Filters: Author is Heinrich, Mattias P. [Clear All Filters]
Learning Interpretable Multi-modal Features for Alignment with Supervised Iterative Descent
In: MIDL 2019, Proceedings of Machine Learning Research, 102, In Press
Development of a Deep Learning based classification of respirator masks for a mobile application
In: (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 193-196, 2020
Multimodal 3D medical image registration guided by shape encoder–decoder networks
International Journal of Computer Assisted Radiology and Surgery, 15, 269-276, 2020
Self-Supervised 3D Context Feature Learning on Unlabeled Volume Data
In: (eds.), Bildverarbeitung für die Medizin 2020, Berlin, Informatik aktuell, Springer Vieweg, Wiesbaden, 192, 2020
Removal of ECG artifacts caused by mechanical CPR using externally recorded compression markers
In: (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 323-326, 2020
Fast Pulmonary Fissure Detection in CT Scans using Deep Learning on Point Clouds
In: (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 201-204, 2020
Efficient Self-Supervised Context Learning on MRI data
In: (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 189-192, 2020
Defence of Mathematical Models for Deep Learning based Registration
In: (eds.), Bildverarbeitung für die Medizin 2020, Berlin, Informatik aktuell, Springer Vieweg, Wiesbaden, 32, 2020
Aortic Detection in Image Sequences of Electrical Impedance Tomography
In: (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 335-338, 2020
Segmentation of Retinal Low-Cost Optical Coherence Tomography Images Using Deep Learning
In: (eds.), Bildverarbeitung für die Medizin 2020, Berlin, Informatik aktuell, Springer Vieweg, Wiesbaden, 183, 2020
Segmentation of Retinal Low-Cost Optical Coherence Tomography Images using Deep Learning
In: SPIE Medical Imaging 2020, Houston, USA, 2020
Der Einfluss von Segmentierung auf die Genauigkeit eines CNN-Klassifikators zur Mimik-Steuerung
In: (eds.), Bildverarbeitung für die Medizin 2020, Berlin, Informatik aktuell, Springer Vieweg, Wiesbaden, 294-300, 2020
Estimation of the Principal Ischaemic Stroke Growth Directions for Predicting Tissue Outcomes
In: (eds.), Bildverarbeitung für die Medizin 2020, Berlin, Informatik aktuell, Springer Vieweg, Wiesbaden, 143, 2020
Automatic segmentation of prostate zones in MRI data using different variants of the U-Net
In: (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 169-172, 2020
Deep Groupwise Registration of MRI Using Deforming Autoencoders
In: (eds.), Bildverarbeitung für die Medizin 2020, Berlin, Informatik aktuell, Springer Vieweg, Wiesbaden, 236-241, 2020
Frequency based detection of regions of interest in videodata to estimate human breathing frequency
In: (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 177-180, 2020
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
Deep Multi-Modal Encoder-Decoder Networks for Shape Constrained Segmentation and Joint Representation Learning
In: (eds.), Bildverarbeitung für die Medizin 2019, Lübeck, Informatik aktuell, Springer Vieweg, Wiesbaden, 23-28, 2019
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

Deep Transfer Learning for Aortic Root Dilation Identification in 3D Ultrasound Images
In: (eds.), Bildverarbeitung für die Medizin 2019, Lübeck, Informatik aktuell, Springer Vieweg, Wiesbaden, 198, 2019
Regularized Landmark Detection with CAEs for Human Pose Estimation in the Operating Room
In: (eds.), Bildverarbeitung für die Medizin 2019, Lübeck, Informatik aktuell, Springer Vieweg, Wiesbaden, 178-183, 2019
Enhancing Label-Driven Deep Deformable Image Registration with Local Distance Metrics for State-of-the-Art Cardiac Motion Tracking
In: (eds.), Bildverarbeitung für die Medizin 2019, Lübeck, Informatik aktuell, Springer Vieweg, Wiesbaden, 309-314, 2019
Segmentation of Mouse Skin Layers in Optical Coherence Tomography Image Data using Deep Convolutional Neural Networks
Biomedical Optics Express, 10, 7, 3484-3496, 2019
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

Automatic Detection and Segmentation of the Acute Vessel Thrombus in Cerebral CT
In: (eds.), Bildverarbeitung für die Medizin 2019, Lübeck, Informatik aktuell, Springer Vieweg, Wiesbaden, 74-79, 2019
3D-CNNs for Deep Binary Descriptor Learning in Medical Volume Data
In: (eds.), Bildverarbeitung für die Medizin 2018, Erlangen, Informatik aktuell, Springer Vieweg, Berlin, Heidelberg, 23-28, 2018
Deep 3D Encoder-Decoder Networks with Applications to Organ Segmentation
In: (eds.), Student Conference 2018, Medical Engineering Science, Medical Informatics and Biomediacal Engineering, Lübeck, Infinite Science Publishing, 229-232, 2018
Classification of axial CT Images using Deep Learning for determining a Standard Coordinate System
In: (eds.), Student Conference 2018, Medical Engineering Science, Medical Informatics and Biomediacal Engineering, Lübeck, Infinite Science Publishing, 247-250, 2018
Exploring Sparsity in CNNs for Medical Image Segmentation BRIEFnet
In: (eds.), Bildverarbeitung für die Medizin 2018, Erlangen, Informatik aktuell, Springer Vieweg, Berlin Heidelberg, 40-41, 2018
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
Occlusion Estimation in 3D Point Clouds using Visual Data from Home Care Scenarios
In: (eds.), Student Conference 2018, Medical Engineering Science, Medical Informatics and Biomediacal Engineering, Lübeck, Infinite Science Publishing, 185-188, 2018
Learning to Predict Ischemic Stroke Growth on Acute CT Perfusion Data by Interpolating Low-Dimensional Shape Representations
Frontiers in Neurology, 9, 989, 2018
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
Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation
IEEE Transactions on Medical Imaging, 37, 2, 384-395, 2018
Low-Rank Mask R-CNN
In: (eds.), Student Conference 2018, Medical Engineering Science, Medical Informatics and Biomediacal Engineering, Lübeck, Infinite Science Publishing, 193-196, 2018
Transferring a Deep Cityscape Synthesis Approach to the Medical Domain
In: (eds.), Student Conference 2018, Medical Engineering Science, Medical Informatics and Biomediacal Engineering, Lübeck, Infinite Science Publishing, 91-94, 2018
Multiple Landmark Localization in medical CT Scans using Deep Neural Networks with Heatmap Regression
In: (eds.), Student Conference 2018, Medical Engineering Science, Medical Informatics and Biomediacal Engineering, Lübeck, Infinite Science Publishing, 197-200, 2018
ISLES 2016 and 2017-Benchmarking Ischemic Stroke Lesion Outcome Prediction Based on Multispectral MRI
Frontiers in Neurology, 9, 679, 2018
Influence of Affine Image Registration on the Calculation of Diffusion Properties with a Kurtosis Model in Diffusion Weighted Imaging
In: (eds.), Student Conference 2018, Medical Engineering Science, Medical Informatics and Biomediacal Engineering, Lübeck, Infinite Science Publishing, 217-220, 2018
Kombination binärer Kontextfeatures mit Vantage Point Forests zur Multi-Organ-Segmentierung
In: (eds.), Bildverarbeitung für die Medizin 2017, Heidelberg, Informatik aktuell, Springer Vieweg, Berlin Heidelberg, 24-24, 2017
Student Conference Proceedings 2017: 6th Conference on Medical Engineering Science and 2nd Conference on Medical Informatics
Infinite Science Publishing, Lübeck, 2017
Multi-object segmentation in chest X-ray using cascaded regression ferns
In: (eds.), Bildverarbeitung in der Medizin 2017, Heidelberg, Informatik aktuell, Springer Vieweg, Berlin Heidelberg, 254-259, 2017
BRIEFnet: Deep Pancreas Segmentation Using Binary Sparse Convolutions
In: International Conference on Medical Image Computing and Computer-Assisted Intervention, Springer, Cham, 329-337, 2017

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
Shallow fully-connected neural networks for ischemic stroke-lesion segmentation in MRI
In: (eds.), Bildverarbeitung in der Medizin 2017, Heidelberg, Informatik aktuell, Springer Vieweg, Berlin Heidelberg, 261-266, 2017
ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI
Medical Image Analysis, 35, 250-269, 2017

Evaluating fibre orientation dispersion in white matter: Comparison of diffusion MRI, histology and polarized light imaging
NeuroImage, Academic Press, 157, 561-574, 2017