Mattias P. Heinrich

226 papers A* 3B 12Journal 98Unranked 109

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Abstract: BinaryFormer - Differentiable 1-bit Self-attention for Long-range Transformers in Medical Segmentation and 3D Diffusion Models. Bildverarbeitung für die Medizin Mattias P. Heinrich
2026	—	`conf`	Abstract: PrIINeR - Towards Prior-informed Implicit Neural Representations for Accelerated MRI. Bildverarbeitung für die Medizin Ziad Al-Haj Hemidi, Eytan Kats, Mattias P. Heinrich
2026	J	`jnl`	CoRe: Joint Optimization with Contrastive Learning for Medical Image Registration. CoRR Eytan Kats, Christoph Großbröhmer, Ziad Al-Haj Hemidi, Fenja Falta, Wiebke Heyer, Mattias P. Heinrich
2026	J	`jnl`	Depth to Anatomy: Learning Internal Organ Locations from Surface Depth Images. CoRR Eytan Kats, Kai Geißler, Daniel Mensing, Jochen G. Hirsch, Stefan Heldman, Mattias P. Heinrich
2026	J	`jnl`	Effective Feature Learning for 3D Medical Registration via Domain-Specialized DINO Pretraining. CoRR Eytan Kats, Mattias P. Heinrich
2026	—	`conf`	Fracture Morphology Classification - Local Multiclass Modeling for Multilabel Complexity. Bildverarbeitung für die Medizin Cassandra Krause, Mattias P. Heinrich, Ron Keuth
2025	J	`jnl`	3d freehand ultrasound reconstruction by reference-based point cloud registration. Int. J. Comput. Assist. Radiol. Surg. Christoph Großbröhmer, Lasse Hansen, Jürgen Lichtenstein, Ludger Tüshaus, Mattias P. Heinrich
2025	—	`conf`	Abstract: ConvexAdam - Self-configuring Framework for Dual-Optimisation-based 3D Multitask Medical Image Registration. Bildverarbeitung für die Medizin Christoph Großbröhmer, Hanna Siebert, Lasse Hansen, Mattias P. Heinrich
2025	—	`conf`	Abstract: IM-MoCo - Self-supervised MRI Motion Correction using Motion-guided Implicit Neural Representations. Bildverarbeitung für die Medizin Ziad Al-Haj Hemidi, Christian Weihsbach, Mattias P. Heinrich
2025	—	`conf`	Autocalibration for 3D Ultrasound Reconstruction in Infant Hip Dysplasia Screening. Bildverarbeitung für die Medizin Wiebke Heyer, Christian Weihsbach, Christoph Otte, Jürgen Lichtenstein, Sebastian Lippross, Mattias P. Heinrich, Lasse Hansen
2025	J	`jnl`	Beyond the LUMIR challenge: The pathway to foundational registration models. CoRR Junyu Chen, Shuwen Wei, Joel Honkamaa, Pekka Marttinen, Hang Zhang, Min Liu, Yichao Zhou, Zuopeng Tan, Zhuoyuan Wang, Yi Wang, Hongchao Zhou, Shunbo Hu, Yi Zhang, Qian Tao, Lukas Förner, Thomas Wendler, Bailiang Jian, Benedikt Wiestler, Tim Hable, Jin Kim, Dan Ruan, Frederic Madesta, Thilo Sentker, Wiebke Heyer, Lianrui Zuo, Yuwei Dai, Jing Wu, Jerry L. Prince, Harrison X. Bai, Yong Du, Yihao Liu, Alessa Hering, Reuben Dorent, Lasse Hansen, Mattias P. Heinrich, Aaron Carass
2025	J	`jnl`	ConvexAdam: Self-Configuring Dual-Optimization-Based 3D Multitask Medical Image Registration. IEEE Trans. Medical Imaging Hanna Siebert, Christoph Großbröhmer, Lasse Hansen, Mattias P. Heinrich
2025	J	`jnl`	DenseSeg: joint learning for semantic segmentation and landmark detection using dense image-to-shape representation. Int. J. Comput. Assist. Radiol. Surg. Ron Keuth, Lasse Hansen, Maren Balks, Ronja Jäger, Anne-Nele Schröder, Ludger Tüshaus, Mattias P. Heinrich
2025	J	`jnl`	Fracture Morphology Classification: Local Multiclass Modeling for Multilabel Complexity. CoRR Cassandra Krause, Mattias P. Heinrich, Ron Keuth
2025	J	`jnl`	Internal Organ Localization Using Depth Images. CoRR Eytan Kats, Kai Geißler, Jochen G. Hirsch, Stefan Heldmann, Mattias P. Heinrich
2025	—	`conf`	Internal Organ Localization using Depth Images - A Framework for Automated MRI Patient Positioning. Bildverarbeitung für die Medizin Eytan Kats, Kai Geißler, Jochen G. Hirsch, Stefan Heldmann, Mattias P. Heinrich
2025	J	`jnl`	Learn2Reg 2024: New Benchmark Datasets Driving Progress on New Challenges. CoRR Lasse Hansen, Wiebke Heyer, Christoph Großbröhmer, Frederic Madesta, Thilo Sentker, Jiazheng Wang, Yuxi Zhang, Hang Zhang, Min Liu, Junyi Wang, Xi Zhu, Yuhua Li, Liwen Wang, Daniil Morozov, Nazim Haouchine, Joel Honkamaa, Pekka Marttinen, Yichao Zhou, Zuopeng Tan, Zhuoyuan Wang, Yi Wang, Hongchao Zhou, Shunbo Hu, Yi Zhang, Qian Tao, Lukas Förner, Thomas Wendler, Bailiang Jian, Christian Wachinger, Jin Kim, Dan Ruan, Marek Wodzinski, Henning Müller, Tony C. W. Mok, Xi Jia, Jinming Duan, Mikael Brudfors, Seyed-Ahmad Ahmadi, Yunzheng Zhu, William Hsu, Tina Kapur, William M. Wells, Alexandra J. Golby, Aaron Carass, Harrison X. Bai, Yihao Liu, Perrine Paul-Gilloteaux, Joakim Lindblad, Natasa Sladoje, Andreas Walter, Junyu Chen, Reuben Dorent, Alessa Hering, Mattias P. Heinrich
2025	—	`conf`	Look, No Convs! Permutation- and Rotation-invariance for MetaFormers. Bildverarbeitung für die Medizin Mattias P. Heinrich
2025	J	`jnl`	OncoReg: Medical Image Registration for Oncological Challenges. CoRR Wiebke Heyer, Yannic Elser, Lennart Berkel, Xinrui Song, Xuanang Xu, Pingkun Yan, Xi Jia, Jinming Duan, Zi Li, Tony C. W. Mok, Bowen Li, Christian Staackmann, Christoph Großbröhmer, Lasse Hansen, Alessa Hering, Malte Maria Sieren, Mattias P. Heinrich
2025	J	`jnl`	PrIINeR: Towards Prior-Informed Implicit Neural Representations for Accelerated MRI. CoRR Ziad Al-Haj Hemidi, Eytan Kats, Mattias P. Heinrich
2025	—	`conf`	Real-time Landmark Guidance for Radial Head Localization in Ultrasound Imaging. Bildverarbeitung für die Medizin Lennart Meyling, Christoph Großbröhmer, Jürgen Lichtenstein, Mattias P. Heinrich, Lasse Hansen
2025	—	`conf`	Robust Statistical Shape Modelling with Implicit Neural Representations. Bildverarbeitung für die Medizin Christoph Großbröhmer, Fenja Falta, Ron Keuth, Timo Kepp, Mattias P. Heinrich
2025	J	`jnl`	Scalable Clinical Annotation with Location Evidence (SCALE). Comput. Biol. Medicine Joeran S. Bosma, Luc Builtjes, Anindo Saha, Jasper J. Twilt, Manolis Tsiknakis, Kostas Marias, Daniele Regge, Nikolaos Papanikolaou, Ivo G. Schoots, Jeroen Veltman, Mattijs Elschot, Derya Yakar, Nancy A. Obuchowski, Mattias P. Heinrich, Alessa Hering, Maarten de Rooij, Henkjan Huisman
2025	J	`jnl`	Shaken or Stirred? An Analysis of MetaFormer's Token Mixing for Medical Imaging. CoRR Ron Keuth, Paul Kaftan, Mattias P. Heinrich
2025	J	`jnl`	Sparse keypoint segmentation of lung fissures: efficient geometric deep learning for abstracting volumetric images. Int. J. Comput. Assist. Radiol. Surg. Paul Kaftan, Mattias P. Heinrich, Lasse Hansen, Volker Rasche, Hans A. Kestler, Alexander Bigalke
2025	—	`conf`	Systematic Analysis of Input Modalities for Fracture Classification of the Paediatric Wrist. Bildverarbeitung für die Medizin Ron Keuth, Maren Balks, Sebastian Tschauner, Ludger Tüshaus, Mattias P. Heinrich
2025	J	`jnl`	The Brain Resection Multimodal Image Registration (ReMIND2Reg) 2025 Challenge. CoRR Reuben Dorent, Laura Rigolo, Colin Galvin, Junyu Chen, Mattias P. Heinrich, Aaron Carass, Olivier Colliot, Demian Wassermann, Alexandra J. Golby, Tina Kapur, William M. Wells III
2025	J	`jnl`	TotalRegistrator: Towards a Lightweight Foundation Model for CT Image Registration. CoRR Xuan Loc Pham, Gwendolyn Vuurberg, Marjan Doppen, Joey Roosen, Tip Stille, Thi Quynh Ha, Thuy Duong Quach, Quoc Vu Dang, Manh Ha Luu, Ewoud J. Smit, Hong Son Mai, Mattias P. Heinrich, Bram van Ginneken, Mathias Prokop, Alessa Hering
2024	J	`jnl`	A Systematic Analysis of Input Modalities for Fracture Classification of the Paediatric Wrist. CoRR Ron Keuth, Maren Balks, Sebastian Tschauner, Ludger Tüshaus, Mattias P. Heinrich
2024	—	`conf`	Abstract: Advancing Large-scale Deformable 3D Registration with Differentiable Volumetric Rasterisation of Point Clouds - Chasing Clouds. Bildverarbeitung für die Medizin Mattias P. Heinrich, Alexander Bigalke, Christoph Großbröhmer, Lasse Hansen
2024	—	`conf`	Abstract: Combined 3D Dataset for CT- and Point Cloud-based Intra-patient Lung Registration Lung250M-4B. Bildverarbeitung für die Medizin Fenja Falta, Christoph Großbröhmer, Alessa Hering, Alexander Bigalke, Mattias P. Heinrich
2024	—	`conf`	Abstracting Volumetric Medical Images with Sparse Keypoints for Efficient Geometric Segmentation of Lung Fissures with a Graph CNN. Bildverarbeitung für die Medizin Paul Kaftan, Mattias P. Heinrich, Lasse Hansen, Volker Rasche, Hans A. Kestler, Alexander Bigalke
2024	J	`jnl`	AcquisitionFocus: Joint Optimization of Acquisition Orientation and Cardiac Volume Reconstruction Using Deep Learning. Sensors Christian Weihsbach, Nora Vogt, Ziad Al-Haj Hemidi, Alexander Bigalke, Lasse Hansen, Julien Oster, Mattias P. Heinrich
2024	—	`conf`	Addressing the Bias of the Dice Coefficient - Semantic Segmentation of Peripheral Airways in Lung CT. Bildverarbeitung für die Medizin Fenja Falta, Mattias P. Heinrich, Marian Himstedt
2024	J	`jnl`	Airway label prediction in video bronchoscopy: capturing temporal dependencies utilizing anatomical knowledge. Int. J. Comput. Assist. Radiol. Surg. Ron Keuth, Mattias P. Heinrich, Martin Eichenlaub, Marian Himstedt
2024	—	`conf`	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 Ron Keuth, Mattias P. Heinrich
2024	J	`jnl`	Combining Image- and Geometric-based Deep Learning for Shape Regression: A Comparison to Pixel-level Methods for Segmentation in Chest X-Ray. CoRR Ron Keuth, Mattias P. Heinrich
2024	—	`conf`	Deformable MRI Sequence Registration for AI-Based Prostate Cancer Diagnosis. WBIR Alessa Hering, Sarah de Boer, Anindo Saha, Jasper J. Twilt, Mattias P. Heinrich, Derya Yakar, Maarten de Rooij, Henkjan Huisman, Joeran S. Bosma
2024	J	`jnl`	DenseSeg: Joint Learning for Semantic Segmentation and Landmark Detection Using Dense Image-to-Shape Representation. CoRR Ron Keuth, Lasse Hansen, Maren Balks, Ronja Jäger, Anne-Nele Schröder, Ludger Tüshaus, Mattias P. Heinrich
2024	—	`conf`	Displacement Representation for Conditional Point Cloud Registration - HeatReg Applied to 2D/3D Freehand Ultrasound Reconstruction. Bildverarbeitung für die Medizin Lasse Hansen, Jürgen Lichtenstein, Mattias P. Heinrich
2024	—	`conf`	IM-MoCo: Self-supervised MRI Motion Correction Using Motion-Guided Implicit Neural Representations. MICCAI (7) Ziad Al-Haj Hemidi, Christian Weihsbach, Mattias P. Heinrich
2024	J	`jnl`	IM-MoCo: Self-supervised MRI Motion Correction using Motion-Guided Implicit Neural Representations. CoRR Ziad Al-Haj Hemidi, Christian Weihsbach, Mattias P. Heinrich
2024	—	`conf`	Implicit neural obfuscation for privacy preserving medical image sharing. MIDL Mattias P. Heinrich, Lasse Hansen
2024	—	`conf`	Incorporating Temporal Information into 3D Hand Pose Estimation Using Scene Flow. VISIGRAPP (4): VISAPP Niklas Hermes, Alexander Bigalke, Mattias P. Heinrich
2024	—	`conf`	PULPo: Probabilistic Unsupervised Laplacian Pyramid Registration. MICCAI (2) Leonard Siegert, Paul Fischer, Mattias P. Heinrich, Christian F. Baumgartner
2024	J	`jnl`	PULPo: Probabilistic Unsupervised Laplacian Pyramid Registration. CoRR Leonard Siegert, Paul Fischer, Mattias P. Heinrich, Christian F. Baumgartner
2024	J	`jnl`	SAM Carries the Burden: A Semi-Supervised Approach Refining Pseudo Labels for Medical Segmentation. CoRR Ron Keuth, Lasse Hansen, Maren Balks, Ronja Jäger, Anne-Nele Schröder, Ludger Tüshaus, Mattias P. Heinrich
2024	—	`conf`	SINA: Sharp Implicit Neural Atlases by Joint Optimisation of Representation and Deformation. WBIR Christoph Großbröhmer, Ziad Al-Haj Hemidi, Fenja Falta, Mattias P. Heinrich
2024	—	`conf`	Self-Supervised Learning of Dense Hierarchical Representations for Medical Image Segmentation. ISBI Eytan Kats, Jochen G. Hirsch, Mattias P. Heinrich
2024	J	`jnl`	Self-supervised Learning of Dense Hierarchical Representations for Medical Image Segmentation. CoRR Eytan Kats, Jochen G. Hirsch, Mattias P. Heinrich
2024	—	`conf`	Unleashing Registration: Diffusion Models for Synthetic Paired 3D Training Data. WBIR Fenja Falta, Wiebke Heyer, Christoph Großbröhmer, Mattias P. Heinrich
2023	—	`conf`	A Denoised Mean Teacher for Domain Adaptive Point Cloud Registration. MICCAI (10) Alexander Bigalke, Mattias P. Heinrich
2023	J	`jnl`	A denoised Mean Teacher for domain adaptive point cloud registration. CoRR Alexander Bigalke, Mattias P. Heinrich
2023	J	`jnl`	Airway Label Prediction in Video Bronchoscopy: Capturing Temporal Dependencies Utilizing Anatomical Knowledge. CoRR Ron Keuth, Mattias P. Heinrich, Martin Eichenlaub, Marian Himstedt
2023	J	`jnl`	Anatomy-guided domain adaptation for 3D in-bed human pose estimation. Medical Image Anal. Alexander Bigalke, Lasse Hansen, Jasper Diesel, Carlotta Hennigs, Philipp Rostalski, Mattias P. Heinrich
2023	J	`jnl`	Attention-augmented U-Net (AA-U-Net) for semantic segmentation. Signal Image Video Process. Kumar T. Rajamani, Priya Rani, Hanna Siebert, Elagiri Ramalingam Rajkumar, Mattias P. Heinrich
2023	A*	`conf`	Chasing clouds: Differentiable volumetric rasterisation of point clouds as a highly efficient and accurate loss for large-scale deformable 3D registration. ICCV Mattias P. Heinrich, Alexander Bigalke, Christoph Großbröhmer, Lasse Hansen
2023	—	`conf`	CineJENSE: Simultaneous Cine MRI Image Reconstruction and Sensitivity Map Estimation Using Neural Representations. STACOM@MICCAI Ziad Al-Haj Hemidi, Nora Vogt, Lucile Quillien, Christian Weihsbach, Mattias P. Heinrich, Julien Oster
2023	J	`jnl`	CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation. Medical Image Anal. 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
2023	J	`jnl`	DG-TTA: Out-of-domain medical image segmentation through Domain Generalization and Test-Time Adaptation. CoRR Christian Weihsbach, Christian N. Kruse, Alexander Bigalke, Mattias P. Heinrich
2023	—	`conf`	Generalised 3D Medical Image Registration with Learned Shape Encodings. MIUA Christoph Großbröhmer, Mattias P. Heinrich
2023	B	`conf`	Highly accurate deep registration networks for large deformation estimation in compression ultrasound. Image Processing Laura F. Graf, Hanna Siebert, Sven Mischkewitz, Ron Keuth, Mattias P. Heinrich
2023	J	`jnl`	Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning. IEEE Trans. Medical Imaging 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
2023	—	`conf`	Leveraging Semantic Information for Sonographic Wrist Fracture Assessment Within Children. Bildverarbeitung für die Medizin Christoph Großbröhmer, Luisa Bartram, Corinna Rheinbay, Mattias P. Heinrich, Ludger Tüshaus
2023	A*	`conf`	Lung250M-4B: A Combined 3D Dataset for CT- and Point Cloud-Based Intra-Patient Lung Registration. NeurIPS Fenja Falta, Christoph Großbröhmer, Alessa Hering, Alexander Bigalke, Mattias P. Heinrich
2023	J	`jnl`	Point cloud-based scene flow estimation on realistically deformable objects: A benchmark of deep learning-based methods. J. Vis. Commun. Image Represent. Niklas Hermes, Alexander Bigalke, Mattias P. Heinrich
2023	J	`jnl`	Robust and Realtime Large Deformation Ultrasound Registration Using End-to-End Differentiable Displacement Optimisation. Sensors Mattias P. Heinrich, Hanna Siebert, Laura Graf, Sven Mischkewitz, Lasse Hansen
2023	J	`jnl`	Shape Matters: Detecting Vertebral Fractures Using Differentiable Point-Based Shape Decoding. CoRR Hellena Hempe, Alexander Bigalke, Mattias P. Heinrich
2023	—	`conf`	Unsupervised 3D Registration Through Optimization-Guided Cyclical Self-training. MICCAI (10) Alexander Bigalke, Lasse Hansen, Tony C. W. Mok, Mattias P. Heinrich
2023	J	`jnl`	Unsupervised 3D registration through optimization-guided cyclical self-training. CoRR Alexander Bigalke, Lasse Hansen, Tony C. W. Mok, Mattias P. Heinrich
2023	B	`conf`	Weakly supervised airway orifice segmentation in video bronchoscopy. Image Processing Ron Keuth, Mattias P. Heinrich, Martin Eichenlaub, Marian Himstedt
2023	A*	`conf`	Why is the Winner the Best? CVPR 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, Sen Yang, Y. Yang, Zixuan Zhao, Klaus H. Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein
2023	J	`jnl`	Why is the winner the best? CoRR 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.
2022	—	`conf`	Abstract: Light-weight Semantic Segmentation and Labelling of Vertebrae in 3D-CT Scans. Bildverarbeitung für die Medizin Hellena Hempe, Mattias P. Heinrich
2022	—	`conf`	Adapting the Mean Teacher for Keypoint-Based Lung Registration Under Geometric Domain Shifts. MICCAI (6) Alexander Bigalke, Lasse Hansen, Mattias P. Heinrich
2022	J	`jnl`	Adapting the Mean Teacher for keypoint-based lung registration under geometric domain shifts. CoRR Alexander Bigalke, Lasse Hansen, Mattias P. Heinrich
2022	J	`jnl`	Anatomy-guided domain adaptation for 3D in-bed human pose estimation. CoRR Alexander Bigalke, Lasse Hansen, Jasper Diesel, Carlotta Hennigs, Philipp Rostalski, Mattias P. Heinrich
2022	J	`jnl`	Automatic Generation of Synthetic Colonoscopy Videos for Domain Randomization. CoRR Abhishek Dinkar Jagtap, Mattias P. Heinrich, Marian Himstedt
2022	—	`ed.`	Biomedical Image Registration - 10th International Workshop, WBIR 2022, Munich, Germany, July 10-12, 2022, Proceedings WBIR Alessa Hering, Julia A. Schnabel, Miaomiao Zhang, Enzo Ferrante, Mattias P. Heinrich, Daniel Rueckert
2022	—	`ed.`	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 MIDOG/MOOD/Learn2Reg@MICCAI Marc Aubreville, David Zimmerer, Mattias P. Heinrich
2022	J	`jnl`	Biomedical image analysis competitions: The state of current participation practice. CoRR 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.
2022	B	`conf`	Bridging the domain gap for medical image segmentation with multimodal MIND features. Image Processing Christian N. Kruse, Mattias P. Heinrich
2022	J	`jnl`	CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation. CoRR 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
2022	—	`conf`	DeepSTAPLE: Learning to Predict Multimodal Registration Quality for Unsupervised Domain Adaptation. WBIR Christian Weihsbach, Alexander Bigalke, Christian N. Kruse, Hellena Hempe, Mattias P. Heinrich
2022	—	`conf`	Domain adaptation through anatomical constraints for 3d human pose estimation under the cover. MIDL Alexander Bigalke, Lasse Hansen, Jasper Diesel, Mattias P. Heinrich
2022	—	`conf`	Employing ConvexAdam for BraTS-Reg. BrainLes@MICCAI Christoph Großbröhmer, Hanna Siebert, Lasse Hansen, Mattias P. Heinrich
2022	—	`conf`	Iterative 3D CNN Based Segmentation of Vascular Trees in Liver CT. Bildverarbeitung für die Medizin Mona Schumacher, Ragnar Bade, Andreas Genz, Mattias P. Heinrich
2022	—	`conf`	Learn to Fuse Input Features for Large-Deformation Registration with Differentiable Convex-Discrete Optimisation. WBIR Hanna Siebert, Mattias P. Heinrich
2022	J	`jnl`	Learn2Trust: A video and streamlit-based educational programme for AI-based medical image analysis targeted towards medical students. CoRR Hanna Siebert, Marian Himstedt, Mattias P. Heinrich
2022	—	`conf`	Learning Iterative Optimisation for Deformable Image Registration of Lung CT with Recurrent Convolutional Networks. MICCAI (6) Fenja Falta, Lasse Hansen, Mattias P. Heinrich
2022	J	`jnl`	Learning a Metric for Multimodal Medical Image Registration without Supervision Based on Cycle Constraints. Sensors Hanna Siebert, Lasse Hansen, Mattias P. Heinrich
2022	—	`conf`	Learning an Airway Atlas from Lung CT Using Semantic Inter-patient Deformable Registration. Bildverarbeitung für die Medizin Fenja Falta, Lasse Hansen, Marian Himstedt, Mattias P. Heinrich
2022	J	`jnl`	Multi-contrast computed tomography healthy kidney atlas. Comput. Biol. Medicine 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
2022	B	`conf`	Opportunistic CT screening for degenerative deformities and osteoporotic fractures with 3D DeepLab. Image Processing Hellena Hempe, Eren Bora Yilmaz, Carsten Meyer, Mattias P. Heinrich
2022	—	`conf`	Realtime Optical Flow Estimation on Vein and Artery Ultrasound Sequences Based on Knowledge-Distillation. WBIR Till Nicke, Laura Graf, Mikko Lauri, Sven Mischkewitz, Simone Frintrop, Mattias P. Heinrich
2022	J	`jnl`	Semantic segmentation for plant phenotyping using advanced deep learning pipelines. Multim. Tools Appl. Pullalarevu Karthik, Mansi Parashar, S. Sofana Reka, Kumar T. Rajamani, Mattias P. Heinrich
2022	—	`conf`	Spatiotemporal Attention for Realtime Segmentation of Corrupted Sequential Ultrasound Data - Improving Usability of AI-based Image Guidance. Bildverarbeitung für die Medizin Laura Graf, Sven Mischkewitz, Lasse Hansen, Mattias P. Heinrich
2022	B	`conf`	Supervised deep generation of high-resolution arterial phase computed tomography kidney substructure atlas. Image Processing 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
2022	—	`conf`	Support Point Sets for Improving Contactless Interaction in Geometric Learning for Hand Pose Estimation. Bildverarbeitung für die Medizin Niklas Hermes, Lasse Hansen, Alexander Bigalke, Mattias P. Heinrich
2022	—	`conf`	Voxelmorph++ - Going Beyond the Cranial Vault with Keypoint Supervision and Multi-channel Instance Optimisation. WBIR Mattias P. Heinrich, Lasse Hansen
2022	J	`jnl`	Voxelmorph++ Going beyond the cranial vault with keypoint supervision and multi-channel instance optimisation. CoRR Mattias P. Heinrich, Lasse Hansen
2022	—	`conf`	Weak Bounding Box Supervision for Image Registration Networks. WBIR Mona Schumacher, Hanna Siebert, Ragnar Bade, Andreas Genz, Mattias P. Heinrich
2022	J	`jnl`	Weakly Supervised Airway Orifice Segmentation in Video Bronchoscopy. CoRR Ron Keuth, Mattias P. Heinrich, Martin Eichenlaub, Marian Himstedt
2022	—	`conf`	XEdgeConv: Leveraging graph convolutions for efficient, permutation- and rotation-invariant dense 3D medical image segmentation. GeoMedIA Christian Weihsbach, Lasse Hansen, Mattias P. Heinrich
2021	—	`conf`	Abstract: Probabilistic Dense Displacement Networks for Medical Image Registration - Contributions to the Learn2Reg Challenge. Bildverarbeitung für die Medizin Lasse Hansen, Mattias P. Heinrich
2021	B	`conf`	Construction of a multi-phase contrast computed tomography kidney atlas. Image Processing 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
2021	B	`conf`	DA-AR-Net: an attentive activation based Deformable auto-encoder for group-wise registration. Image Processing Prateek Gupta, Hanna Siebert, Mattias P. Heinrich, Kumar T. Rajamani
2021	—	`conf`	Deep Learning Based Geometric Registration for Medical Images: How Accurate Can We Get Without Visual Features? IPMI Lasse Hansen, Mattias P. Heinrich
2021	J	`jnl`	Deep learning based geometric registration for medical images: How accurate can we get without visual features? CoRR Lasse Hansen, Mattias P. Heinrich
2021	B	`conf`	Development and characterization of a chest CT atlas. Image Processing 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
2021	J	`jnl`	Dynamic deformable attention network (DDANet) for COVID-19 lesions semantic segmentation. J. Biomed. Informatics Kumar T. Rajamani, Hanna Siebert, Mattias P. Heinrich
2021	—	`conf`	End-to-end Learning of Body Weight Prediction from Point Clouds with Basis Point Sets. Bildverarbeitung für die Medizin Alexander Bigalke, Lasse Hansen, Mattias P. Heinrich
2021	—	`conf`	Evaluating Design Choices for Deep Learning Registration Networks - Architecture Matters. Bildverarbeitung für die Medizin Hanna Siebert, Lasse Hansen, Mattias P. Heinrich
2021	—	`conf`	Fast 3D Registration with Accurate Optimisation and Little Learning for Learn2Reg 2021. MIDOG/MOOD/Learn2Reg@MICCAI Hanna Siebert, Lasse Hansen, Mattias P. Heinrich
2021	J	`jnl`	Fast 3D registration with accurate optimisation and little learning for Learn2Reg 2021. CoRR Hanna Siebert, Lasse Hansen, Mattias P. Heinrich
2021	—	`conf`	Fusing Posture and Position Representations for Point Cloud-Based Hand Gesture Recognition. 3DV Alexander Bigalke, Mattias P. Heinrich
2021	J	`jnl`	GraphRegNet: Deep Graph Regularisation Networks on Sparse Keypoints for Dense Registration of 3D Lung CTs. IEEE Trans. Medical Imaging Lasse Hansen, Mattias P. Heinrich
2021	J	`jnl`	Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning. CoRR 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
2021	B	`conf`	Learning inverse consistent 3D groupwise registration with deforming autoencoders. Image Processing Hanna Siebert, Kumar T. Rajamani, Mattias P. Heinrich
2021	—	`ed.`	Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany. MIDL Mattias P. Heinrich, Qi Dou, Marleen de Bruijne, Jan Lellmann, Alexander Schlaefer, Floris Ernst
2021	J	`jnl`	Modality-agnostic self-supervised deep feature learning and fast instance optimisation for multimodal fusion in ultrasound-guided interventions. Comput. Methods Programs Biomed. In Young Ha, Mattias P. Heinrich
2021	—	`conf`	Multi-modal Unsupervised Domain Adaptation for Deformable Registration Based on Maximum Classifier Discrepancy. Bildverarbeitung für die Medizin Christian N. Kruse, Lasse Hansen, Mattias P. Heinrich
2021	J	`jnl`	Non-invasive diagnosis of deep vein thrombosis from ultrasound imaging with machine learning. npj Digit. Medicine 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
2021	—	`conf`	Revisiting Iterative Highly Efficient Optimisation Schemes in Medical Image Registration. MICCAI (4) Lasse Hansen, Mattias P. Heinrich
2021	J	`jnl`	Seeing under the cover with a 3D U-Net: point cloud-based weight estimation of covered patients. Int. J. Comput. Assist. Radiol. Surg. Alexander Bigalke, Lasse Hansen, Jasper Diesel, Mattias P. Heinrich
2021	—	`ed.`	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 MICCAI (Challenges) Nadya Shusharina, Mattias P. Heinrich, Ruobing Huang
2021	—	`conf`	Semantically Guided 3D Abdominal Image Registration with Deep Pyramid Feature Learning. Bildverarbeitung für die Medizin Mona Schumacher, Daniela Frey, In Young Ha, Ragnar Bade, Andreas Genz, Mattias P. Heinrich
2021	J	`jnl`	Weakly-supervised learning of multi-modal features for regularised iterative descent in 3D image registration. Medical Image Anal. Max Blendowski, Lasse Hansen, Mattias P. Heinrich
2020	—	`conf`	Abstract: Defence of Mathematical Models for Deep Learning based Registration. Bildverarbeitung für die Medizin Lasse Hansen, Maximilian Blendowski, Mattias P. Heinrich
2020	—	`conf`	Abstract: Estimation of the Principal Ischaemic Stroke Growth Directions for Predicting Tissue Outcomes. Bildverarbeitung für die Medizin Christian Lucas, Linda F. Aulmann, André Kemmling, Amir Madany Mamlouk, Mattias P. Heinrich
2020	—	`conf`	Abstract: Segmentation of Retinal Low-Cost Optical Coherence Tomography Images Using Deep Learning. Bildverarbeitung für die Medizin Timo Kepp, Helge Sudkamp, Claus von der Burchard, Hendrik Schenke, Peter Koch, Gereon Hüttmann, Johann Roider, Mattias P. Heinrich, Heinz Handels
2020	—	`conf`	Abstract: Self-Supervised 3D Context Feature Learning on Unlabeled Volume Data. Bildverarbeitung für die Medizin Maximilian Blendowski, Mattias P. Heinrich
2020	—	`conf`	Deep Groupwise Registration of MRI Using Deforming Autoencoders. Bildverarbeitung für die Medizin Hanna Siebert, Mattias P. Heinrich
2020	—	`conf`	Der Einfluss von Segmentierung auf die Genauigkeit eines CNN-Klassifikators zur Mimik-Steuerung. Bildverarbeitung für die Medizin Ron Keuth, Lasse Hansen, Mattias P. Heinrich
2020	J	`jnl`	Development and Characterization of a Chest CT Atlas. CoRR 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
2020	—	`conf`	Discrete Unsupervised 3D Registration Methods for the Learn2Reg Challenge. MICCAI (Challenges) Lasse Hansen, Mattias P. Heinrich
2020	J	`jnl`	Evaluation of MRI to Ultrasound Registration Methods for Brain Shift Correction: The CuRIOUS2018 Challenge. IEEE Trans. Medical Imaging 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
2020	—	`conf`	Highly Accurate and Memory Efficient Unsupervised Learning-Based Discrete CT Registration Using 2.5D Displacement Search. MICCAI (3) Mattias P. Heinrich, Lasse Hansen
2020	J	`jnl`	Learning to map between ferns with differentiable binary embedding networks. CoRR Max Blendowski, Mattias P. Heinrich
2020	J	`jnl`	Multi-Contrast Computed Tomography Healthy Kidney Atlas. CoRR 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
2020	J	`jnl`	Multimodal 3D medical image registration guided by shape encoder-decoder networks. Int. J. Comput. Assist. Radiol. Surg. Max Blendowski, Nassim Bouteldja, Mattias P. Heinrich
2020	J	`jnl`	Segmentation of Retinal Low-Cost Optical Coherence Tomography Images using Deep Learning. CoRR Timo Kepp, Helge Sudkamp, Claus von der Burchard, Hendrik Schenke, Peter Koch, Gereon Hüttmann, Johann Roider, Mattias P. Heinrich, Heinz Handels
2020	—	`conf`	Segmentation of retinal low-cost optical coherence tomography images using deep learning. Computer-Aided Diagnosis Timo Kepp, Helge Sudkamp, Claus von der Burchard, Hendrik Schenke, Peter Koch, Gereon Hüttmann, Johann Roider, Mattias P. Heinrich, Heinz Handels
2020	J	`jnl`	Semantically Guided Large Deformation Estimation with Deep Networks. Sensors In Young Ha, Matthias Wilms, Mattias P. Heinrich
2020	J	`jnl`	Tackling the Problem of Large Deformations in Deep Learning Based Medical Image Registration Using Displacement Embeddings. CoRR Lasse Hansen, Mattias P. Heinrich
2020	J	`jnl`	Unsupervised learning of multimodal image registration using domain adaptation with projected Earth Move's discrepancies. CoRR Mattias P. Heinrich, Lasse Hansen
2020	B	`conf`	Weakly supervised pancreas segmentation based on class activation maps. Image Processing Mona Schumacher, Andreas Genz, Mattias P. Heinrich
2019	—	`conf`	Abstract: Deep Transfer Learning for Aortic Root Dilation Identification in 3D Ultrasound Images. Bildverarbeitung für die Medizin Jannis Hagenah, Mattias P. Heinrich, Floris Ernst
2019	J	`jnl`	Attention gated networks: Learning to leverage salient regions in medical images. Medical Image Anal. Jo Schlemper, Ozan Oktay, Michiel Schaap, Mattias P. Heinrich, Bernhard Kainz, Ben Glocker, Daniel Rueckert
2019	—	`conf`	Automatic Detection and Segmentation of the Acute Vessel Thrombus in Cerebral CT. Bildverarbeitung für die Medizin Christian Lucas, Jonas J. Schöttler, André Kemmling, Linda F. Aulmann, Mattias P. Heinrich
2019	—	`conf`	Closing the Gap Between Deep and Conventional Image Registration Using Probabilistic Dense Displacement Networks. MICCAI (6) Mattias P. Heinrich
2019	J	`jnl`	Closing the Gap between Deep and Conventional Image Registration using Probabilistic Dense Displacement Networks. CoRR Mattias P. Heinrich
2019	J	`jnl`	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. Max Blendowski, Mattias P. Heinrich
2019	—	`conf`	Comparing Deep Learning Strategies and Attention Mechanisms of Discrete Registration for Multimodal Image-Guided Interventions. LABELS/HAL-MICCAI/CuRIOUS@MICCAI In Young Ha, Mattias P. Heinrich
2019	—	`conf`	Deep Multi-Modal Encoder-Decoder Networks for Shape Constrained Segmentation and Joint Representation Learning. Bildverarbeitung für die Medizin Nassim Bouteldja, Dorit Merhof, Jan Ehrhardt, Mattias P. Heinrich
2019	—	`conf`	Enhancing Label-Driven Deep Deformable Image Registration with Local Distance Metrics for State-of-the-Art Cardiac Motion Tracking. Bildverarbeitung für die Medizin Alessa Hering, Sven Kuckertz, Stefan Heldmann, Mattias P. Heinrich
2019	—	`conf`	Estimation of the Principal Ischaemic Stroke Growth Directions for Predicting Tissue Outcomes. BrainLes@MICCAI (1) Christian Lucas, Linda F. Aulmann, André Kemmling, Amir Madany Mamlouk, Mattias P. Heinrich
2019	J	`jnl`	Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge. CoRR 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
2019	J	`jnl`	Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge. Medical Image Anal. 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
2019	J	`jnl`	Fusing information from multiple 2D depth cameras for 3D human pose estimation in the operating room. Int. J. Comput. Assist. Radiol. Surg. Lasse Hansen, Marlin Siebert, Jasper Diesel, Mattias P. Heinrich
2019	—	`conf`	How to Learn from Unlabeled Volume Data: Self-supervised 3D Context Feature Learning. MICCAI (6) Maximilian Blendowski, Hannes Nickisch, Mattias P. Heinrich
2019	—	`conf`	Learning Deformable Point Set Registration with Regularized Dynamic Graph CNNs for Large Lung Motion in COPD Patients. GLMI@MICCAI Lasse Hansen, Doris Dittmer, Mattias P. Heinrich
2019	J	`jnl`	Learning Deformable Point Set Registration with Regularized Dynamic Graph CNNs for Large Lung Motion in COPD Patients. CoRR Lasse Hansen, Doris Dittmer, Mattias P. Heinrich
2019	—	`conf`	Learning interpretable multi-modal features for alignment with supervised iterative descent. MIDL Max Blendowski, Mattias P. Heinrich
2019	J	`jnl`	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. Alessa Hering, Sven Kuckertz, Stefan Heldmann, Mattias P. Heinrich
2019	J	`jnl`	Model-Based Sparse-to-Dense Image Registration for Realtime Respiratory Motion Estimation in Image-Guided Interventions. IEEE Trans. Biomed. Eng. In Young Ha, Matthias Wilms, Heinz Handels, Mattias P. Heinrich
2019	J	`jnl`	OBELISK-Net: Fewer layers to solve 3D multi-organ segmentation with sparse deformable convolutions. Medical Image Anal. Mattias P. Heinrich, Ozan Oktay, Nassim Bouteldja
2019	—	`conf`	Regularized Landmark Detection with CAEs for Human Pose Estimation in the Operating Room. Bildverarbeitung für die Medizin Lasse Hansen, Jasper Diesel, Mattias P. Heinrich
2019	—	`conf`	Sparse Structured Prediction for Semantic Edge Detection in Medical Images. MIDL Lasse Hansen, Mattias P. Heinrich
2019	—	`conf`	Topology-Preserving Shape-Based Regression Of Retinal Layers In Oct Image Data Using Convolutional Neural Networks. ISBI Timo Kepp, Jan Ehrhardt, Mattias P. Heinrich, Gereon Hüttmann, Heinz Handels
2018	—	`conf`	3D-CNNs for Deep Binary Descriptor Learning in Medical Volume Data. Bildverarbeitung für die Medizin Max Blendowski, Mattias P. Heinrich
2018	—	`conf`	Abstract: Exploring Sparsity in CNNs for Medical Image Segmentation BRIEFnet. Bildverarbeitung für die Medizin Mattias P. Heinrich, Ozan Oktay
2018	J	`jnl`	Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation. IEEE Trans. Medical Imaging 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
2018	J	`jnl`	Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images. CoRR Jo Schlemper, Ozan Oktay, Michiel Schaap, Mattias P. Heinrich, Bernhard Kainz, Ben Glocker, Daniel Rueckert
2018	J	`jnl`	Attention U-Net: Learning Where to Look for the Pancreas. CoRR 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
2018	—	`conf`	AutoDVT: Joint Real-Time Classification for Vein Compressibility Analysis in Deep Vein Thrombosis Ultrasound Diagnostics. MICCAI (2) Ryutaro Tanno, Antonios Makropoulos, Salim Arslan, Ozan Oktay, Sven Mischkewitz, Fouad Al-Noor, Jonas Oppenheimer, Ramin Mandegaran, Bernhard Kainz, Mattias P. Heinrich
2018	J	`jnl`	Enhancing Label-Driven Deep Deformable Image Registration with Local Distance Metrics for State-of-the-Art Cardiac Motion Tracking. CoRR Alessa Hering, Sven Kuckertz, Stefan Heldmann, Mattias P. Heinrich
2018	J	`jnl`	Estimation of Large Motion in Lung CT by Integrating Regularized Keypoint Correspondences into Dense Deformable Registration. CoRR Jan Rühaak, Thomas Polzin, Stefan Heldmann, Ivor J. A. Simpson, Heinz Handels, Jan Modersitzki, Mattias P. Heinrich
2018	—	`conf`	Intra-operative Ultrasound to MRI Fusion with a Public Multimodal Discrete Registration Tool. POCUS/BIVPCS/CuRIOUS/CPM@MICCAI Mattias P. Heinrich
2018	J	`jnl`	Multi-Kernel Diffusion CNNs for Graph-Based Learning on Point Clouds. CoRR Lasse Hansen, Jasper Diesel, Mattias P. Heinrich
2018	—	`conf`	Multi-kernel Diffusion CNNs for Graph-Based Learning on Point Clouds. ECCV Workshops (3) Lasse Hansen, Jasper Diesel, Mattias P. Heinrich
2018	—	`conf`	Multi-scale neural network for automatic segmentation of ischemic strokes on acute perfusion images. ISBI Christian Lucas, André Kemmling, Amir Madany Mamlouk, Mattias P. Heinrich
2018	B	`conf`	Nearest neighbor 3D segmentation with context features. Image Processing Evelin Hristova, Heinrich Schulz, Tom Brosch, Mattias P. Heinrich, Hannes Nickisch
2018	B	`conf`	Orientation regression in hand radiographs: a transfer learning approach. Image Processing Ivo M. Baltruschat, Axel Saalbach, Mattias P. Heinrich, Hannes Nickisch, Sascha Jockel
2018	J	`jnl`	TernaryNet: Faster Deep Model Inference without GPUs for Medical 3D Segmentation using Sparse and Binary Convolutions. CoRR Mattias P. Heinrich, Maximilian Blendowski, Ozan Oktay
2018	J	`jnl`	TernaryNet: faster deep model inference without GPUs for medical 3D segmentation using sparse and binary convolutions. Int. J. Comput. Assist. Radiol. Surg. Mattias P. Heinrich, Max Blendowski, Ozan Oktay
2017	—	`conf`	Abstract: Kombination binärer Kontextfeatures mit Vantage Point Forests zur Multi-Organ-Segmentierung. Bildverarbeitung für die Medizin Maximilian Blendowski, Mattias P. Heinrich
2017	J	`jnl`	Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation. CoRR 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
2017	—	`conf`	BRIEFnet: Deep Pancreas Segmentation Using Binary Sparse Convolutions. MICCAI (3) Mattias P. Heinrich, Ozan Oktay
2017	J	`jnl`	Estimation of Large Motion in Lung CT by Integrating Regularized Keypoint Correspondences into Dense Deformable Registration. IEEE Trans. Medical Imaging Jan Rühaak, Thomas Polzin, Stefan Heldmann, Ivor J. A. Simpson, Heinz Handels, Jan Modersitzki, Mattias P. Heinrich
2017	J	`jnl`	Evaluating fibre orientation dispersion in white matter: Comparison of diffusion MRI, histology and polarized light imaging. NeuroImage 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
2017	J	`jnl`	ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI. Medical Image Anal. 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.
2017	—	`conf`	MRI Whole Heart Segmentation Using Discrete Nonlinear Registration and Fast Non-local Fusion. STACOM@MICCAI Mattias P. Heinrich, Julien Oster
2017	—	`conf`	Multi-Object Segmentation in Chest X-Ray Using Cascaded Regression Ferns. Bildverarbeitung für die Medizin In Young Ha, Matthias Wilms, Mattias P. Heinrich
2017	—	`conf`	Shallow Fully-Connected Neural Networks for Ischemic Stroke-Lesion Segmentation in MRI. Bildverarbeitung für die Medizin Christian Lucas, Oskar Maier, Mattias P. Heinrich
2017	J	`jnl`	Stratified Decision Forests for Accurate Anatomical Landmark Localization in Cardiac Images. IEEE Trans. Medical Imaging 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
2016	—	`conf`	Accurate Intervertebral Disc Localisation and Segmentation in MRI Using Vantage Point Hough Forests and Multi-atlas Fusion. CSI@MICCAI Mattias P. Heinrich, Ozan Oktay
2016	J	`jnl`	Advances and challenges in deformable image registration: From image fusion to complex motion modelling. Medical Image Anal. Julia A. Schnabel, Mattias P. Heinrich, Bartlomiej W. Papiez, J. Michael Brady
2016	J	`jnl`	Cloud-Based Evaluation of Anatomical Structure Segmentation and Landmark Detection Algorithms: VISCERAL Anatomy Benchmarks. IEEE Trans. Medical Imaging 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
2016	J	`jnl`	Deformable image registration by combining uncertainty estimates from supervoxel belief propagation. Medical Image Anal. Mattias P. Heinrich, Ivor J. A. Simpson, Bartlomiej W. Papiez, Michael Brady, Julia A. Schnabel
2016	J	`jnl`	Evaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CT. IEEE Trans. Biomed. Eng. Zhoubing Xu, Christopher P. Lee, Mattias P. Heinrich, Marc Modat, Daniel Rueckert, Sébastien Ourselin, Richard G. Abramson, Bennett A. Landman
2016	—	`conf`	Memory Efficient LDDMM for Lung CT. MICCAI (3) Thomas Polzin, Marc Niethammer, Mattias P. Heinrich, Heinz Handels, Jan Modersitzki
2016	—	`conf`	Multi-Atlas Based Pseudo-CT Synthesis Using Multimodal Image Registration and Local Atlas Fusion Strategies. CVPR Workshops Johanna Degen, Mattias P. Heinrich
2016	—	`conf`	Multi-organ Segmentation Using Vantage Point Forests and Binary Context Features. MICCAI (2) Mattias P. Heinrich, Maximilian Blendowski
2015	—	`conf`	Estimating Large Lung Motion in COPD Patients by Symmetric Regularised Correspondence Fields. MICCAI (2) Mattias P. Heinrich, Heinz Handels, Ivor J. A. Simpson
2015	—	`conf`	Liver Motion Estimation via Locally Adaptive Over-Segmentation Regularization. MICCAI (3) Bartlomiej W. Papiez, Jamie Franklin, Mattias P. Heinrich, Fergus V. Gleeson, Julia A. Schnabel
2015	—	`conf`	Multi-atlas Segmentation Using Patch-Based Joint Label Fusion with Non-Negative Least Squares Regression. Patch-MI@MICCAI Mattias P. Heinrich, Matthias Wilms, Heinz Handels
2015	—	`conf`	Multi-modal Multi-Atlas Segmentation using Discrete Optimisation and Self-Similarities. VISCERAL Challenge@ISBI Mattias P. Heinrich, Oskar Maier, Heinz Handels
2015	—	`conf`	Structured Decision Forests for Multi-modal Ultrasound Image Registration. MICCAI (2) Ozan Oktay, Andreas Schuh, Martin Rajchl, Kevin Keraudren, Alberto Gómez, Mattias P. Heinrich, Graeme P. Penney, Daniel Rueckert
2014	—	`conf`	An MRF-Based Discrete Optimization Framework for Combined DCE-MRI Motion Correction and Pharmacokinetic Parameter Estimation. BAMBI Monica Enescu, Mattias P. Heinrich, Esme J. Hill, Ricky A. Sharma, Michael A. Chappell, Julia A. Schnabel
2014	J	`jnl`	An implicit sliding-motion preserving regularisation via bilateral filtering for deformable image registration. Medical Image Anal. Bartlomiej W. Papiez, Mattias P. Heinrich, Jérôme Fehrenbach, Laurent Risser, Julia A. Schnabel
2014	—	`conf`	Motion Correction of Intravital Microscopy of Preclinical Lung Tumour Imaging Using Multichannel Structural Image Descriptor. WBIR Bartlomiej W. Papiez, Thomas Tapmeier, Mattias P. Heinrich, Ruth J. Muschel, Julia A. Schnabel
2014	—	`conf`	Multispectral Image Registration Based on Local Canonical Correlation Analysis. MICCAI (1) Mattias P. Heinrich, Bartlomiej W. Papiez, Julia A. Schnabel, Heinz Handels
2014	—	`conf`	Non-parametric Discrete Registration with Convex Optimisation. WBIR Mattias P. Heinrich, Bartlomiej W. Papiez, Julia A. Schnabel, Heinz Handels
2013	—	`conf`	Edge- and Detail-Preserving Sparse Image Representations for Deformable Registration of Chest MRI and CT Volumes. IPMI Mattias P. Heinrich, Mark Jenkinson, Bartlomiej W. Papiez, Fergus V. Gleeson, Michael Brady, Julia A. Schnabel
2013	J	`jnl`	MRF-Based Deformable Registration and Ventilation Estimation of Lung CT. IEEE Trans. Medical Imaging Mattias P. Heinrich, Mark Jenkinson, Michael Brady, Julia A. Schnabel
2013	—	`conf`	Rigid Registration of Untracked Freehand 2D Ultrasound Sweeps to 3D CT of Liver Tumours. Abdominal Imaging Amalia Cifor, Laurent Risser, Mattias P. Heinrich, Daniel Chung, Julia A. Schnabel
2013	—	`conf`	Towards Realtime Multimodal Fusion for Image-Guided Interventions Using Self-similarities. MICCAI (1) Mattias P. Heinrich, Mark Jenkinson, Bartlomiej W. Papiez, Michael Brady, Julia A. Schnabel
2012	—	`conf`	Globally Optimal Deformable Registration on a Minimum Spanning Tree Using Dense Displacement Sampling. MICCAI (3) Mattias P. Heinrich, Mark Jenkinson, Michael Brady, Julia A. Schnabel
2012	J	`jnl`	MIND: Modality independent neighbourhood descriptor for multi-modal deformable registration. Medical Image Anal. Mattias P. Heinrich, Mark Jenkinson, Manav Bhushan, Tahreema N. Matin, Fergus Gleeson, Michael Brady, Julia A. Schnabel
2012	—	`conf`	Piecewise-diffeomorphic registration of 3D CT/MR pulmonary images with sliding conditions. ISBI Laurent Risser, Mattias P. Heinrich, Tahreema N. Matin, Julia A. Schnabel
2012	—	`conf`	Textural mutual information based on cluster trees for multimodal deformable registration. ISBI Mattias P. Heinrich, Mark Jenkinson, Michael Brady, Julia A. Schnabel
2011	J	`jnl`	Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge. IEEE Trans. Medical Imaging 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
2011	—	`conf`	Motion Correction and Parameter Estimation in dceMRI Sequences: Application to Colorectal Cancer. MICCAI (1) Manav Bhushan, Julia A. Schnabel, Laurent Risser, Mattias P. Heinrich, J. Michael Brady, Mark Jenkinson
2011	—	`conf`	Non-local Shape Descriptor: A New Similarity Metric for Deformable Multi-modal Registration. MICCAI (2) Mattias P. Heinrich, Mark Jenkinson, Manav Bhushan, Tahreema N. Matin, Fergus Gleeson, J. Michael Brady, Julia A. Schnabel
2011	—	`conf`	Non-rigid image registration through efficient discrete optimization. MIUA Mattias P. Heinrich, Mark Jenkinson, J. Michael Brady, Julia A. Schnabel