TU Wien

Transformative effects of ChatGPT on modern education: Emerging Era of AI Chatbots

Sukhpal Singh Gill, Minxian Xu, Panos Patros et al.

2023 · 430 Zit.

Why rankings of biomedical image analysis competitions should be interpreted with care

Lena Maier‐Hein, Matthias Eisenmann, Annika Reinke et al.

2018 · 344 Zit.

Metrics reloaded: recommendations for image analysis validation

Lena Maier‐Hein, Annika Reinke, Patrick Godau et al.

2024 · 342 Zit.

Understanding metric-related pitfalls in image analysis validation

Annika Reinke, Minu D. Tizabi, Michael Baumgartner et al.

2024 · 154 Zit.

BIAS: Transparent reporting of biomedical image analysis challenges

Lena Maier‐Hein, Annika Reinke, Michal Kozubek et al.

2020 · 120 Zit.

Human-Centered Explainable AI (HCXAI): Beyond Opening the Black-Box of AI

Upol Ehsan, Philipp Wintersberger, Q. Vera Liao et al.

2022 · 90 Zit.

Consistency Analysis of ChatGPT

Myeongjun Jang, Thomas Lukasiewicz

2023 · 54 Zit.

IJCAI 2013, Proceedings of the 23rd International Joint Conference on Artificial Intelligence, Beijing, China, August 3-9, 2013

Pierre Bourhis, Michael Morak, Andréas Pieris

2013 · 41 Zit.

Artificial agents’ explainability to support trust: considerations on timing and context

Guglielmo Papagni, Jesse de Pagter, Setareh Zafari et al.

2022 · 39 Zit.

Step into the era of large multimodal models: a pilot study on ChatGPT-4V(ision)’s ability to interpret radiological images

Lingxuan Zhu, Weiming Mou, Yancheng Lai et al.

2024 · 37 Zit.

Data Poisoning in Sequential and Parallel Federated Learning

Florian Nuding, Rudolf Mayer

2022 · 35 Zit.

Erratum to: Making sense of big data in health research: towards an EU action plan

Charles Auffray, Rudi Balling, Inês Barroso et al.

2016 · 27 Zit.

STAGER checklist: Standardized testing and assessment guidelines for evaluating generative artificial intelligence reliability

Jinghong Chen, Lingxuan Zhu, Weiming Mou et al.

2024 · 25 Zit.

The Evaluation of Generative AI Should Include Repetition to Assess Stability

Lingxuan Zhu, Weiming Mou, Chenglin Hong et al.

2024 · 25 Zit.

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis

Carole H. Sudre, Roxane Licandro, Christian Baumgärtner et al.

2021 · 23 Zit.