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Student Conference Proceedings 2017: 6th Conference on Medical Engineering Science and 2nd Conference on Medical Informatics
Infinite Science Publishing, Lübeck, 2017
Joint registration and segmentation using statistical shape models
In: (eds.), Student Conference 2017, Medical Engineering Science and Medical Informatics, Lübeck, Infinite Science Publishing, 201-204, 2017
Deep Multi-Modal Encoder-Decoder Networks for Shape Constrained Segmentation and Joint Representation Learning
In: (eds.), Bildverarbeitung für die Medizin 2019, Lübeck, Informatik aktuell, Springer Vieweg, Wiesbaden, 23-28, 2019
Model-Based 4D Segmentation of Cardiac Structures in Cine MRI Sequences
In: (eds.), Bildverarbeitung für die Medizin 2017, Heidelberg, Informatik aktuell, Springer Vieweg, Berlin Heidelberg, 18-23, 2017
Computergestützte 3D-Operationsplanung zur präoperativen Repositionierung von Knochenfragmenten bei komplizierten Knochenbrüchen
In: (eds.), Bildverarbeitung für die Medizin 2007, München, Informatik aktuell, Springer Verlag, 192-196, 2007
Unsupervised Segmentation of Wounds in Optical Coherence Tomography Images Using Invariant Information Clustering
In: (eds.), Bildverarbeitung für die Medizin 2022, Heidelberg, Informatik Aktuell, Springer Vieweg, Wiesbaden, 1-6, 2022
Deep learning-based simultaneous registration and unsupervised non-correspondence segmentation of medical images with pathologies
International Journal of Computer Assisted Radiology and Surgery, 2022
Image registration and appearance adaptation in non-correspondent image regions for new MS lesions detection
Frontiers in Neuroscience, 16, 2022
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
Unsupervised Non-correspondence Detection in Medical Images Using an Image Registration Convolutional Neural Network
In: (eds.), Biomedical Image Registration. WBIR 2022, Cham, Lecture Notes in Computer Science, Springer International Publishing, 13386, 3-7, 2022
New Multiple Sclerosis Lesion Detection with Convolutional Neural Registration Networks
In: (eds.), Proceedings of the 2nd MICCAI challenge on multiple sclerosis new lesions segmentation challenge using a data management and processing infrastructure — MICCAI-MSSEG-2, 111-114, 2021
English
DeutschMedizinische Informatik
an der Uni Lübeck studieren
Institutssekretariat
Susanne Petersen
Tel+49 451 3101 5601
Fax+49 451 3101 5604
Gebäude 64 (Informatik)
Ratzeburger Allee 160
23538 Lübeck
Deutschland
Susanne Petersen
Tel+49 451 3101 5601
Fax+49 451 3101 5604
Gebäude 64 (Informatik)
Ratzeburger Allee 160
23538 Lübeck
Deutschland