497 results on '"Heinrich, Mattias P."'
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102. Enhancing Label-Driven Deep Deformable Image Registration with Local Distance Metrics for State-of-the-Art Cardiac Motion Tracking
103. Regularized Landmark Detection with CAEs for Human Pose Estimation in the Operating Room
104. Automatic Detection and Segmentation of the Acute Vessel Thrombus in Cerebral CT
105. Comparing Deep Learning Strategies and Attention Mechanisms of Discrete Registration for Multimodal Image-Guided Interventions
106. How to Learn from Unlabeled Volume Data: Self-supervised 3D Context Feature Learning
107. Multi-kernel Diffusion CNNs for Graph-Based Learning on Point Clouds
108. Multimodal 3D medical image registration guided by shape encoder–decoder networks
109. 3D-CNNs for Deep Binary Descriptor Learning in Medical Volume Data
110. MRI Whole Heart Segmentation Using Discrete Nonlinear Registration and Fast Non-local Fusion
111. Intra-operative Ultrasound to MRI Fusion with a Public Multimodal Discrete Registration Tool
112. AutoDVT: Joint Real-Time Classification for Vein Compressibility Analysis in Deep Vein Thrombosis Ultrasound Diagnostics
113. Hyperparameter optimisation and validation of registration algorithms for measuring regional ventricular deformation using retrospective gated computed tomography images
114. Non-invasive diagnosis of deep vein thrombosis from ultrasound imaging with machine learning
115. Revisiting Iterative Highly Efficient Optimisation Schemes in Medical Image Registration
116. End-to-end Learning of Body Weight Prediction from Point Clouds with Basis Point Sets
117. Abstract: Probabilistic Dense Displacement Networks for Medical Image Registration
118. Evaluating Design Choices for Deep Learning Registration Networks
119. Discrete Unsupervised 3D Registration Methods for the Learn2Reg Challenge
120. Deep Learning Based Geometric Registration for Medical Images: How Accurate Can We Get Without Visual Features?
121. Multi-modal Unsupervised Domain Adaptation for Deformable Registration Based on Maximum Classifier Discrepancy
122. OBELISK-Net: Fewer layers to solve 3D multi-organ segmentation with sparse deformable convolutions
123. Abstract: Probabilistic Dense Displacement Networks for Medical Image Registration : Contributions to the Learn2Reg Challenge
124. AcquisitionFocus: Joint Optimization of Acquisition Orientation and Cardiac Volume Reconstruction Using Deep Learning.
125. Deep Learning for Prediction of Diaphragm Activity from the Surface Electromyogram
126. Highly Accurate and Memory Efficient Unsupervised Learning-Based Discrete CT Registration Using 2.5D Displacement Search
127. Abstract: Defence of Mathematical Models for Deep Learning based Registration
128. Estimation of the Principal Ischaemic Stroke Growth Directions for Predicting Tissue Outcomes
129. Contributors
130. Abstract: Self-Supervised 3D Context Feature Learning on Unlabeled Volume Data
131. Abstract: Segmentation of Retinal Low-Cost Optical Coherence Tomography Images Using Deep Learning
132. Abstract: Estimation of the Principal Ischaemic Stroke Growth Directions for Predicting Tissue Outcomes
133. Image registration with sliding motion
134. Shallow Fully-Connected Neural Networks for Ischemic Stroke-Lesion Segmentation in MRI
135. Multi-Object Segmentation in Chest X-Ray Using Cascaded Regression Ferns
136. BRIEFnet: Deep Pancreas Segmentation Using Binary Sparse Convolutions
137. Fusing information from multiple 2D depth cameras for 3D human pose estimation in the operating room
138. Memory-efficient 2.5D convolutional transformer networks for multi-modal deformable registration with weak label supervision applied to whole-heart CT and MRI scans
139. Combining MRF-based deformable registration and deep binary 3D-CNN descriptors for large lung motion estimation in COPD patients
140. Deep transfer learning for aortic root dilation identification in 3D ultrasound images
141. Residual U-Net Convolutional Neural Network Architecture for Low-Dose CT Denoising
142. Accurate Intervertebral Disc Localisation and Segmentation in MRI Using Vantage Point Hough Forests and Multi-atlas Fusion
143. Memory Efficient LDDMM for Lung CT
144. Multi-organ Segmentation Using Vantage Point Forests and Binary Context Features
145. Evaluating fibre orientation dispersion in white matter: Comparison of diffusion MRI, histology and polarized light imaging
146. ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI
147. Closing the Gap Between Deep and Conventional Image Registration Using Probabilistic Dense Displacement Networks
148. Learning Deformable Point Set Registration with Regularized Dynamic Graph CNNs for Large Lung Motion in COPD Patients
149. Multi-atlas Segmentation Using Patch-Based Joint Label Fusion with Non-Negative Least Squares Regression
150. Liver Motion Estimation via Locally Adaptive Over-Segmentation Regularization
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