MIDL 2021

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

Startseite | Publikationen | zurück
Export 100 results:
Sortieren nach: [ Autor (Desc)] Titel Jahr
Filter: First Letter Of Title gleich S  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R [S] T U V W X Y Z   [Zeige ALLE]
Z
Zeplin G., Kock A.-K., Seidl K., Mersmann S., Ingenerf J.
Semantische HL7v3 Annotation klinischer Messwerte aus einem PDMS mittels ISO/IEEE 11073 Gerätebeschreibungen zur Anbindung von Smart Applications
In: Blettner M., Kaatsch P., Kaiser M. (eds.), 56. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (gmds), 6. Jahrestagung der Deutschen Gesellschaft für Epidemiologie (DGEpi), Mainz, 190-191, 2011
W
Wolff J., Schindler S., Lucas C., Binninger A.-S., Weinrich L., Schreiber J., Hegerl U., Möller H.E., Leitzke M., Geyer S. et al.
A semi-automated algorithm for hypothalamus volumetry in 3 Tesla magnetic resonance images
Psychiatry Research: Neuroimaging, 277, 45-51, 2018
Wilms M., Werner R., Blendowski M., Ortmüller J., Handels H.
Simulation of Range Imaging-Based Estimation of Respiratory Lung Motion: Influence of Noise, Signal Dimensionality and Sampling Patterns
Methods of Information in Medicine, 53, 4, 257-263, 2014
Wilms M., Werner R., Ehrhardt J., Schmidt-Richberg A., Blendowski M., Handels H.
Surrogate-Based Diffeomorphic Motion Estimation for Radiation Therapy: Comparison of Multivariate Regression Approaches
In: Ourselin S., Haynor D.R. (eds.), SPIE Medical Imaging 2013, Image Processing, Orlando, USA, 8669-40,151-158, 2013
PDF
Wilms M., Ehrhardt J., Werner R., Marx M., Handels H.
Statistical Analysis of Surrogate Signals to Incorporate Respiratory Motion Variability into Radiotherapy Treatment Planning
In: Yaniv Z.R., Holmes III D.R. (eds.), SPIE Medical Imaging 2014, Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, USA, 9036, 90360J, 2014
Wilms M., Werner R., Yamamoto T., Handels H., Ehrhardt J.
Subpopulation-based correspondence modelling for improved respiratory motion estimation in the presence of inter-fraction motion variations
Physics in Medicine and Biology, 62, 14, 5823-5839, 2017
Werner R., Fehlauer F., Ehrhardt J., Albers D., Cremers F., Schmidt R., Handels H.
Strahlentherapie thorakaler Tumoren: Untersuchung der Auswirkungen der Atemphase auf die geplante Dosisverteilung unter Verwendung von 4D-CT-Daten
In: 13. Jahreskongress der Deutschen Gesellschaft für Radioonkologie, DEGRO 2007, Hannover, Strahlenther Onkol, 183 (Sondernr. 1), 23, 2007
Werner R.
Strahlentherapie atmungsbewegter Tumoren, Bewegungsfeldschätzung und Dosisakkumulation anhand von 4D-Bilddaten
Buzug T.M. (ed.), Aktuelle Forschung Medizintechnik, Springer Vieweg, Wiesbaden, 2013
Wagner M., Zamelczyk-Pajewska M., Landes C., Sudhoff H., Kosmider J., Richards T., Krause U.-M., Stark R., Groh A., Weichert F. et al.
Simulating Soft Data to make Soft Data applicable to Simulation
In vivo (Athens, Greece), 20, 1, 49-54, 2006
Abstract
U
Uzunova H., Wilms M., Forkert N.D., Handels H., Ehrhardt J.
A systematic comparison of generative models for medical images
International Journal of Computer Assisted Radiology and Surgery, 1-12, 2022
Uzunova H., Basso L., Ehrhardt J., Handels H.
Synthesis of annotated pathological retinal OCT data with pathology-induced deformations
In: Maier-Hein K., Deserno T., Handels H., Maier A., Palm C., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2022, Heidelberg, Informatik Aktuell, Springer Vieweg, Wiesbaden, Abstract:197, 2022
Uzunova H., Basso L., Ehrhardt J., Handels H.
Synthesis of annotated pathological retinal OCT data with pathology-induced deformations
In: Proc. SPIE 12033, Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, United States, SPIE, 12033, 2022
Abstract
Ulrich H., Germer S., Kock-Schoppenhauer A.-K., Kern J., Lablans M., Ingenerf J.
A Smart Mapping Editor for Standardised Data Transformation
Studies in Health Technology and Informatics, 270, 1185-1186, 2020
S
Suinesiaputra A., Ablin P., Alba X., Alessandrini M., Allen J., Bai W., Cimen S., Claes P., Cowan B.R., D'hooge J. et al.
Statistical shape modeling of the left ventricle: myocardial infarct classification challenge.
IEEE journal of biomedical and health informatics, 22, 2, 503-515, 2018
Abstract
Stein A., Otte K., Röhling H.M., Li F., Nisar M.A., Grzegorzek M.
Segmentation of infants in depth data: Evaluation of thresholding approaches
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, 307-310, 2022
Soika K.L., Melnik S., Heinrich M.P.
Simulated Monochromatic X-ray Images by Forward Projection Utilizing the Lambert-Beer Law
In: Buzug T.M., Handels H. (eds.), Student Conference 2017, Medical Engineering Science and Medical Informatics, Lübeck, Infinite Science Publishing, 285-288, 2017
Schumacher M., Frey D., Ha I.Y., Genz A., Bade R., Heinrich M.P.
Semantically Guided 3D Abdominal Image Registration with Deep Pyramid Feature Learning
In: Palm C., Deserno T.M., Handels H., Maier A., Maier-Hein K.H., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2021, Regensburg, Informatik aktuell, Springer Vieweg, Wiesbaden, 16-21, 2021
Schmidt-Richberg A., Ehrhardt J., Werner R., Handels H.
Slipping Objects in Image Registration: Improved Motion Field Estimation with Direction-dependent Regularization
In: Medical Image Computing and Computer-Assisted Intervention - MICCAI 2009, London, Lecture Notes in Computer Science, Springer Verlag, Part I, LNCS 5761 , 755-762, 2009
Schladetzky J., Studer M., Handels H.
Segmentation of Cutaneous Lymphoma Lesions Using Convolutional Neural Networks
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, 329-332, 2021
Schaar M., Ehrhardt J.
Segmentation of Anatomical Structures Using Statistical Shape Models Based on Level Sets
In: Buzug T.M., Ehrhardt J., Handels H., Ingenerf J., et al (eds.), Student Conference 2013, Medical Engineering Science, Lübeck, Grin Verlag, 3-6, 2013
Säring D., Barmeyer A., Stork A., Handels H.
Segmentierung des linken Ventrikels in 4D-MR-Bildfolgen unter Verwendung nicht-linearer Registrierung
In: 41. Jahrestagung der Deutschen Gesellschaft für Biomedizinische Technik, Proceedings-CD BMT 2007, Aachen, Biomedizinische Technik, de Gruyter, Vol 52, Ergänzungsband, 2007
PDF
R
Rajput A.M., Ballout S., Drenkhahn C.M.
Standardizing the Unit of Measurements in LOINC-Coded Laboratory Tests Can Significantly Improve Semantic Interoperability
Studies in Health Technology and Informatics, 275, 234-235, 2020
P
Peifer C., Pollak A., Flak O., Pyszka A., Nisar M.A., Irshad M.T., Grzegorzek M., Kordyaka B., Kożusznik B.
The Symphony of Team Flow in Virtual Teams. Using Artificial Intelligence for Its Recognition and Promotion
Frontiers in Physiology, Frontiers Media, 12, 2021
O
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
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
N
Nalepa G., Grzegorzek M., Juarez J., Rauthmann J.
Special Issue on Multimodal Sensing for Understanding Behavior and Personality
Sensors (MDPI), MDPI, 2020
M
Mücke E., Handels H., Werner R.
Self-reference-based and during-registration detection of motion artifacts in spatio-temporal image data
In: Angelini E.D. (ed.), SPIE Medical Imaging 2018: Image Processing, Houston, Texas, United States, SPIE, 10574, 105740Q-1-105740Q-7, 2018
Mastmeyer A., Kath N., Handels H.
Semantische und numerische Datenfusionierung für Virtual Reality Simulationen zur Ablationsplanung unter Atembewegung
In: GMDS, Osnabrück, 2018
Marx M., Ehrhardt J., Werner R., Schlemmer H.-P., Handels H.
Simulation of Spatiotemporal CT Data Sets Using a 4D MRI-Based Lung Motion Model
International Journal of Computer Assisted Radiology and Surgery, 9, 3, 401-409, 2014
Manna C., Rahman A., Sbracia M., Pappalardo S., Mohamed E.I., Linder R., Nardo L.G.
Serum luteinizing hormone, follicle-stimulating hormone and oestradiol pattern in women undergoing pituitary suppression with different gonadotrophin-releasing hormone analogue protocols for assisted reproduction
Gynecological endocrinology : the official journal of the International Society of Gynecological Endocrinology, 20, 4, 188-94, 2005
Abstract
Maier O., Wilms M., von der Gablentz J., Krämer U., Handels H.
Segmentierung von ischämischen Schlaganfall-Läsionen in multispektralen MR-Bildern mit Random Decision Forests
In: Deserno T.M., Handels H., Meinzer H.-P., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2014, Aachen, Informatik aktuell, Springer, Berlin Heidelberg, 156-161, 2014
L
Lucas C., Maier O., Heinrich M.P.
Shallow fully-connected neural networks for ischemic stroke-lesion segmentation in MRI
In: Maier-Hein K.H., Deserno T.M., Handels H., Tolxdorff T. (eds.), Bildverarbeitung in der Medizin 2017, Heidelberg, Informatik aktuell, Springer Vieweg, Berlin Heidelberg, 261-266, 2017
Lins C., Fudickar S., Hein A.
SKAML: An XML Markup Language for Abstract Skeleton Definitions in the Context of Human Posture Assessments
In: Medical Informatics Europe, Gothenburg, Sweden, 2018
Abstract
Linder R., Wirtz. S., Pöppl S.J.
Speeding up Backpropagation Learning by the APROP Algorithm
In: Second International ICSC Symposium on Neural Computation, Berlin, Proceedings CD, 2000
K
Krüger J., Ehrhardt J., Bischof A., Handels H.
Simulation mammographischer Brustkompression zur Generierung von MRT-Projektionsbildern
In: Meinzer H.-P., Deserno T.M., Handels H., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin, BVM 2013, Heidelberg, Informatik aktuell, Springer Verlag, Berlin, 146-151, 2013
PDF
Krüger J., Ehrhardt J., Bischof A., Handels H.
Simulation of Mammographic Breast Compression in 3D MR Images Using ICP-Based B-Spline Deformation for Multimodality Breast Cancer Diagnosis
International Journal of Computer Assisted Radiology and Surgery, 9, 3, 367-377, 2014
Krüger J., Ehrhardt J., Handels H.
Statistical appearance models based on probabilistic correspondences
Medical Image Analysis, 37, 146-159, 2017
Krönert D., Grünewald A., Li F., Grzegorzek M., Brück R.
Sensor Headband for Emotion Recognition in a Virtual Reality Environment
In: 6th International Conference on Information Technologies in Biomedicine (ITIB 2018), Kamień Śląski, Poland, Springer, 539-548, 2018
Krauth J., Gerlach S., Marzahl C., Voigt J., Handels H.
Synthetic Training with Generative Adversarial Networks for Segmentation of Microscopies
In: Handels H., Deserno T.M., Maier A., Maier-Hein K.H., Palm C., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2019, Lübeck, Informatik aktuell, Springer Vieweg, Wiesbaden, 37-42, 2019
Kock-Schoppenhauer A.-K., Bruland P., Kadioglu D., Brammen H., Ulrich H., Kulbe K., Duhm-Harbeck P., Ingenerf J.
Scientific Challenge in eHealth: MAPPATHON- A Metadata Mapping Challenge
In: MedInfo, Lyon, Stud Health Technol Inform, 264, 1516-1517, 2019
Kock A.-K., Ingenerf J., Halkaliev S., Handels H.
Standardisierung medizinischer Gerätedaten für die strukturierte Dokumentation
In: Duesberg F. (ed.), e-Health 2013, Medical Future Verlag, Solingen, 28-41, 2013
Khan M.H., Farid M.S., Grzegorzek M.
Spatiotemporal Features of Human Motion for Gait Recognition
Signal, Image and Video Processing, 13, 2, 369-377, 2019
Khan M.H., Farid M.S., Grzegorzek M.
Spatiotemporal features of human motion for gait recognition
Signal, Image and Video Processing, 2018
Kepp T., Sudkamp H., von der Burchard C., Schenke H., Koch P., Hüttmann G., Roider J., Heinrich M.P., Handels H.
Segmentation of Retinal Low-Cost Optical Coherence Tomography Images using Deep Learning
In: SPIE Medical Imaging 2020, Houston, USA, 2020
Kepp T., Droigk C., Casper M., Evers M., Hüttmann G., Salma N., Manstein D., Heinrich M.P., Handels H.
Segmentation of Mouse Skin Layers in Optical Coherence Tomography Image Data using Deep Convolutional Neural Networks
Biomedical Optics Express, 10, 7, 3484-3496, 2019
Kepp T., Droigk C., Casper M., Evers M., Salma N., Manstein D., Handels H.
Segmentation of subcutaneous fat within mouse skin in 3D OCT image data using random forests
In: SPIE Medical Imaging 2018: Image Processing, Houston, Texas, United States, SPIE, 10574, 1057426-1-1057426-8, 2018
PDF
Kepp T., Sudkamp H., von der Burchard C., Schenke H., Koch P., Hüttmann G., Roider J., Heinrich M.P., Handels H.
Segmentation of Retinal Low-Cost Optical Coherence Tomography Images Using Deep Learning
In: Tolxdorff T., Deserno T.M., Handels H., Maier A., Maier-Hein K.H., Palm C. (eds.), Bildverarbeitung für die Medizin 2020, Berlin, Informatik aktuell, Springer Vieweg, Wiesbaden, 183, 2020
Kath N., Handels H., Mastmeyer A.
Simulation von Radiofrequenzablationen für die Leberpunktion in 4D-VR-Simulationen
In: Handels H., Deserno T.M., Maier A., Maier-Hein K.H., Palm C., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2019, Lübeck, Informatik aktuell, Springer Vieweg, Wiesbaden, 289-294, 2019
Kasparick M., Köny M., Andersen B., Riech K., Keller A., Kämmer S., Guth A., Mündermann L., Stickel A., Klöckner S. et al.
Service-Oriented Medical Device Connectivity: Particular Interoperability Standards for High Frequency Surgical Equipment and External Control Devices
Current Directions in Biomedical Engineering, 7, 2, 523-526, 2021
Kappes R., Fudickar S., Deiters J.
Safety4Bikes : Assistance Systems for Cycling Children to Increase Safety
In: International Cycling Safety Conference - Abstract Book, 71, 2019
Abstract

Studium

Medizinische Informatik
an der Uni Lübeck studieren

Informationen für
Interessierte u. Einsteiger

Anschrift

Institutssekretariat
Susanne Petersen

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


Gebäude 64 (Informatik)

Ratzeburger Allee 160
23538 Lübeck
Deutschland
Kontakt · Impressum · Log-In
Copyright © Institut für Medizinische Informatik. Alle Rechte vorbehalten.

Powered by Drupal and Drupal Theme created with Artisteer by Dr. Wrage.