MIDL 2021

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

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In Press
Blendowski M., Heinrich M.P.
Learning Interpretable Multi-modal Features for Alignment with Supervised Iterative Descent
In: MIDL 2019, Proceedings of Machine Learning Research, 102, In Press
2020
Bartram L., Dedersen B., Heinrich M.P.
Development of a Deep Learning based classification of respirator masks for a mobile application
In: Buzug T.M., Handels H., Klein S., Mertins A. (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 193-196, 2020
Blendowski M., Bouteldja N., Heinrich M.P.
Multimodal 3D medical image registration guided by shape encoder–decoder networks
International Journal of Computer Assisted Radiology and Surgery, 15, 269-276, 2020
Blendowski M., Heinrich M.P.
Self-Supervised 3D Context Feature Learning on Unlabeled Volume Data
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, 192, 2020
Boudnik L., Hochreiter J., Müllegger G., Heinrich M.P.
Removal of ECG artifacts caused by mechanical CPR using externally recorded compression markers
In: Buzug T.M., Handels H., Klein S., Mertins A. (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 323-326, 2020
Buzug T.M., Handels H., Klein S., Mertins A. (eds.)
Student Conference Proceedings 2020: 9th Conference on Medical Engineering Science and 5th Conference on Medical Informatics and 3rd Conference on Biomedical Engineering and 2nd Conference on Auditory Technology
Infinite Science Publishing, Lübeck, 2020
Gillner M.L., Hansen L., Heinrich M.P.
Fast Pulmonary Fissure Detection in CT Scans using Deep Learning on Point Clouds
In: Buzug T.M., Handels H., Klein S., Mertins A. (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 201-204, 2020
Großbröhmer C., Blendowski M., Heinrich M.P.
Efficient Self-Supervised Context Learning on MRI data
In: Buzug T.M., Handels H., Klein S., Mertins A. (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 189-192, 2020
Hansen L., Blendowski M., Heinrich M.P.
Defence of Mathematical Models for Deep Learning based Registration
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, 32, 2020
Herrmann S., Schneider D., Mrongowius J., Heinrich M.P.
Aortic Detection in Image Sequences of Electrical Impedance Tomography
In: Buzug T.M., Handels H., Klein S., Mertins A. (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 335-338, 2020
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
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
Keuth R., Hansen L., Heinrich M.P.
Der Einfluss von Segmentierung auf die Genauigkeit eines CNN-Klassifikators zur Mimik-Steuerung
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, 294-300, 2020
Lucas C., Aulmann L.F., Kemmling A., Mamlouk A.M., Heinrich M.P.
Estimation of the Principal Ischaemic Stroke Growth Directions for Predicting Tissue Outcomes
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, 143, 2020
Rüttgers S., Hocke J., Heinrich M.P.
Automatic segmentation of prostate zones in MRI data using different variants of the U-Net
In: Buzug T.M., Handels H., Klein S., Mertins A. (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 169-172, 2020
Siebert H., Heinrich M.P.
Deep Groupwise Registration of MRI Using Deforming Autoencoders
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, 236-241, 2020
Sirocko J., Diesel J., Heinrich M.P.
Frequency based detection of regions of interest in videodata to estimate human breathing frequency
In: Buzug T.M., Handels H., Klein S., Mertins A. (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 177-180, 2020
2019
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
Bouteldja N., Merhof D., Ehrhardt J., Heinrich M.P.
Deep Multi-Modal Encoder-Decoder Networks for Shape Constrained Segmentation and Joint Representation Learning
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, 23-28, 2019
Buzug T.M., Handels H., Klein S., Mertins A. (eds.)
Student Conference Proceedings 2019: 8th Conference on Medical Engineering Science and 4th Conference on Medical Informatics and 2nd Conference on Biomedical Engineering and 1st Conference on Auditory Technology
Infinite Science Publishing, Lübeck, 2019
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
PDF
Hagenah J., Heinrich M.P., Ernst F.
Deep Transfer Learning for Aortic Root Dilation Identification in 3D Ultrasound Images
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, 198, 2019
Hansen L., Diesel J., Heinrich M.P.
Regularized Landmark Detection with CAEs for Human Pose Estimation in the Operating Room
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, 178-183, 2019
Hering A., Kuckertz S., Heldmann S., Heinrich M.P.
Enhancing Label-Driven Deep Deformable Image Registration with Local Distance Metrics for State-of-the-Art Cardiac Motion Tracking
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, 309-314, 2019
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., Ehrhardt J., Heinrich M.P., Hüttmann G., Handels H.
Topology-Preserving Shape-Based Regression of Retinal Layers in OCT Image Data Using Convolutional Neural Networks
In: IEEE International Symposium on Biomedical Imaging, ISBI 2019, Venedig, Italien, 1437-1440, 2019
PDF
Lucas C., Schöttler J.J., Kemmling A., Aulmann L.F., Heinrich M.P.
Automatic Detection and Segmentation of the Acute Vessel Thrombus in Cerebral CT
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, 74-79, 2019
2018
Blendowski M., Heinrich M.P.
3D-CNNs for Deep Binary Descriptor Learning in Medical Volume Data
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, 23-28, 2018
Bouteldja N., Heinrich M.P.
Deep 3D Encoder-Decoder Networks with Applications to Organ Segmentation
In: Buzug T.M., Handels H., Klein S. (eds.), Student Conference 2018, Medical Engineering Science, Medical Informatics and Biomediacal Engineering, Lübeck, Infinite Science Publishing, 229-232, 2018
Buzug T.M., Handels H., Klein S. (eds.)
Student Conference Proceedings 2018: 7th Conference on Medical Engineering Science and 3rd Conference on Medical Informatics and 1st Conference on Biomedical Engineering
Infinite Science Publishing, Lübeck, 2018
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
Heinrich M.P., Oktay O.
Exploring Sparsity in CNNs for Medical Image Segmentation BRIEFnet
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, 40-41, 2018
Heinrich M.P., Blendowski M., Oktay O.
TernaryNet: Faster Deep Model Inference without GPUs for Medical 3D Segmentation using Sparse and Binary Convolutions
International Journal of Computer Assisted Radiology and Surgery, 13, 9, 1311-1320, 2018
Laule D., Diesel J., Heinrich M.P.
Occlusion Estimation in 3D Point Clouds using Visual Data from Home Care Scenarios
In: Buzug T.M., Handels H., Klein S. (eds.), Student Conference 2018, Medical Engineering Science, Medical Informatics and Biomediacal Engineering, Lübeck, Infinite Science Publishing, 185-188, 2018
Lucas C., Kemmling A., Bouteldja N., Aulmann L.F., Madany Mamlouk A., Heinrich M.P.
Learning to Predict Ischemic Stroke Growth on Acute CT Perfusion Data by Interpolating Low-Dimensional Shape Representations
Frontiers in Neurology, 9, 989, 2018
Lucas C., Kemmling A., Madany Mamlouk A., Heinrich M.P.
Multi-scale neural network for automatic segmentation of ischemic strokes on acute perfusion images
In: 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), Washington, DC, IEEE, 1118-1121, 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
Sambale M., Heinrich M.P., Sciretti D., Trujillo N.
Low-Rank Mask R-CNN
In: Buzug T.M., Handels H., Klein S. (eds.), Student Conference 2018, Medical Engineering Science, Medical Informatics and Biomediacal Engineering, Lübeck, Infinite Science Publishing, 193-196, 2018
Weller D., Hansen L., Blendowski M., Heinrich M.P.
Transferring a Deep Cityscape Synthesis Approach to the Medical Domain
In: Buzug T.M., Handels H., Klein S. (eds.), Student Conference 2018, Medical Engineering Science, Medical Informatics and Biomediacal Engineering, Lübeck, Infinite Science Publishing, 91-94, 2018
Wessel J., Heinrich M.P.
Multiple Landmark Localization in medical CT Scans using Deep Neural Networks with Heatmap Regression
In: Buzug T.M., Handels H., Klein S. (eds.), Student Conference 2018, Medical Engineering Science, Medical Informatics and Biomediacal Engineering, Lübeck, Infinite Science Publishing, 197-200, 2018
Winzeck S., Hakim A., McKinley R., Pinto J.A.A.D.S.R., Alves V., Silva C., Pisov M., Krivov E., Belyaev M., Monteiro M. et al.
ISLES 2016 and 2017-Benchmarking Ischemic Stroke Lesion Outcome Prediction Based on Multispectral MRI
Frontiers in Neurology, 9, 679, 2018
Zantop K., Kartalis N., Heinrich M.P., Moreno R.
Influence of Affine Image Registration on the Calculation of Diffusion Properties with a Kurtosis Model in Diffusion Weighted Imaging
In: Buzug T.M., Handels H., Klein S. (eds.), Student Conference 2018, Medical Engineering Science, Medical Informatics and Biomediacal Engineering, Lübeck, Infinite Science Publishing, 217-220, 2018
2017
Blendowski M., Heinrich M.P.
Kombination binärer Kontextfeatures mit Vantage Point Forests zur Multi-Organ-Segmentierung
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, 24-24, 2017
Buzug T.M., Handels H. (eds.)
Student Conference Proceedings 2017: 6th Conference on Medical Engineering Science and 2nd Conference on Medical Informatics
Infinite Science Publishing, Lübeck, 2017
Ha I.Y., Wilms M., Heinrich M.P.
Multi-object segmentation in chest X-ray using cascaded regression ferns
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, 254-259, 2017
Heinrich M.P., Oktay O.
BRIEFnet: Deep Pancreas Segmentation Using Binary Sparse Convolutions
In: International Conference on Medical Image Computing and Computer-Assisted Intervention, Springer, Cham, 329-337, 2017
PDF
Heinrich M.P., Oster J.
MRI Whole Heart Segmentation using Discrete Nonlinear Registration and Fast Non-Local Fusion
In: International Workshop on Statistical Atlases and Computational Modeling of the Heart, Springer, Cham, 233-241, 2017
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
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
PDF
Mollink J., Kleinnijenhuis M., vanvan Walsum A.-M.C., Sotiropoulos S.N., Cottaar M., Mirfin C., Heinrich M.P., Jenkinson M., Pallebage-Gamarallage M., Ansorge O. et al.
Evaluating fibre orientation dispersion in white matter: Comparison of diffusion MRI, histology and polarized light imaging
NeuroImage, Academic Press, 157, 561-574, 2017

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