Deep Federated Learning in Healthcare
This 5 years Helmholtz funded project to advance the field with Federated Learning algorithms in Medicine (2020-2025)
Modelling Uncertainty in Deep Learning for Medical Applications
DAAD Funded Project with ETH Zürich and Imperial College London (2020-2022)
Liver lesion localisation and classification with convolutional neural networks: a comparison between conventional and spectral computed tomography
Abstract Purpose: To evaluate the benefit of the additional available information present in spectral CT datasets, as compared to conventional CT …
nadav-shapira
Image-to-Images Translation for Multi-Task Organ Segmentation and Bone Suppression in Chest X-Ray Radiography
Chest X-ray radiography is one of the earliest medical imaging technologies and remains one of the most widely-used for diagnosis, screening, and treatment follow up of diseases …
mohammad-eslami
GANs for medical image analysis
Generative adversarial networks (GANs) and their extensions have carved open many exciting ways to tackle well known and challenging medical image analysis problems such as medical …
salome-kazeminia
BigPicture Project
European IMI2 consortium building the largest platform of digital pathology images for AI (2021–2027). We took part at TU Munich, contributing federated learning, until 2020.
Benefit of dual energy CT for lesion localization and classification with convolutional neural networks
Dual Energy CT is a modern imaging technique that is utilized in clinical practice to acquire spectral information for various diagnostic purposes including the identification, …
nadav-shapira
An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy
We present a comprehensive analysis of the submissions to the first edition of the Endoscopy Artefact Detection challenge (EAD). Using crowd-sourcing, this initiative is a step …
sharib-ali
A learning without forgetting approach to incorporate artifact knowledge in polyp localization tasks
Colorectal polyps are abnormalities in the colon tissue that can develop into colorectal cancer. The survival rate for patients is higher when the disease is detected at an early …
Towards an Interactive and Interpretable CAD System to Support Proximal Femur Fracture Classification
We demonstrate the feasibility of a fully automatic computer-aided diagnosis (CAD) tool, based on deep learning, that localizes and classifies proximal femur fractures on X-ray …
