MIDL 2021

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

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2014
Ortmüller J., Wilms M., Werner R., Handels H.
Kombination von Atemsignalen zur Optimierung der Prädiktion komplexer atmungsbedingter Organ- und Tumorbewegungen
In: Deserno T.M., Handels H., Meinzer H.-P., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2014, Aachen, Informatik aktuell, Springer, Berlin Heidelberg, 72-77, 2014
2015
Oktay O., Schuh A., Rajchl M., Keraudren K., Gomez A., Heinrich M.P., Penney G., Rueckert D.
Structured Decision Forests For Multi-modal Ultrasound Image Registration
In: Navab N., Hornegger J., Wells W., Frangi A.F. (eds.), 18th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, Munich, Lecture Notes in Computer Science, Springer, Berlin, LNCS Vol. 9350, 363-371, 2015
Ortmüller J., Werner R., Wilms M., Handels H., Gauer T.
Repiratory Surface Motion Measurement by Microsoft Kinect: Implementation and Evaluation of a clinical Setup
In: Buzug T.M., Birngruber R., Brinkmann R., Gehring H., Gutsmann T., Handels H., Heinrich M.P., et al (eds.), Student Conference 2015, Medical Engineering Science, Lübeck, 135-138, 2015
Ortmüller J., Gauer T., Wilms M., Handels H., Werner R.
Respiratory Surface Motion Measurement by Microsoft Kinect: Implementation and Evaluation of a Clinical Setup
Current Directions in Biomedical Engineering, 1, 1, 270-273, 2015
2017
Oktay O., Bai W., Guerrero R., Rajchl M., de Marvao A., O’Regan D.P., Cook S.A., Heinrich M.P., Glocker B., Rueckert D.
Stratified Decision Forests for Accurate Anatomical Landmark Localization in Cardiac Images
IEEE Transactions on Medical Imaging, IEEE, 36, 1, 332-342, 2017
2018
Oehm J., Ulrich H., Simon D., Ingenerf J.
An Investigation on Automated Consolidation for Medical Database Schemata
In: Buzug T.M., Handels H., Klein S. (eds.), Student Conference 2018, Medical Engineering Science, Medical Informatics and Biomediacal Engineering, Lübeck, Infinite Science Publishing, 361-364, 2018
Oktay O., Ferrante E., Kamnitsas K., Heinrich M.P., Bai W., Caballero J., Cook S.A., de Marvao A., Dawes T., O'Regan D.P. et al.
Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation
IEEE Transactions on Medical Imaging, 37, 2, 384-395, 2018
Oktay O., Schlemper J., Folgoc L.L., Lee M., Heinrich M.P., Misawa K., Mori K., McDonagh S., Hammerla N.Y., Kainz B. et al.
Attention U-Net: Learning Where to Look for the Pancreas
In: Conference on Medical Imaging with Deep Learning (MIDL 2018), 2018
2021
Ottink F.A., Koehler G., Heinrich M.P.
Towards Effective Contrastive Pretraining for Medical Image Segmentation
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, 287-290, 2021
2022
Ohlsen T., Kruse V., Krupar R., Banach A., Ingenerf J., Drenkhahn C.M.
Mapping of ICD-O tuples to OncoTree codes using SNOMED CT post-coordination
Medical Informatics Europe, 294, 307--311, 2022
Abstract
Ohlsen T., Drenkhahn C.M., Kruse V., Banach A., Ingenerf J.
Mapping von ICD-O-Tupeln auf den OncoTree durch die Verwendung von SNOMED CT-Postkoordination
In: 16. DVMD-Fachtagung, Leipzig, 2022

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