Publikationen | Institute of Medical Informatics

MIDL 2021

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

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2022

Buzug T.M., Handels H., Klein S., Hübner C., Mertins A., Rostalski P. (eds.)
Student Conference Proceedings 2022: 11th C. on Medical Engineering Science and 7th C. on Medical Informatics and 5th C. on Biomedical Engineering and 4th C. on Auditory Technology and 2nd C. on Biophysics and 2nd C. on Robotics and Autonomous Systems
Infinite Science Publishing, Lübeck, 2022

Falta F., Hansen L., Himstedt M., Heinrich M.P.
Learning an airway atlas from lung CT using semantic inter-patient deformable registration
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, 75-80, 2022

Graf L., Mischkewitz S., Hansen L., Heinrich M.P.
Spatiotemporal Attention for Realtime Segmentation of Corrupted Sequential Ultrasound Data
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, 235-240, 2022

Hempe H., Heinrich M.P.
Abstract: Light-weight semantic segmentation and labelling of vertebrae in 3D-CT scans
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, 19, 2022

Hempe H., Yilmaz E.B., Meyer C., Heinrich M.P.
Opportunistic CT screening for degenerative deformities and osteoporotic fractures with 3D DeepLab
In: Proc. SPIE 12032, Medical Imaging 2022: Image Processing, San Diego, United States, SPIE, 17, 2022

Hermes N., Hansen L., Bigalke A., Heinrich M.P.
Support Point Sets for Improving Contactless Interaction in Geometric Learning for Hand Pose Estimation
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, 89-94, 2022

Jagtap A.D., Himstedt M., Heinrich M.P.
Automatic Generation of Synthetic Data for Domain Randomization and Adaptation
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, 137-140, 2022

Kannath Kalam S., Weihsbach C., Heinrich M.P.
Revisiting the Iterative Image Registration Technique deeds in terms of Speed Performance
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, 467-470, 2022

Keuth R., Bigalke A., Heinrich M.P.
Pose-Based Control in Real-World Robotic Application
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, 315-318, 2022

Kondeti R.R., Himstedt M., Heinrich M.P.
Monocular Depth Estimation for Bronchoscopic Navigation
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, 471-474, 2022

Koser N.C., Hempe H., Heinrich M.P.
Analysis of the impact of super-resolution on medical CT-Scans for classification and segmentation
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, 235-238, 2022

Schumacher M., Bade R., Genz A., Heinrich M.P.
Iterative 3D CNN based Segmentation of Vascular Trees in Liver CT
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, 7-12, 2022

2021

Benecke S., Frischke M., Diesel J., Heinrich M.P.
Improvement of Machine Learning Algorithms for Object Detection
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, 325-328, 2021

Bigalke A., Hansen L., Heinrich M.P.
End-to-end learning of body weight prediction from point clouds with basis point sets
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, 254-259, 2021

Blendowski M., Hansen L., Heinrich M.P.
Weakly-supervised learning of multi-modal features for regularised iterative descent in 3D image registration
Medical Image Analysis, 67, 101822, 2021

Buzug T.M., Handels H., Klein S., Hübner C., Mertins A., Rostalski P. (eds.)
Student Conference Proceedings 2021: 10th C. on Medical Engineering Science and 6th C. on Medical Informatics and 4th C. on Biomedical Engineering and 3rd C. on Auditory Technology and 1st C. on Biophysics and 1st C. on Robotics and Autonomous Systems
Infinite Science Publishing, Lübeck, 2021

Chenzhang L., Heinrich M.P.
FlowNet application for 3D image registration
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, 291-294, 2021

Hansen L., Heinrich M.P.
Probabilistic Dense Displacement Networks for Medical Image Registration - Contributions to the Learn2Reg challenge
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, 125-126, 2021

Kruse C., Hansen L., Heinrich M.P.
Multi-modal Unsupervised Domain Adaptation for Deformable Registration Based on Maximum Classifier Discrepancy
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, 192-197, 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

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

Siebert H., Hansen L., Heinrich M.P.
Evaluating Design Choices for Deep Learning Registration Networks - Architecture Matters
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, 111-116, 2021

Siebert H., Rajamani K.T., Heinrich M.P.
Learning inverse consistent 3D groupwise registration with deforming autoencoders
In: SPIE Medical Imaging 2021, SPIE, 2021

Zamnius D., Heinrich M.P., Lukas S., Siebert H.
Intertemporal Slice-to-Volume matching in Cardiac CT Perfusion Imaging
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, 267-270, 2021

Zhibin X., Heinrich M.P.
Deep learning-based image registration for voxel-based morphometry
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, 275-278, 2021

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., Heinrich M.P.
Learning to map between ferns with differentiable binary embedding networks
In: International Conference on Medical Imaging with Deep Learning, PMLR, 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

Ha I.Y., Wilms M., Heinrich M.P.
Semantically Guided Large Deformation Estimation with Deep Networks
Sensors, 20, 5, 1392, 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

Heinrich M.P., Hansen L.
Highly Accurate and Memory Efficient Unsupervised Learning-Based Discrete CT Registration Using 2.5D Displacement Search
In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, Cham, Springer, 12263, 190-200, 2020

Heinrich M.P., Papież B.W.
Image registration with sliding motion
In: Handbook of Medical Image Computing and Computer Assisted Intervention, The Elsevier and MICCAI Society Book Series, 293-318, 2020

Heinrich M.P., Hansen L.
Unsupervised learning of multimodal image registration using domain adaptation with projected Earth Mover’s discrepancies
In: International Conference on Medical Imaging with Deep Learning, 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

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

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: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. BrainLes 2019, 69-79, 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

Schumacher M., Genz A., Heinrich M.P.
Weakly supervised pancreas segmentation based on class activation maps
In: SPIE Medical Imaging 2020: Image Processing, Houston, United States, 11313, 1131314, 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

Blendowski M., Heinrich M.P.
Learning Interpretable Multi-modal Features for Alignment with Supervised Iterative Descent
In: International Conference on Medical Imaging with Deep Learning, PMLR, 102, 73-83, 2019

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