MIDL 2021

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

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Wilms M., Krüger J., Ehrhardt J., Bischof A., Barkhausen J., Handels H.
Mammo3D - Automatic Determination of Corresponding Structures in 2D/3D Image Data of the Female Breast for Multimodal Breast Cancer Diagnosis
In: 15th Korea-Germany Workshop on Advanced Medical Image Analysis and Cognition-Guided Surgery, Ajou University, Suwon, Korea, 30, 2014
Wilms M., Handels H., Ehrhardt J.
Learning of Representative Multi-Resolution Multi-Object Statistical Shape Models from Small Training Populations
In: Maier-Hein K.H., Deserno T.M., Handels H., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2017, Heidelberg, Informatik aktuell, Springer Vieweg, Berlin Heidelberg, 359-360, 2017
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., Handels H., Ehrhardt J.
Multi-resolution multi-object statistical shape models based on the locality assumption.
Medical image analysis, 38, 17-29, 2017
Abstract PDF
Wilms M., Krüger J., Marx M., Ehrhardt J., Bischof A., Handels H.
Estimation of corresponding locations in ipsilateral mammograms: a comparison of different methods
In: Hadjiiski L.M., Tourassi G.D. (eds.), SPIE Medical Imaging 2015: Computer-Aided Diagnosis, Orlando, Florida, United States, SPIE, 9414, 94142B, 2015
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Wilms M., Ehrhardt J., Handels H.
A 4D Statistical Shape Model for Automated Segmentation of Lungs with Large Tumors
In: Ayache N., Delingette H., Golland P., Moriet K. (eds.), 15th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, Nizza, Frankreich, Springer, Berlin, Part II, LNCS 7511, 347-354, 2012
Wilms M., Werner R., Yamamoto T., Handels H., Ehrhardt J.
Population-based Correspondence Models for Respiratory Motion Estimation in the Presence of Interfraction Motion Variations
In: Imaging and Computer Assistance in Radiation Therapy, ICART 2015, 18th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, München, 81-88, 2015
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Wilms M., Handels H., Ehrhardt J.
Patch-Based Learning of Shape, Appearance, and Motion Models from Few Training Samples by Low-Rank Matrix Completion
In: Maier-Hein K.H., Deserno T.M., Handels H., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2017, Heidelberg, Informatik aktuell, Springer Vieweg, Berlin Heidelberg, 215-216, 2017
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., Schlemmer H.-P., Handels H.
Multivariate Regression Approaches for Surrogate-based Diffeomorphic Estimation of Respiratory Motion in Radiation Therapy
Physics in Medicine and Biology, 59, 1147-1164, 2014
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Wilms M., Ehrhardt J., Handels H.
Modellbasierte 4D-Segmentierung von Lungen mit großen Tumoren in räumlich-zeitlichen CT-Bildfolgen
In: Goltz U., Magnor M., Matthies H., Balke W.T., Wolf L. (eds.), Informatik 2012, Lecture Notes in Informatics, Braunschweig, 1764-1773, 2012
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
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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
Wilms M., Ha I.Y., Handels H., Heinrich M.P.
Model-based Regularisation for Respiratory Motion Estimation with Sparse Features in Image-guided Interventions
In: Ourselin S., Joskowicz L., Sabuncu M.R., Unal G., Wells W. (eds.), 19th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2016, Athen, Image Processing, Computer Vision, Pattern Recognition, and Graphics, Springer International Publishing, 9902, 89-97, 2016
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Wilms M., Ehrhardt J., Handels H.
Automatische Segmentierung der Lungenflügel in CT-Daten
In: Handels H., Ehrhardt J., Deserno T.M., Meinzer H.-P., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2011, Informatik aktuell, Lübeck, Springer Berlin Heidelberg, 119-123, 2011
Wilms M., Fortmeier D., Mastmeyer A., Handels H.
Modellbasierte Simulation der Atembewegung für das Virtual-Reality-Training von Punktionseingriffen
In: Handels H., Deserno T.M., Meinzer H.-P., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2015, Lübeck, Informatik aktuell, Springer, Berlin Heidelberg, 317-322, 2015
Wilms M., Handels H., Ehrhardt J.
Representative Patch-based Active Appearance Models Generated From Small Training Populations
In: Descoteaux M., et al (eds.), 20th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2017, Quebec, Springer, Part I, LNCS 10433, 152-160, 2017
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Werner R., Wilms M., Cheng B., Forkert N.D.
Beyond Cost Function Masking: RPCA-based Non-linear Registration in the Context of VLSM
In: 6th International Workshop on Pattern Recognition in Neuroimaging (PRNI) 2016, Trento - Italy, 2016
Werner R., Wilms M., Ehrhardt J., Schmidt-Richberg A., Blendowski M., Handels H.
A Diffeomorphic MLR Framework for Surrogate-Based Motion Estimation and Situation-Adapted Dose Accumulation
In: Birkfellner W., Mcclelland J., Rit S., Schlaefer A. (eds.), MICCAI Workshop on Image-Guidance and Multimodal Dose Planning in Radiation Therapy, MICCAI 2012, Nizza, Frankreich, 42-49, 2012
Werner R., Schetelig D., Sothmann T., Mücke E., Wilms M., Cheng B., Forkert N.D.
Low Rank and Sparse Matrix Decomposition as Stroke Segmentation Prior: Useful or Not? A Random Forest-Based Evaluation Study
In: Maier-Hein K.H., Deserno T.M., Handels H., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2017, Heidelberg, Informatik aktuell, Springer Vieweg, Berlin Heidelberg, 161-166, 2017
Werner R., Gauer T., Petersen C., Wilms M., Handels H.
Respiratory Motion and its Variability in Lung and Liver SBRT: DVH Analysis Exploiting 4DCT-Based Dose Accumulation
In: 2nd ESTRO Forum 2013 of the European Society for Radiotherapy and Oncology, Geneva, Switzerland, Radiotherapy and Oncology, 106 (Suppl. 2), S166-S167, 2013
Werner R., Wilms M., Schmidt-Richberg A., Ehrhardt J., Gauer T., Petersen C., Handels H.
Incorporation of Surrogate-Based Information about Breathing Motion Variations into 4D Dose Calculation: Concept and First Result
In: 43. Jahrestagung der Deutschen Gesellschaft für Medizinische Physik (DGMP), Jena, 390-393, 2012
Werner R., Ehrhardt J., Schmidt-Richberg A., Wilms M., Blendowski M., Handels H.
A Diffeomorphic Framework for Surrogate-based Motion Estimation in Radiation Therapy: Concept and First Evaluation
In: Goltz U., Magnor M., Matthies H., Balke W.T., Wolf L. (eds.), Informatik 2012, Lecture Notes in Informatics, Braunschweig, 1774-1782, 2012
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Uzunova H., Kruse J., Kaftan P., Wilms M., Forkert N.D., Handels H., Ehrhardt J.
Analysis of Generative Shape Modeling Approaches
In: Palm C., Deserno T.M., Handels H., Maier A., Maier-Hein K., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2021, Wiesbaden, Informatik Aktuell, Springer Fachmedien Wiesbaden, 344-349, 2021
Uzunova H., Kaftan P., Wilms M., Forkert N.D., Handels H., Ehrhardt J.
Quantitative Comparison of Generative Shape Models for Medical Images
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, 201-207, 2020
Uzunova H., Wilms M., Handels H., Ehrhardt J.
Training CNNs for Image Registration from Few Samples with Model-based Data Augmentation
In: Descoteaux M., et al (eds.), 20th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2017, Quebec, Springer, Part I, LNCS 10433, 223-231, 2017
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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
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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
Sothmann T., Gauer T., Wilms M., Werner R.
Correspondence model-based 4D VMAT dose simulation for analysis of local metastasis recurrence after extracranial SBRT.
Physics in medicine and biology, 62, 23, 9001-9017, 2017
Abstract
Schmidt-Richberg A., Ehrhardt J., Wilms M., Werner R., Handels H.
Evaluation of Algorithms for Lung Fissure Segmentation in CT Images
In: Tolxdorff T., Deserno T.M., Handels H., Meinzer H.-P. (eds.), Bildverarbeitung für die Medizin 2012, Informatik aktuell, Berlin, Springer, Berlin Heidelberg, 201-206, 2012
Schmidt-Richberg A., Ehrhardt J., Wilms M., Werner R., Handels H.
Pulmonary Lobe Segmentation with Level Sets
In: Image Processing, SPIE Medical Imaging 2012, San Diego, California, USA, SPIE, 8314, 83142V1-83142V8, 2012
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Rajashekar D., Wilms M., MacDonald E.M., Ehrhardt J., Mouches P., Frayne R., Hill M.D., Forkert N.D.
High-resolution T2-FLAIR and non-contrast CT brain atlas of the elderly
Scientific Data, 7, 56, 2020
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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
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
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Mücke E., Werner R., Wilms M., Handels H., Gauer T.
Acquisition of respiratory signals and generation of visual realtime biofeedback using structured IR light surface scanning
In: Buzug T.M., Handels H. (eds.), Student Conference 2016, Medical Engineering Science and Medical Informatics, Lübeck, Infinite Science Publishing, 155-158, 2016
Mastmeyer A., Wilms M., Handels H.
Populationsbasierte 4D Bewegungsatlanten für VR Simulationen
In: Maier A., Deserno T.M., Handels H., Maier-Hein K.H., Palm C., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2018, Erlangen, Informatik aktuell, Springer Vieweg, Berlin Heidelberg, 200, 2018
Mastmeyer A., Wilms M., Handels H.
Population-based Respiratory 4D Motion Atlas Construction and its Application for VR Simulations of Liver Punctures
In: Angelini E.D. (ed.), SPIE Medical Imaging 2018: Image Processing, Houston, Texas, United States, SPIE, 10574, 1057417-1-1057417-7, 2018
Mastmeyer A., Wilms M., Handels H.
Interpatient Respiratory Motion Model Transfer for Virtual Reality Simulations of Liver Punctures
Journal of World Society of Computer Graphics - WSCG, 25(1), 1-10, 2017
Mastmeyer A., Wilms M., Fortmeier D., Schröder J., Handels H.
Real-Time Ultrasound Simulation for Training of US-Guided Needle Insertion in Breathing Virtual Patients.
Studies in health technology and informatics, 220, 219-26, 2016
Abstract
Mastmeyer A., Wilms M., Handels H.
Interpatientenübertragung von Atemmodellen für das Virtual-Reality-Training von Punktionseingriffen
In: Maier-Hein K.H., Deserno T.M., Handels H., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2017, Heidelberg, Informatik aktuell, Springer Vieweg, Berlin Heidelberg, 340-345, 2017
Maier O., Wilms M., von der Gablentz J., Krämer U.M., Münte T.F., Handels H.
Extra Tree forests for sub-acute ischemic stroke lesion segmentation in MR sequences
Journal of Neuroscience Methods, 240, 89-100, 2015
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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
Maier O., Menze B.H., von der Gablentz J., Häni L., Heinrich M.P., Liebrand M., Winzeck S., Basit A., Bentley P., Chen L. et al.
ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI
Medical Image Analysis, 35, 250-269, 2017
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Maier O., Wilms M., von der Gablentz J., Krämer U., Handels H.
Ischemic Stroke Lesion Segmentation in Multi-Spectral MR Images with Support Vector Machine Classifiers
In: Aylward S., Hadjiiski L.M. (eds.), SPIE Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, California, USA, SPIE, 9035, 903504-903504-12, 2014
Maier O., Wilms M., Handels H.
Image Features for Brain Lesion Segmentation Using Random Forests
In: Crimi A., Menze B., Maier O., Reyes M., Handels H. (eds.), Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries (Brainles 2015), München, Lecture Notes in Computer Science, Springer International Publishing, 9556, 119-130, 2016
Maier O., Wilms M., Handels H.
Random Forests with Selected Features for Stroke Lesion Segmentation
In: MICCAI Challenge on Ischemic Stroke Lesion Segmentation, ISLES 2015, 18th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, München, 17-22, 2015
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Heinrich M.P., Wilms M., Handels H.
Multi-Atlas Segmentation using Patch-Based Joint Label Fusion with Non-Negative Least Squares Regression
In: MICCAI Workshop on Patch-based Techniques in Medical Imaging, Patch-MI 2015, 18th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, München, Lecture Notes in Computer Science, LNCS Vol. 9467, 146-153, 2015
Handels H., Ehrhardt J., Wilms M.
4D Medial Image Computing and Model-based Estimation of Respiratory Motion in Image-guided Radiation Therapy
In: 15th Korea-Germany Workshop on Advanced Medical Image Analysis and Cognition-Guided Surgery, Ajou University, Suwon, Korea, 19, 2014
Ha I.Y., Wilms M., Handels H., Heinrich M.P.
Model-based Sparse-to-dense Image Registration for Realtime Respiratory Motion Estimation in Image-guided Interventions
IEEE Transactions on Biomedical Engineering, 66, 2, 302-310, 2019
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