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08/25/2023
Enhanced Mortality Prediction In Patients With Subarachnoid Haemorrhage Using A Deep Learning Model Based On The Initial CT Scan
PURPOSE: Subarachnoid hemorrhage (SAH) entails high morbidity and mortal...
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06/18/2023
The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data
Challenges drive the state-of-the-art of automated medical image analysi...
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05/15/2023
Towards Automated COVID-19 Presence and Severity Classification
COVID-19 presence classification and severity prediction via (3D) thorax...
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10/24/2022
MISm: A Medical Image Segmentation Metric for Evaluation of weak labeled Data
Performance measures are an important tool for assessing and comparing d...
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10/20/2022
Standardized Medical Image Classification across Medical Disciplines
AUCMEDI is a Python-based framework for medical image classification. In...
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06/16/2022
Nucleus Segmentation and Analysis in Breast Cancer with the MIScnn Framework
The NuCLS dataset contains over 220.000 annotations of cell nuclei in br...
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02/10/2022
Towards a Guideline for Evaluation Metrics in Medical Image Segmentation
In the last decade, research on artificial intelligence has seen rapid g...
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01/27/2022
An Analysis on Ensemble Learning optimized Medical Image Classification with Deep Convolutional Neural Networks
Novel and high-performance medical image classification pipelines are he...
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01/25/2022
Perspective on Code Submission and Automated Evaluation Platforms for University Teaching
We present a perspective on platforms for code submission and automated ...
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01/23/2022
MISeval: a Metric Library for Medical Image Segmentation Evaluation
Correct performance assessment is crucial for evaluating modern artifici...
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10/03/2021
Classification of Viral Pneumonia X-ray Images with the Aucmedi Framework
In this work we use the AUCMEDI-Framework to train a deep neural network...
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03/30/2021
Assessing the Role of Random Forests in Medical Image Segmentation
Neural networks represent a field of research that can quickly achieve v...
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03/26/2021
Multi-Disease Detection in Retinal Imaging based on Ensembling Heterogeneous Deep Learning Models
Preventable or undiagnosed visual impairment and blindness affect billio...
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10/21/2019
MIScnn: A Framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
The increased availability and usage of modern medical imaging induced a...
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09/15/2017