Jan S. Kirschke

AI for Doctors—A Course to Educate Medical Professionals in Artificial Intelligence for Medical Imaging

2021 · 41 Zit. · Healthcare

Automation bias in AI-assisted detection of cerebral aneurysms on time-of-flight MR angiography

2025 · 17 Zit. · La radiologia medica

Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient

2021 · 16 Zit. · arXiv (Cornell University)

Data extraction from free-text stroke CT reports using GPT-4o and Llama-3.3-70B: the impact of annotation guidelines

2025 · 8 Zit. · European Radiology Experimental

A computed tomography vertebral segmentation dataset with anatomical variations and multi-vendor scanner data

2021 · 4 Zit. · Scientific Data

Interpretable Vertebral Fracture Diagnosis

2022 · 4 Zit. · Lecture notes in computer science

Enhancing Interpretability of Vertebrae Fracture Grading using Human-interpretable Prototypes

2024 · 2 Zit. · The Journal of Machine Learning for Biomedical Imaging

Pushing the Limits of an FCN and A CRF Towards Near-Ideal Vertebrae Labelling

2023 · 1 Zit.

Evaluating large language model-generated brain MRI protocols: performance of GPT4o, o3-mini, DeepSeek-R1 and Qwen2.5-72B

2025 · 1 Zit. · European Radiology

The Expertise Paradox: Who Benefits from LLM-Assisted Brain MRI Differential Diagnosis?

2025 · 0 Zit. · medRxiv

The Expertise Paradox: Who Benefits from LLM-Assisted Brain MRI Differential Diagnosis?

2025 · 0 Zit.

The ISLES’24 Dataset: A Multimodal Stroke Imaging Dataset with Hyperacute CT, Acute Postinterventional MRI, and 3-month Clinical Outcomes

2026 · 0 Zit. · Radiology Artificial Intelligence

Interpretable Vertebral Fracture Diagnosis

2022 · 0 Zit. · arXiv (Cornell University)