Christian Wachinger

wachinger
I am heading the laboratory for Artificial Intelligence in Medical Imaging. I have previously completed post-doctoral training at the Medical Vision Group in the Computer Science and Artificial Intelligence Lab at MIT and the Lab for Computational Neuroimaging, Department of Neurology at Harvard medical school. I received my PhD and Diploma from the Computer Science Department at TU München.

Tel:  089 4400 56900
Email:  christian at ai-med dot de
Networks:  Research Gate  |  LinkedIn  |  ORCID
Publications:  Google Scholar  |  DBLP  |  arXiv

Code:  GitHub
Demo:  QuickNAT
Old websites:  MIT  |  TUM

Publications

106 entries « 1 of 3 »

Rickmann, Anne-Marie; Bongratz, Fabian; P"olsterl, Sebastian; Sarasua, Ignacio; Wachinger, Christian

Joint Reconstruction and Parcellation of Cortical Surfaces Inproceedings

In: International Workshop on Machine Learning in Clinical Neuroimaging, pp. 3–12, Springer, 2022.

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Wolf, Tom Nuno; Pölsterl, Sebastian; Wachinger, Christian

DAFT: A Universal Module to Interweave Tabular Data and 3D Images in CNNs Journal Article

In: NeuroImage, pp. 119505, 2022.

Abstract | Links | BibTeX

Bongratz, Fabian; Rickmann, Anne-Marie; Pölsterl, Sebastian; Wachinger, Christian

Vox2Cortex: Fast Explicit Reconstruction of Cortical Surfaces from 3D MRI Scans with Geometric Deep Neural Networks Inproceedings

In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

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Ignacio Sarasua, Sebastian Pölsterl; Wachinger, Christian

Hippocampal Representations for Deep Learning on Alzheimer's Disease Journal Article

In: Scientific reports, 12 (1), pp. 1-13, 2022, ISSN: 2045-2322.

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Ronge, Raphael; Nho, Kwangsik; Wachinger, Christian; Pölsterl, Sebastian

Alzheimer's Disease Diagnosis via Deep Factorization Machine Models Conference

Machine Learning in Medical Imaging (MLMI), 2021.

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Gröger, Fabian; Rickmann, Anne-Marie; Wachinger, Christian

STRUDEL: Self-Training with Uncertainty Dependent Label Refinement across Domains Conference

Machine Learning in Medical Imaging (MLMI), 2021.

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Sarasua, Ignacio; Pölsterl, Sebastian; Wachinger, Christian

TransforMesh: A Transformer Network for Longitudinal modeling of Anatomical Meshes Conference

Machine Learning in Medical Imaging (MLMI), 2021.

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Pölsterl, Sebastian; Aigner, Christina; Wachinger, Christian

Scalable, Axiomatic Explanations of Deep Alzheimer's Diagnosis from Heterogeneous Data Conference

Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021.

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Pölsterl, Sebastian; Wolf, Tom Nuno; Wachinger, Christian

Combining 3D Image and Tabular Data via the Dynamic Affine Feature Map Transform Conference

Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021.

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Sarasua, Ignacio; Lee, Jonwong; Wachinger, Christian

Geometric Deep Learning on Anatomical Meshes for the Prediction of Alzheimer's Disease Conference

ISBI: International Symposium on Biomedical Imaging 2021, 2021.

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Pölsterl, Sebastian; Wachinger, Christian

Estimation of Causal Effects in the Presence of Unobserved Confounding in the Alzheimer's Continuum Conference

IPMI: International Conference on Information Processing in Medical Imaging 2021, 2021.

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Wachinger, Christian; Rieckmann, Anna; Pölsterl, Sebastian

Detect and correct bias in multi-site neuroimaging datasets Journal Article

In: Medical Image Analysis, 67 , pp. 101879, 2020.

Abstract | Links | BibTeX

Pölsterl, Sebastian; Wachinger, Christian

Adversarial Learned Molecular Graph Inference and Generation Inproceedings

In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2020.

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Richards, Rose; Greimel, Ellen; Kliemann, Dorit; Koerte, Inga K; Schulte-Körne, Gerd; Reuter, Martin; Wachinger, Christian

Increased Hippocampal Shape Asymmetry and Volumetric Ventricular Asymmetry in Autism Journal Article

In: NeuroImage: Clinical, pp. 102207, 2020.

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Rickmann, Anne-Marie; Roy, Abhijit Guha; Sarasua, Ignacio; Wachinger, Christian

Recalibrating 3D ConvNets with Project & Excite Journal Article

In: IEEE Transactions on Medical Imaging, 2020.

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Gutmann, Daniel AP; Rospleszcz, Susanne; Rathmann, Wolfgang; Schlett, Christopher L; Peters, Annette; Wachinger, Christian; Gatidis, Sergios; Bamberg, Fabian

MRI-Derived Radiomics Features of Hepatic Fat Predict Metabolic States in Individuals without Cardiovascular Disease Journal Article

In: Academic Radiology, 2020.

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Reuter, Martin; Wachinger, Christian; Lombaert, Hervé; Paniagua, Beatriz; Goksel, Orcun; Rekik, Islem

Shape in Medical Imaging Miscellaneous

2020.

BibTeX

Özgün, Sinan; Rickmann, Anne-Marie; Roy, Abhijit Guha; Wachinger, Christian

Importance Driven Continual Learning for Segmentation Across Domains Inproceedings

In: Liu, Mingxia; Yan, Pingkun; Lian, Chunfeng; Cao, Xiaohuan (Ed.): Machine Learning in Medical Imaging, pp. 423–433, Springer International Publishing, Cham, 2020, ISBN: 978-3-030-59861-7.

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Senapati, Jyotirmay; Roy, Abhijit Guha; Pölsterl, Sebastian; Gutmann, Daniel; Gatidis, Sergios; Schlett, Christopher; Peters, Anette; Bamberg, Fabian; Wachinger, Christian

Bayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers Inproceedings

In: Liu, Mingxia; Yan, Pingkun; Lian, Chunfeng; Cao, Xiaohuan (Ed.): Machine Learning in Medical Imaging, pp. 270–280, Springer International Publishing, Cham, 2020, ISBN: 978-3-030-59861-7.

Abstract | Links | BibTeX

Sarasua, Ignacio; Poelsterl, Sebastian; Wachinger, Christian

Recalibration of Neural Networks for Point Cloud Analysis Inproceedings

In: 3DV, 2020.

Abstract | Links | BibTeX

Benjamin ; Sarasua Ignacio ; Wachinger Gutierrez-Becker, Christian

Discriminative and generative models for anatomical shape analysis on point clouds with deep neural networks Journal Article

In: Medical Image Analysis, 67 , pp. 101852, 2020.

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Chauvin, L.; Kumar, K.; Wachinger, C.; Vangel, M.; de Guise, J.; Desrosiers, C.; Wells, W.; Toews, M.

Neuroimage signature from salient keypoints is highly specific to individuals and shared by close relatives Journal Article

In: NeuroImage, 2019.

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Roy, Abhijit Guha; Siddiqui, Shayan; Pölsterl, Sebastian; Navab, Nassir; Wachinger, Christian

'Squeeze & Excite' Guided Few-Shot Segmentation of Volumetric Images Journal Article

In: Medical Image Analysis, 2019.

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Pölsterl, Sebastian; Gutiérrez-Becker, Benjamı́n; Sarasua, Ignacio; Roy, Abhijit Guha; Wachinger, Christian

An AutoML Approach for the Prediction of Fluid Intelligence from MRI-Derived Features Inproceedings

In: Adolescent Brain Cognitive Development Neurocognitive Prediction Challenge (ABCD-NP-Challenge), 2019.

Abstract | Links | BibTeX

Pölsterl, Sebastian; Gutiérrez-Becker, Benjamı́n; Sarasua, Ignacio; Roy, Abhijit Guha; Wachinger, Christian

Prediction of Fluid Intelligence from T1-Weighted Magnetic Resonance Images Inproceedings

In: Adolescent Brain Cognitive Development Neurocognitive Prediction Challenge (ABCD-NP-Challenge), 2019.

Abstract | Links | BibTeX

Pölsterl, Sebastian; Sarasua, Ignacio; Gutiérrez-Becker, Benjamín; Wachinger, Christian

A Wide and Deep Neural Network for Survival Analysis from Anatomical Shape and Tabular Clinical Data Inproceedings

In: Data and Machine Learning Advances with Multiple Views Workshop, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2019.

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Rickmann, Anne-Marie; Roy, Abhijit Guha; Sarasua, Ignacio; Navab, Nassir; Wachinger, Christian

'Project & Excite' Modules for Segmentation of Volumetric Medical Scans Inproceedings

In: Medical Image Computing and Computer Aided Intervention, Springer, 2019.

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Wachinger, Christian; Becker, Benjamin Gutierrez; Rieckmann, Anna; Pölsterl, Sebastian

Quantifying Confounding Bias in Neuroimaging Datasets with Causal Inference Incollection

In: Medical Image Computing and Computer Aided Intervention, 2019.

Abstract | Links | BibTeX

Gutiérrez-Becker, Benjamin; Wachinger, Christian

Learning a Conditional Generative Model for Anatomical Shape Analysis Inproceedings

In: International Conference on Information Processing in Medical Imaging (IPMI), pp. 505–516, Springer 2019.

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Paschali, Magdalini; Simson, Walter; Roy, Abhijit Guha; Naeem, Muhammad Ferjad; Göbl, Rüdiger; Wachinger, Christian; Navab, Nassir

Manifold Exploring Data Augmentation with Geometric Transformations for Increased Performance and Robustness Journal Article

In: International Conference on Information Processing in Medical Imaging (IPMI), 2019.

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Sailesh Conjeti Abhijit Guha Roy, Nassir Navab

Bayesian QuickNAT: Model uncertainty in deep whole-brain segmentation for structure-wise quality control Journal Article

In: NeuroImage, 195 , 2019.

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Roy, Abhijit Guha; Siddiqui, Shayan; Pölsterl, Sebastian; Navab, Nassir; Wachinger, Christian

Braintorrent: A peer-to-peer environment for decentralized federated learning Journal Article

In: arXiv preprint arXiv:1905.06731, 2019.

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Roy, Abhijit Guha; Conjeti, Sailesh; Navab, Nassir; Wachinger, Christian

QuickNAT: A Fully Convolutional Network for Quick and Accurate Segmentation of Neuroanatomy Journal Article

In: NeuroImage, 2018.

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Reuter, Martin; Wachinger, Christian; Lombaert, Hervé; Paniagua, Beatriz; Lüthi, Marcel; Egger, Bernhard

Shape in Medical Imaging: International Workshop, ShapeMI 2018 Book

Granada, Spain, Springer, 2018.

BibTeX

Wachinger, C.; Toews, M.; Langs, G.; Wells, W.; Golland, P.

Keypoint Transfer for Fast Whole-Body Segmentation Journal Article

In: IEEE Transactions on Medical Imaging, 2018.

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Gutiérrez-Becker, Benjamin; Gatidis, Sergios; Gutmann, Daniel; Peters, Annette; Schlett, Christopher; Bamberg, Fabian; Wachinger, Christian

Deep Shape Analysis on Abdominal Organs for Diabetes Prediction Inproceedings

In: International Workshop on Shape in Medical Imaging, pp. 223–231, Springer 2018.

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Roy, Abhijit Guha; Navab, Nassir; Wachinger, Christian

Recalibrating Fully Convolutional Networks with Spatial and Channel 'Squeeze & Excitation' Blocks Journal Article

In: IEEE Transactions on Medical Imaging, 2018.

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Gutierrez-Becker, Benjamin; Klein, Tassilo; Wachinger, Christian

Deep Multi-Structural Shape Analysis: Application to Neuroanatomy Conference Forthcoming

MICCAI 2018, Forthcoming.

Abstract | Links | BibTeX

Roy, Abhijit Guha; Navab, Nassir; Wachinger, Christian

Concurrent Spatial and Channel Squeeze & Excitation in Fully Convolutional Networks Conference Forthcoming

Accepted at MICCAI 2018, Forthcoming.

Abstract | Links | BibTeX

Roy, Abhijit Guha; Conjeti, Sailesh; Navab, Nassir; Wachinger, Christian

Inherent Brain Segmentation Quality Control from Fully ConvNet Monte Carlo Sampling Conference Forthcoming

Accepted at MICCAI 2018, Forthcoming.

Abstract | Links | BibTeX

Wachinger, Christian; Nho, Kwangsik; Saykin, Andrew J; Reuter, Martin; Rieckmann, Anna

A Longitudinal Imaging Genetics Study of Neuroanatomical Asymmetry in Alzheimer’s Disease Journal Article

In: Biological Psychiatry, 2018.

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Gutierrez-Becker, Benjamin; Klein, Tassilo; Wachinger, Christian

Gaussian process uncertainty in age estimation as a measure of brain abnormality Journal Article

In: NeuroImage, 2018.

Abstract | Links | BibTeX

Roy, Abhijit Guha; Conjeti, Sailesh; Navab, Nassir; Wachinger, Christian

Fast MRI Whole Brain Segmentation with Fully Convolutional Neural Networks Incollection

In: Bildverarbeitung für die Medizin 2018, pp. 42–42, Springer, 2018.

BibTeX

Gutierrez-Becker, Benjamin; Peter, Loic; Klein, Tassilo; Wachinger, Christian

A Multi-Armed Bandit to Smartly Select a Training Set from Big Medical Data Conference

Proceedings of MICCAI 2017, Elsevier, 2017.

Abstract | Links | BibTeX

Reuter, Martin; Wachinger, Christian

Abtract: Shape Analysis in Human Brain MRI Incollection

In: Bildverarbeitung für die Medizin 2017, pp. 358–358, Springer Vieweg, Berlin, Heidelberg, 2017.

BibTeX

Wachinger, Christian; Reuter, Martin; Klein, Tassilo

DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy Journal Article

In: NeuroImage, 2017.

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Guha Roy, Abhijit; Conjeti, Sailesh; Karri, Sri Phani Krishna; Sheet, Debdoot; Katouzian, Amin; Wachinger, Christian; Navab, Nassir

ReLayNet: Retinal Layer and Fluid Segmentation of Macular Optical Coherence Tomography using Fully Convolutional Network Journal Article

In: Accepted at Biomedical Optics Express, 2017.

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Guha Roy, Abhijit; Conjeti, Sailesh; Sheet, Debdoot; Katouzian, Amin; Navab, Nassir; Wachinger, Christian

Error Corrective Boosting for Learning Fully Convolutional Networks with Limited Data Journal Article

In: Accepted at MICCAI 2017, 2017.

BibTeX

Wachinger, Christian; Rieckmann, Anna; Reuter, Martin

Latent Processes Governing Neuroanatomical Change in Aging and Dementia Inproceedings

In: International Conference on Medical Image Computing and Computer-Assisted Intervention, Springer 2017.

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Wachinger, Christian; Volkmer, Susanne; Bublath, Katharina; Bruder, Jennifer; Bartling, Jürgen; Schulte-Körne, Gerd

Does the late positive component reflect successful reading acquisition? A longitudinal ERP study Journal Article

In: NeuroImage: Clinical, 2017.

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106 entries « 1 of 3 »