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ORCIDMattias P. Heinrich
Mattias Paul Heinrich
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- affiliation: University of Lübeck, Institute of Medical Informatics (IMI), Germany
- affiliation: University of Oxford, Institute of Biomedical Engineering, UK
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2020 – today
- 2024
[j42]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): 713-721 (2024)- [j41]Hellena Hempe, Alexander Bigalke, Mattias Paul Heinrich:
Shape Matters: Detecting Vertebral Fractures Using Differentiable Point-Based Shape Decoding. Inf. 15(2): 120 (2024) - [j40]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): 2296 (2024) - [c114]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: 39-45 - [c113]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: 53 - [c112]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: 60-65 - [c111]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: 72-77 - [c110]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: 101 - [c109]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: 232-236 - [c108]Eytan Kats, Jochen G. Hirsch, Mattias P. Heinrich:
Self-Supervised Learning of Dense Hierarchical Representations for Medical Image Segmentation. ISBI 2024: 1-5 - [c107]Ziad Al-Haj Hemidi, Christian Weihsbach, Mattias P. Heinrich:
IM-MoCo: Self-supervised MRI Motion Correction Using Motion-Guided Implicit Neural Representations. MICCAI (7) 2024: 382-392 - [c106]Leonard Siegert, Paul Fischer, Mattias P. Heinrich, Christian F. Baumgartner:
PULPo: Probabilistic Unsupervised Laplacian Pyramid Registration. MICCAI (2) 2024: 717-727 - [c105]Niklas Hermes, Alexander Bigalke, Mattias P. Heinrich:
Incorporating Temporal Information into 3D Hand Pose Estimation Using Scene Flow. VISIGRAPP (4): VISAPP 2024: 286-294 - [c104]Fenja Falta, Wiebke Heyer, Christoph Großbröhmer, Mattias P. Heinrich:
Unleashing Registration: Diffusion Models for Synthetic Paired 3D Training Data. WBIR 2024: 45-59 - [c103]Alessa Hering, Sarah de Boer, Anindo Saha, Jasper J. Twilt, Mattias P. Heinrich, Derya Yakar, Maarten de Rooij, Henkjan Huisman, Joeran S. Bosma:
Deformable MRI Sequence Registration for AI-Based Prostate Cancer Diagnosis. WBIR 2024: 148-162 - [c102]Christoph Großbröhmer, Ziad Al-Haj Hemidi, Fenja Falta, Mattias P. Heinrich:
SINA: Sharp Implicit Neural Atlases by Joint Optimisation of Representation and Deformation. WBIR 2024: 165-180 - [i38]Eytan Kats, Jochen G. Hirsch, Mattias P. Heinrich:
Self-supervised Learning of Dense Hierarchical Representations for Medical Image Segmentation. CoRR abs/2401.06473 (2024) - [i37]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 abs/2401.07542 (2024) - [i36]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 abs/2405.19746 (2024) - [i35]Ziad Al-Haj Hemidi, Christian Weihsbach, Mattias P. Heinrich:
IM-MoCo: Self-supervised MRI Motion Correction using Motion-Guided Implicit Neural Representations. CoRR abs/2407.02974 (2024) - [i34]Leonard Siegert, Paul Fischer, Mattias P. Heinrich, Christian F. Baumgartner:
PULPo: Probabilistic Unsupervised Laplacian Pyramid Registration. CoRR abs/2407.10567 (2024) - 2023
- [j39]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: 103893 (2023) - [j38]Reuben Dorent, Aaron Kujawa, Marina Ivory, Spyridon Bakas, Nicola Rieke, Samuel Joutard, Ben Glocker, M. 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: 102628 (2023) - [j37]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: 102887 (2023) - [j36]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): 2876 (2023) - [j35]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): 981-989 (2023) - [j34]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): 697-712 (2023) - [c101]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: 102-107 - [c100]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, Martin Wagner, D. Wei, Amine Yamlahi, Moi Hoon Yap, C. Yuan, Maximilian Zenk, A. Zia, David Zimmerer, Dogu Baran Aydogan, Binod 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, Pedro Morais, Mohamed A. Naser, Bruno Oliveira, David Owen, S. Pang, J. Park, S. Park, Szymon Plotka, Élodie Puybareau, Nasir M. Rajpoot, K. Ryu, Numan Saeed, Adam Shephard, Pengcheng 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: 19955-19966 - [c99]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: 7992-8002 - [c98]Alexander Bigalke, Mattias P. Heinrich:
A Denoised Mean Teacher for Domain Adaptive Point Cloud Registration. MICCAI (10) 2023: 666-676 - [c97]Alexander Bigalke, Lasse Hansen, Tony C. W. Mok, Mattias P. Heinrich:
Unsupervised 3D Registration Through Optimization-Guided Cyclical Self-training. MICCAI (10) 2023: 677-687 - [c96]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 - [c95]Ron Keuth, Mattias P. Heinrich, Martin Eichenlaub, Marian Himstedt:
Weakly supervised airway orifice segmentation in video bronchoscopy. Medical Imaging: Image Processing 2023 - [c94]Christoph Großbröhmer, Mattias P. Heinrich:
Generalised 3D Medical Image Registration with Learned Shape Encodings. MIUA 2023: 268-280 - [c93]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 - [c92]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: 467-478 - [i33]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, Ali 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, et al.:
Why is the winner the best? CoRR abs/2303.17719 (2023) - [i32]Alexander Bigalke, Mattias P. Heinrich:
A denoised Mean Teacher for domain adaptive point cloud registration. CoRR abs/2306.14749 (2023) - [i31]Alexander Bigalke, Lasse Hansen, Tony C. W. Mok, Mattias P. Heinrich:
Unsupervised 3D registration through optimization-guided cyclical self-training. CoRR abs/2306.16997 (2023) - [i30]Ron Keuth, Mattias P. Heinrich, Martin Eichenlaub, Marian Himstedt:
Airway Label Prediction in Video Bronchoscopy: Capturing Temporal Dependencies Utilizing Anatomical Knowledge. CoRR abs/2307.08318 (2023) - [i29]Hellena Hempe, Alexander Bigalke, Mattias P. Heinrich:
Shape Matters: Detecting Vertebral Fractures Using Differentiable Point-Based Shape Decoding. CoRR abs/2312.05220 (2023) - [i28]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 abs/2312.06275 (2023) - 2022
- [j33]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: 105555 (2022) - [j32]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): 4535-4547 (2022) - [j31]Hanna Siebert, Lasse Hansen, Mattias P. Heinrich:
Learning a Metric for Multimodal Medical Image Registration without Supervision Based on Cycle Constraints. Sensors 22(3): 1107 (2022) - [c91]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: 7-12 - [c90]Hellena Hempe, Mattias P. Heinrich:
Abstract: Light-weight Semantic Segmentation and Labelling of Vertebrae in 3D-CT Scans. Bildverarbeitung für die Medizin 2022: 19 - [c89]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: 75-80 - [c88]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: 89-94 - [c87]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: 235-240 - [c86]Christoph Großbröhmer, Hanna Siebert, Lasse Hansen, Mattias P. Heinrich:
Employing ConvexAdam for BraTS-Reg. BrainLes@MICCAI 2022: 252-261 - [c85]Christian Weihsbach, Lasse Hansen, Mattias P. Heinrich:
XEdgeConv: Leveraging graph convolutions for efficient, permutation- and rotation-invariant dense 3D medical image segmentation. GeoMedIA 2022: 61-71 - [c84]Alexander Bigalke, Lasse Hansen, Mattias P. Heinrich:
Adapting the Mean Teacher for Keypoint-Based Lung Registration Under Geometric Domain Shifts. MICCAI (6) 2022: 280-290 - [c83]Fenja Falta, Lasse Hansen, Mattias P. Heinrich:
Learning Iterative Optimisation for Deformable Image Registration of Lung CT with Recurrent Convolutional Networks. MICCAI (6) 2022: 301-309 - [c82]Alexander Bigalke, Lasse Hansen, Jasper Diesel, Mattias P. Heinrich:
Domain adaptation through anatomical constraints for 3d human pose estimation under the cover. MIDL 2022: 173-187 - [c81]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 - [c80]Christian N. Kruse, Mattias P. Heinrich:
Bridging the domain gap for medical image segmentation with multimodal MIND features. Medical Imaging: Image Processing 2022 - [c79]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 - [c78]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: 37-46 - [c77]Mattias P. Heinrich, Lasse Hansen:
Voxelmorph++ - Going Beyond the Cranial Vault with Keypoint Supervision and Multi-channel Instance Optimisation. WBIR 2022: 85-95 - [c76]Hanna Siebert, Mattias P. Heinrich:
Learn to Fuse Input Features for Large-Deformation Registration with Differentiable Convex-Discrete Optimisation. WBIR 2022: 119-123 - [c75]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: 134-143 - [c74]Mona Schumacher, Hanna Siebert, Ragnar Bade, Andreas Genz, Mattias P. Heinrich:
Weak Bounding Box Supervision for Image Registration Networks. WBIR 2022: 215-219 - [e4]Marc Aubreville, David Zimmerer, Mattias P. Heinrich:
Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis - MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27 - October 1, 2021, Proceedings. Lecture Notes in Computer Science 13166, Springer 2022, ISBN 978-3-030-97280-6 [contents] - [e3]Alessa Hering, Julia A. Schnabel, Miaomiao Zhang, Enzo Ferrante, Mattias P. Heinrich, Daniel Rueckert:
Biomedical Image Registration - 10th International Workshop, WBIR 2022, Munich, Germany, July 10-12, 2022, Proceedings. Lecture Notes in Computer Science 13386, Springer 2022, ISBN 978-3-031-11202-7 [contents] - [i27]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 abs/2201.02831 (2022) - [i26]Mattias P. Heinrich, Lasse Hansen:
Voxelmorph++ Going beyond the cranial vault with keypoint supervision and multi-channel instance optimisation. CoRR abs/2203.00046 (2022) - [i25]Abhishek Dinkar Jagtap, Mattias P. Heinrich, Marian Himstedt:
Automatic Generation of Synthetic Colonoscopy Videos for Domain Randomization. CoRR abs/2205.10368 (2022) - [i24]Alexander Bigalke, Lasse Hansen, Mattias P. Heinrich:
Adapting the Mean Teacher for keypoint-based lung registration under geometric domain shifts. CoRR abs/2207.00371 (2022) - [i23]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 abs/2208.07314 (2022) - [i22]Ron Keuth, Mattias P. Heinrich, Martin Eichenlaub, Marian Himstedt:
Weakly Supervised Airway Orifice Segmentation in Video Bronchoscopy. CoRR abs/2208.11468 (2022) - [i21]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 abs/2211.12193 (2022) - [i20]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, J. 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 abs/2212.08568 (2022) - 2021
- [j30]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): 2079-2087 (2021) - [j29]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: 106374 (2021) - [j28]Kumar T. Rajamani, Hanna Siebert, Mattias P. Heinrich:
Dynamic deformable attention network (DDANet) for COVID-19 lesions semantic segmentation. J. Biomed. Informatics 119: 103816 (2021) - [j27]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: 101822 (2021) - [j26]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) - [j25]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): 2246-2257 (2021) - [c73]Alexander Bigalke, Mattias P. Heinrich:
Fusing Posture and Position Representations for Point Cloud-Based Hand Gesture Recognition. 3DV 2021: 617-626 - [c72]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: 16-21 - [c71]Hanna Siebert, Lasse Hansen, Mattias P. Heinrich:
Evaluating Design Choices for Deep Learning Registration Networks - Architecture Matters. Bildverarbeitung für die Medizin 2021: 111-116 - [c70]Lasse Hansen, Mattias P. Heinrich:
Abstract: Probabilistic Dense Displacement Networks for Medical Image Registration - Contributions to the Learn2Reg Challenge. Bildverarbeitung für die Medizin 2021: 125-126 - [c69]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: 192-197 - [c68]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: 254-259 - [c67]Lasse Hansen, Mattias P. Heinrich:
Deep Learning Based Geometric Registration for Medical Images: How Accurate Can We Get Without Visual Features? IPMI 2021: 18-30 - [c66]Hanna Siebert, Lasse Hansen, Mattias P. Heinrich:
Fast 3D Registration with Accurate Optimisation and Little Learning for Learn2Reg 2021. MIDOG/MOOD/Learn2Reg@MICCAI 2021: 174-179 - [c65]Lasse Hansen, Mattias P. Heinrich:
Revisiting Iterative Highly Efficient Optimisation Schemes in Medical Image Registration. MICCAI (4) 2021: 203-212 - [c64]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 - [c63]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 - [c62]Hanna Siebert, Kumar T. Rajamani, Mattias P. Heinrich:
Learning inverse consistent 3D groupwise registration with deforming autoencoders. Medical Imaging: Image Processing 2021 - [c61]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 - [e2]Nadya Shusharina, Mattias P. Heinrich, Ruobing Huang:
Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data - MICCAI 2020 Challenges, ABCs 2020, L2R 2020, TN-SCUI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings. Lecture Notes in Computer Science 12587, Springer 2021, ISBN 978-3-030-71826-8 [contents] - [e1]Mattias P. Heinrich, Qi Dou, Marleen de Bruijne, Jan Lellmann, Alexander Schlaefer, Floris Ernst:
Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany. Proceedings of Machine Learning Research 143, PMLR 2021 [contents] - [i19]Lasse Hansen, Mattias P. Heinrich:
Deep learning based geometric registration for medical images: How accurate can we get without visual features? CoRR abs/2103.00885 (2021) - [i18]Hanna Siebert, Lasse Hansen, Mattias P. Heinrich:
Fast 3D registration with accurate optimisation and little learning for Learn2Reg 2021. CoRR abs/2112.03053 (2021) - [i17]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 abs/2112.04489 (2021) - 2020
- [j24]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): 269-276 (2020) - [j23]In Young Ha, Matthias Wilms, Mattias P. Heinrich:
Semantically Guided Large Deformation Estimation with Deep Networks. Sensors 20(5): 1392 (2020) - [j22]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): 777-786 (2020) - [c60]Lasse Hansen, Maximilian Blendowski, Mattias P. Heinrich:
Abstract: Defence of Mathematical Models for Deep Learning based Registration. Bildverarbeitung für die Medizin 2020: 32 - [c59]Christian Lucas, Linda F. Aulmann, André Kemmling, Amir Madany Mamlouk, Mattias P. Heinrich:
Abstract: Estimation of the Principal Ischaemic Stroke Growth Directions for Predicting Tissue Outcomes. Bildverarbeitung für die Medizin 2020: 143 - [c58]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: 183 - [c57]Maximilian Blendowski, Mattias P. Heinrich:
Abstract: Self-Supervised 3D Context Feature Learning on Unlabeled Volume Data. Bildverarbeitung für die Medizin 2020: 192 - [c56]Hanna Siebert, Mattias P. Heinrich:
Deep Groupwise Registration of MRI Using Deforming Autoencoders. Bildverarbeitung für die Medizin 2020: 236-241 - [c55]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: 294-300 - [c54]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 - [c53]Lasse Hansen, Mattias P. Heinrich:
Discrete Unsupervised 3D Registration Methods for the Learn2Reg Challenge. MICCAI (Challenges) 2020: 68-73 - [c52]Mattias P. Heinrich, Lasse Hansen:
Highly Accurate and Memory Efficient Unsupervised Learning-Based Discrete CT Registration Using 2.5D Displacement Search. MICCAI (3) 2020: 190-200 - [c51]Mona Schumacher, Andreas Genz, Mattias P. Heinrich:
Weakly supervised pancreas segmentation based on class activation maps. Medical Imaging: Image Processing 2020: 1131314 - [i16]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 abs/2001.08480 (2020) - [i15]Max Blendowski, Mattias P. Heinrich:
Learning to map between ferns with differentiable binary embedding networks. CoRR abs/2005.12563 (2020) - [i14]Lasse Hansen, Mattias P. Heinrich:
Tackling the Problem of Large Deformations in Deep Learning Based Medical Image Registration Using Displacement Embeddings. CoRR abs/2005.13338 (2020) - [i13]Mattias P. Heinrich, Lasse Hansen:
Unsupervised learning of multimodal image registration using domain adaptation with projected Earth Move's discrepancies. CoRR abs/2005.14107 (2020) - [i12]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 abs/2012.03124 (2020) - [i11]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 abs/2012.12432 (2020)
2010 – 2019
- 2019
- [j21]Max Blendowski, Mattias P. Heinrich:
Combining MRF-based deformable registration and deep binary 3D-CNN descriptors for large lung motion estimation in COPD patients. Int. J. Comput. Assist. Radiol. Surg. 14(1): 43-52 (2019) - [j20]Lasse Hansen, Marlin Siebert, Jasper Diesel, Mattias P. Heinrich:
Fusing information from multiple 2D depth cameras for 3D human pose estimation in the operating room. Int. J. Comput. Assist. Radiol. Surg. 14(11): 1871-1879 (2019) - [j19]Alessa Hering, Sven Kuckertz, Stefan Heldmann, Mattias P. Heinrich:
Memory-efficient 2.5D convolutional transformer networks for multi-modal deformable registration with weak label supervision applied to whole-heart CT and MRI scans. Int. J. Comput. Assist. Radiol. Surg. 14(11): 1901-1912 (2019) - [j18]Jo Schlemper, Ozan Oktay, Michiel Schaap, Mattias P. Heinrich, Bernhard Kainz, Ben Glocker, Daniel Rueckert:
Attention gated networks: Learning to leverage salient regions in medical images. Medical Image Anal. 53: 197-207 (2019) - [j17]Mattias P. Heinrich, Ozan Oktay, Nassim Bouteldja:
OBELISK-Net: Fewer layers to solve 3D multi-organ segmentation with sparse deformable convolutions. Medical Image Anal. 54: 1-9 (2019) - [j16]Xiahai Zhuang, Lei Li, Christian Payer, Darko Stern, Martin Urschler, Mattias P. Heinrich, Julien Oster, Chunliang Wang, Örjan Smedby, Cheng Bian, Xin Yang, Pheng-Ann Heng, Aliasghar Mortazi, Ulas Bagci, Guanyu Yang, Chenchen Sun, Gaetan Galisot, Jean-Yves Ramel, Guang Yang:
Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge. Medical Image Anal. 58 (2019) - [j15]In Young Ha, Matthias Wilms, Heinz Handels, Mattias P. Heinrich:
Model-Based Sparse-to-Dense Image Registration for Realtime Respiratory Motion Estimation in Image-Guided Interventions. IEEE Trans. Biomed. Eng. 66(2): 302-310 (2019) - [c50]Nassim Bouteldja, Dorit Merhof, Jan Ehrhardt, Mattias P. Heinrich:
Deep Multi-Modal Encoder-Decoder Networks for Shape Constrained Segmentation and Joint Representation Learning. Bildverarbeitung für die Medizin 2019: 23-28 - [c49]Christian Lucas, Jonas J. Schöttler, André Kemmling, Linda F. Aulmann, Mattias P. Heinrich:
Automatic Detection and Segmentation of the Acute Vessel Thrombus in Cerebral CT. Bildverarbeitung für die Medizin 2019: 74-79 - [c48]Lasse Hansen, Jasper Diesel, Mattias P. Heinrich:
Regularized Landmark Detection with CAEs for Human Pose Estimation in the Operating Room. Bildverarbeitung für die Medizin 2019: 178-183 - [c47]Jannis Hagenah, Mattias P. Heinrich, Floris Ernst:
Abstract: Deep Transfer Learning for Aortic Root Dilation Identification in 3D Ultrasound Images. Bildverarbeitung für die Medizin 2019: 198 - [c46]Alessa Hering, Sven Kuckertz, Stefan Heldmann, Mattias P. Heinrich:
Enhancing Label-Driven Deep Deformable Image Registration with Local Distance Metrics for State-of-the-Art Cardiac Motion Tracking. Bildverarbeitung für die Medizin 2019: 309-314 - [c45]Christian Lucas, Linda F. Aulmann, André Kemmling, Amir Madany Mamlouk, Mattias P. Heinrich:
Estimation of the Principal Ischaemic Stroke Growth Directions for Predicting Tissue Outcomes. BrainLes@MICCAI (1) 2019: 69-79 - [c44]Timo Kepp, Jan Ehrhardt, Mattias P. Heinrich, Gereon Hüttmann, Heinz Handels:
Topology-Preserving Shape-Based Regression Of Retinal Layers In Oct Image Data Using Convolutional Neural Networks. ISBI 2019: 1437-1440 - [c43]Mattias P. Heinrich:
Closing the Gap Between Deep and Conventional Image Registration Using Probabilistic Dense Displacement Networks. MICCAI (6) 2019: 50-58 - [c42]Lasse Hansen, Doris Dittmer, Mattias P. Heinrich:
Learning Deformable Point Set Registration with Regularized Dynamic Graph CNNs for Large Lung Motion in COPD Patients. GLMI@MICCAI 2019: 53-61 - [c41]In Young Ha, Mattias P. Heinrich:
Comparing Deep Learning Strategies and Attention Mechanisms of Discrete Registration for Multimodal Image-Guided Interventions. LABELS/HAL-MICCAI/CuRIOUS@MICCAI 2019: 145-151 - [c40]Maximilian Blendowski, Hannes Nickisch, Mattias P. Heinrich:
How to Learn from Unlabeled Volume Data: Self-supervised 3D Context Feature Learning. MICCAI (6) 2019: 649-657 - [c39]Max Blendowski, Mattias P. Heinrich:
Learning interpretable multi-modal features for alignment with supervised iterative descent. MIDL 2019: 73-83 - [c38]Lasse Hansen, Mattias P. Heinrich:
Sparse Structured Prediction for Semantic Edge Detection in Medical Images. MIDL 2019: 250-259 - [i10]Xiahai Zhuang, Lei Li, Christian Payer, Darko Stern, Martin Urschler, Mattias P. Heinrich, Julien Oster, Chunliang Wang, Örjan Smedby, Cheng Bian, Xin Yang, Pheng-Ann Heng, Aliasghar Mortazi, Ulas Bagci, Guanyu Yang, Chenchen Sun, Gaetan Galisot, Jean-Yves Ramel, Thierry Brouard, Qianqian Tong, Weixin Si, Xiangyun Liao, Guodong Zeng, Zenglin Shi, Guoyan Zheng, Chengjia Wang, Tom J. MacGillivray, David E. Newby, Kawal S. Rhode, Sébastien Ourselin, Raad Mohiaddin, Jennifer Keegan, David N. Firmin, Guang Yang:
Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge. CoRR abs/1902.07880 (2019) - [i9]Mattias P. Heinrich:
Closing the Gap between Deep and Conventional Image Registration using Probabilistic Dense Displacement Networks. CoRR abs/1907.10931 (2019) - [i8]Lasse Hansen, Doris Dittmer, Mattias P. Heinrich:
Learning Deformable Point Set Registration with Regularized Dynamic Graph CNNs for Large Lung Motion in COPD Patients. CoRR abs/1909.07818 (2019) - 2018
- [j14]Mattias P. Heinrich, Max Blendowski, Ozan Oktay:
TernaryNet: faster deep model inference without GPUs for medical 3D segmentation using sparse and binary convolutions. Int. J. Comput. Assist. Radiol. Surg. 13(9): 1311-1320 (2018) - [j13]Ozan Oktay, Enzo Ferrante, Konstantinos Kamnitsas, Mattias P. Heinrich, Wenjia Bai, Jose Caballero, Stuart A. Cook, Antonio de Marvao, Timothy Dawes, Declan P. O'Regan, Bernhard Kainz, Ben Glocker, Daniel Rueckert:
Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation. IEEE Trans. Medical Imaging 37(2): 384-395 (2018) - [c37]Max Blendowski, Mattias P. Heinrich:
3D-CNNs for Deep Binary Descriptor Learning in Medical Volume Data. Bildverarbeitung für die Medizin 2018: 23-28 - [c36]Mattias P. Heinrich, Ozan Oktay:
Abstract: Exploring Sparsity in CNNs for Medical Image Segmentation BRIEFnet. Bildverarbeitung für die Medizin 2018: 40-41 - [c35]Lasse Hansen, Jasper Diesel, Mattias P. Heinrich:
Multi-kernel Diffusion CNNs for Graph-Based Learning on Point Clouds. ECCV Workshops (3) 2018: 456-469 - [c34]Christian Lucas, André Kemmling, Amir Madany Mamlouk, Mattias P. Heinrich:
Multi-scale neural network for automatic segmentation of ischemic strokes on acute perfusion images. ISBI 2018: 1118-1121 - [c33]Mattias P. Heinrich:
Intra-operative Ultrasound to MRI Fusion with a Public Multimodal Discrete Registration Tool. POCUS/BIVPCS/CuRIOUS/CPM@MICCAI 2018: 159-164 - [c32]Ryutaro Tanno, Antonios Makropoulos, Salim Arslan, Ozan Oktay, Sven Mischkewitz, Fouad Al-Noor, Jonas Oppenheimer, Ramin Mandegaran, Bernhard Kainz, Mattias P. Heinrich:
AutoDVT: Joint Real-Time Classification for Vein Compressibility Analysis in Deep Vein Thrombosis Ultrasound Diagnostics. MICCAI (2) 2018: 905-912 - [c31]Evelin Hristova, Heinrich Schulz, Tom Brosch, Mattias P. Heinrich, Hannes Nickisch:
Nearest neighbor 3D segmentation with context features. Medical Imaging: Image Processing 2018: 105740M - [c30]Ivo M. Baltruschat, Axel Saalbach, Mattias P. Heinrich, Hannes Nickisch, Sascha Jockel:
Orientation regression in hand radiographs: a transfer learning approach. Medical Imaging: Image Processing 2018: 105741W - [i7]Mattias P. Heinrich, Maximilian Blendowski, Ozan Oktay:
TernaryNet: Faster Deep Model Inference without GPUs for Medical 3D Segmentation using Sparse and Binary Convolutions. CoRR abs/1801.09449 (2018) - [i6]Ozan Oktay, Jo Schlemper, Loïc Le Folgoc, Matthew C. H. Lee, Mattias P. Heinrich, Kazunari Misawa, Kensaku Mori, Steven G. McDonagh, Nils Y. Hammerla, Bernhard Kainz, Ben Glocker, Daniel Rueckert:
Attention U-Net: Learning Where to Look for the Pancreas. CoRR abs/1804.03999 (2018) - [i5]Jan Rühaak, Thomas Polzin, Stefan Heldmann, Ivor J. A. Simpson, Heinz Handels, Jan Modersitzki, Mattias P. Heinrich:
Estimation of Large Motion in Lung CT by Integrating Regularized Keypoint Correspondences into Dense Deformable Registration. CoRR abs/1807.00467 (2018) - [i4]Jo Schlemper, Ozan Oktay, Michiel Schaap, Mattias P. Heinrich, Bernhard Kainz, Ben Glocker, Daniel Rueckert:
Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images. CoRR abs/1808.08114 (2018) - [i3]Lasse Hansen, Jasper Diesel, Mattias P. Heinrich:
Multi-Kernel Diffusion CNNs for Graph-Based Learning on Point Clouds. CoRR abs/1809.05370 (2018) - [i2]Alessa Hering, Sven Kuckertz, Stefan Heldmann, Mattias P. Heinrich:
Enhancing Label-Driven Deep Deformable Image Registration with Local Distance Metrics for State-of-the-Art Cardiac Motion Tracking. CoRR abs/1812.01859 (2018) - 2017
- [j12]Oskar Maier, Bjoern H. Menze, Janina von der Gablentz, Levin Häni, Mattias P. Heinrich, Matthias Liebrand, Stefan Winzeck, Abdul Basit, Paul Bentley, Liang Chen, Daan Christiaens, Francis Dutil, Karl Egger, Chaolu Feng, Ben Glocker, Michael Götz, Tom Haeck, Hanna-Leena Halme, Mohammad Havaei, Khan M. Iftekharuddin, Pierre-Marc Jodoin, et al.:
ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI. Medical Image Anal. 35: 250-269 (2017) - [j11]Jeroen Mollink, Michiel Kleinnijenhuis, Anne-Marie van Cappellen van Walsum, Stamatios N. Sotiropoulos, Michiel Cottaar, Christopher Mirfin, Mattias P. Heinrich, Mark Jenkinson, Menuka Pallebage-Gamarallage, Olaf Ansorge, Saâd Jbabdi, Karla L. Miller:
Evaluating fibre orientation dispersion in white matter: Comparison of diffusion MRI, histology and polarized light imaging. NeuroImage 157: 561-574 (2017) - [j10]Ozan Oktay, Wenjia Bai, Ricardo Guerrero, Martin Rajchl, Antonio de Marvao, Declan P. O'Regan, Stuart A. Cook, Mattias P. Heinrich, Ben Glocker, Daniel Rueckert:
Stratified Decision Forests for Accurate Anatomical Landmark Localization in Cardiac Images. IEEE Trans. Medical Imaging 36(1): 332-342 (2017) - [j9]Jan Rühaak, Thomas Polzin, Stefan Heldmann, Ivor J. A. Simpson, Heinz Handels, Jan Modersitzki, Mattias P. Heinrich:
Estimation of Large Motion in Lung CT by Integrating Regularized Keypoint Correspondences into Dense Deformable Registration. IEEE Trans. Medical Imaging 36(8): 1746-1757 (2017) - [c29]Maximilian Blendowski, Mattias P. Heinrich:
Abstract: Kombination binärer Kontextfeatures mit Vantage Point Forests zur Multi-Organ-Segmentierung. Bildverarbeitung für die Medizin 2017: 24 - [c28]In Young Ha, Matthias Wilms, Mattias P. Heinrich:
Multi-Object Segmentation in Chest X-Ray Using Cascaded Regression Ferns. Bildverarbeitung für die Medizin 2017: 254-259 - [c27]Christian Lucas, Oskar Maier, Mattias P. Heinrich:
Shallow Fully-Connected Neural Networks for Ischemic Stroke-Lesion Segmentation in MRI. Bildverarbeitung für die Medizin 2017: 261-266 - [c26]Mattias P. Heinrich, Julien Oster:
MRI Whole Heart Segmentation Using Discrete Nonlinear Registration and Fast Non-local Fusion. STACOM@MICCAI 2017: 233-241 - [c25]Mattias P. Heinrich, Ozan Oktay:
BRIEFnet: Deep Pancreas Segmentation Using Binary Sparse Convolutions. MICCAI (3) 2017: 329-337 - [i1]Ozan Oktay, Enzo Ferrante, Konstantinos Kamnitsas, Mattias P. Heinrich, Wenjia Bai, Jose Caballero, Ricardo Guerrero, Stuart A. Cook, Antonio de Marvao, Timothy Dawes, Declan P. O'Regan, Bernhard Kainz, Ben Glocker, Daniel Rueckert:
Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation. CoRR abs/1705.08302 (2017) - 2016
- [j8]Mattias P. Heinrich, Ivor J. A. Simpson, Bartlomiej W. Papiez, Michael Brady, Julia A. Schnabel:
Deformable image registration by combining uncertainty estimates from supervoxel belief propagation. Medical Image Anal. 27: 57-71 (2016) - [j7]Julia A. Schnabel, Mattias P. Heinrich, Bartlomiej W. Papiez, J. Michael Brady:
Advances and challenges in deformable image registration: From image fusion to complex motion modelling. Medical Image Anal. 33: 145-148 (2016) - [j6]Zhoubing Xu, Christopher P. Lee, Mattias P. Heinrich, Marc Modat, Daniel Rueckert, Sébastien Ourselin, Richard G. Abramson, Bennett A. Landman:
Evaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CT. IEEE Trans. Biomed. Eng. 63(8): 1563-1572 (2016) - [j5]Oscar Alfonso Jiménez del Toro, Henning Müller, Markus Krenn, Katharina Gruenberg, Abdel Aziz Taha, Marianne Winterstein, Ivan Eggel, Antonio Foncubierta-Rodríguez, Orcun Goksel, András Jakab, Georgios Kontokotsios, Georg Langs, Bjoern H. Menze, Tomas Salas Fernandez, Roger Schaer, Anna Walleyo, Marc-André Weber, Yashin Dicente Cid, Tobias Gass, Mattias P. Heinrich, Fucang Jia, Fredrik Kahl, Razmig Kéchichian, Dominic Mai, Assaf B. Spanier, Graham Vincent, Chunliang Wang, Daniel Wyeth, Allan Hanbury:
Cloud-Based Evaluation of Anatomical Structure Segmentation and Landmark Detection Algorithms: VISCERAL Anatomy Benchmarks. IEEE Trans. Medical Imaging 35(11): 2459-2475 (2016) - [c24]Johanna Degen, Mattias P. Heinrich:
Multi-Atlas Based Pseudo-CT Synthesis Using Multimodal Image Registration and Local Atlas Fusion Strategies. CVPR Workshops 2016: 600-608 - [c23]Thomas Polzin, Marc Niethammer, Mattias P. Heinrich, Heinz Handels, Jan Modersitzki:
Memory Efficient LDDMM for Lung CT. MICCAI (3) 2016: 28-36 - [c22]Mattias P. Heinrich, Ozan Oktay:
Accurate Intervertebral Disc Localisation and Segmentation in MRI Using Vantage Point Hough Forests and Multi-atlas Fusion. CSI@MICCAI 2016: 77-84 - [c21]Matthias Wilms, In Young Ha, Heinz Handels, Mattias Paul Heinrich:
Model-Based Regularisation for Respiratory Motion Estimation with Sparse Features in Image-Guided Interventions. MICCAI (3) 2016: 89-97 - [c20]Mattias P. Heinrich, Maximilian Blendowski:
Multi-organ Segmentation Using Vantage Point Forests and Binary Context Features. MICCAI (2) 2016: 598-606 - 2015
- [c19]Mattias P. Heinrich, Oskar Maier, Heinz Handels:
Multi-modal Multi-Atlas Segmentation using Discrete Optimisation and Self-Similarities. VISCERAL Challenge@ISBI 2015: 27-30 - [c18]Mattias P. Heinrich, Matthias Wilms, Heinz Handels:
Multi-atlas Segmentation Using Patch-Based Joint Label Fusion with Non-Negative Least Squares Regression. Patch-MI@MICCAI 2015: 146-153 - [c17]Mattias P. Heinrich, Heinz Handels, Ivor J. A. Simpson:
Estimating Large Lung Motion in COPD Patients by Symmetric Regularised Correspondence Fields. MICCAI (2) 2015: 338-345 - [c16]Ozan Oktay, Andreas Schuh, Martin Rajchl, Kevin Keraudren, Alberto Gómez, Mattias P. Heinrich, Graeme P. Penney, Daniel Rueckert:
Structured Decision Forests for Multi-modal Ultrasound Image Registration. MICCAI (2) 2015: 363-371 - [c15]Bartlomiej W. Papiez, Jamie Franklin, Mattias P. Heinrich, Fergus V. Gleeson, Julia A. Schnabel:
Liver Motion Estimation via Locally Adaptive Over-Segmentation Regularization. MICCAI (3) 2015: 427-434 - 2014
- [j4]Bartlomiej W. Papiez, Mattias P. Heinrich, Jérôme Fehrenbach, Laurent Risser, Julia A. Schnabel:
An implicit sliding-motion preserving regularisation via bilateral filtering for deformable image registration. Medical Image Anal. 18(8): 1299-1311 (2014) - [c14]Monica Enescu, Mattias P. Heinrich, Esme J. Hill, Ricky A. Sharma, Michael A. Chappell, Julia A. Schnabel:
An MRF-Based Discrete Optimization Framework for Combined DCE-MRI Motion Correction and Pharmacokinetic Parameter Estimation. BAMBI 2014: 73-84 - [c13]Mattias P. Heinrich, Bartlomiej W. Papiez, Julia A. Schnabel, Heinz Handels:
Multispectral Image Registration Based on Local Canonical Correlation Analysis. MICCAI (1) 2014: 202-209 - [c12]Mattias P. Heinrich, Bartlomiej W. Papiez, Julia A. Schnabel, Heinz Handels:
Non-parametric Discrete Registration with Convex Optimisation. WBIR 2014: 51-61 - [c11]Bartlomiej W. Papiez, Thomas Tapmeier, Mattias P. Heinrich, Ruth J. Muschel, Julia A. Schnabel:
Motion Correction of Intravital Microscopy of Preclinical Lung Tumour Imaging Using Multichannel Structural Image Descriptor. WBIR 2014: 164-173 - 2013
- [j3]Mattias P. Heinrich, Mark Jenkinson, Michael Brady, Julia A. Schnabel:
MRF-Based Deformable Registration and Ventilation Estimation of Lung CT. IEEE Trans. Medical Imaging 32(7): 1239-1248 (2013) - [c10]Mattias P. Heinrich, Mark Jenkinson, Bartlomiej W. Papiez, Fergus V. Gleeson, Michael Brady, Julia A. Schnabel:
Edge- and Detail-Preserving Sparse Image Representations for Deformable Registration of Chest MRI and CT Volumes. IPMI 2013: 463-474 - [c9]Bartlomiej W. Papiez, Mattias Paul Heinrich, Laurent Risser, Julia A. Schnabel:
Complex Lung Motion Estimation via Adaptive Bilateral Filtering of the Deformation Field. MICCAI (3) 2013: 25-32 - [c8]Amalia Cifor, Laurent Risser, Mattias P. Heinrich, Daniel Chung, Julia A. Schnabel:
Rigid Registration of Untracked Freehand 2D Ultrasound Sweeps to 3D CT of Liver Tumours. Abdominal Imaging 2013: 155-164 - [c7]Mattias P. Heinrich, Mark Jenkinson, Bartlomiej W. Papiez, Michael Brady, Julia A. Schnabel:
Towards Realtime Multimodal Fusion for Image-Guided Interventions Using Self-similarities. MICCAI (1) 2013: 187-194 - 2012
- [j2]Mattias P. Heinrich, Mark Jenkinson, Manav Bhushan, Tahreema N. Matin, Fergus Gleeson, Michael Brady, Julia A. Schnabel:
MIND: Modality independent neighbourhood descriptor for multi-modal deformable registration. Medical Image Anal. 16(7): 1423-1435 (2012) - [c6]Laurent Risser, Mattias P. Heinrich, Tahreema N. Matin, Julia A. Schnabel:
Piecewise-diffeomorphic registration of 3D CT/MR pulmonary images with sliding conditions. ISBI 2012: 1351-1354 - [c5]Mattias P. Heinrich, Mark Jenkinson, Michael Brady, Julia A. Schnabel:
Textural mutual information based on cluster trees for multimodal deformable registration. ISBI 2012: 1471-1474 - [c4]Mattias P. Heinrich, Mark Jenkinson, Michael Brady, Julia A. Schnabel:
Globally Optimal Deformable Registration on a Minimum Spanning Tree Using Dense Displacement Sampling. MICCAI (3) 2012: 115-122 - 2011
- [j1]Keelin Murphy, Bram van Ginneken, Joseph M. Reinhardt, Sven Kabus, Kai Ding, Xiang Deng, Kunlin Cao, Kaifang Du, Gary E. Christensen, Vincent Garcia, Tom Vercauteren, Nicholas Ayache, Olivier Commowick, Grégoire Malandain, Ben Glocker, Nikos Paragios, Nassir Navab, Vladlena Gorbunova, Jon Sporring, Marleen de Bruijne, Xiao Han, Mattias P. Heinrich, Julia A. Schnabel, Mark Jenkinson, Cristian Lorenz, Marc Modat, Jamie McClelland, Sébastien Ourselin, Sascha E. A. Muenzing, Max A. Viergever, Dante De Nigris, D. Louis Collins, Tal Arbel, Marta Peroni, Rui Li, Gregory C. Sharp, Alexander Schmidt-Richberg, Jan Ehrhardt, René Werner, Dirk Smeets, Dirk Loeckx, Gang Song, Nicholas J. Tustison, Brian B. Avants, James C. Gee, Marius Staring, Stefan Klein, Berend C. Stoel, Martin Urschler, Manuel Werlberger, Jef Vandemeulebroucke, Simon Rit, David Sarrut, Josien P. W. Pluim:
Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge. IEEE Trans. Medical Imaging 30(11): 1901-1920 (2011) - [c3]Manav Bhushan, Julia A. Schnabel, Laurent Risser, Mattias P. Heinrich, J. Michael Brady, Mark Jenkinson:
Motion Correction and Parameter Estimation in dceMRI Sequences: Application to Colorectal Cancer. MICCAI (1) 2011: 476-483 - [c2]Mattias P. Heinrich, Mark Jenkinson, Manav Bhushan, Tahreema N. Matin, Fergus Gleeson, J. Michael Brady, Julia A. Schnabel:
Non-local Shape Descriptor: A New Similarity Metric for Deformable Multi-modal Registration. MICCAI (2) 2011: 541-548 - [c1]Mattias P. Heinrich, Mark Jenkinson, J. Michael Brady, Julia A. Schnabel:
Non-rigid image registration through efficient discrete optimization. MIUA 2011: 187-192
Coauthor Index
Maximilian Blendowski
aka: Max Blendowski
aka: Max Blendowski
[j40] [c114] [c112] [c110] [i36] [j38] [j37] [j36] [j34] [c100] [c99] [c97] [i33] [i31] [j31] [c89] [c88] [c87] [c86] [c85] [c84] [c83] [c82] [c77] [i27] [i26] [i24] [i21] [i20] [j30] [j27] [j25] [c71] [c70] [c69] [c68] [c67] [c66] [c65] [i19] [i18] [i17] [c60] [c55] [c53] [c52] [i14] [i13] [j20] [c48] [c42] [c38] [i8] [c35] [i3]
Bartlomiej Wladyslaw Papiez
aka: Bartlomiej W. Papiez
aka: Bartlomiej W. Papiez
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