MIDL 2021

 
International Conference on
Medical Imaging with Deep Learning
5. bis 7. Juli 2021

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C
Ritter J., Schwarzmann M.D., Karstensen L., Grzegorzek M.
Comparison of deep reinforcement learning algorithms for Catheter-based interventions
In: Buzug T.M., Handels H., Hübner C., Klein S., Mertins A., Rostalski P. (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
Trense C., Piet A., Huang X., Grzegorzek M.
Comparison of Data Augmentation Techniques for PhenotypeData of Parkinson’s Patients
In: Buzug T.M., Handels H., Klein S., Hübner C., Mertins A., Rostalski P. (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
Fudickar S., Valentin M.
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
Abstract
Polzin T., Rühaak J., Werner R., Strehlow J., Heldmann S., Handels H., Modersitzki J.
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
Kepp T., Ehrhardt J., Handels H.
Combined Registration and Segmentation of the Left Ventricle in Cine MR Image Data
In: Handels H., Ingenerf J. (eds.), 58. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (GMDS), Lübeck, Abstractband GMDS 2013, ID334:551-552, 2013
Andresen J., Kepp T., Ehrhardt J., von der Burchard C., Roider J., Handels H.
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
Heinrich M.P.
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
Gouverneur P., Li F., Szikszay T., Adamczyk W., Grzegorzek M.
Classification of Heat-Induced Pain Using Physiological Signals
In: 8th International Conference on Information Technologies in Biomedicine (ITIB 2020), Kamień Śląski, Poland, Springer, 2020
Fleitmann M., Seebaß M., Westerhoff M., Stalling D., Heinrich M.P., Blendowski M.
Classification of axial CT Images using Deep Learning for determining a Standard Coordinate System
In: Buzug T.M., Handels H., Klein S. (eds.), Student Conference 2018, Medical Engineering Science, Medical Informatics and Biomediacal Engineering, Lübeck, Infinite Science Publishing, 247-250, 2018
Strenge P., Lange B., Grill C., Draxinger W., Danicke V., Theisen-Kunde D., Handels H., Bonsanto M.M., Hagel C., Huber R. et al.
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
Roßmanith C., Handels H., Pöppl S.J.
Characterisation and Classification of Brain Tumours in Three-Dimensional MR Image Sequences
In: Höhne K.H., Kikinis R. (eds.), 4th International Conference, Visualization in Biomedical Computing, VBC'96, Hamburg, Lecture Notes in Computer Science, Springer-Verlag, Berlin/Heidelberg, 1131, 429-438, 1996

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Study Medical Informatics
at the University of Lübeck

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Susanne Petersen

Tel+49 451 3101 5601
Fax+49 451 3101 5604


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23538 Lübeck
Germany