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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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08/30/2022
Annotated Dataset Creation through General Purpose Language Models for non-English Medical NLP
Obtaining text datasets with semantic annotations is an effortful proces...
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06/29/2022
GERNERMED++: Transfer Learning in German Medical NLP
We present a statistical model for German medical natural language proce...
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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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09/24/2021
GERNERMED – An Open German Medical NER Model
The current state of adoption of well-structured electronic health recor...
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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