Tobias Ortmaier

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All published works

Action	Title	Year	Authors
+ PDF Chat	Nonlinear Two-Track Model of a Semitrailer with Experimental Validation of Lateral and Vertical Tire Forces	2024	Simon F. G. Ehlers Zygimantas Ziaukas Jan-Philipp Kobler Alexander Busch Tobias Ortmaier Mark Wielitzka
+ PDF Chat	Safe Collision and Clamping Reaction for Parallel Robots During Human-Robot Collaboration	2023	Aran Mohammad Moritz Schappler Tim-Lukas Habich Tobias Ortmaier
+ PDF Chat	Collision Isolation and Identification Using Proprioceptive Sensing for Parallel Robots to Enable Human-Robot Collaboration	2023	Aran Mohammad Moritz Schappler Tobias Ortmaier
+ PDF Chat	Towards Human-Robot Collaboration with Parallel Robots by Kinetostatic Analysis, Impedance Control and Contact Detection	2023	Aran Mohammad Moritz Schappler Tobias Ortmaier
+	Collision Isolation and Identification Using Proprioceptive Sensing for Parallel Robots to Enable Human-Robot Collaboration	2023	Aran Mohammad Moritz Schappler Tobias Ortmaier
+	Safe Collision and Clamping Reaction for Parallel Robots During Human-Robot Collaboration	2023	Aran Mohammad Moritz Schappler Tim-Lukas Habich Tobias Ortmaier
+ PDF Chat	Recalibration of Aleatoric and EpistemicRegression Uncertainty in Medical Imaging	2021	Max-Heinrich Laves Sontje Ihler Jacob Friedemann Fast Lüder A. Kahrs Tobias Ortmaier
+	Recalibration of Aleatoric and Epistemic Regression Uncertainty in Medical Imaging.	2021	Max-Heinrich Laves Sontje Ihler Jacob Friedemann Fast Lüder A. Kahrs Tobias Ortmaier
+	Recalibration of Aleatoric and Epistemic Regression Uncertainty in Medical Imaging	2021	Max-Heinrich Laves Sontje Ihler Jacob Friedemann Fast Lüder A. Kahrs Tobias Ortmaier
+	Comparative Study of Model Order Reduction for Linear Parameter-Variant Thermal Systems	2020	Henrik Zeipel Tobias Frank Mark Wielitzka Tobias Ortmaier
+	Uncertainty Estimation in Medical Image Denoising with Bayesian Deep Image Prior	2020	Max-Heinrich Laves Malte Tölle Tobias Ortmaier
+	Patient-Specific Domain Adaptation for Fast Optical Flow Based on Teacher-Student Knowledge Transfer.	2020	Sontje Ihler Max-Heinrich Laves Tobias Ortmaier
+	Calibration of Model Uncertainty for Dropout Variational Inference	2020	Max-Heinrich Laves Sontje Ihler Karl-Philipp Kortmann Tobias Ortmaier
+ PDF Chat	Uncertainty Estimation in Medical Image Denoising with Bayesian Deep Image Prior	2020	Max-Heinrich Laves Malte Tölle Tobias Ortmaier
+	Uncertainty Estimation in Medical Image Denoising with Bayesian Deep Image Prior	2020	Max-Heinrich Laves Malte Tölle Tobias Ortmaier
+	Patient-Specific Domain Adaptation for Fast Optical Flow Based on Teacher-Student Knowledge Transfer	2020	Sontje Ihler Max-Heinrich Laves Tobias Ortmaier
+	Uncertainty Quantification in Computer-Aided Diagnosis: Make Your Model say "I don't know" for Ambiguous Cases	2019	Max-Heinrich Laves Sontje Ihler Tobias Ortmaier
+	Deformable Medical Image Registration Using a Randomly-Initialized CNN as Regularization Prior	2019	Max-Heinrich Laves Sontje Ihler Tobias Ortmaier
+ PDF Chat	Semantic denoising autoencoders for retinal optical coherence tomography	2019	Max-Heinrich Laves Sontje Ihler Lüder A. Kahrs Tobias Ortmaier
+	Semantic denoising autoencoders for retinal optical coherence tomography	2019	Max-Heinrich Laves Sontje Ihler Lüder A. Kahrs Tobias Ortmaier
+ PDF Chat	Deep-learning-based 2.5D flow field estimation for maximum intensity projections of 4D optical coherence tomography	2019	Max-Heinrich Laves Lüder A. Kahrs Tobias Ortmaier Sontje Ihler
+	Endoscopic vs. volumetric OCT imaging of mastoid bone structure for pose estimation in minimally invasive cochlear implant surgery.	2019	Max-Heinrich Laves Sarah Latus Jan Bergmeier Tobias Ortmaier Lüder A. Kahrs Alexander Schlaefer
+ PDF Chat	A dataset of laryngeal endoscopic images with comparative study on convolution neural network-based semantic segmentation	2019	Max-Heinrich Laves Jens Bicker Lüder A. Kahrs Tobias Ortmaier
+	Retinal OCT disease classification with variational autoencoder regularization	2019	Max-Heinrich Laves Sontje Ihler Lüder A. Kahrs Tobias Ortmaier
+	Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference	2019	Max-Heinrich Laves Sontje Ihler Karl-Philipp Kortmann Tobias Ortmaier
+	Semantic denoising autoencoders for retinal optical coherence tomography	2019	Max-Heinrich Laves Sontje Ihler Lüder A. Kahrs Tobias Ortmaier
+	Deformable Medical Image Registration Using a Randomly-Initialized CNN as Regularization Prior	2019	Max-Heinrich Laves Sontje Ihler Tobias Ortmaier
+	Uncertainty Quantification in Computer-Aided Diagnosis: Make Your Model say "I don't know" for Ambiguous Cases	2019	Max-Heinrich Laves Sontje Ihler Tobias Ortmaier
+	Endoscopic vs. volumetric OCT imaging of mastoid bone structure for pose estimation in minimally invasive cochlear implant surgery	2019	Max-Heinrich Laves Sarah Latus Jan Bergmeier Tobias Ortmaier Lüder A. Kahrs Alexander Schlaefer
+	Deep learning based 2.5D flow field estimation for maximum intensity projections of 4D optical coherence tomography	2018	Max-Heinrich Laves Lüder A. Kahrs Tobias Ortmaier
+	A Dataset of Laryngeal Endoscopic Images with Comparative Study on Convolution Neural Network Based Semantic Segmentation	2018	Max-Heinrich Laves Jens Bicker Lüder A. Kahrs Tobias Ortmaier
+	Computation-Efficient Simulation of Nonlinear Thermal Boundary Conditions for Large-Scale Models	2018	Tobias Frank Steffen Bosselmann Mark Wielitzka Tobias Ortmaier
+	Deep learning based 2.5D flow field estimation for maximum intensity projections of 4D optical coherence tomography	2018	Max-Heinrich Laves Lüder A. Kahrs Tobias Ortmaier
+	A Dataset of Laryngeal Endoscopic Images with Comparative Study on Convolution Neural Network Based Semantic Segmentation	2018	Max-Heinrich Laves Jens Bicker Lüder A. Kahrs Tobias Ortmaier
+	Bewegungsschätzung in der minimal invasiven Herzchirurgie (Motion Estimation in Minimally Invasive Heart Surgery)	2002	Tobias Ortmaier Martin Gröger D. Kotzor
+	Motion estimation in minimally invasive beating heart surgery	2002	Tobias Ortmaier Martin Gröger Gerd Hirzinger

Common Coauthors

Coauthor	Papers Together
Max-Heinrich Laves	26
Sontje Ihler	16
Lüder A. Kahrs	15
Aran Mohammad	5
Moritz Schappler	5
Jacob Friedemann Fast	3
Malte Tölle	3
Mark Wielitzka	3
Jan Bergmeier	2
Tobias Frank	2
Martin Gröger	2
Karl-Philipp Kortmann	2
Jens Bicker	2
Sarah Latus	2
Alexander Schlaefer	2
Tim-Lukas Habich	2
Gerd Hirzinger	1
Simon F. G. Ehlers	1
Alexander Busch	1
Henrik Zeipel	1
Zygimantas Ziaukas	1
Steffen Bosselmann	1
D. Kotzor	1
Jan-Philipp Kobler	1
Jens Bicker	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning	2015	Yarin Gal Zoubin Ghahramani	8
+	What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?	2017	Alex Kendall Yarin Gal	6
+ PDF Chat	A deep learning approach for pose estimation from volumetric OCT data	2018	Nils Gessert Matthias Schlüter Alexander Schlaefer	5
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	5
+ PDF Chat	Densely Connected Convolutional Networks	2017	Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger	4
+	Pattern Recognition and Machine Learning	2007	Christopher Bishop	4
+	Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles	2016	Balaji Lakshminarayanan Alexander Pritzel Charles Blundell	3
+ PDF Chat	Denoising adversarial autoencoders: classifying skin lesions using limited labelled training data	2018	Antonia Creswell Alison Pouplin Anil A. Bharath	3
+ PDF Chat	Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising	2017	Kai Zhang Wangmeng Zuo Yunjin Chen Deyu Meng Lei Zhang	3
+	Detecting strange attractors in turbulence	1981	Floris Takens	2
+ PDF Chat	Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+ PDF Chat	Fully convolutional networks for semantic segmentation	2015	Jonathan Long Evan Shelhamer Trevor Darrell	2
+ PDF Chat	Model Order Reduction by Approximate Balanced Truncation: A Unifying Framework / Modellreduktion durch approximatives Balanciertes Abschneiden: eine vereinigende Formulierung	2013	Thomas Wolf Heiko K. F. Panzer Boris Lohmann	2
+	Scikit-learn: Machine Learning in Python	2012	Fabián Pedregosa Gaël Varoquaux Alexandre Gramfort Vincent Michel Bertrand Thirion Olivier Grisel Mathieu Blondel Peter Prettenhofer Ron J. Weiss Vincent Dubourg	2
+	Bayesian Learning via Stochastic Gradient Langevin Dynamics	2011	Max Welling Yee Whye Teh	2
+	Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural Networks	2015	Chunyuan Li Changyou Chen David Carlson Lawrence Carin	2
+ PDF Chat	The Cityscapes Dataset for Semantic Urban Scene Understanding	2016	Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele	2
+ PDF Chat	Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?	2016	Nima Tajbakhsh Jae Y. Shin Suryakanth R. Gurudu R. Todd Hurst Christopher B. Kendall Michael B. Gotway Jianming Liang	2
+	ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation	2016	Adam Paszke Abhishek Chaurasia Sangpil Kim Eugenio Culurciello	2
+ PDF Chat	Medical Image Denoising Using Convolutional Denoising Autoencoders	2016	Lovedeep Gondara	2
+	Categorical Reparameterization with Gumbel-Softmax	2016	Eric Jang Shixiang Gu Ben Poole	2
+ PDF Chat	FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks	2017	Eddy Ilg N. Michael Mayer Tonmoy Saikia Margret Keuper Alexey Dosovitskiy Thomas Brox	2
+ PDF Chat	Model reduction for systems with inhomogeneous initial conditions	2016	Christopher Beattie Serkan Gugercin Volker Mehrmann	2
+ PDF Chat	Automatic Classification of Cancerous Tissue in Laserendomicroscopy Images of the Oral Cavity using Deep Learning	2017	Marc Aubreville Christian Knipfer Nicolai Oetter Christian Jaremenko Erik Rodner Joachim Denzler Christopher Bohr Helmut Neumann Florian Stelzle Andreas Maier	2
+ PDF Chat	Bayesian Image Quality Transfer with CNNs: Exploring Uncertainty in dMRI Super-Resolution	2017	Ryutaro Tanno Daniel E. Worrall Aurobrata Ghosh Enrico Kaden Stamatios N. Sotiropoulos Antonio Criminisi Daniel C. Alexander	2
+	On Calibration of Modern Neural Networks	2017	Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger	2
+	Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning	2018	Guotai Wang Wenqi Li María A. Zuluaga Rosalind Pratt Premal A. Patel Michaël Aertsen Tom Doel Anna L. David Jan Deprest Sébastien Ourselin	2
+ PDF Chat	Stochastic Deep Compressive Sensing for the Reconstruction of Diffusion Tensor Cardiac MRI	2018	Jo Schlemper Guang Yang Pedro Ferreira Andrew D. Scott Laura‐Ann McGill Zohya Khalique Margarita Gorodezky Malte Roehl Jennifer Keegan Dudley J. Pennell	2
+	Accurate Uncertainties for Deep Learning Using Calibrated Regression	2018	Volodymyr Kuleshov Nathan Fenner Stefano Ermon	2
+	Calibrating Uncertainties in Object Localization Task	2018	Buu Phan Rick Salay Krzysztof Czarnecki Vahdat Abdelzad Taylor Denouden Sachin Vernekar	2
+ PDF Chat	Unsupervised learning of probabilistic diffeomorphic registration for images and surfaces	2019	Adrian V. Dalca Guha Balakrishnan John Guttag Mert R. Sabuncu	2
+	Integrating spatial configuration into heatmap regression based CNNs for landmark localization	2019	Christian Payer Darko Štern Horst Bischof Martin Urschler	2
+ PDF Chat	Evaluating and Calibrating Uncertainty Prediction in Regression Tasks	2022	Dan Levi Liran Gispan Niv Giladi Ethan Fetaya	2
+	Regularizing Neural Networks by Penalizing Confident Output Distributions	2017	Gabriel Pereyra George Tucker Jan Chorowski Łukasz Kaiser Geoffrey E. Hinton	2
+	EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks	2019	Mingxing Tan Quoc V. Le	2
+ PDF Chat	A Bayesian Perspective on the Deep Image Prior	2019	Zezhou Cheng Matheus Gadelha Subhransu Maji Daniel Sheldon	2
+ PDF Chat	Semantic denoising autoencoders for retinal optical coherence tomography	2019	Max-Heinrich Laves Sontje Ihler Lüder A. Kahrs Tobias Ortmaier	2
+	SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation	2017	Vijay Badrinarayanan A. C. Kendall Roberto Cipolla	2
+	Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference	2019	Max-Heinrich Laves Sontje Ihler Karl-Philipp Kortmann Tobias Ortmaier	2
+ PDF Chat	On the Applicability of Registration Uncertainty	2019	Jie Luo Alireza Sedghi Karteek Popuri Dana Cobzaş Miaomiao Zhang Frank Preiswerk Matthew Toews Alexandra J. Golby Masashi Sugiyama William M. Wells	2
+ PDF Chat	Automatic kidney segmentation in ultrasound images using subsequent boundary distance regression and pixelwise classification networks	2019	Shi Yin Qinmu Peng Hongming Li Zhengqiang Zhang Xinge You Katherine Fischer Susan L. Furth Gregory E. Tasian Yong Fan	2
+	Concrete Dropout	2017	Yarin Gal Jiri Hron Alex Kendall	2
+ PDF Chat	Uncertainty in Multitask Learning: Joint Representations for Probabilistic MR-only Radiotherapy Planning	2018	Felix Bragman Ryutaro Tanno Zach Eaton-Rosen Wenqi Li David J. Hawkes Sébastien Ourselin Daniel C. Alexander Jamie R. McClelland M. Jorge Cardoso	2
+ PDF Chat	Real-Time Segmentation of Non-rigid Surgical Tools Based on Deep Learning and Tracking	2017	Luis C. García-Peraza-Herrera Wenqi Li Caspar Gruijthuijsen Alain Devreker George Attilakos Jan Deprest Emmanuel Vander Poorten Danail Stoyanov Tom Vercauteren Sébastien Ourselin	2
+ PDF Chat	Towards Human-Robot Collaboration with Parallel Robots by Kinetostatic Analysis, Impedance Control and Contact Detection	2023	Aran Mohammad Moritz Schappler Tobias Ortmaier	2
+	A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks	2018	Kimin Lee Kibok Lee Honglak Lee Jinwoo Shin	1
+ PDF Chat	A dataset of laryngeal endoscopic images with comparative study on convolution neural network-based semantic segmentation	2019	Max-Heinrich Laves Jens Bicker Lüder A. Kahrs Tobias Ortmaier	1
+ PDF Chat	Focal Loss for Dense Object Detection	2018	Tsung-Yi Lin Priya Goyal Ross Girshick Kaiming He Piotr Dollár	1
+ PDF Chat	QuickNAT: A fully convolutional network for quick and accurate segmentation of neuroanatomy	2018	Abhijit Guha Roy Sailesh Conjeti Nassir Navab Christian Wachinger	1
+ PDF Chat	A Data-Driven Approach for Contact Detection, Classification and Reaction in Physical Human-Robot Collaboration	2021	Martina Lippi Giuseppe Gillini Alessandro Marino Filippo Arrichiello	1