DFKI newsletter features
IML projects in medicine
In the most recent issue of DFKI News, IML is prominently represented with three articles, namely Explainable AI in Medicine and the projects Ophthalmo-AI and pAItient.
DFKI newsletter features
Machine Learning
Comprehensive Evaluation of
Feature Attribution Methods in Explainable AI via Input Perturbation
Explainable AI (XAI) has demonstrated its potential in deciphering discriminatory features in machine learning (ML) decision-making processes. Specifically, XAI’s feature attribution methods shed light on individual decisions made by ML models. However, despite their visual appeal, these attributions can be unfaithful. To ensure the faithfulness of feature attributions, it is Read more…
Machine Learning
Interpretable and Interactive Disease Diagnosis Using Collaborative Learning of Segmentation and Classification
Medical image analysis encompasses two crucial research areas: disease grading and fine-grained lesion segmentation. Although disease grading often relies on fine-grained lesion segmentation, they are usually studied separately. Disease severity grading can be approached as a classification problem, utilizing image-level annotations to determine the severity of a medical condition. On Read more…
IML members participate in KEMAI Spring School
Siting Liang and Ilira Troshani from the IML department participated in the „Spring School on ‘Knowledge Infusion and Extraction for Explainable Medical Artificial Intelligence“ that was held from 28 February to 2 March 2022 in Günzburg. It was targeted at master and early PhD students in the field of artificial intelligence Read more…