Mattias P. Heinrich

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 162

Top Venues

CoRR

Bildverarbeitung für die Medizin

Medical Imaging: Image Processing

Medical Image Anal.

Publications

Lasse Hansen, Jürgen Lichtenstein, Mattias P. Heinrich
Displacement Representation for Conditional Point Cloud Registration - HeatReg Applied to 2D/3D Freehand Ultrasound Reconstruction. Bildverarbeitung für die Medizin (2024)
Christian Weihsbach, Nora Vogt, Ziad Al-Haj Hemidi, Alexander Bigalke, Lasse Hansen, Julien Oster, Mattias P. Heinrich
AcquisitionFocus: Joint Optimization of Acquisition Orientation and Cardiac Volume Reconstruction Using Deep Learning. Sensors 24 (7) (2024)
Ron Keuth, Mattias P. Heinrich
Combining Image- and Geometric-based Deep Learning for Shape Regression - Comparison to Pixel-level Methods for Segmentation in Chest X-ray. Bildverarbeitung für die Medizin (2024)
Niklas Hermes, Alexander Bigalke, Mattias P. Heinrich
Incorporating Temporal Information into 3D Hand Pose Estimation Using Scene Flow. VISIGRAPP (4): VISAPP (2024)
Ron Keuth, Lasse Hansen, Maren Balks, Ronja Jäger, Anne-Nele Schröder, Ludger Tüshaus, Mattias P. Heinrich
DenseSeg: Joint Learning for Semantic Segmentation and Landmark Detection Using Dense Image-to-Shape Representation. CoRR (2024)
Eytan Kats, Jochen G. Hirsch, Mattias P. Heinrich
Self-supervised Learning of Dense Hierarchical Representations for Medical Image Segmentation. CoRR (2024)
Mattias P. Heinrich, Alexander Bigalke, Christoph Großbröhmer, Lasse Hansen
Abstract: Advancing Large-scale Deformable 3D Registration with Differentiable Volumetric Rasterisation of Point Clouds - Chasing Clouds. Bildverarbeitung für die Medizin (2024)
Paul Kaftan, Mattias P. Heinrich, Lasse Hansen, Volker Rasche, Hans A. Kestler, Alexander Bigalke
Abstracting Volumetric Medical Images with Sparse Keypoints for Efficient Geometric Segmentation of Lung Fissures with a Graph CNN. Bildverarbeitung für die Medizin (2024)
Ziad Al-Haj Hemidi, Christian Weihsbach, Mattias P. Heinrich
IM-MoCo: Self-supervised MRI Motion Correction using Motion-Guided Implicit Neural Representations. CoRR (2024)
Fenja Falta, Christoph Großbröhmer, Alessa Hering, Alexander Bigalke, Mattias P. Heinrich
Abstract: Combined 3D Dataset for CT- and Point Cloud-based Intra-patient Lung Registration Lung250M-4B. Bildverarbeitung für die Medizin (2024)
Fenja Falta, Mattias P. Heinrich, Marian Himstedt
Addressing the Bias of the Dice Coefficient - Semantic Segmentation of Peripheral Airways in Lung CT. Bildverarbeitung für die Medizin (2024)
Ron Keuth, Mattias P. Heinrich
Combining Image- and Geometric-based Deep Learning for Shape Regression: A Comparison to Pixel-level Methods for Segmentation in Chest X-Ray. CoRR (2024)
Ron Keuth, Mattias P. Heinrich, Martin Eichenlaub, Marian Himstedt
Airway label prediction in video bronchoscopy: capturing temporal dependencies utilizing anatomical knowledge. Int. J. Comput. Assist. Radiol. Surg. 19 (4) (2024)
Leonard Siegert, Paul Fischer, Mattias P. Heinrich, Christian F. Baumgartner
PULPo: Probabilistic Unsupervised Laplacian Pyramid Registration. CoRR (2024)
Alexander Bigalke, Lasse Hansen, Jasper Diesel, Carlotta Hennigs, Philipp Rostalski, Mattias P. Heinrich
Anatomy-guided domain adaptation for 3D in-bed human pose estimation. Medical Image Anal. 89 (2023)
Fenja Falta, Christoph Großbröhmer, Alessa Hering, Alexander Bigalke, Mattias P. Heinrich
Lung250M-4B: A Combined 3D Dataset for CT- and Point Cloud-Based Intra-Patient Lung Registration. NeurIPS (2023)
Alexander Bigalke, Lasse Hansen, Tony C. W. Mok, Mattias P. Heinrich
Unsupervised 3D registration through optimization-guided cyclical self-training. CoRR (2023)
Kumar T. Rajamani, Priya Rani, Hanna Siebert, Elagiri Ramalingam Rajkumar, Mattias P. Heinrich
Attention-augmented U-Net (AA-U-Net) for semantic segmentation. Signal Image Video Process. 17 (4) (2023)
Christoph Großbröhmer, Luisa Bartram, Corinna Rheinbay, Mattias P. Heinrich, Ludger Tüshaus
Leveraging Semantic Information for Sonographic Wrist Fracture Assessment Within Children. Bildverarbeitung für die Medizin (2023)
Niklas Hermes, Alexander Bigalke, Mattias P. Heinrich
Point cloud-based scene flow estimation on realistically deformable objects: A benchmark of deep learning-based methods. J. Vis. Commun. Image Represent. 95 (2023)
Mattias P. Heinrich, Alexander Bigalke, Christoph Großbröhmer, Lasse Hansen
Chasing clouds: Differentiable volumetric rasterisation of point clouds as a highly efficient and accurate loss for large-scale deformable 3D registration. ICCV (2023)
Reuben Dorent, Aaron Kujawa, Marina Ivory, Spyridon Bakas, Nicola Rieke, Samuel Joutard, Ben Glocker, Jorge Cardoso, Marc Modat, Kayhan Batmanghelich, Arseniy Belkov, Maria G. Baldeon Calisto, Jae Won Choi, Benoit M. Dawant, Hexin Dong, Sergio Escalera, Yubo Fan, Lasse Hansen, Mattias P. Heinrich, Smriti Joshi, Victoriya Kashtanova, Hyeongyu Kim, Satoshi Kondo, Christian N. Kruse, Susana K. Lai-Yuen, Hao Li, Han Liu, Buntheng Ly, Ipek Oguz, Hyungseob Shin, Boris Shirokikh, Zixian Su, Guotai Wang, Jianghao Wu, Yanwu Xu, Kai Yao, Li Zhang, Sébastien Ourselin, Jonathan Shapey, Tom Vercauteren
CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation. Medical Image Anal. 83 (2023)
Alexander Bigalke, Mattias P. Heinrich
A Denoised Mean Teacher for Domain Adaptive Point Cloud Registration. MICCAI (10) (2023)
Christoph Großbröhmer, Mattias P. Heinrich
Generalised 3D Medical Image Registration with Learned Shape Encodings. MIUA (2023)
Alexander Bigalke, Lasse Hansen, Tony C. W. Mok, Mattias P. Heinrich
Unsupervised 3D Registration Through Optimization-Guided Cyclical Self-training. MICCAI (10) (2023)
Ron Keuth, Mattias P. Heinrich, Martin Eichenlaub, Marian Himstedt
Weakly supervised airway orifice segmentation in video bronchoscopy. Medical Imaging: Image Processing (2023)
Alexander Bigalke, Mattias P. Heinrich
A denoised Mean Teacher for domain adaptive point cloud registration. CoRR (2023)
Mattias P. Heinrich, Hanna Siebert, Laura Graf, Sven Mischkewitz, Lasse Hansen
Robust and Realtime Large Deformation Ultrasound Registration Using End-to-End Differentiable Displacement Optimisation. Sensors 23 (6) (2023)
Hellena Hempe, Alexander Bigalke, Mattias P. Heinrich
Shape Matters: Detecting Vertebral Fractures Using Differentiable Point-Based Shape Decoding. CoRR (2023)
Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, A. Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, Jonathan Rafael-Patino, Vivek Singh Bawa, Stefanie Speidel, Carole H. Sudre, Kimberlin M. H. van Wijnen, M. Wagner, D. Wei, Amine Yamlahi, Moi Hoon Yap, C. Yuan, Maximilian Zenk, A. Zia, David Zimmerer, Dogu Baran Aydogan, B. Bhattarai, Louise Bloch, Raphael Brüngel, J. Cho, C. Choi, Q. Dou, Ivan Ezhov, Christoph M. Friedrich, C. Fuller, Rebati Raman Gaire, Adrian Galdran, Álvaro García-Faura, Maria Grammatikopoulou, S. Hong, Mostafa Jahanifar, I. Jang, Abdolrahim Kadkhodamohammadi, I. Kang, Florian Kofler, S. Kondo, Hugo Jaco Kuijf, M. Li, M. Luu, Tomaz Martincic, P. Morais, M. A. Naser, B. Oliveira, D. Owen, S. Pang, J. Park, S. Park, S. Plotka, Élodie Puybareau, Nasir M. Rajpoot, K. Ryu, N. Saeed, Adam Shephard, P. Shi, Dejan Stepec, Ronast Subedi, Guillaume Tochon, Helena R. Torres, Hélène Urien, João L. Vilaça, Kareem A. Wahid, H. Wang, J. Wang, L. Wang, X. Wang, Benedikt Wiestler, Marek Wodzinski, F. Xia, J. Xie, Z. Xiong, S. Yang, Y. Yang, Z. Zhao, Klaus H. Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein
Why is the Winner the Best? CVPR (2023)
Christian Weihsbach, Christian N. Kruse, Alexander Bigalke, Mattias P. Heinrich
DG-TTA: Out-of-domain medical image segmentation through Domain Generalization and Test-Time Adaptation. CoRR (2023)
Ziad Al-Haj Hemidi, Nora Vogt, Lucile Quillien, Christian Weihsbach, Mattias P. Heinrich, Julien Oster
CineJENSE: Simultaneous Cine MRI Image Reconstruction and Sensitivity Map Estimation Using Neural Representations. STACOM@MICCAI (2023)
Laura F. Graf, Hanna Siebert, Sven Mischkewitz, Ron Keuth, Mattias P. Heinrich
Highly accurate deep registration networks for large deformation estimation in compression ultrasound. Medical Imaging: Image Processing (2023)
Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Pew-Thian Yap, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Jens Sjölund, Daniel Grzech, Huaqi Qiu, Zeju Li, Alexander Thorley, Jinming Duan, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Nikolas Lessmann, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich
Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning. IEEE Trans. Medical Imaging 42 (3) (2023)
Ron Keuth, Mattias P. Heinrich, Martin Eichenlaub, Marian Himstedt
Airway Label Prediction in Video Bronchoscopy: Capturing Temporal Dependencies Utilizing Anatomical Knowledge. CoRR (2023)
Mona Schumacher, Hanna Siebert, Ragnar Bade, Andreas Genz, Mattias P. Heinrich
Weak Bounding Box Supervision for Image Registration Networks. WBIR (2022)
Fenja Falta, Lasse Hansen, Mattias P. Heinrich
Learning Iterative Optimisation for Deformable Image Registration of Lung CT with Recurrent Convolutional Networks. MICCAI (6) (2022)
Reuben Dorent, Aaron Kujawa, Marina Ivory, Spyridon Bakas, Nicola Rieke, Samuel Joutard, Ben Glocker, Jorge Cardoso, Marc Modat, Kayhan Batmanghelich, Arseniy Belkov, Maria G. Baldeon Calisto, Jae Won Choi, Benoit M. Dawant, Hexin Dong, Sergio Escalera, Yubo Fan, Lasse Hansen, Mattias P. Heinrich, Smriti Joshi, Victoriya Kashtanova, Hyeongyu Kim, Satoshi Kondo, Christian N. Kruse, Susana K. Lai-Yuen, Hao Li, Han Liu, Buntheng Ly, Ipek Oguz, Hyungseob Shin, Boris Shirokikh, Zixian Su, Guotai Wang, Jianghao Wu, Yanwu Xu, Kai Yao, Li Zhang, Sébastien Ourselin, Jonathan Shapey, Tom Vercauteren
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation. CoRR (2022)
Mona Schumacher, Ragnar Bade, Andreas Genz, Mattias P. Heinrich
Iterative 3D CNN Based Segmentation of Vascular Trees in Liver CT. Bildverarbeitung für die Medizin (2022)
Mattias P. Heinrich, Lasse Hansen
Voxelmorph++ - Going Beyond the Cranial Vault with Keypoint Supervision and Multi-channel Instance Optimisation. WBIR (2022)
Abhishek Dinkar Jagtap, Mattias P. Heinrich, Marian Himstedt
Automatic Generation of Synthetic Colonoscopy Videos for Domain Randomization. CoRR (2022)
Ho Hin Lee, Yucheng Tang, Shunxing Bao, Yan Xu, Qi Yang, Xin Yu, Agnes B. Fogo, Raymond Harris, Mark P. de Caestecker, Jeffrey M. Spraggins, Mattias P. Heinrich, Yuankai Huo, Bennett A. Landman
Supervised deep generation of high-resolution arterial phase computed tomography kidney substructure atlas. Medical Imaging: Image Processing (2022)
Alexander Bigalke, Lasse Hansen, Jasper Diesel, Carlotta Hennigs, Philipp Rostalski, Mattias P. Heinrich
Anatomy-guided domain adaptation for 3D in-bed human pose estimation. CoRR (2022)
Till Nicke, Laura Graf, Mikko Lauri, Sven Mischkewitz, Simone Frintrop, Mattias P. Heinrich
Realtime Optical Flow Estimation on Vein and Artery Ultrasound Sequences Based on Knowledge-Distillation. WBIR (2022)
Hellena Hempe, Mattias P. Heinrich
Abstract: Light-weight Semantic Segmentation and Labelling of Vertebrae in 3D-CT Scans. Bildverarbeitung für die Medizin (2022)
Alexander Bigalke, Lasse Hansen, Jasper Diesel, Mattias P. Heinrich
Domain adaptation through anatomical constraints for 3d human pose estimation under the cover. MIDL (2022)
Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Patrick Godau, Veronika Cheplygina, Michal Kozubek, Sharib Ali, Anubha Gupta, Jan Kybic, Alison Noble, Carlos Ortiz-de-Solórzano, Samiksha Pachade, Caroline Petitjean, Daniel Sage, Donglai Wei, Elizabeth Wilden, Deepak Alapatt, Vincent Andrearczyk, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Vivek Singh Bawa, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Jinwook Choi, Olivier Commowick, Marie Daum, Adrien Depeursinge, Reuben Dorent, Jan Egger, Hannah Eichhorn, Sandy Engelhardt, Melanie Ganz, Gabriel Girard, Lasse Hansen, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Hyunjeong Kim, Bennett A. Landman, Hongwei Bran Li, Jianning Li, Jun Ma, Anne L. Martel, et al.
Biomedical image analysis competitions: The state of current participation practice. CoRR (2022)
Laura Graf, Sven Mischkewitz, Lasse Hansen, Mattias P. Heinrich
Spatiotemporal Attention for Realtime Segmentation of Corrupted Sequential Ultrasound Data - Improving Usability of AI-based Image Guidance. Bildverarbeitung für die Medizin (2022)
Christian Weihsbach, Alexander Bigalke, Christian N. Kruse, Hellena Hempe, Mattias P. Heinrich
DeepSTAPLE: Learning to Predict Multimodal Registration Quality for Unsupervised Domain Adaptation. WBIR (2022)
Niklas Hermes, Lasse Hansen, Alexander Bigalke, Mattias P. Heinrich
Support Point Sets for Improving Contactless Interaction in Geometric Learning for Hand Pose Estimation. Bildverarbeitung für die Medizin (2022)
Ron Keuth, Mattias P. Heinrich, Martin Eichenlaub, Marian Himstedt
Weakly Supervised Airway Orifice Segmentation in Video Bronchoscopy. CoRR (2022)
Ho Hin Lee, Yucheng Tang, Kaiwen Xu, Shunxing Bao, Agnes B. Fogo, Raymond Harris, Mark P. de Caestecker, Mattias P. Heinrich, Jeffrey M. Spraggins, Yuankai Huo, Bennett A. Landman
Multi-contrast computed tomography healthy kidney atlas. Comput. Biol. Medicine 146 (2022)
Hanna Siebert, Marian Himstedt, Mattias P. Heinrich
Learn2Trust: A video and streamlit-based educational programme for AI-based medical image analysis targeted towards medical students. CoRR (2022)
Alexander Bigalke, Lasse Hansen, Mattias P. Heinrich
Adapting the Mean Teacher for keypoint-based lung registration under geometric domain shifts. CoRR (2022)
Pullalarevu Karthik, Mansi Parashar, S. Sofana Reka, Kumar T. Rajamani, Mattias P. Heinrich
Semantic segmentation for plant phenotyping using advanced deep learning pipelines. Multim. Tools Appl. 81 (3) (2022)
Alexander Bigalke, Lasse Hansen, Mattias P. Heinrich
Adapting the Mean Teacher for Keypoint-Based Lung Registration Under Geometric Domain Shifts. MICCAI (6) (2022)
Mattias P. Heinrich, Lasse Hansen
Voxelmorph++ Going beyond the cranial vault with keypoint supervision and multi-channel instance optimisation. CoRR (2022)
Fenja Falta, Lasse Hansen, Marian Himstedt, Mattias P. Heinrich
Learning an Airway Atlas from Lung CT Using Semantic Inter-patient Deformable Registration. Bildverarbeitung für die Medizin (2022)
Hanna Siebert, Mattias P. Heinrich
Learn to Fuse Input Features for Large-Deformation Registration with Differentiable Convex-Discrete Optimisation. WBIR (2022)
Christoph Großbröhmer, Hanna Siebert, Lasse Hansen, Mattias P. Heinrich
Employing ConvexAdam for BraTS-Reg. BrainLes@MICCAI (2022)
Hellena Hempe, Eren Bora Yilmaz, Carsten Meyer, Mattias P. Heinrich
Opportunistic CT screening for degenerative deformities and osteoporotic fractures with 3D DeepLab. Medical Imaging: Image Processing (2022)
Christian N. Kruse, Mattias P. Heinrich
Bridging the domain gap for medical image segmentation with multimodal MIND features. Medical Imaging: Image Processing (2022)
Hanna Siebert, Lasse Hansen, Mattias P. Heinrich
Learning a Metric for Multimodal Medical Image Registration without Supervision Based on Cycle Constraints. Sensors 22 (3) (2022)
Christian Weihsbach, Lasse Hansen, Mattias P. Heinrich
XEdgeConv: Leveraging graph convolutions for efficient, permutation- and rotation-invariant dense 3D medical image segmentation. GeoMedIA (2022)
In Young Ha, Mattias P. Heinrich
Modality-agnostic self-supervised deep feature learning and fast instance optimisation for multimodal fusion in ultrasound-guided interventions. Comput. Methods Programs Biomed. 211 (2021)
Lasse Hansen, Mattias P. Heinrich
GraphRegNet: Deep Graph Regularisation Networks on Sparse Keypoints for Dense Registration of 3D Lung CTs. IEEE Trans. Medical Imaging 40 (9) (2021)
Alexander Bigalke, Lasse Hansen, Mattias P. Heinrich
End-to-end Learning of Body Weight Prediction from Point Clouds with Basis Point Sets. Bildverarbeitung für die Medizin (2021)
Lasse Hansen, Mattias P. Heinrich
Abstract: Probabilistic Dense Displacement Networks for Medical Image Registration - Contributions to the Learn2Reg Challenge. Bildverarbeitung für die Medizin (2021)
Hanna Siebert, Kumar T. Rajamani, Mattias P. Heinrich
Learning inverse consistent 3D groupwise registration with deforming autoencoders. Medical Imaging: Image Processing (2021)
Max Blendowski, Lasse Hansen, Mattias P. Heinrich
Weakly-supervised learning of multi-modal features for regularised iterative descent in 3D image registration. Medical Image Anal. 67 (2021)
Mona Schumacher, Daniela Frey, In Young Ha, Ragnar Bade, Andreas Genz, Mattias P. Heinrich
Semantically Guided 3D Abdominal Image Registration with Deep Pyramid Feature Learning. Bildverarbeitung für die Medizin (2021)
Lasse Hansen, Mattias P. Heinrich
Deep learning based geometric registration for medical images: How accurate can we get without visual features? CoRR (2021)
Prateek Gupta, Hanna Siebert, Mattias P. Heinrich, Kumar T. Rajamani
DA-AR-Net: an attentive activation based Deformable auto-encoder for group-wise registration. Medical Imaging: Image Processing (2021)
Hanna Siebert, Lasse Hansen, Mattias P. Heinrich
Fast 3D Registration with Accurate Optimisation and Little Learning for Learn2Reg 2021. MIDOG/MOOD/Learn2Reg@MICCAI (2021)
Lasse Hansen, Mattias P. Heinrich
Revisiting Iterative Highly Efficient Optimisation Schemes in Medical Image Registration. MICCAI (4) (2021)
Alexander Bigalke, Lasse Hansen, Jasper Diesel, Mattias P. Heinrich
Seeing under the cover with a 3D U-Net: point cloud-based weight estimation of covered patients. Int. J. Comput. Assist. Radiol. Surg. 16 (12) (2021)
Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Huaqi Qiu, Zeju Li, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning. CoRR (2021)
Ho Hin Lee, Yucheng Tang, Kaiwen Xu, Shunxing Bao, Agnes B. Fogo, Raymond Harris, Mark P. de Caestecker, Mattias P. Heinrich, Jeffrey M. Spraggins, Yuankai Huo, Bennett A. Landman
Construction of a multi-phase contrast computed tomography kidney atlas. Medical Imaging: Image Processing (2021)
Hanna Siebert, Lasse Hansen, Mattias P. Heinrich
Evaluating Design Choices for Deep Learning Registration Networks - Architecture Matters. Bildverarbeitung für die Medizin (2021)
Christian N. Kruse, Lasse Hansen, Mattias P. Heinrich
Multi-modal Unsupervised Domain Adaptation for Deformable Registration Based on Maximum Classifier Discrepancy. Bildverarbeitung für die Medizin (2021)
Bernhard Kainz, Mattias P. Heinrich, Antonios Makropoulos, Jonas Oppenheimer, Ramin Mandegaran, Shrinivasan Sankar, Christopher Deane, Sven Mischkewitz, Fouad Al-Noor, Andrew C. Rawdin, Andreas Ruttloff, Matthew D. Stevenson, Peter Klein-Weigel, Nicola S. Curry
Non-invasive diagnosis of deep vein thrombosis from ultrasound imaging with machine learning. npj Digit. Medicine 4 (2021)
Kumar T. Rajamani, Hanna Siebert, Mattias P. Heinrich
Dynamic deformable attention network (DDANet) for COVID-19 lesions semantic segmentation. J. Biomed. Informatics 119 (2021)
Alexander Bigalke, Mattias P. Heinrich
Fusing Posture and Position Representations for Point Cloud-Based Hand Gesture Recognition. 3DV (2021)
Kaiwen Xu, Riqiang Gao, Mirza S. Khan, Shunxing Bao, Yucheng Tang, Steve Deppen, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Mattias P. Heinrich, Bennett A. Landman
Development and characterization of a chest CT atlas. Medical Imaging: Image Processing (2021)
Lasse Hansen, Mattias P. Heinrich
Deep Learning Based Geometric Registration for Medical Images: How Accurate Can We Get Without Visual Features? IPMI (2021)
Hanna Siebert, Lasse Hansen, Mattias P. Heinrich
Fast 3D registration with accurate optimisation and little learning for Learn2Reg 2021. CoRR (2021)
Lasse Hansen, Mattias P. Heinrich
Tackling the Problem of Large Deformations in Deep Learning Based Medical Image Registration Using Displacement Embeddings. CoRR (2020)
Ron Keuth, Lasse Hansen, Mattias P. Heinrich
Der Einfluss von Segmentierung auf die Genauigkeit eines CNN-Klassifikators zur Mimik-Steuerung. Bildverarbeitung für die Medizin (2020)
Kaiwen Xu, Riqiang Gao, Mirza S. Khan, Shunxing Bao, Yucheng Tang, Steve A. Deppen, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Mattias P. Heinrich, Bennett A. Landman
Development and Characterization of a Chest CT Atlas. CoRR (2020)
Ho Hin Lee, Yucheng Tang, Kaiwen Xu, Shunxing Bao, Agnes B. Fogo, Raymond Harris, Mark P. de Caestecker, Mattias P. Heinrich, Jeffrey M. Spraggins, Yuankai Huo, Bennett A. Landman
Multi-Contrast Computed Tomography Healthy Kidney Atlas. CoRR (2020)
Yiming Xiao, Andreas Maier, Wolfgang Wein, Roozbeh Shams, Samuel Kadoury, David Drobny, Marc Modat, Ingerid Reinertsen, Hassan Rivaz, Matthieu Chabanas, Maryse Fortin, Inês Machado, Yangming Ou, Mattias P. Heinrich, Julia A. Schnabel, Xia Zhong
Evaluation of MRI to Ultrasound Registration Methods for Brain Shift Correction: The CuRIOUS2018 Challenge. IEEE Trans. Medical Imaging 39 (3) (2020)
Max Blendowski, Nassim Bouteldja, Mattias P. Heinrich
Multimodal 3D medical image registration guided by shape encoder-decoder networks. Int. J. Comput. Assist. Radiol. Surg. 15 (2) (2020)
Mattias P. Heinrich, Lasse Hansen
Unsupervised learning of multimodal image registration using domain adaptation with projected Earth Move's discrepancies. CoRR (2020)
Timo Kepp, Helge Sudkamp, Claus von der Burchard, Hendrik Schenke, Peter Koch, Gereon Hüttmann, Johann Roider, Mattias P. Heinrich, Heinz Handels
Segmentation of Retinal Low-Cost Optical Coherence Tomography Images using Deep Learning. CoRR (2020)
Timo Kepp, Helge Sudkamp, Claus von der Burchard, Hendrik Schenke, Peter Koch, Gereon Hüttmann, Johann Roider, Mattias P. Heinrich, Heinz Handels
Abstract: Segmentation of Retinal Low-Cost Optical Coherence Tomography Images Using Deep Learning. Bildverarbeitung für die Medizin (2020)
Maximilian Blendowski, Mattias P. Heinrich
Abstract: Self-Supervised 3D Context Feature Learning on Unlabeled Volume Data. Bildverarbeitung für die Medizin (2020)
Max Blendowski, Mattias P. Heinrich
Learning to map between ferns with differentiable binary embedding networks. CoRR (2020)
Lasse Hansen, Maximilian Blendowski, Mattias P. Heinrich
Abstract: Defence of Mathematical Models for Deep Learning based Registration. Bildverarbeitung für die Medizin (2020)
Timo Kepp, Helge Sudkamp, Claus von der Burchard, Hendrik Schenke, Peter Koch, Gereon Hüttmann, Johann Roider, Mattias P. Heinrich, Heinz Handels
Segmentation of retinal low-cost optical coherence tomography images using deep learning. Medical Imaging: Computer-Aided Diagnosis (2020)
Hanna Siebert, Mattias P. Heinrich
Deep Groupwise Registration of MRI Using Deforming Autoencoders. Bildverarbeitung für die Medizin (2020)

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Mattias P. Heinrich