MIDL 2021

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

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Linder R., Mohamed E.I., De Lorenzo A., Pöppl S.J.
The Capabilities of Artificial Neural Networks in Body Composition Research
Acta diabetologica, 40 Suppl 1, S9-14, 2003
Abstract
Lins C., Eckhoff D., Klausen A., Hellmers S., Hein A., Fudickar S.
Cardiopulmonary resuscitation quality parameters from motion capture data using Differential Evolution fitting of sinusoids
Applied Soft Computing, 2019
Abstract
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
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
Volkening N., Unni A., Löffler B.S., Fudickar S., Rieger J.W., Hein A.
Characterizing the Influence of Muscle Activity in fNIRS Brain Activation Measurements
In: IFAC-PapersOnLine, 49, 11, 84-88, 2016
Abstract
Santarossa M., Tatli A., von der Burchard C., Andresen J., Roider J., Handels H., Koch R.
Chronological Registration of OCT and Autofluorescence Findings in CSCR: Two Distinct Patterns in Disease Course
Diagnostics, 12, 8, 1780, 2022
Abstract
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
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
Kreusch J., Roß T., Handels H., Busche H., Connemann B.
Classification of Melanocytic Skin Tumours with High Resolution Surface Profiles and Neural Networks
In: 4th World Conference on Melanoma, Sydney, 1997
Behrman M., Linder R., Assadi A.H., Stacey B.R., Backonja M.-M.
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
Abstract
Maier O., Schröder C., Forkert N.D., Martinetz T., Handels H.
Classifiers for Ischemic Stroke Lesion Segmentation: A Comparison Study
PLOS ONE, 10, 12, e0145118, 2015
Forkert N.D., Schmidt-Richberg A., Säring D., Illies T., Fiehler J., Handels H.
Closing of Interrupted Vascular Segmentations: an Automatic Approach Based on Shortest Paths and Level Sets
In: Dawant B.M., Haynor D.R. (eds.), Image Processing, SPIE Medical Imaging 2010, San Diego, California, USA, SPIE, 7633, 76233G1-76233G8, 2010
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
Jimenez-Del-Toro O., Muller H., Krenn M., Gruenberg K., Taha A.A., Winterstein M., Eggel I., Foncubierta-Rodriguez A., Goksel O., Jakab A. et al.
Cloud-Based Evaluation of Anatomical Structure Segmentation and Landmark Detection Algorithms: VISCERAL Anatomy Benchmarks.
IEEE transactions on medical imaging, 35, 11, 2459-2475, 2016
Abstract
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
Lagodzinski P., Shirahama K., Grzegorzek M.
Codebook-based electrooculography data analysis towards cognitive activity recognition.
Computers in biology and medicine, 95, 277-287, 2018
Abstract
Säring D., Relan J., Groth M., Müllerleile K., Handels H.
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
Abstract PDF
Handels H., Forkert N.D., Säring D., Illies T., Fiehler J.
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
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
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
Blendowski M., Heinrich M.P.
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
Amjad F., Khan M.H., Nisar M.A., Farid M.S., Grzegorzek M.
A Comparative Study of Feature Selection Approaches for Human Activity Recognition Using Multimodal Sensory Data
Sensors, MDPI, 21, 7, 2368, 2021
Stausberg J., Koch D., Ingenerf J., Betzler M.
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
Abstract
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
Forkert N.D., Kaesemann P., Treszl A., Siemonson S., Cheng B., Handels H., Fiehler J., Thomalla G.
Comparison of 10 TTP and Tmax Estimation Techniques for MR Perfusion-Diffusion Mismatch Quantification
American Journal of Neuroradiology, 34, 1697-1703, 2012
Bullmann M., Fetzer T., Ebner F., Ebner M., Deinzer F., Grzegorzek M.
Comparison of 2.4 GHz WiFi FTM- and RSSI-Based Indoor Positioning Methods in Realistic Scenarios
Sensors, MDPI, 20, 2020
Forkert N.D., Säring D., Fiehler J., Illies T., Möller D., Handels H.
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: Dössel O., Schlegel W.C. (eds.), World Congress on Medical Physics and Biomedical Engineering, Munich, Germany, IFMBE Proceedings, Springer, Berlin Heidelberg, 25/4, 1174-1177, 2009
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
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
Gouverneur P., Li F., Adamczyk W., Szikszay T., Lüdtke K., Grzegorzek M.
Comparison of Feature Extraction Methods for Physiological Signals for Heat-based Pain Recognition
Sensors, MDPI, 21, 2021
Germer S., Uzunova H., Ehrhardt J., Feldhus N., Thomas P., Handels H.
A Comparison of Feature Extraction Models for Medical Image Captioning
In: 67. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V. (GMDS), 13. Jahreskongress der Technologie- und Methodenplattform für die vernetzte medizinische Forschung e.V. (TMF), Kiel, 2022
Li F., Shirahama K., Nisar M.A., Köping L., Grzegorzek M.
Comparison of Feature Learning Methods for Human Activity Recognition Using Wearable Sensors.
Sensors (Basel, Switzerland), 18, 2, 2018
Abstract
Hahn C., Handels H., Nitschke M., Melchert U., Pöppl S.J.
Comparison of FMRI Data Analysis Techniques
In: 4. International Conference on Functional Mapping of the Human Brain, Montreal, Journal NeuroImage, Academic Press, 7, 598, 1998
Ehrhardt J., Jacob F., Handels H., Frydrychowicz A.
Comparison of Post-hoc Normalization Approaches for CT-based Lung Emphysema Index Quantification
In: Tolxdorff T., Deserno T.M., Handels H., Meinzer H.-P. (eds.), Bildverarbeitung für die Medizin 2016, Berlin, Informatik aktuell, Springer, Berlin Heidelberg, 44-49, 2016
Hufnagel H., Ehrhardt J., Pennec X., Ayache N., Handels H.
Comparison of Statistical Shape Models Built on Correspondence Probabilities and One-to-One Correspondences
In: Reinhardt J.M., Pluim P.W. (eds.), SPIE Medical Imaging 2008, Image Processing, San Diego, Vol. 6914, 4T1-4T9, 2008
PDF
Strenge P., Lange B., Grill C., Draxinger W., Danicke V., Theisen-Kunde D., Handels H., Bonsanto M.M., Hagel C., Huber R. et al.
Comparison of two optical coherence tomography systems to identify human brain tumor
In: Optical Coherence Imaging Techniques and Imaging in Scattering Media IV, Online Only, Germany, SPIE, 20, 2021
Zhang J., Li C., Rahaman M.M., Yao Y., Ma P., Zhang J., Zhao X., Jiang T., Grzegorzek M.
A Comprehensive Review of Image Analysis Methods for Microorganism Counting: From Classical Image Processing to Deep Learning Approaches
Artificial Intelligence Review, Springer, 2021
Schlitzke M., Wendlandt R., Sitzer A., Handels H.
Compressive Behavior and Isotropy of Short-Fiber-Filled Epoxy Cylinders as Alternative Test Material for Cortical Bone
In: Buzug T.M., Birngruber R., Botterweck H., Brinkmann R., Gehring H., Handels H., Hellbrück H., Hübner C., Hüttmann G., Klein S. et al. (eds.), Student Conference 2014, Medical Engineering Science, Lübeck, 79-82, 2014
Hufnagel H., Pennec X., Ehrhardt J., Ayache N., Handels H.
Computation of a Probabilistic Statistical Shape Model in a Maximum-a-Posteriori Framework
Methods of Information in Medicine, 48, 4, 314-319, 2009
Ehrhardt J., Klinder T., Lorenz C.
Computational Motion Phantoms and Statistical Models of Respiratory Motion
In: Ehrhardt J., Lorenz C. (eds.), 4D Modeling and Estimation of Respiratory Motion for Radiation Therapy, Biological and Medical Physics, Biomedical Engineering, Springer, Berlin Heidelberg, 215-247, 2013
Roßmanith C., Handels H., Pöppl S.J., Rinast E., Weiss H.-D.
Computer Assisted Diagnosis of Brain Tumors using Fractals, Texture and Morphological Image Analysis
In: Lemke H., Inamura K., Jaffe C.C., Vannier M.W. (eds.), Computer Assisted Radiology, CAR '95, Berlin, Springer Verlag, 375-380, 1995
Ehrhardt J., Handels H., Wegner T., Strathmann B., Plötz W., Pöppl S.J.
Computer Assisted Orthopaedic Surgery: 3D-Planning of Hip Operations and Atlas based Preprocessing for the Computer-Assisted Construction of Individually Adapted Endoprostheses
In: 5th Germany-Korea Joint Workshop on Advanced Medical Image Processing, Seoul, South Korea, Ewha Womans University, 2001
Handels H., Schößler T., Ehrhardt J., Pöppl S.J.
Computer Supported Cooperative 3D-Teleimaging in Java
In: Buzug T., Handels H., Holz D. (eds.), Telemedicine - Medicine and Communication, Kluwer Academic/PlenumPublishers, 3-12, 2001
Handels H., Hahn C., Miehe J., Will A., Bernades P., Busch C., Kühn V., Rinast E., Putzar H., Rösler K.
Computer Supported Cooperative Work and Image Analysis in Teleradiology
In: Lemke H., Inamura K., Jaffe C.C., Vannier M.W. (eds.), Computer Assisted Radiology, CAR '95, Berlin, Springer Verlag, 754-758, 1995
Khan M.H., Helsper J., Farid M.S., Grzegorzek M.
A computer vision-based system for monitoring Vojta therapy.
International journal of medical informatics, 113, 85-95, 2018
Abstract
Forkert N.D., Illies T., Goebell E., Fiehler J., Säring D., Handels H.
Computer-Aided Nidus Segmentation and Angiographic Characterization of Arteriovenous Malformations
International Journal of Computer Assisted Radiology and Surgery, 8, 775-786, 2013
Säring D., Ehrhardt J., Stork A., Bansmann P.M., Lund G.K., Handels H.
Computer-Assisted Analysis of 4D Cardiac MR Image Sequences after Myocardial Infarction
Methods of information in medicine, 45, 4, 377-83, 2006
Abstract
Handels H., Ehrhardt J., Plötz W., Pöppl S.J.
Computer-Assisted Planning and Simulation of Hip Operations using Virtual Three-Dimensional Models
In: Kokol P., Zupan B., Stare J., Premik M., Engelbrecht R. (eds.), Medical Informatics Europe, MIE 99, Lubljana, IOS Press, Amsterdam, 686-689, 1999
Handels H., Ehrhardt J., Plötz W., Pöppl S.J.
Computer-assisted planning and simulation of hip operations using virtual three-dimensional models.
Studies in health technology and informatics, 68, 686-9, 1999
Abstract
Handels H., Ehrhardt J., Peters P., Plötz W., Pöppl S.J.
Computer-Assisted Planning of Hip Operations and Design of Endoprotheses using Virtual Three-Dimensional Models
In: Lemke H.U., Vannier M.W., Inamura K., Farman A.G. (eds.), Computer Assisted Radiology and Surgery, CARS 99, Paris, Elsevier Science B.V., 726-730, 1999

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