Daniel Rueckert

research

∙ 09/15/2023

3D Arterial Segmentation via Single 2D Projections and Depth Supervision in Contrast-Enhanced CT Images

Automated segmentation of the blood vessels in 3D volumes is an essentia...

0 Alina F. Dima, et al. ∙

research

∙ 09/06/2023

MAD: Modality Agnostic Distance Measure for Image Registration

Multi-modal image registration is a crucial pre-processing step in many ...

0 Vasiliki Sideri-Lampretsa, et al. ∙

research

∙ 09/05/2023

Anatomy-Driven Pathology Detection on Chest X-rays

Pathology detection and delineation enables the automatic interpretation...

0 Philip Müller, et al. ∙

research

∙ 09/05/2023

A skeletonization algorithm for gradient-based optimization

The skeleton of a digital image is a compact representation of its topol...

0 Martin J. Menten, et al. ∙

research

∙ 08/31/2023

Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images

Multiple Sclerosis (MS) is a severe neurological disease characterized b...

0 Chinmay Prabhakar, et al. ∙

research

∙ 08/26/2023

Bias in Unsupervised Anomaly Detection in Brain MRI

Unsupervised anomaly detection methods offer a promising and flexible al...

0 Cosmin I. Bercea, et al. ∙

research

∙ 08/23/2023

Bias-Aware Minimisation: Understanding and Mitigating Estimator Bias in Private SGD

Differentially private SGD (DP-SGD) holds the promise of enabling the sa...

0 Moritz Knolle, et al. ∙

research

∙ 08/18/2023

Denoising diffusion-based MR to CT image translation enables whole spine vertebral segmentation in 2D and 3D without manual annotations

Background: Automated segmentation of spinal MR images plays a vital rol...

0 Robert Graf, et al. ∙

research

∙ 08/15/2023

The Challenge of Fetal Cardiac MRI Reconstruction Using Deep Learning

Dynamic free-breathing fetal cardiac MRI is one of the most challenging ...

0 Denis Prokopenko, et al. ∙

research

∙ 08/10/2023

Surface Masked AutoEncoder: Self-Supervision for Cortical Imaging Data

Self-supervision has been widely explored as a means of addressing the l...

0 Simon Dahan, et al. ∙

research

∙ 08/09/2023

Unlocking the Diagnostic Potential of ECG through Knowledge Transfer from Cardiac MRI

The electrocardiogram (ECG) is a widely available diagnostic tool that a...

0 Özgün Turgut, et al. ∙

research

∙ 08/01/2023

Metrics to Quantify Global Consistency in Synthetic Medical Images

Image synthesis is increasingly being adopted in medical image processin...

0 Daniel Scholz, et al. ∙

research

∙ 07/25/2023

Pretrained Deep 2.5D Models for Efficient Predictive Modeling from Retinal OCT

In the field of medical imaging, 3D deep learning models play a crucial ...

0 Taha Emre, et al. ∙

research

∙ 07/24/2023

Global k-Space Interpolation for Dynamic MRI Reconstruction using Masked Image Modeling

In dynamic Magnetic Resonance Imaging (MRI), k-space is typically unders...

0 Jiazhen Pan, et al. ∙

research

∙ 07/14/2023

Atlas-Based Interpretable Age Prediction

Age prediction is an important part of medical assessments and research....

0 Sophie Starck, et al. ∙

research

∙ 07/13/2023

Privacy-Utility Trade-offs in Neural Networks for Medical Population Graphs: Insights from Differential Privacy and Graph Structure

We initiate an empirical investigation into differentially private graph...

0 Tamara T. Mueller, et al. ∙

research

∙ 07/13/2023

Extended Graph Assessment Metrics for Graph Neural Networks

When re-structuring patient cohorts into so-called population graphs, in...

0 Tamara T. Mueller, et al. ∙

research

∙ 07/13/2023

Explainable 2D Vision Models for 3D Medical Data

Training Artificial Intelligence (AI) models on three-dimensional image ...

0 Alexander Ziller, et al. ∙

research

∙ 07/10/2023

Multimodal brain age estimation using interpretable adaptive population-graph learning

Brain age estimation is clinically important as it can provide valuable ...

0 Kyriaki-Margarita Bintsi, et al. ∙

research

∙ 07/08/2023

Bounding data reconstruction attacks with the hypothesis testing interpretation of differential privacy

We explore Reconstruction Robustness (ReRo), which was recently proposed...

0 Georgios Kaissis, et al. ∙

research

∙ 06/21/2023

Concurrent ischemic lesion age estimation and segmentation of CT brain using a Transformer-based network

The cornerstone of stroke care is expedient management that varies depen...

0 Adam Marcus, et al. ∙

research

∙ 05/31/2023

Mask, Stitch, and Re-Sample: Enhancing Robustness and Generalizability in Anomaly Detection through Automatic Diffusion Models

The introduction of diffusion models in anomaly detection has paved the ...

0 Cosmin I. Bercea, et al. ∙

research

∙ 05/15/2023

The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting

A myriad of algorithms for the automatic analysis of brain MR images is ...

0 Florian Kofler, et al. ∙

research

∙ 05/11/2023

Deep Learning for Retrospective Motion Correction in MRI: A Comprehensive Review

Motion represents one of the major challenges in magnetic resonance imag...

0 Veronika Spieker, et al. ∙

research

∙ 05/04/2023

Leveraging gradient-derived metrics for data selection and valuation in differentially private training

Obtaining high-quality data for collaborative training of machine learni...

0 Dmitrii Usynin, et al. ∙

research

∙ 04/25/2023

Methods and datasets for segmentation of minimally invasive surgical instruments in endoscopic images and videos: A review of the state of the art

In the field of computer- and robot-assisted minimally invasive surgery,...

6 Tobias Rueckert, et al. ∙

research

∙ 04/17/2023

Morph-SSL: Self-Supervision with Longitudinal Morphing to Predict AMD Progression from OCT

The lack of reliable biomarkers makes predicting the conversion from int...

0 Arunava Chakravarty, et al. ∙

research

∙ 04/17/2023

Interactive and Explainable Region-guided Radiology Report Generation

The automatic generation of radiology reports has the potential to assis...

0 Tim Tanida, et al. ∙

research

∙ 04/04/2023

Primitive Simultaneous Optimization of Similarity Metrics for Image Registration

Even though simultaneous optimization of similarity metrics represents a...

0 Diana Waldmannstetter, et al. ∙

research

∙ 03/27/2023

Multi-contrast MRI Super-resolution via Implicit Neural Representations

Clinical routine and retrospective cohorts commonly include multi-parame...

0 Julian McGinnis, et al. ∙

research

∙ 03/25/2023

Link Prediction for Flow-Driven Spatial Networks

Link prediction algorithms predict the existence of connections between ...

0 Bastian Wittmann, et al. ∙

research

∙ 03/24/2023

Best of Both Worlds: Multimodal Contrastive Learning with Tabular and Imaging Data

Medical datasets and especially biobanks, often contain extensive tabula...

0 Paul Hager, et al. ∙

research

∙ 03/21/2023

The Multiscale Surface Vision Transformer

Surface meshes are a favoured domain for representing structural and fun...

0 Simon Dahan, et al. ∙

research

∙ 03/15/2023

Pixel-Level Explanation of Multiple Instance Learning Models in Biomedical Single Cell Images

Explainability is a key requirement for computer-aided diagnosis systems...

0 Ario Sadafi, et al. ∙

research

∙ 03/15/2023

Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection

Early and accurate disease detection is crucial for patient management a...

0 Cosmin I. Bercea, et al. ∙

research

∙ 03/03/2023

Robust Detection Outcome: A Metric for Pathology Detection in Medical Images

Detection of pathologies is a fundamental task in medical imaging and th...

0 Felix Meissen, et al. ∙

research

∙ 03/01/2023

Unsupervised Pathology Detection: A Deep Dive Into the State of the Art

Deep unsupervised approaches are gathering increased attention for appli...

0 Ioannis Lagogiannis, et al. ∙

research

∙ 02/05/2023

Reconstruction-driven motion estimation for motion-compensated MR CINE imaging

In cardiac CINE, motion-compensated MR reconstruction (MCMR) is an effec...

0 Jiazhen Pan, et al. ∙

research

∙ 02/03/2023

Private, fair and accurate: Training large-scale, privacy-preserving AI models in radiology

Artificial intelligence (AI) models are increasingly used in the medical...

0 Soroosh Tayebi Arasteh, et al. ∙

research

∙ 01/30/2023

Equivariant Differentially Private Deep Learning

The formal privacy guarantee provided by Differential Privacy (DP) bound...

0 Florian A. Hölzl, et al. ∙

research

∙ 01/30/2023

CHeart: A Conditional Spatio-Temporal Generative Model for Cardiac Anatomy

Two key questions in cardiac image analysis are to assess the anatomy an...

0 Mengyun Qiao, et al. ∙

research

∙ 01/11/2023

Clustering disease trajectories in contrastive feature space for biomarker discovery in age-related macular degeneration

Age-related macular degeneration (AMD) is the leading cause of blindness...

0 Robbie Holland, et al. ∙

research

∙ 12/31/2022

Approaching Peak Ground Truth

Machine learning models are typically evaluated by computing similarity ...

0 Florian Kofler, et al. ∙

research

∙ 12/16/2022

Neural Implicit k-Space for Binning-free Non-Cartesian Cardiac MR Imaging

In this work, we propose a novel image reconstruction framework that dir...

0 Wenqi Huang, et al. ∙

research

∙ 12/03/2022

A Domain-specific Perceptual Metric via Contrastive Self-supervised Representation: Applications on Natural and Medical Images

Quantifying the perceptual similarity of two images is a long-standing p...

0 Hongwei Bran Li, et al. ∙

research

∙ 11/18/2022

How Do Input Attributes Impact the Privacy Loss in Differential Privacy?

Differential privacy (DP) is typically formulated as a worst-case privac...

0 Tamara T. Mueller, et al. ∙

research

∙ 11/14/2022

The Role of Local Alignment and Uniformity in Image-Text Contrastive Learning on Medical Images

Image-text contrastive learning has proven effective for pretraining med...

0 Philip Müller, et al. ∙

research

∙ 11/08/2022

Exploiting segmentation labels and representation learning to forecast therapy response of PDAC patients

The prediction of pancreatic ductal adenocarcinoma therapy response is a...

0 Alexander Ziller, et al. ∙

research

∙ 10/28/2022

Automated analysis of diabetic retinopathy using vessel segmentation maps as inductive bias

Recent studies suggest that early stages of diabetic retinopathy (DR) ca...

0 Linus Kreitner, et al. ∙

research

∙ 10/24/2022

Generalised Likelihood Ratio Testing Adversaries through the Differential Privacy Lens

Differential Privacy (DP) provides tight upper bounds on the capabilitie...

0 Georgios Kaissis, et al. ∙

Daniel Rueckert

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