Christian Wachinger

Medical Image Anal., 2024

DiaMond: Dementia Diagnosis with Multi-Modal Vision Transformers Using MRI and PET.

[BibT_eX]

[DOI]

CoRR, 2024

Stable-Pose: Leveraging Transformers for Pose-Guided Text-to-Image Generation.

[BibT_eX]

[DOI]

CoRR, 2024

From Barlow Twins to Triplet Training: Differentiating Dementia with Limited Data.

[BibT_eX]

[DOI]

CoRR, 2024

Stochastic Cortical Self-Reconstruction.

[BibT_eX]

[DOI]

Dennis M. Hedderich

Gabriel Efrain Humpire Mamani

CoRR, 2024

V2C-Long: Longitudinal Cortex Reconstruction with Spatiotemporal Correspondence.

[BibT_eX]

[DOI]

CoRR, 2024

Mamba? Catch The Hype Or Rethink What Really Helps for Image Registration.

[BibT_eX]

[DOI]

Proceedings of the Biomedical Image Registration - 11th International Workshop, 2024

PASTA: Pathology-Aware MRI to PET CroSs-modal TrAnslation with Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

H-ViT: A Hierarchical Vision Transformer for Deformable Image Registration.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Keep the Faith: Faithful Explanations in Convolutional Neural Networks for Case-Based Reasoning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

The Liver Tumor Segmentation Benchmark (LiTS).

[BibT_eX]

[DOI]

Patrick Bilic

Patrick Ferdinand Christ

Michal Marianne Amitai

Krishna Chaitanya Kaluva

Tomasz K. Konopczynski

Avinash Kori

Ganapathy Krishnamurthi

Kevis-Kokitsi Maninis

Medical Image Anal., 2023

Meshes Meet Voxels: Abdominal Organ Segmentation via Diffeomorphic Deformations.

[BibT_eX]

[DOI]

CoRR, 2023

RegBN: Batch Normalization of Multimodal Data with Regularization.

[BibT_eX]

[DOI]

Morteza Ghahremani

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Vertex Correspondence in Cortical Surface Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Don't PANIC: Prototypical Additive Neural Network for Interpretable Classification of Alzheimer's Disease.

[BibT_eX]

[DOI]

Tom Nuno Wolf

Proceedings of the Information Processing in Medical Imaging, 2023

HALOS: Hallucination-Free Organ Segmentation After Organ Resection Surgery.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2023

2022

DAFT: A universal module to interweave tabular data and 3D images in CNNs.

[BibT_eX]

[DOI]

Tom Nuno Wolf

Alzheimer's Disease Neuroimaging Initiative

Australian Imaging Biomarkers Lifestyle flagship study of ageing

NeuroImage, 2022

AbdomenNet: deep neural network for abdominal organ segmentation in epidemiologic imaging studies.

[BibT_eX]

[DOI]

BMC Medical Imaging, 2022

CASHformer: Cognition Aware SHape Transformer for Longitudinal Analysis.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Joint Reconstruction and Parcellation of Cortical Surfaces.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Clinical Neuroimaging - 5th International Workshop, 2022

Is a PET All You Need? A Multi-modal Study for Alzheimer's Disease Using 3D CNNs.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

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

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Detect and correct bias in multi-site neuroimaging datasets.

[BibT_eX]

[DOI]

Medical Image Anal., 2021

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

[BibT_eX]

[DOI]

Medical Image Anal., 2021

The Medical Segmentation Decathlon.

[BibT_eX]

[DOI]

Annette Kopp-Schneider

Patrick Ferdinand Christ

Jennifer Goli-Pernicka

CoRR, 2021

Semi-Structured Deep Piecewise Exponential Models.

[BibT_eX]

[DOI]

Proceedings of AAAI Symposium on Survival Prediction, 2021

TransforMesh: A Transformer Network for Longitudinal Modeling of Anatomical Meshes.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Alzheimer's Disease Diagnosis via Deep Factorization Machine Models.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

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

[BibT_eX]

[DOI]

Tom Nuno Wolf

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

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

[BibT_eX]

[DOI]

Christina Aigner

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

STRUDEL: Self-training with Uncertainty Dependent Label Refinement Across Domains.

[BibT_eX]

[DOI]

Fabian Gröger

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

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

[BibT_eX]

[DOI]

Jonwong Lee

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

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

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2021

2020

Keypoint Transfer for Fast Whole-Body Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2020

Recalibrating 3D ConvNets With Project & Excite.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2020

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

[BibT_eX]

[DOI]

NeuroImage, 2020

'Squeeze & excite' guided few-shot segmentation of volumetric images.

[BibT_eX]

[DOI]

Medical Image Anal., 2020

Discriminative and Generative Models for Anatomical Shape Analysison Point Clouds with Deep Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Controlling for Unknown Confounders in Neuroimaging.

[BibT_eX]

[DOI]

CoRR, 2020

Adversarial Learned Molecular Graph Inference and Generation.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Bayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Importance Driven Continual Learning for Segmentation Across Domains.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Recalibration of Neural Networks for Point Cloud Analysis.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on 3D Vision, 2020

2019

Recalibrating Fully Convolutional Networks With Spatial and Channel "Squeeze and Excitation" Blocks.

[BibT_eX]

[DOI]

Alzheimer's Disease Neuroimaging Initiative

IEEE Trans. Medical Imaging, 2019

QuickNAT: A fully convolutional network for quick and accurate segmentation of neuroanatomy.

[BibT_eX]

[DOI]

NeuroImage, 2019

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

[BibT_eX]

[DOI]

NeuroImage, 2019

Likelihood-Free Inference and Generation of Molecular Graphs.

[BibT_eX]

[DOI]

CoRR, 2019

BrainTorrent: A Peer-to-Peer Environment for Decentralized Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2019

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

[BibT_eX]

[DOI]

Magdalini Paschali

Walter Simson

Muhammad Ferjad Naeem

Rüdiger Göbl

CoRR, 2019

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

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Quantifying Confounding Bias in Neuroimaging Datasets with Causal Inference.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

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

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

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

[BibT_eX]

[DOI]

Proceedings of the Adolescent Brain Cognitive Development Neurocognitive Prediction, 2019

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

[BibT_eX]

[DOI]

Proceedings of the Adolescent Brain Cognitive Development Neurocognitive Prediction, 2019

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

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2019

Learning a Conditional Generative Model for Anatomical Shape Analysis.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2019

2018

DeepNAT: Deep convolutional neural network for segmenting neuroanatomy.

[BibT_eX]

[DOI]

NeuroImage, 2018

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

[BibT_eX]

[DOI]

NeuroImage, 2018

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

[BibT_eX]

[DOI]

CoRR, 2018

Detect, Quantify, and Incorporate Dataset Bias: A Neuroimaging Analysis on 12, 207 Individuals.

[BibT_eX]

[DOI]

CoRR, 2018

QuickNAT: Segmenting MRI Neuroanatomy in 20 seconds.

[BibT_eX]

[DOI]

CoRR, 2018

Concurrent Spatial and Channel 'Squeeze & Excitation' in Fully Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Inherent Brain Segmentation Quality Control from Fully ConvNet Monte Carlo Sampling.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Deep Shape Analysis on Abdominal Organs for Diabetes Prediction.

[BibT_eX]

[DOI]

Proceedings of the Shape in Medical Imaging, 2018

Deep Multi-structural Shape Analysis: Application to Neuroanatomy.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

InfiNet: Fully convolutional networks for infant brain MRI segmentation.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Abstract: Fast MRI Whole Brain Segmentation with Fully Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018

2017

Efficient Descriptor-Based Segmentation of Parotid Glands With Nonlocal Means.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2017

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

[BibT_eX]

[DOI]

Sailesh Conjeti

Sri Phani Krishna Karri

CoRR, 2017

Latent Processes Governing Neuroanatomical Change in Aging and Dementia.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Error Corrective Boosting for Learning Fully Convolutional Networks with Limited Data.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

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

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Abtract: Shape Analysis in Human Brain MRI.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017

2016

Domain adaptation for Alzheimer's disease diagnostics.

[BibT_eX]

[DOI]

NeuroImage, 2016

2015

BrainPrint: A discriminative characterization of brain morphology.

[BibT_eX]

[DOI]

NeuroImage, 2015

Diverse Landmark Sampling from Determinantal Point Processes for Scalable Manifold Learning.

[BibT_eX]

[DOI]

CoRR, 2015

Keypoint Transfer Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2015

Sampling from Determinantal Point Processes for Scalable Manifold Learning.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2015

A Feature-Based Approach to Big Data Analysis of Medical Images.

[BibT_eX]

[DOI]

Matthew Toews

Raúl San José Estépar

William M. Wells III

Proceedings of the Information Processing in Medical Imaging, 2015

2014

Blockface histology with optical coherence tomography: A comparison with Nissl staining.

[BibT_eX]

[DOI]

NeuroImage, 2014

Gaussian Process Interpolation for Uncertainty Estimation in Image Registration.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

BrainPrint : Identifying Subjects by Their Brain.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Atlas-Based Under-Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2013

Simultaneous Registration of Multiple Images: Similarity Metrics and Efficient Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Contour-Driven Regression for Label Inference in Atlas-Based Segmentation.

[BibT_eX]

[DOI]

Gregory C. Sharp

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Sparse Projections of Medical Images onto Manifolds.

[BibT_eX]

[DOI]

George H. Chen

Proceedings of the Information Processing in Medical Imaging, 2013

2012

Manifold learning for image-based breathing gating in ultrasound and MRI.

[BibT_eX]

[DOI]

Medical Image Anal., 2012

Entropy and Laplacian images: Structural representations for multi-modal registration.

[BibT_eX]

[DOI]

Medical Image Anal., 2012

The 2D analytic signal for envelope detection and feature extraction on ultrasound images.

[BibT_eX]

[DOI]

Medical Image Anal., 2012

Spectral Label Fusion.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

MRI Confirmed Prostate Tissue Classification with Laplacian Eigenmaps of Ultrasound RF Spectra.

[BibT_eX]

[DOI]

Luciant D. Wolfsberger

Paul Nguyen

Clare M. Tempany

Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012

A contextual maximum likelihood framework for modeling image registration.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

Manifold learning for image-based breathing gating in MRI.

[BibT_eX]

[DOI]

Mehmet Yigitsoy

Proceedings of the Medical Imaging 2011: Image Processing, 2011

3D Stent Recovery from One X-Ray Projection.

[BibT_eX]

[DOI]

Hans-Henning Eckstein

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Temporal Groupwise Registration for Motion Modeling.

[BibT_eX]

[DOI]

Mehmet Yigitsoy

Proceedings of the Information Processing in Medical Imaging, 2011

The 2D Analytic Signal on RF and B-Mode Ultrasound Images.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2011

Ultraschall-Mosaicing und Bewegungsmodellierung: Anwendungen der medizinischen Bildregistrierung.

[BibT_eX]

[DOI]

Proceedings of the Ausgezeichnete Informatikdissertationen 2011, 2011

Ultrasound Mosaicing and Motion Modeling - Applications in Medical Image Registration.

[BibT_eX]

[DOI]

PhD thesis, 2011

2010

Manifold Learning for Image-Based Breathing Gating with Application to 4D Ultrasound.

[BibT_eX]

[DOI]

Mehmet Yigitsoy

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Manifold learning for patient position detection in MRI.

[BibT_eX]

[DOI]

Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Structural image representation for image registration.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

Manifold Learning for Multi-Modal Image Registration.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference, 2010

2009

Sphere extraction in MR images with application to whole-body MRI.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2009: Image Processing, 2009

Alignment of Viewing-Angle Dependent Ultrasound Images.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Similarity metrics and efficient optimization for simultaneous registration.

[BibT_eX]

[DOI]

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Towards an Estimation of Acoustic Impedance from Multiple Ultrasound Images.

[BibT_eX]

[DOI]

Ramtin Shams

Proceedings of the Bildverarbeitung für die Medizin 2009: Algorithmen - Systeme, 2009

MRI Composing for Whole Body Imaging.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2009: Algorithmen - Systeme, 2009

2008

Ultrasound specific similarity measures for three-dimensional mosaicing.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2008: Image Processing, 2008

Deformable Mosaicing for Whole-Body MRI.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

Estimation of acoustic impedance from multiple ultrasound images with application to spatial compounding.

[BibT_eX]

[DOI]

Ramtin Shams

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008

2007

Three-Dimensional Ultrasound Mosaicing.

[BibT_eX]

[DOI]

Wolfgang Wein