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...
share
research
∙
07/14/2023
Atlas-Based Interpretable Age Prediction
Age prediction is an important part of medical assessments and research....
research
∙
07/13/2023
Explainable 2D Vision Models for 3D Medical Data
Training Artificial Intelligence (AI) models on three-dimensional image ...
research
∙
03/23/2023
Xplainer: From X-Ray Observations to Explainable Zero-Shot Diagnosis
Automated diagnosis prediction from medical images is a valuable resourc...
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...
research
∙
12/29/2022
Current State of Community-Driven Radiological AI Deployment in Medical Imaging
Artificial Intelligence (AI) has become commonplace to solve routine eve...
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...
research
∙
03/22/2022
Privacy: An axiomatic approach
The increasing prevalence of large-scale data collection in modern socie...
research
∙
03/21/2022
Longitudinal Self-Supervision for COVID-19 Pathology Quantification
Quantifying COVID-19 infection over time is an important task to manage ...
research
∙
10/03/2021
Interactive Segmentation for COVID-19 Infection Quantification on Longitudinal CT scans
Consistent segmentation of COVID-19 patient's CT scans across multiple t...
research
∙
07/29/2021
U-GAT: Multimodal Graph Attention Network for COVID-19 Outcome Prediction
During the first wave of COVID-19, hospitals were overwhelmed with the h...
research
∙
07/09/2021
Differentially private training of neural networks with Langevin dynamics for calibrated predictive uncertainty
We show that differentially private stochastic gradient descent (DP-SGD)...
research
∙
07/09/2021
Sensitivity analysis in differentially private machine learning using hybrid automatic differentiation
In recent years, formal methods of privacy protection such as differenti...
research
∙
07/06/2021
Differentially private federated deep learning for multi-site medical image segmentation
Collaborative machine learning techniques such as federated learning (FL...
research
∙
03/12/2021
Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs
Chest computed tomography (CT) has played an essential diagnostic role i...
research
∙
12/10/2020
Privacy-preserving medical image analysis
The utilisation of artificial intelligence in medicine and healthcare ha...
research
∙
09/02/2020
Efficient, high-performance pancreatic segmentation using multi-scale feature extraction
For artificial intelligence-based image analysis methods to reach clinic...
research
∙
01/13/2019
The Liver Tumor Segmentation Benchmark (LiTS)
In this work, we report the set-up and results of the Liver Tumor Segmen...
research
∙
06/04/2018
Differential Diagnosis for Pancreatic Cysts in CT Scans Using Densely-Connected Convolutional Networks
The lethal nature of pancreatic ductal adenocarcinoma (PDAC) calls for e...
research
∙
02/20/2017
