Filters: Author is Heinrich, Mattias P. [Clear All Filters]
Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge
Medical Image Analysis, 58, 101537, 2019
Deep learning-based image registration for voxel-based morphometry
In: (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
Propagation of landmarks with a registration graph
In: (eds.), Student Conference 2017, Medical Engineering Science and Medical Informatics, Lübeck, Infinite Science Publishing, 209-212, 2017
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
Intertemporal Slice-to-Volume matching in Cardiac CT Perfusion Imaging
In: (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
Evaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CT.
IEEE transactions on bio-medical engineering, 63, 8, 1563-72, 2016
Evaluation of MRI to Ultrasound Registration Methods for Brain Shift Correction: The CuRIOUS2018 Challenge
IEEE Transactions on Medical Imaging, 39, 3, 777-786, 2019
ISLES 2016 and 2017-Benchmarking Ischemic Stroke Lesion Outcome Prediction Based on Multispectral MRI
Frontiers in Neurology, 9, 679, 2018
Model-based Regularisation for Respiratory Motion Estimation with Sparse Features in Image-guided Interventions
In: (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

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
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
Deep learning for spinal centerline extraction
In: (eds.), Student Conference 2017, Medical Engineering Science and Medical Informatics, Lübeck, Infinite Science Publishing, 229-232, 2017
AutoDVT: Joint Real-Time Classification for Vein Compressibility Analysis in Deep Vein Thrombosis Ultrasound Diagnostics
In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2018, LNCS, 11071, 905-912, 2018
Simulated Monochromatic X-ray Images by Forward Projection Utilizing the Lambert-Beer Law
In: (eds.), Student Conference 2017, Medical Engineering Science and Medical Informatics, Lübeck, Infinite Science Publishing, 285-288, 2017
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
Evaluating Design Choices for Deep Learning Registration Networks - Architecture Matters
In: (eds.), Bildverarbeitung für die Medizin 2021, Regensburg, Informatik aktuell, Springer Vieweg, Wiesbaden, 111-116, 2021
Learning inverse consistent 3D groupwise registration with deforming autoencoders
In: SPIE Medical Imaging 2021, SPIE, 2021
Deep Groupwise Registration of MRI Using Deforming Autoencoders
In: (eds.), Bildverarbeitung für die Medizin 2020, Berlin, Informatik aktuell, Springer Vieweg, Wiesbaden, 236-241, 2020
Human Pose Estimation with Hourglass Network and Convolutional Autoencoder
In: (eds.), Student Conference 2019, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 141-144, 2019
Semantically Guided 3D Abdominal Image Registration with Deep Pyramid Feature Learning
In: (eds.), Bildverarbeitung für die Medizin 2021, Regensburg, Informatik aktuell, Springer Vieweg, Wiesbaden, 16-21, 2021
Iterative 3D CNN based Segmentation of Vascular Trees in Liver CT
In: (eds.), Bildverarbeitung für die Medizin 2022, Heidelberg, Informatik Aktuell, Springer Vieweg, Wiesbaden, 7-12, 2022
Weakly supervised pancreas segmentation based on class activation maps
In: SPIE Medical Imaging 2020: Image Processing, Houston, United States, 11313, 1131314, 2020
Evaluation of medical image registration algorithms on pulmonary inhale and exhale CT scans
In: (eds.), Student Conference 2016, Medical Engineering Science and Medical Informatics, Lübeck, Infinite Science Publishing, 191-194, 2016
Advances and challenges in deformable image registration: From image fusion to complex motion modelling
Medical Image Analysis, Elsevier, 33, 145-148, 2016
Attention gated networks: Learning to leverage salient regions in medical images
Medical Image Analysis, 53, 197-207, 2019
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
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
Enabling on-Demand Features for Decision Forests - An Approach to Lesion Segmentation in MR Volumes
In: (eds.), Student Conference 2015, Medical Engineering Science, Lübeck, 215-218, 2015
Estimation of Large Motion in Lung CT by Integrating Regularized Keypoint Correspondences into Dense Deformable Registration
IEEE Transactions on Medical Imaging, 1746-1757, 2017
An Efficient Implementation of an Affine Point-based Registration using the Expectation Maximization-ICP in C++
In: (eds.), Student Conference 2015, Medical Engineering Science, Lübeck, 211-214, 2015
Memory Efficient LDDMM for Lung CT
In: 19th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2016, Athen, Springer, 28-36, 2016
Liver Motion Estimation via Locally Adaptive Over-Segmentation Regularization
In: (eds.), 18th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, Munich, Lecture Notes in Computer Science, Springer, Berlin, LNCS Vol. 9351, 427-434, 2015
GIFTed Demons: deformable image registration with local structure-preserving regularization using supervoxels for liver applications
Journal of Medical Imaging, 5, 2, 024001, 2018
An implicit sliding-motion preserving regularisation via bilateral filtering for deformable image registration.
Medical image analysis, 18, 8, 1299-311, 2014
Towards Effective Contrastive Pretraining for Medical Image Segmentation
In: (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
Repiratory Surface Motion Measurement by Microsoft Kinect: Implementation and Evaluation of a clinical Setup
In: (eds.), Student Conference 2015, Medical Engineering Science, Lübeck, 135-138, 2015
Structured Decision Forests For Multi-modal Ultrasound Image Registration
In: (eds.), 18th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, Munich, Lecture Notes in Computer Science, Springer, Berlin, LNCS Vol. 9350, 363-371, 2015
Attention U-Net: Learning Where to Look for the Pancreas
In: Conference on Medical Imaging with Deep Learning (MIDL 2018), 2018
Stratified Decision Forests for Accurate Anatomical Landmark Localization in Cardiac Images
IEEE Transactions on Medical Imaging, IEEE, 36, 1, 332-342, 2017
Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation
IEEE Transactions on Medical Imaging, 37, 2, 384-395, 2018
Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge
IEEE Transactions on Medical Imaging, 30, 11, 1901-1920, 2011
Evaluating fibre orientation dispersion in white matter: Comparison of diffusion MRI, histology and polarized light imaging
NeuroImage, Academic Press, 157, 561-574, 2017
Measurement ans Analysis of the repiration-driven Motion of the Pulmonary Artery
In: (eds.), Student Conference 2015, Medical Engineering Science, Lübeck, 131-134, 2015
ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI
Medical Image Analysis, 35, 250-269, 2017

2D Image Registration for Transforming Segmentation Masks within a Multi-Modal Camera Setup
In: (eds.), Student Conference 2019, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 129-132, 2019
Learning to Predict Ischemic Stroke Growth on Acute CT Perfusion Data by Interpolating Low-Dimensional Shape Representations
Frontiers in Neurology, 9, 989, 2018
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
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
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
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