Publications

113 entries « 1 of 3 »

2021

TransforMesh: A Transformer Network for Longitudinal modeling of Anatomical Meshes

Sarasua, Ignacio; Pölsterl, Sebastian; Wachinger, Christian

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

Machine Learning in Medical Imaging (MLMI), Forthcoming.

Abstract | Links | BibTeX

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

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

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

Machine Learning in Medical Imaging (MLMI), Forthcoming.

Abstract | Links | BibTeX

Alzheimer's Disease Diagnosis via Deep Factorization Machine Models

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

Alzheimer's Disease Diagnosis via Deep Factorization Machine Models Conference Forthcoming

Machine Learning in Medical Imaging (MLMI), Forthcoming.

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

Pölsterl, Sebastian; Aigner, Christina; Wachinger, Christian

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

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

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

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

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

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

Abstract | Links | BibTeX

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

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.

Abstract | Links | BibTeX

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

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.

Abstract | Links | BibTeX

2020

Detect and correct bias in multi-site neuroimaging datasets

Wachinger, Christian; Rieckmann, Anna; Pölsterl, Sebastian

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

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

Abstract | Links | BibTeX

Adversarial Learned Molecular Graph Inference and Generation

Pölsterl, Sebastian; Wachinger, Christian

Adversarial Learned Molecular Graph Inference and Generation Inproceedings

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

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Increased Hippocampal Shape Asymmetry and Volumetric Ventricular Asymmetry in Autism

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

NeuroImage: Clinical, pp. 102207, 2020.

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Recalibrating 3D ConvNets with Project & Excite

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

Recalibrating 3D ConvNets with Project & Excite Journal Article

IEEE Transactions on Medical Imaging, 2020.

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

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

Academic Radiology, 2020.

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Shape in Medical Imaging

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

Shape in Medical Imaging Miscellaneous

2020.

BibTeX

Importance Driven Continual Learning for Segmentation Across Domains

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

Importance Driven Continual Learning for Segmentation Across Domains Inproceedings

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.

Abstract | Links | BibTeX

Bayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers

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

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

Recalibration of Neural Networks for Point Cloud Analysis

Sarasua, Ignacio; Poelsterl, Sebastian; Wachinger, Christian

Recalibration of Neural Networks for Point Cloud Analysis Inproceedings

3DV, 2020.

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

Gutierrez-Becker Benjamin ; Sarasua Ignacio ; Wachinger, Christian

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

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

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2019

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

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

NeuroImage, 2019.

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

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

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

Medical Image Analysis, 2019.

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

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

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

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Prediction of Fluid Intelligence from T1-Weighted Magnetic Resonance Images

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

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

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

Abstract | Links | BibTeX

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

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

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

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

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

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

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Quantifying Confounding Bias in Neuroimaging Datasets with Causal Inference

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

Quantifying Confounding Bias in Neuroimaging Datasets with Causal Inference Incollection

Medical Image Computing and Computer Aided Intervention, 2019.

Abstract | Links | BibTeX

Learning a Conditional Generative Model for Anatomical Shape Analysis

Gutiérrez-Becker, Benjamin; Wachinger, Christian

Learning a Conditional Generative Model for Anatomical Shape Analysis Inproceedings

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

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

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

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

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

Abhijit Guha Roy Sailesh Conjeti, Nassir Navab Christian Wachinger

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

NeuroImage, 195 , 2019.

Abstract | Links | BibTeX

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

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

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

arXiv preprint arXiv:1905.06731, 2019.

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2018

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

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

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

NeuroImage, 2018.

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Shape in Medical Imaging: International Workshop, ShapeMI 2018

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

Keypoint Transfer for Fast Whole-Body Segmentation

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

Keypoint Transfer for Fast Whole-Body Segmentation Journal Article

IEEE Transactions on Medical Imaging, 2018.

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Deep Shape Analysis on Abdominal Organs for Diabetes Prediction

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

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

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

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

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

IEEE Transactions on Medical Imaging, 2018.

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Deep Multi-Structural Shape Analysis: Application to Neuroanatomy

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

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

MICCAI 2018, Forthcoming.

Abstract | Links | BibTeX

Concurrent Spatial and Channel Squeeze & Excitation in Fully Convolutional Networks

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

Inherent Brain Segmentation Quality Control from Fully ConvNet Monte Carlo Sampling

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

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

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

Biological Psychiatry, 2018.

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

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

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

NeuroImage, 2018.

Abstract | Links | BibTeX

Fast MRI Whole Brain Segmentation with Fully Convolutional Neural Networks

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

Fast MRI Whole Brain Segmentation with Fully Convolutional Neural Networks Incollection

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

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2017

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

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

Guiding Multimodal Registration with Learned Optimization Updates

Gutierrez-Becker, Benjamin ; Mateus, Diana ; Peter, Loic ; Navab, Nassir

Guiding Multimodal Registration with Learned Optimization Updates Journal Article

Medical Image Analysis, 2017.

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Riva, Marco ; Hennersperger, Christoph ; Milletari, Fausto ; Katouzian, Amin ; Pessina, Federico ; Gutierrez-Becker, Benjamin ; Castellano, Antonella ; Navab, Nassir ; Bello, Lorenzo

3D intra-operative ultrasound and MR image guidance: pursuing an ultrasound-based management of brainshift to enhance neuronavigation Journal Article

International Journal of Computer Assisted Radiology and Surgery, pp. 1–15, 2017.

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Reuter, Martin ; Wachinger, Christian

Abtract: Shape Analysis in Human Brain MRI Incollection

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

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DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy

Wachinger, Christian ; Reuter, Martin ; Klein, Tassilo

DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy Journal Article

NeuroImage, 2017.

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Conjeti, Sailesh ; Guha Roy, Abhijit ; Katouzian, Amin ; Navab, Nassir

Deep Residual Hashing Journal Article

Accepted at MICCAI 2017, 2017.

BibTeX

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

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

Accepted at Biomedical Optics Express, 2017.

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Error Corrective Boosting for Learning Fully Convolutional Networks with Limited Data

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

Accepted at MICCAI 2017, 2017.

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Latent Processes Governing Neuroanatomical Change in Aging and Dementia

Wachinger, Christian ; Rieckmann, Anna ; Reuter, Martin

Latent Processes Governing Neuroanatomical Change in Aging and Dementia Inproceedings

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

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

Wachinger, Christian ; Volkmer, Susanne ; Bublath, Katharina ; Bruder, Jennifer ; Bartling, J{ü}rgen ; Schulte-K{ö}rne, Gerd

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

NeuroImage: Clinical, 2017.

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2016

Dubost, Florian ; Peter, Loic ; Rupprecht, Christian ; Gutierrez-Becker, Benjamin ; Navab, Nassir

Hands-Free Segmentation of Medical Volumes via Binary Inputs Proceeding

Springer International Publishing 2016.

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113 entries « 1 of 3 »