Robert Dürichen

According to our database, Robert Dürichen authored at least 31 papers between 2012 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Enabling scalable clinical interpretation of ML-based phenotypes using real world data.

Owen Parsons, Nathan E. Barlow, Janie Baxter, Karen Paraschin, Andrea Derix, Peter Hein, Robert Dürichen

CoRR, 2022

Similarity-based prediction of Ejection Fraction in Heart Failure Patients.

Jamie Wallis, Andres Azqueta-Gavaldon, Thanusha Ananthakumar, Robert Dürichen, Luca Albergante

CoRR, 2022

2021

Compensating trajectory bias for unsupervised patient stratification using adversarial recurrent neural networks.

Avelino Javer, Owen Parsons, Oliver Carr, Janie Baxter, Christian Diedrich, Eren Elçi, Steffen Schaper, Katrin Coboeken, Robert Dürichen

CoRR, 2021

Longitudinal patient stratification of electronic health records with flexible adjustment for clinical outcomes.

Oliver Carr, Avelino Javer, Patrick Rockenschaub, Owen Parsons, Robert Dürichen

Proceedings of the Machine Learning for Health, 2021

2020

Deep Semi-Supervised Embedded Clustering (DSEC) for Stratification of Heart Failure Patients.

Oliver Carr, Stojan Jovanovic, Luca Albergante, Fernando Andreotti, Robert Dürichen, Nadia Lipunova, Janie Baxter, Rabia T. Khan, Benjamin Irving

CoRR, 2020

Prediction of the onset of cardiovascular diseases from electronic health records using multi-task gated recurrent units.

Fernando Andreotti, Frank S. Heldt, Basel Abu-Jamous, Ming Li, Avelino Javer, Oliver Carr, Stojan Jovanovic, Nadezda Lipunova, Benjamin Irving, Rabia T. Khan, Robert Dürichen

CoRR, 2020

COVID-19 Patient Outcome Prediction Using Selected Features from Emergency Department Data and Feed-Forward Neural Networks.

Sophie Peacock, Mattia Cinelli, Frank S. Heldt, Lachlan McLachlan, Marcela P. Vizcaychipi, Alex McCarthy, Nadezda Lipunova, Robert A. Fletcher, Anne Hancock, Robert Dürichen, Fernando Andreotti, Rabia T. Khan

Proceedings of the Wireless Mobile Communication and Healthcare, 2020

2019

Wearable-Based Affect Recognition - A Review.

Philip Schmidt, Attila Reiss, Robert Dürichen, Kristof Van Laerhoven

Sensors, 2019

Multi-target affect detection in the wild: an exploratory study.

Philip Schmidt, Robert Dürichen, Attila Reiss, Kristof Van Laerhoven, Thomas Plötz

Proceedings of the 23rd International Symposium on Wearable Computers, ISWC 2019, London, 2019

Personal thermal perception models using skin temperatures and HR/HRV features: comparison of smartwatch and professional measurement devices.

Fanny Kobiela, Rongrong Shen, Marcel Schweiker, Robert Dürichen

Proceedings of the 23rd International Symposium on Wearable Computers, ISWC 2019, London, 2019

2018

Binary Input Layer: Training of CNN models with binary input data.

Robert Dürichen, Thomas Rocznik, Oliver Renz, Christian Peters

CoRR, 2018

Wearable affect and stress recognition: A review.

Philip Schmidt, Attila Reiss, Robert Dürichen, Kristof Van Laerhoven

CoRR, 2018

Sensing Room Occupancy Levels with Signal-to-Noise Ratio and Signal Phase and Multiple Antenna Configurations.

Jens Weppner, Benjamin Bischke, Attila Reiss, Robert Dürichen, Paul Lukowicz

Proceedings of the 2018 IEEE SENSORS, New Delhi, India, October 28-31, 2018, 2018

Introducing WESAD, a Multimodal Dataset for Wearable Stress and Affect Detection.

Philip Schmidt, Attila Reiss, Robert Dürichen, Claus Marberger, Kristof Van Laerhoven

Proceedings of the 2018 on International Conference on Multimodal Interaction, 2018

Labelling Affective States "in the Wild": Practical Guidelines and Lessons Learned.

Philip Schmidt, Attila Reiss, Robert Dürichen, Kristof Van Laerhoven

Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018

Prediction of electrocardiography features points using seismocardiography data: a machine learning approach.

Robert Dürichen, Keshav Deep Verma, Seow Yuen Yee, Thomas Rocznik, Philip Schmidt, Joschka Boedecker, Christian Peters

Proceedings of the 2018 ACM International Symposium on Wearable Computers, 2018

2017

CNN-based sensor fusion techniques for multimodal human activity recognition.

Sebastian Münzner, Philip Schmidt, Attila Reiss, Michael Hanselmann, Rainer Stiefelhagen, Robert Dürichen

Proceedings of the 2017 ACM International Symposium on Wearable Computers, 2017

Occupancy Detection in Commercial and Residential Environments Using Audio Signal.

Shabnam Ghaffarzadegan, Attila Reiss, Mirko Ruhs, Robert Dürichen, Zhe Feng

Proceedings of the Interspeech 2017, 2017

2015

From univariate to multivariate respiratory motion compensation. A Bayesian way to increase treatment accuracy in robotic radiotherapy.

Robert Dürichen

PhD thesis, 2015

Multitask Gaussian Processes for Multivariate Physiological Time-Series Analysis.

Robert Dürichen, Marco A. F. Pimentel, Lei A. Clifton, Achim Schweikard, David A. Clifton

IEEE Trans. Biomed. Eng., 2015

Controlling motion prediction errors in radiotherapy with relevance vector machines.

Robert Dürichen, Tobias Wissel, Achim Schweikard

Int. J. Comput. Assist. Radiol. Surg., 2015

Detecting Respiratory Artifacts from Video Data.

Sven-Thomas Antoni, Robert Plagge, Robert Dürichen, Alexander Schlaefer

Proceedings of the Bildverarbeitung für die Medizin 2015, Algorithmen - Systeme, 2015

2014

A unified approach for respiratory motion prediction and correlation with multi-task Gaussian Processes.

Robert Dürichen, Tobias Wissel, Floris Ernst, Marco A. F. Pimentel, David A. Clifton, Achim Schweikard

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Tissue thickness estimation for high precision head-tracking using a galvanometric laser scanner - A case study.

Tobias Wissel, Patrick Stüber, Benjamin Wagner, Robert Dürichen, Ralf Bruder, Achim Schweikard, Floris Ernst

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Multi-task Gaussian process models for biomedical applications.

Robert Dürichen, Marco A. F. Pimentel, Lei A. Clifton, Achim Schweikard, David A. Clifton

Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014

2013

Optimized order estimation for autoregressive models to predict respiratory motion.

Robert Dürichen, Tobias Wissel, Achim Schweikard

Int. J. Comput. Assist. Radiol. Surg., 2013

Respiratory Motion Compensation with Relevance Vector Machines.

Robert Dürichen, Tobias Wissel, Floris Ernst, Achim Schweikard

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Evaluation of the potential of multi-modal sensors for respiratory motion prediction and correlation.

Robert Dürichen, Lucas Davenport, Ralf Bruder, Tobias Wissel, Achim Schweikard, Floris Ernst

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Multi-modal respiratory motion prediction using sequential forward selection method.

Robert Dürichen, Tobias Wissel, Floris Ernst, Achim Schweikard

Proceedings of the 12. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie, 2013

2012

Prediction of respiratory motion using wavelet based support vector regression.

Robert Dürichen, Tobias Wissel, Achim Schweikard

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Efficient SVR model update approaches for respiratory motion prediction.

Robert Dürichen, Tobias Wissel, Achim Schweikard

Proceedings of the 11. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie, 2012