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ORCIDChristian Wachinger
Person information
- affiliation: University Hospital Munich, Department of Child and Adolescent Psychiatry, Germany
- affiliation: Massachusetts Institute of Technology, CSAIL, Cambridge, MA, USA
- affiliation: Harvard Medical School, Department of Neurology, Boston, MA, USA
- affiliation: TU Munich, Department of Informatics, Germany
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2020 – today
- 2024
[c67]Tom Nuno Wolf, Fabian Bongratz, Anne-Marie Rickmann, Sebastian Pölsterl, Christian Wachinger:
Keep the Faith: Faithful Explanations in Convolutional Neural Networks for Case-Based Reasoning. AAAI 2024: 5921-5929- [i51]Fabian Bongratz, Anne-Marie Rickmann, Christian Wachinger:
Neural deformation fields for template-based reconstruction of cortical surfaces from MRI. CoRR abs/2401.12938 (2024) - [i50]Fabian Bongratz, Jan Fecht, Anne-Marie Rickmann, Christian Wachinger:
V2C-Long: Longitudinal Cortex Reconstruction with Spatiotemporal Correspondence. CoRR abs/2402.17438 (2024) - [i49]Christian Wachinger, Dennis Hedderich, Fabian Bongratz:
Stochastic Cortical Self-Reconstruction. CoRR abs/2403.06837 (2024) - 2023
- [j22]Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li
, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis, Adi Szeskin, Colin Jacobs, Gabriel Efrain Humpire Mamani, Gabriel Chartrand, Fabian Lohöfer, Julian Walter Holch, Wieland H. Sommer, Felix Hofmann, Alexandre Hostettler, Naama Lev-Cohain, Michal Drozdzal, Michal Marianne Amitai, Refael Vivanti, Jacob Sosna, Ivan Ezhov, Anjany Sekuboyina, Fernando Navarro, Florian Kofler, Johannes C. Paetzold, Suprosanna Shit, Xiaobin Hu, Jana Lipková, Markus Rempfler, Marie Piraud, Jan Kirschke, Benedikt Wiestler, Zhiheng Zhang, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Michela Antonelli, Woong Bae, Miriam Bellver, Lei Bi, Hao Chen, Grzegorz Chlebus, Erik B. Dam, Qi Dou, Chi-Wing Fu, Bogdan Georgescu, Xavier Giró-i-Nieto, Felix Grün, Xu Han, Pheng-Ann Heng, Jürgen Hesser, Jan Hendrik Moltz, Christian Igel, Fabian Isensee, Paul Jäger, Fucang Jia, Krishna Chaitanya Kaluva, Mahendra Khened, Ildoo Kim, Jae-Hun Kim, Sungwoong Kim, Simon Kohl, Tomasz K. Konopczynski, Avinash Kori, Ganapathy Krishnamurthi, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Li, John S. Lowengrub, Jun Ma, Klaus H. Maier-Hein, Kevis-Kokitsi Maninis, Hans Meine, Dorit Merhof, Akshay Pai, Mathias Perslev, Jens Petersen, Jordi Pont-Tuset, Jin Qi, Xiaojuan Qi, Oliver Rippel, Karsten Roth, Ignacio Sarasua, Andrea Schenk, Zengming Shen, Jordi Torres, Christian Wachinger, Chunliang Wang, Leon Weninger, Jianrong Wu, Daguang Xu, Xiaoping Yang, Simon Chun-Ho Yu, Yading Yuan, Miao Yue, Liping Zhang, Manuel Jorge Cardoso, Spyridon Bakas, Rickmer Braren, Volker Heinemann, Christopher Pal, An Tang, Samuel Kadoury, Luc Soler, Bram van Ginneken, Hayit Greenspan, Leo Joskowicz, Bjoern H. Menze:
The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Anal. 84: 102680 (2023) - [c66]Tom Nuno Wolf, Sebastian Pölsterl, Christian Wachinger:
Don't PANIC: Prototypical Additive Neural Network for Interpretable Classification of Alzheimer's Disease. IPMI 2023: 82-94 - [c65]Anne-Marie Rickmann, Murong Xu, Tom Nuno Wolf, Oksana P. Kovalenko, Christian Wachinger:
HALOS: Hallucination-Free Organ Segmentation After Organ Resection Surgery. IPMI 2023: 667-678 - [c64]Anne-Marie Rickmann, Fabian Bongratz, Christian Wachinger:
Vertex Correspondence in Cortical Surface Reconstruction. MICCAI (8) 2023: 318-327 - [c63]Morteza Ghahremani, Christian Wachinger:
RegBN: Batch Normalization of Multimodal Data with Regularization. NeurIPS 2023 - [e4]Christian Wachinger, Beatriz Paniagua, Shireen Y. Elhabian, Jianning Li, Jan Egger:
Shape in Medical Imaging - International Workshop, ShapeMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. Lecture Notes in Computer Science 14350, Springer 2023, ISBN 978-3-031-46913-8 [contents] - [i48]Tom Nuno Wolf, Sebastian Pölsterl, Christian Wachinger:
Don't PANIC: Prototypical Additive Neural Network for Interpretable Classification of Alzheimer's Disease. CoRR abs/2303.07125 (2023) - [i47]Anne-Marie Rickmann, Murong Xu, Tom Nuno Wolf, Oksana P. Kovalenko, Christian Wachinger:
HALOS: Hallucination-free Organ Segmentation after Organ Resection Surgery. CoRR abs/2303.07717 (2023) - [i46]Fabian Bongratz, Anne-Marie Rickmann, Christian Wachinger:
Meshes Meet Voxels: Abdominal Organ Segmentation via Diffeomorphic Deformations. CoRR abs/2306.15515 (2023) - [i45]Morteza Ghahremani, Christian Wachinger:
RegBN: Batch Normalization of Multimodal Data with Regularization. CoRR abs/2310.00641 (2023) - [i44]Tom Nuno Wolf, Fabian Bongratz, Anne-Marie Rickmann, Sebastian Pölsterl, Christian Wachinger:
Keep the Faith: Faithful Explanations in Convolutional Neural Networks for Case-Based Reasoning. CoRR abs/2312.09783 (2023) - 2022
- [j21]Anne-Marie Rickmann, Jyotirmay Senapati, Oksana P. Kovalenko, Annette Peters, Fabian Bamberg, Christian Wachinger:
AbdomenNet: deep neural network for abdominal organ segmentation in epidemiologic imaging studies. BMC Medical Imaging 22(1): 168 (2022) - [j20]Tom Nuno Wolf, Sebastian Pölsterl, Christian Wachinger, Alzheimer's Disease Neuroimaging Initiative, Australian Imaging Biomarkers Lifestyle flagship study of ageing:
DAFT: A universal module to interweave tabular data and 3D images in CNNs. NeuroImage 260: 119505 (2022) - [c62]Fabian Bongratz, Anne-Marie Rickmann, Sebastian Pölsterl, Christian Wachinger:
Vox2Cortex: Fast Explicit Reconstruction of Cortical Surfaces from 3D MRI Scans with Geometric Deep Neural Networks. CVPR 2022: 20741-20751 - [c61]Anne-Marie Rickmann, Fabian Bongratz, Sebastian Pölsterl, Ignacio Sarasua, Christian Wachinger:
Joint Reconstruction and Parcellation of Cortical Surfaces. MLCN@MICCAI 2022: 3-12 - [c60]Ignacio Sarasua, Sebastian Pölsterl, Christian Wachinger:
CASHformer: Cognition Aware SHape Transformer for Longitudinal Analysis. MICCAI (1) 2022: 44-54 - [c59]Marla Narazani, Ignacio Sarasua, Sebastian Pölsterl, Aldana Lizarraga, Igor Yakushev, Christian Wachinger:
Is a PET All You Need? A Multi-modal Study for Alzheimer's Disease Using 3D CNNs. MICCAI (1) 2022: 66-76 - [i43]Fabian Bongratz, Anne-Marie Rickmann, Sebastian Pölsterl, Christian Wachinger:
Vox2Cortex: Fast Explicit Reconstruction of Cortical Surfaces from 3D MRI Scans with Geometric Deep Neural Networks. CoRR abs/2203.09446 (2022) - [i42]Ignacio Sarasua, Sebastian Pölsterl, Christian Wachinger:
CASHformer: Cognition Aware SHape Transformer for Longitudinal Analysis. CoRR abs/2207.02091 (2022) - [i41]Marla Narazani, Ignacio Sarasua, Sebastian Pölsterl, Aldana Lizarraga, Igor Yakushev, Christian Wachinger:
Is a PET all you need? A multi-modal study for Alzheimer's disease using 3D CNNs. CoRR abs/2207.02094 (2022) - [i40]Anne-Marie Rickmann, Fabian Bongratz, Sebastian Pölsterl, Ignacio Sarasua, Christian Wachinger:
Joint Reconstruction and Parcellation of Cortical Surfaces. CoRR abs/2210.01772 (2022) - 2021
- [j19]Benjamín Gutiérrez-Becker, Ignacio Sarasua, Christian Wachinger:
Discriminative and generative models for anatomical shape analysis on point clouds with deep neural networks. Medical Image Anal. 67: 101852 (2021) - [j18]Christian Wachinger, Anna Rieckmann, Sebastian Pölsterl:
Detect and correct bias in multi-site neuroimaging datasets. Medical Image Anal. 67: 101879 (2021) - [c58]Sebastian Pölsterl, Christian Wachinger:
Estimation of Causal Effects in the Presence of Unobserved Confounding in the Alzheimer's Continuum. IPMI 2021: 45-57 - [c57]Ignacio Sarasua, Jonwong Lee, Christian Wachinger:
Geometric Deep Learning on Anatomical Meshes for the Prediction of Alzheimer's Disease. ISBI 2021: 1356-1359 - [c56]Ignacio Sarasua, Sebastian Pölsterl, Christian Wachinger:
TransforMesh: A Transformer Network for Longitudinal Modeling of Anatomical Meshes. MLMI@MICCAI 2021: 209-218 - [c55]Fabian Gröger, Anne-Marie Rickmann, Christian Wachinger:
STRUDEL: Self-training with Uncertainty Dependent Label Refinement Across Domains. MLMI@MICCAI 2021: 306-316 - [c54]Sebastian Pölsterl, Christina Aigner, Christian Wachinger:
Scalable, Axiomatic Explanations of Deep Alzheimer's Diagnosis from Heterogeneous Data. MICCAI (3) 2021: 434-444 - [c53]Raphael Ronge, Kwangsik Nho, Christian Wachinger, Sebastian Pölsterl:
Alzheimer's Disease Diagnosis via Deep Factorization Machine Models. MLMI@MICCAI 2021: 624-633 - [c52]Sebastian Pölsterl, Tom Nuno Wolf, Christian Wachinger:
Combining 3D Image and Tabular Data via the Dynamic Affine Feature Map Transform. MICCAI (5) 2021: 688-698 - [c51]Philipp Kopper, Sebastian Pölsterl, Christian Wachinger, Bernd Bischl, Andreas Bender, David Rügamer:
Semi-Structured Deep Piecewise Exponential Models. SPACA 2021: 40-53 - [i39]Ignacio Sarasua, Jonwong Lee, Christian Wachinger:
Geometric Deep Learning on Anatomical Meshes for the Prediction of Alzheimer's Disease. CoRR abs/2104.10047 (2021) - [i38]Fabian Gröger, Anne-Marie Rickmann, Christian Wachinger:
STRUDEL: Self-Training with Uncertainty Dependent Label Refinement across Domains. CoRR abs/2104.11596 (2021) - [i37]Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern H. Menze, Olaf Ronneberger, Ronald M. Summers, Bram van Ginneken, Michel Bilello, Patrick Bilic, Patrick Ferdinand Christ, Richard K. G. Do, Marc Gollub, Stephan Heckers, Henkjan J. Huisman, William R. Jarnagin, Maureen McHugo, Sandy Napel, Jennifer Goli-Pernicka, Kawal S. Rhode, Catalina Tobon-Gomez, Eugene Vorontsov, James A. Meakin, Sébastien Ourselin, Manuel Wiesenfarth, Pablo Arbeláez, Byeonguk Bae, Sihong Chen, Laura Alexandra Daza, Jianjiang Feng, Baochun He, Fabian Isensee, Yuanfeng Ji, Fucang Jia, Namkug Kim, Ildoo Kim, Dorit Merhof, Akshay Pai, BeomHee Park, Mathias Perslev, Ramin Rezaiifar, Oliver Rippel, Ignacio Sarasua, Wei Shen, Jaemin Son, Christian Wachinger, Liansheng Wang, Yan Wang, Yingda Xia, Daguang Xu, Zhanwei Xu, Yefeng Zheng, Amber L. Simpson, Lena Maier-Hein, M. Jorge Cardoso:
The Medical Segmentation Decathlon. CoRR abs/2106.05735 (2021) - [i36]Sebastian Pölsterl, Tom Nuno Wolf, Christian Wachinger:
Combining 3D Image and Tabular Data via the Dynamic Affine Feature Map Transform. CoRR abs/2107.05990 (2021) - [i35]Sebastian Pölsterl, Christina Aigner, Christian Wachinger:
Scalable, Axiomatic Explanations of Deep Alzheimer's Diagnosis from Heterogeneous Data. CoRR abs/2107.05997 (2021) - [i34]Raphael Ronge, Kwangsik Nho, Christian Wachinger, Sebastian Pölsterl:
Alzheimer's Disease Diagnosis via Deep Factorization Machine Models. CoRR abs/2108.05916 (2021) - [i33]Ignacio Sarasua, Sebastian Pölsterl, Christian Wachinger:
TransforMesh: A Transformer Network for Longitudinal modeling of Anatomical Meshes. CoRR abs/2109.00532 (2021) - 2020
- [j17]Abhijit Guha Roy, Shayan Siddiqui, Sebastian Pölsterl, Nassir Navab, Christian Wachinger:
'Squeeze & excite' guided few-shot segmentation of volumetric images. Medical Image Anal. 59 (2020) - [j16]Laurent Chauvin, Kuldeep Kumar, Christian Wachinger, Mark G. Vangel, Jacques A. de Guise, Christian Desrosiers, William M. Wells III, Matthew Toews:
Neuroimage signature from salient keypoints is highly specific to individuals and shared by close relatives. NeuroImage 204 (2020) - [j15]Christian Wachinger, Matthew Toews, Georg Langs, William M. Wells III, Polina Golland:
Keypoint Transfer for Fast Whole-Body Segmentation. IEEE Trans. Medical Imaging 39(2): 273-282 (2020) - [j14]Anne-Marie Rickmann, Abhijit Guha Roy, Ignacio Sarasua, Christian Wachinger:
Recalibrating 3D ConvNets With Project & Excite. IEEE Trans. Medical Imaging 39(7): 2461-2471 (2020) - [c50]Ignacio Sarasua, Sebastian Pölsterl, Christian Wachinger:
Recalibration of Neural Networks for Point Cloud Analysis. 3DV 2020: 443-451 - [c49]Jyotirmay Senapati, Abhijit Guha Roy, Sebastian Pölsterl, Daniel Gutmann, Sergios Gatidis, Christopher Schlett, Annette Peters, Fabian Bamberg, Christian Wachinger:
Bayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers. MLMI@MICCAI 2020: 270-280 - [c48]Sinan Özgür Özgün, Anne-Marie Rickmann, Abhijit Guha Roy, Christian Wachinger:
Importance Driven Continual Learning for Segmentation Across Domains. MLMI@MICCAI 2020: 423-433 - [c47]Sebastian Pölsterl, Christian Wachinger:
Adversarial Learned Molecular Graph Inference and Generation. ECML/PKDD (2) 2020: 173-189 - [e3]Martin Reuter, Christian Wachinger, Hervé Lombaert, Beatriz Paniagua, Orcun Goksel, Islem Rekik:
Shape in Medical Imaging - International Workshop, ShapeMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings. Lecture Notes in Computer Science 12474, Springer 2020, ISBN 978-3-030-61055-5 [contents] - [i32]Christian Wachinger, Anna Rieckmann, Sebastian Pölsterl:
Detect and Correct Bias in Multi-Site Neuroimaging Datasets. CoRR abs/2002.05049 (2020) - [i31]Anne-Marie Rickmann, Abhijit Guha Roy, Ignacio Sarasua, Christian Wachinger:
Recalibrating 3D ConvNets with Project & Excite. CoRR abs/2002.10994 (2020) - [i30]Sinan Özgür Özgün, Anne-Marie Rickmann, Abhijit Guha Roy, Christian Wachinger:
Importance Driven Continual Learning for Segmentation Across Domains. CoRR abs/2005.00079 (2020) - [i29]Sebastian Pölsterl, Christian Wachinger:
Controlling for Unknown Confounders in Neuroimaging. CoRR abs/2006.13135 (2020) - [i28]Jyotirmay Senapati, Abhijit Guha Roy, Sebastian Pölsterl, Daniel Gutmann, Sergios Gatidis, Christopher Schlett, Annette Peters, Fabian Bamberg, Christian Wachinger:
Bayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers. CoRR abs/2008.12680 (2020) - [i27]Benjamín Gutiérrez-Becker, Ignacio Sarasua, Christian Wachinger:
Discriminative and Generative Models for Anatomical Shape Analysison Point Clouds with Deep Neural Networks. CoRR abs/2010.00820 (2020) - [i26]Philipp Kopper, Sebastian Pölsterl, Christian Wachinger, Bernd Bischl, Andreas Bender, David Rügamer:
Semi-Structured Deep Piecewise Exponential Models. CoRR abs/2011.05824 (2020) - [i25]Ignacio Sarasua, Sebastian Pölsterl, Christian Wachinger:
Recalibration of Neural Networks for Point Cloud Analysis. CoRR abs/2011.12888 (2020)
2010 – 2019
- 2019
- [j13]Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger, Alzheimer's Disease Neuroimaging Initiative:
QuickNAT: A fully convolutional network for quick and accurate segmentation of neuroanatomy. NeuroImage 186: 713-727 (2019) - [j12]Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger:
Bayesian QuickNAT: Model uncertainty in deep whole-brain segmentation for structure-wise quality control. NeuroImage 195: 11-22 (2019) - [j11]Abhijit Guha Roy, Nassir Navab, Christian Wachinger:
Recalibrating Fully Convolutional Networks With Spatial and Channel "Squeeze and Excitation" Blocks. IEEE Trans. Medical Imaging 38(2): 540-549 (2019) - [c46]Benjamín Gutiérrez-Becker, Christian Wachinger:
Learning a Conditional Generative Model for Anatomical Shape Analysis. IPMI 2019: 505-516 - [c45]Magdalini Paschali, Walter Simson, Abhijit Guha Roy, Rüdiger Göbl, Christian Wachinger, Nassir Navab:
Manifold Exploring Data Augmentation with Geometric Transformations for Increased Performance and Robustness. IPMI 2019: 517-529 - [c44]Sebastian Pölsterl, Benjamín Gutiérrez-Becker, Ignacio Sarasua, Abhijit Guha Roy, Christian Wachinger:
Prediction of Fluid Intelligence from T1-Weighted Magnetic Resonance Images. ABCD-NP@MICCAI 2019: 35-46 - [c43]Anne-Marie Rickmann, Abhijit Guha Roy, Ignacio Sarasua, Nassir Navab, Christian Wachinger:
'Project & Excite' Modules for Segmentation of Volumetric Medical Scans. MICCAI (2) 2019: 39-47 - [c42]Sebastian Pölsterl, Benjamín Gutiérrez-Becker, Ignacio Sarasua, Abhijit Guha Roy, Christian Wachinger:
An AutoML Approach for the Prediction of Fluid Intelligence from MRI-Derived Features. ABCD-NP@MICCAI 2019: 99-107 - [c41]Christian Wachinger, Benjamín Gutiérrez-Becker, Anna Rieckmann, Sebastian Pölsterl:
Quantifying Confounding Bias in Neuroimaging Datasets with Causal Inference. MICCAI (4) 2019: 484-492 - [c40]Sebastian Pölsterl, Ignacio Sarasua, Benjamín Gutiérrez-Becker, Christian Wachinger:
A Wide and Deep Neural Network for Survival Analysis from Anatomical Shape and Tabular Clinical Data. PKDD/ECML Workshops (1) 2019: 453-464 - [i24]Magdalini Paschali, Walter Simson, Abhijit Guha Roy, Muhammad Ferjad Naeem, Rüdiger Göbl, Christian Wachinger, Nassir Navab:
Data Augmentation with Manifold Exploring Geometric Transformations for Increased Performance and Robustness. CoRR abs/1901.04420 (2019) - [i23]Abhijit Guha Roy, Shayan Siddiqui, Sebastian Pölsterl, Nassir Navab, Christian Wachinger:
'Squeeze & Excite' Guided Few-Shot Segmentation of Volumetric Images. CoRR abs/1902.01314 (2019) - [i22]Abhijit Guha Roy, Shayan Siddiqui, Sebastian Pölsterl, Nassir Navab, Christian Wachinger:
BrainTorrent: A Peer-to-Peer Environment for Decentralized Federated Learning. CoRR abs/1905.06731 (2019) - [i21]Sebastian Pölsterl, Christian Wachinger:
Likelihood-Free Inference and Generation of Molecular Graphs. CoRR abs/1905.10310 (2019) - [i20]Anne-Marie Rickmann, Abhijit Guha Roy, Ignacio Sarasua, Nassir Navab, Christian Wachinger:
'Project & Excite' Modules for Segmentation of Volumetric Medical Scans. CoRR abs/1906.04649 (2019) - [i19]Christian Wachinger, Benjamín Gutiérrez-Becker, Anna Rieckmann, Sebastian Pölsterl:
Quantifying Confounding Bias in Neuroimaging Datasets with Causal Inference. CoRR abs/1907.04102 (2019) - [i18]Sebastian Pölsterl, Ignacio Sarasua, Benjamín Gutiérrez-Becker, Christian Wachinger:
A Wide and Deep Neural Network for Survival Analysis from Anatomical Shape and Tabular Clinical Data. CoRR abs/1909.03890 (2019) - 2018
- [j10]Christian Wachinger, Martin Reuter, Tassilo Klein:
DeepNAT: Deep convolutional neural network for segmenting neuroanatomy. NeuroImage 170: 434-445 (2018) - [j9]Benjamín Gutiérrez-Becker, Tassilo Klein, Christian Wachinger:
Gaussian process uncertainty in age estimation as a measure of brain abnormality. NeuroImage 175: 246-258 (2018) - [c39]Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger:
Abstract: Fast MRI Whole Brain Segmentation with Fully Convolutional Neural Networks. Bildverarbeitung für die Medizin 2018: 42 - [c38]Shubham Kumar, Sailesh Conjeti, Abhijit Guha Roy, Christian Wachinger, Nassir Navab:
InfiNet: Fully convolutional networks for infant brain MRI segmentation. ISBI 2018: 145-148 - [c37]Benjamín Gutiérrez-Becker, Sergios Gatidis, Daniel Gutmann, Annette Peters, Christopher Schlett, Fabian Bamberg, Christian Wachinger:
Deep Shape Analysis on Abdominal Organs for Diabetes Prediction. ShapeMI@MICCAI 2018: 223-231 - [c36]Abhijit Guha Roy, Nassir Navab, Christian Wachinger:
Concurrent Spatial and Channel 'Squeeze & Excitation' in Fully Convolutional Networks. MICCAI (1) 2018: 421-429 - [c35]Benjamín Gutiérrez-Becker, Christian Wachinger:
Deep Multi-structural Shape Analysis: Application to Neuroanatomy. MICCAI (3) 2018: 523-531 - [c34]Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger:
Inherent Brain Segmentation Quality Control from Fully ConvNet Monte Carlo Sampling. MICCAI (1) 2018: 664-672 - [e2]Martin Reuter, Christian Wachinger, Hervé Lombaert, Beatriz Paniagua, Marcel Lüthi, Bernhard Egger:
Shape in Medical Imaging - International Workshop, ShapeMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings. Lecture Notes in Computer Science 11167, Springer 2018, ISBN 978-3-030-04746-7 [contents] - [i17]Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger:
QuickNAT: Segmenting MRI Neuroanatomy in 20 seconds. CoRR abs/1801.04161 (2018) - [i16]Abhijit Guha Roy, Nassir Navab, Christian Wachinger:
Concurrent Spatial and Channel Squeeze & Excitation in Fully Convolutional Networks. CoRR abs/1803.02579 (2018) - [i15]Benjamín Gutiérrez-Becker, Tassilo Klein, Christian Wachinger:
Gaussian Process Uncertainty in Age Estimation as a Measure of Brain Abnormality. CoRR abs/1804.01296 (2018) - [i14]Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger:
Inherent Brain Segmentation Quality Control from Fully ConvNet Monte Carlo Sampling. CoRR abs/1804.07046 (2018) - [i13]Christian Wachinger, Benjamín Gutiérrez-Becker, Anna Rieckmann:
Detect, Quantify, and Incorporate Dataset Bias: A Neuroimaging Analysis on 12, 207 Individuals. CoRR abs/1804.10764 (2018) - [i12]Benjamín Gutiérrez-Becker, Christian Wachinger:
Deep Multi-Structural Shape Analysis: Application to Neuroanatomy. CoRR abs/1806.01069 (2018) - [i11]Christian Wachinger, Matthew Toews, Georg Langs, William M. Wells III, Polina Golland:
Keypoint Transfer for Fast Whole-Body Segmentation. CoRR abs/1806.08723 (2018) - [i10]Benjamín Gutiérrez-Becker, Sergios Gatidis, Daniel Gutmann, Annette Peters, Christopher Schlett, Fabian Bamberg, Christian Wachinger:
Deep Shape Analysis on Abdominal Organs for Diabetes Prediction. CoRR abs/1808.01946 (2018) - [i9]Abhijit Guha Roy, Nassir Navab, Christian Wachinger:
Recalibrating Fully Convolutional Networks with Spatial and Channel 'Squeeze & Excitation' Blocks. CoRR abs/1808.08127 (2018) - [i8]Shubham Kumar, Sailesh Conjeti, Abhijit Guha Roy, Christian Wachinger, Nassir Navab:
InfiNet: Fully Convolutional Networks for Infant Brain MRI Segmentation. CoRR abs/1810.05735 (2018) - [i7]Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger:
Bayesian QuickNAT: Model Uncertainty in Deep Whole-Brain Segmentation for Structure-wise Quality Control. CoRR abs/1811.09800 (2018) - 2017
- [j8]Christian Wachinger, Matthew S. Brennan, Gregory C. Sharp, Polina Golland:
Efficient Descriptor-Based Segmentation of Parotid Glands With Nonlocal Means. IEEE Trans. Biomed. Eng. 64(7): 1492-1502 (2017) - [c33]Martin Reuter, Christian Wachinger:
Abtract: Shape Analysis in Human Brain MRI. Bildverarbeitung für die Medizin 2017: 358 - [c32]Christian Wachinger, Anna Rieckmann, Martin Reuter:
Latent Processes Governing Neuroanatomical Change in Aging and Dementia. MICCAI (3) 2017: 30-37 - [c31]Benjamín Gutiérrez, Loïc Peter, Tassilo Klein, Christian Wachinger:
A Multi-armed Bandit to Smartly Select a Training Set from Big Medical Data. MICCAI (3) 2017: 38-45 - [c30]Abhijit Guha Roy, Sailesh Conjeti, Debdoot Sheet, Amin Katouzian, Nassir Navab, Christian Wachinger:
Error Corrective Boosting for Learning Fully Convolutional Networks with Limited Data. MICCAI (3) 2017: 231-239 - [i6]Christian Wachinger, Martin Reuter, Tassilo Klein:
DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy. CoRR abs/1702.08192 (2017) - [i5]Abhijit Guha Roy, Sailesh Conjeti, Sri Phani Krishna Karri, Debdoot Sheet, Amin Katouzian, Christian Wachinger, Nassir Navab:
ReLayNet: Retinal Layer and Fluid Segmentation of Macular Optical Coherence Tomography using Fully Convolutional Network. CoRR abs/1704.02161 (2017) - [i4]Abhijit Guha Roy, Sailesh Conjeti, Debdoot Sheet, Amin Katouzian, Nassir Navab, Christian Wachinger:
Error Corrective Boosting for Learning Fully Convolutional Networks with Limited Data. CoRR abs/1705.00938 (2017) - [i3]Benjamín Gutiérrez, Loïc Peter, Tassilo Klein, Christian Wachinger:
A Multi-Armed Bandit to Smartly Select a Training Set from Big Medical Data. CoRR abs/1705.08111 (2017) - 2016
- [j7]Christian Wachinger, Martin Reuter:
Domain adaptation for Alzheimer's disease diagnostics. NeuroImage 139: 470-479 (2016) - [e1]Martin Reuter, Christian Wachinger, Hervé Lombaert:
Spectral and Shape Analysis in Medical Imaging - First International Workshop, SeSAMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Revised Selected Papers. Lecture Notes in Computer Science 10126, Springer 2016, ISBN 978-3-319-51236-5 [contents] - 2015
- [j6]Christian Wachinger, Polina Golland, William S. Kremen, Bruce Fischl, Martin Reuter:
BrainPrint: A discriminative characterization of brain morphology. NeuroImage 109: 232-248 (2015) - [c29]Christian Wachinger, Matthew Toews, Georg Langs, William M. Wells III, Polina Golland:
Keypoint Transfer Segmentation. IPMI 2015: 233-245 - [c28]Matthew Toews, Christian Wachinger, Raúl San José Estépar, William M. Wells III:
A Feature-Based Approach to Big Data Analysis of Medical Images. IPMI 2015: 339-350 - [c27]Christian Wachinger, Polina Golland:
Sampling from Determinantal Point Processes for Scalable Manifold Learning. IPMI 2015: 687-698 - [i2]Christian Wachinger, Polina Golland:
Diverse Landmark Sampling from Determinantal Point Processes for Scalable Manifold Learning. CoRR abs/1503.03506 (2015) - 2014
- [j5]Caroline Magnain, Jean Augustinack, Martin Reuter, Christian Wachinger, Matthew P. Frosch, Timothy Ragan, Taner Akkin, Van J. Wedeen, David A. Boas, Bruce Fischl:
Blockface histology with optical coherence tomography: A comparison with Nissl staining. NeuroImage 84: 524-533 (2014) - [c26]Christian Wachinger, Polina Golland, Martin Reuter:
BrainPrint : Identifying Subjects by Their Brain. MICCAI (3) 2014: 41-48 - [c25]Christian Wachinger, Polina Golland, Martin Reuter, William M. Wells III:
Gaussian Process Interpolation for Uncertainty Estimation in Image Registration. MICCAI (1) 2014: 267-274 - [c24]Christian Wachinger, Polina Golland:
Atlas-Based Under-Segmentation. MICCAI (1) 2014: 315-322 - 2013
- [j4]Christian Wachinger, Nassir Navab:
Simultaneous Registration of Multiple Images: Similarity Metrics and Efficient Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 35(5): 1221-1233 (2013) - [c23]George H. Chen, Christian Wachinger, Polina Golland:
Sparse Projections of Medical Images onto Manifolds. IPMI 2013: 292-303 - [c22]Christian Wachinger, Gregory C. Sharp, Polina Golland:
Contour-Driven Regression for Label Inference in Atlas-Based Segmentation. MICCAI (3) 2013: 211-218 - [i1]George H. Chen, Christian Wachinger, Polina Golland:
Sparse Projections of Medical Images onto Manifolds. CoRR abs/1303.5508 (2013) - 2012
- [j3]Christian Wachinger, Nassir Navab:
Entropy and Laplacian images: Structural representations for multi-modal registration. Medical Image Anal. 16(1): 1-17 (2012) - [j2]Christian Wachinger, Mehmet Yigitsoy, Erik-Jan Rijkhorst, Nassir Navab:
Manifold learning for image-based breathing gating in ultrasound and MRI. Medical Image Anal. 16(4): 806-818 (2012) - [j1]Christian Wachinger, Tassilo Klein, Nassir Navab:
The 2D analytic signal for envelope detection and feature extraction on ultrasound images. Medical Image Anal. 16(6): 1073-1084 (2012) - [c21]Christian Wachinger, Nassir Navab:
A contextual maximum likelihood framework for modeling image registration. CVPR 2012: 1995-2002 - [c20]Mehdi Moradi, Christian Wachinger, Andriy Fedorov, William M. Wells III, Tina Kapur, Luciant D. Wolfsberger, Paul Nguyen, Clare M. Tempany:
MRI Confirmed Prostate Tissue Classification with Laplacian Eigenmaps of Ultrasound RF Spectra. MLMI 2012: 19-26 - [c19]Christian Wachinger, Polina Golland:
Spectral Label Fusion. MICCAI (3) 2012: 410-417 - 2011
- [b1]Christian Wachinger:
Ultrasound Mosaicing and Motion Modeling - Applications in Medical Image Registration. Universität München, 2011, pp. I-XII, 1-251 - [c18]Christian Wachinger, Tassilo Klein, Nassir Navab:
The 2D Analytic Signal on RF and B-Mode Ultrasound Images. IPMI 2011: 359-370 - [c17]Mehmet Yigitsoy, Christian Wachinger, Nassir Navab:
Temporal Groupwise Registration for Motion Modeling. IPMI 2011: 648-659 - [c16]Stefanie Demirci, Ali Bigdelou, Lejing Wang, Christian Wachinger, Maximilian Baust, Radhika Tibrewal, Reza Ghotbi, Hans-Henning Eckstein, Nassir Navab:
3D Stent Recovery from One X-Ray Projection. MICCAI (1) 2011: 178-185 - [c15]Mehmet Yigitsoy, Christian Wachinger, Nassir Navab:
Manifold learning for image-based breathing gating in MRI. Medical Imaging: Image Processing 2011: 796210 - [p1]Christian Wachinger:
Ultraschall-Mosaicing und Bewegungsmodellierung: Anwendungen der medizinischen Bildregistrierung. Ausgezeichnete Informatikdissertationen 2011: 251-260 - 2010
- [c14]Christian Wachinger, Nassir Navab:
Manifold Learning for Multi-Modal Image Registration. BMVC 2010: 1-12 - [c13]Christian Wachinger, Nassir Navab:
Structural image representation for image registration. CVPR Workshops 2010: 23-30 - [c12]Christian Wachinger, Diana Mateus, Andreas Keil, Nassir Navab:
Manifold learning for patient position detection in MRI. ISBI 2010: 1353-1356 - [c11]Christian Wachinger, Mehmet Yigitsoy, Nassir Navab:
Manifold Learning for Image-Based Breathing Gating with Application to 4D Ultrasound. MICCAI (2) 2010: 26-33
2000 – 2009
- 2009
- [c10]Christian Wachinger, Ramtin Shams, Nassir Navab:
Towards an Estimation of Acoustic Impedance from Multiple Ultrasound Images. Bildverarbeitung für die Medizin 2009: 405-409 - [c9]Ben Glocker, Christian Wachinger, Jochen Zeltner, Nikos Paragios, Nikos Komodakis, Michael Sass Hansen, Nassir Navab:
MRI Composing for Whole Body Imaging. Bildverarbeitung für die Medizin 2009: 420-424 - [c8]Christian Wachinger, Nassir Navab:
Similarity metrics and efficient optimization for simultaneous registration. CVPR 2009: 667-674 - [c7]Christian Wachinger, Nassir Navab:
Alignment of Viewing-Angle Dependent Ultrasound Images. MICCAI (1) 2009: 779-786 - [c6]Christian Wachinger, Simon Baumann, Jochen Zeltner, Ben Glocker, Nassir Navab:
Sphere extraction in MR images with application to whole-body MRI. Medical Imaging: Image Processing 2009: 72594J - 2008
- [c5]Christian Wachinger, Ramtin Shams, Nassir Navab:
Estimation of acoustic impedance from multiple ultrasound images with application to spatial compounding. CVPR Workshops 2008: 1-8 - [c4]Christian Wachinger, Ben Glocker, Jochen Zeltner, Nikos Paragios, Nikos Komodakis, Michael Sass Hansen, Nassir Navab:
Deformable Mosaicing for Whole-Body MRI. MICCAI (2) 2008: 113-121 - [c3]Christian Wachinger, Nassir Navab:
Ultrasound specific similarity measures for three-dimensional mosaicing. Medical Imaging: Image Processing 2008: 69140F - 2007
- [c2]Christian Wachinger, Wolfgang Wein, Nassir Navab:
Three-Dimensional Ultrasound Mosaicing. MICCAI (2) 2007: 327-335 - 2006
- [c1]Andreas Keil, Christian Wachinger, Gerhard Brinker, Stefan Thesen, Nassir Navab:
Patient Position Detection for SAR Optimization in Magnetic Resonance Imaging. MICCAI (2) 2006: 49-57
Coauthor Index
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