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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...
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09/06/2023
MAD: Modality Agnostic Distance Measure for Image Registration
Multi-modal image registration is a crucial pre-processing step in many ...
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09/05/2023
Anatomy-Driven Pathology Detection on Chest X-rays
Pathology detection and delineation enables the automatic interpretation...
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09/05/2023
A skeletonization algorithm for gradient-based optimization
The skeleton of a digital image is a compact representation of its topol...
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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...
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08/26/2023
Bias in Unsupervised Anomaly Detection in Brain MRI
Unsupervised anomaly detection methods offer a promising and flexible al...
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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...
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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...
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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 ...
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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...
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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...
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08/01/2023
Metrics to Quantify Global Consistency in Synthetic Medical Images
Image synthesis is increasingly being adopted in medical image processin...
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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 ...
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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...
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07/14/2023
Atlas-Based Interpretable Age Prediction
Age prediction is an important part of medical assessments and research....
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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...
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07/13/2023
Extended Graph Assessment Metrics for Graph Neural Networks
When re-structuring patient cohorts into so-called population graphs, in...
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07/13/2023
Explainable 2D Vision Models for 3D Medical Data
Training Artificial Intelligence (AI) models on three-dimensional image ...
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07/10/2023
Multimodal brain age estimation using interpretable adaptive population-graph learning
Brain age estimation is clinically important as it can provide valuable ...
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07/08/2023
Bounding data reconstruction attacks with the hypothesis testing interpretation of differential privacy
We explore Reconstruction Robustness (ReRo), which was recently proposed...
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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...
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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 ...
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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 ...
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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...
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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...
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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,...
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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...
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04/17/2023
Interactive and Explainable Region-guided Radiology Report Generation
The automatic generation of radiology reports has the potential to assis...
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04/04/2023
Primitive Simultaneous Optimization of Similarity Metrics for Image Registration
Even though simultaneous optimization of similarity metrics represents a...
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03/27/2023
Multi-contrast MRI Super-resolution via Implicit Neural Representations
Clinical routine and retrospective cohorts commonly include multi-parame...
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03/25/2023
Link Prediction for Flow-Driven Spatial Networks
Link prediction algorithms predict the existence of connections between ...
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03/24/2023
Best of Both Worlds: Multimodal Contrastive Learning with Tabular and Imaging Data
Medical datasets and especially biobanks, often contain extensive tabula...
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03/21/2023
The Multiscale Surface Vision Transformer
Surface meshes are a favoured domain for representing structural and fun...
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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...
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03/15/2023
Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection
Early and accurate disease detection is crucial for patient management a...
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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...
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03/01/2023
Unsupervised Pathology Detection: A Deep Dive Into the State of the Art
Deep unsupervised approaches are gathering increased attention for appli...
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02/05/2023
Reconstruction-driven motion estimation for motion-compensated MR CINE imaging
In cardiac CINE, motion-compensated MR reconstruction (MCMR) is an effec...
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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...
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01/30/2023
Equivariant Differentially Private Deep Learning
The formal privacy guarantee provided by Differential Privacy (DP) bound...
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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...
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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...
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12/31/2022
Approaching Peak Ground Truth
Machine learning models are typically evaluated by computing similarity ...
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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...
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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...
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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...
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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...
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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...
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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...
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10/24/2022