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Comparison of deep reinforcement learning algorithms for Catheter-based interventions
In: (eds.), Student Conference Proceedings 2021: Medical Engineering Science, Medical Informatics, Biomedical Engineering, Auditory Technology, Biophysics and Robotics and Autonomous Systems, Lübeck, Infinite Science Publishing, 313-316, 2021
Comparison of Data Augmentation Techniques for PhenotypeData of Parkinson’s Patients
In: (eds.), Student Conference Proceedings 2022: Medical Engineering Science, Medical Informatics, Biomedical Engineering, Auditory Technology, Biophysics and Robotics and Autonomous Systems, Lübeck, Infinite Science Publishing, 207-210, 2022
Comparison of Bolus Arrival Time Determination Methods for the Analysis of Cerebral Hemodynamics by Estimating the Impact of Temporal Resolution of 4D MRA Imaging
In: (eds.), World Congress on Medical Physics and Biomedical Engineering, Munich, Germany, IFMBE Proceedings, Springer, Berlin Heidelberg, 25/4, 1174-1177, 2009
Comparison of 2.4 GHz WiFi FTM- and RSSI-Based Indoor Positioning Methods in Realistic Scenarios
Sensors, MDPI, 20, 2020
Comparison of 10 TTP and Tmax Estimation Techniques for MR Perfusion-Diffusion Mismatch Quantification
American Journal of Neuroradiology, 34, 1697-1703, 2012
Comparing suitability of sub 1 GHz and WiFi transceivers for RSS-based indoor localisation
In: IPIN 2014 - 2014 International Conference on Indoor Positioning and Indoor Navigation, 2014
Comparing Paper-based with Electronic Patient Records: Lessons Learned during a Study on Diagnosis and Procedure Codes
Journal of the American Medical Informatics Association : JAMIA, 10, 5, 470-7, 2003
A Comparative Study of Feature Selection Approaches for Human Activity Recognition Using Multimodal Sensory Data
Sensors, MDPI, 21, 7, 2368, 2021
Combining MRF-based Deformable Registration and Deep Binary 3D-CNN Descriptors for Large Lung Motion Estimation in COPD Patients
International Journal of Computer Assisted Radiology and Surgery, 14, 1, 43-52, 2019
Combining Automatic Landmark Detection and Variational Methods for Lung CT Registration
In: MICCAI Workshop on Pulmonary Image Analysis (PIA), 16th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, Nagoya, Japan , 2013
Combined Registration and Segmentation of the Left Ventricle in Cine MR Image Data
In: (eds.), 58. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (GMDS), Lübeck, Abstractband GMDS 2013, ID334:551-552, 2013
Combined Analysis and 3D Visualization of Brain Vessel Topology and Cerebral Blood Flow in 3D and 4D MRA Image Sequences of Patients with Arteriovenous Malformations
In: 12th Korea-Germany Joint Workshop on Advanced Medical Image Processing, München, 47-52, 2009
Combination of Short- and Longaxis MR Image Sequences for 3D Segmentation of the Left Ventricle
Studies in health technology and informatics, 136, 333-8, 2008
Codebook-based electrooculography data analysis towards cognitive activity recognition.
Computers in biology and medicine, 95, 277-287, 2018
CNN-based joint non-correspondence detection and registration of retinal optical coherence tomography images
In: CARS 2021: Computer Assisted Radiology and Surgery Proceedings of the 35th International Congress and Exhibition, June 21-25, 2021, Munich, Germany, International Journal of Computer Assisted Radiology and Surgery, 16, 20-21, 2021
Cloud-Based Evaluation of Anatomical Structure Segmentation and Landmark Detection Algorithms: VISCERAL Anatomy Benchmarks.
IEEE transactions on medical imaging, 35, 11, 2459-2475, 2016
Closing the Gap Between Deep and Conventional Image Registration Using Probabilistic Dense Displacement Networks
In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2019, Cham, LNCS, Springer, 11769, 50-58, 2019
Closing of Interrupted Vascular Segmentations: an Automatic Approach Based on Shortest Paths and Level Sets
In: (eds.), Image Processing, SPIE Medical Imaging 2010, San Diego, California, USA, SPIE, 7633, 76233G1-76233G8, 2010
Classifiers for Ischemic Stroke Lesion Segmentation: A Comparison Study
PLOS ONE, 10, 12, e0145118, 2015
Classification of Patients with Pain Based on Neuropathic Pain Symptoms: Comparison of an Artificial Neural Network against an Established Scoring System
European journal of pain (London, England), 11, 4, 370-6, 2007
Classification of Melanocytic Skin Tumours with High Resolution Surface Profiles and Neural Networks
In: 4th World Conference on Melanoma, Sydney, 1997
Classification of Heat-Induced Pain Using Physiological Signals
In: 8th International Conference on Information Technologies in Biomedicine (ITIB 2020), Kamień Śląski, Poland, Springer, 2020
Classification of axial CT Images using Deep Learning for determining a Standard Coordinate System
In: (eds.), Student Conference 2018, Medical Engineering Science, Medical Informatics and Biomediacal Engineering, Lübeck, Infinite Science Publishing, 247-250, 2018
Characterizing the Influence of Muscle Activity in fNIRS Brain Activation Measurements
In: IFAC-PapersOnLine, 49, 11, 84-88, 2016
Characterization of brain tumor tissue with 1310 nm optical coherence tomography
In: Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXV, Online Only, United States, International Society for Optics and Photonics, 11630, 116301T, 2021
Characterisation and Classification of Brain Tumours in Three-Dimensional MR Image Sequences
In: (eds.), 4th International Conference, Visualization in Biomedical Computing, VBC'96, Hamburg, Lecture Notes in Computer Science, Springer-Verlag, Berlin/Heidelberg, 1131, 429-438, 1996
The Capabilities of Artificial Neural Networks in Body Composition Research
Acta diabetologica, 40 Suppl 1, S9-14, 2003
English
DeutschStudy Medical Informatics
at the University of Lübeck
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Susanne Petersen
Tel+49 451 3101 5601
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Susanne Petersen
Tel+49 451 3101 5601
Fax+49 451 3101 5604
Ratzeburger Allee 160
23538 Lübeck
Germany