Miriam Elia

11 papers C 1Journal 6Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Clinical Decision Support Systems at the Intersection of Technology and Ethics: A Critical Analysis of the Ethical Guidelines Issued by the German Medical Association.
Digit. Soc.
Paula Ziethmann, Miriam Elia, Fabian Stieler, Bernhard Bauer, Julia Welzel, Kerstin Schlögl-Flierl
2025 J jnl
MQG4AI Towards Responsible High-risk AI - Illustrated for Transparency Focusing on Explainability Techniques.
CoRR
Miriam Elia, Alba Maria Lopez, Katherin Alexandra Corredor, Bernhard Bauer, Esteban García-Cuesta
2025 J jnl
Responsible AI, ethics, and the AI lifecycle: how to consider the human influence?
AI Ethics
Miriam Elia, Paula Ziethmann, Julia Krumme, Kerstin Schlögl-Flierl, Bernhard Bauer
2024 J jnl
The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data.
Medical Image Anal.
Luuk H. Boulogne, Julian Lorenz, Daniel Kienzle, Robin Schön, Katja Ludwig, Rainer Lienhart, Simon Jégou, Guang Li, Cong Chen, Qi Wang, Derik Shi, Mayug Maniparambil, Dominik Müller, Silvan Mertes, Niklas Schröter, Fabio Hellmann, Miriam Elia, Ine Dirks, Matías Nicolás Bossa, Abel Díaz Berenguer, Tanmoy Mukherjee, Jef Vandemeulebroucke, Hichem Sahli, Nikos Deligiannis, Panagiotis Gonidakis, Ngoc Dung Huynh, Imran Razzak, Mohamed Reda Bouadjenek, Mario Verdicchio, Pasquale Borrelli, Marco Aiello, James A. Meakin, Alexander Lemm, Christoph Russ, Razvan Ionasec, Nikos Paragios, Bram van Ginneken, Marie-Pierre Revel
2024 — conf
Towards Certifiable AI in Medicine: Illustrated for Multi-label ECG Classification Performance Metrics.
EAIS
Miriam Elia, Fabian Stieler, Fabian Ripke, Marius Nann, Sarah Dopfer, Bernhard Bauer
2023 C conf
A Methodology Based on Quality Gates for Certifiable AI in Medicine: Towards a Reliable Application of Metrics in Machine Learning.
ICSOFT
Miriam Elia, Bernhard Bauer
2023 — conf
LIFEDATA - A Framework for Traceable Active Learning Projects.
REW
Fabian Stieler, Miriam Elia, Benjamin Weigel, Bernhard Bauer, Peter Kienle, Anton Roth, Gregor Müllegger, Marius Nann, Sarah Dopfer
2023 J jnl
The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data.
CoRR
Luuk H. Boulogne, Julian Lorenz, Daniel Kienzle, Robin Schön, Katja Ludwig, Rainer Lienhart, Simon Jégou, Guang Li, Cong Chen, Qi Wang, Derik Shi, Mayug Maniparambil, Dominik Müller, Silvan Mertes, Niklas Schröter, Fabio Hellmann, Miriam Elia, Ine Dirks, Matías Nicolás Bossa, Abel Díaz Berenguer, Tanmoy Mukherjee, Jef Vandemeulebroucke, Hichem Sahli, Nikos Deligiannis, Panagiotis Gonidakis, Ngoc Dung Huynh, Imran Razzak, Mohamed Reda Bouadjenek, Mario Verdicchio, Pasquale Borrelli, Marco Aiello, James A. Meakin, Alexander Lemm, Christoph Russ, Razvan Ionasec, Nikos Paragios, Bram van Ginneken, Marie-Pierre Revel Dubois
2023 — conf
Towards Automated COVID-19 Presence and Severity Classification.
MIE
Dominik Müller, Silvan Mertes, Niklas Schröter, Fabio Hellmann, Miriam Elia, Bernhard Bauer, Wolfgang Reif, Elisabeth André, Frank Kramer
2023 J jnl
Towards Automated COVID-19 Presence and Severity Classification.
CoRR
Dominik Müller, Niklas Schröter, Silvan Mertes, Fabio Hellmann, Miriam Elia, Wolfgang Reif, Bernhard Bauer, Elisabeth André, Frank Kramer
2020 — conf
An Interactive Web Application for Decision Tree Learning.
Teaching ML
Miriam Elia, Carola Gajek, Alexander Schiendorfer, Wolfgang Reif