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An MRF-Based Discrete Optimization Framework for Combined DCE-MRI Motion Correction and Pharmacokinetic Parameter Estimation.

M. Enescu, M. Heinrich, E. Hill, R. Sharma, M. Chappell, and J. Schnabel. BAMBI, volume 8677 of Lecture Notes in Computer Science, page 73-84. Springer, (2014)

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Heinrich Schullerer University of Stuttgart

Benjamin Heinrich University of Stuttgart

Univ. -Prof. Dr. -Ing. Heinrich Planck University of Stuttgart

Hon. -Prof. Dr. -Ing. Heinrich Flegel University of Stuttgart

P. Hommel

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Piecewise-diffeomorphic registration of 3D CT/MR pulmonary images with sliding conditions.L. Risser, M. Heinrich, T. Matin, and J. Schnabel. ISBI, page 1351-1354. IEEE, (2012)Multi-modal Multi-Atlas Segmentation using Discrete Optimisation and Self-Similarities.M. Heinrich, O. Maier, and H. Handels. VISCERAL Challenge@ISBI, volume 1390 of CEUR Workshop Proceedings, page 27-30. CEUR-WS.org, (2015)Estimating Large Lung Motion in COPD Patients by Symmetric Regularised Correspondence Fields.M. Heinrich, H. Handels, and I. Simpson. MICCAI (2), volume 9350 of Lecture Notes in Computer Science, page 338-345. Springer, (2015)Multi-organ Segmentation Using Vantage Point Forests and Binary Context Features.M. Heinrich, and M. Blendowski. MICCAI (2), volume 9901 of Lecture Notes in Computer Science, page 598-606. (2016)Non-local Shape Descriptor: A New Similarity Metric for Deformable Multi-modal Registration.M. Heinrich, M. Jenkinson, M. Bhushan, T. Matin, F. Gleeson, J. Brady, and J. Schnabel. MICCAI (2), volume 6892 of Lecture Notes in Computer Science, page 541-548. Springer, (2011)Globally Optimal Deformable Registration on a Minimum Spanning Tree Using Dense Displacement Sampling.M. Heinrich, M. Jenkinson, M. Brady, and J. Schnabel. MICCAI (3), volume 7512 of Lecture Notes in Computer Science, page 115-122. Springer, (2012)Edge- and Detail-Preserving Sparse Image Representations for Deformable Registration of Chest MRI and CT Volumes.M. Heinrich, M. Jenkinson, B. Papiez, F. Gleeson, M. Brady, and J. Schnabel. IPMI, volume 7917 of Lecture Notes in Computer Science, page 463-474. Springer, (2013)Stratified Decision Forests for Accurate Anatomical Landmark Localization in Cardiac Images.O. Oktay, W. Bai, R. Guerrero, M. Rajchl, A. de Marvao, D. O'Regan, S. Cook, M. Heinrich, B. Glocker, and D. Rueckert. IEEE Trans. Med. Imaging, 36 (1): 332-342 (2017)How to Learn from Unlabeled Volume Data: Self-supervised 3D Context Feature Learning.M. Blendowski, H. Nickisch, and M. Heinrich. MICCAI (6), volume 11769 of Lecture Notes in Computer Science, page 649-657. Springer, (2019)Semantic segmentation for plant phenotyping using advanced deep learning pipelines.P. Karthik, M. Parashar, S. Reka, K. Rajamani, and M. Heinrich. Multim. Tools Appl., 81 (3): 4535-4547 (2022)