl, Martin Buss
1998	A*	`conf`	Hybrid Closed-Loop Control of Robotic Hand Regrasping. ICRA Thomas Schlegl, Martin Buss
1997	A*	`conf`	Multi-fingered regrasping using on-line grasping force optimization. ICRA Martin Buss, Thomas Schlegl