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Anna Fink

University Medical Center Freiburg

Research Interests

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Berta-Ottenstein-Programme for Clinician Scientists, Faculty of Medicine, University of Freiburg

Articles (15)

Collaborators (2)

Martin Peter Pichotka

head of spectral CT research team

University Medical Center Freiburg

Alexander Rau

University Medical Center Freiburg

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Anna Fink

Research Interests

Make your next move.

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Recent Grants

Articles (15)

Collaborators (2)

Martin Peter Pichotka

Alexander Rau

Make your next move.

Anna Fink

Research Interests

Make your next move.

Explore related searches

Recent Grants

Articles (15)

Deep Neural Patchworks Predict Renal Imaging Biomarkers From Non-contrast MRI via Knowledge Transfer From Arterial-Phase Contrast-Enhanced MRI

AI-RADS

From Referral to Reporting: The Potential of Large Language Models in the Radiological Workflow

Photon-counting detector CT of the brain reduces variability of Hounsfield units and has a mean offset compared with energy-integrating detector CT

Retrieval-Augmented Generation with Large Language Models in Radiology: From Theory to Practice

Optimierte Interaktion mit Large Language Models

Retrieval-augmented generation improves precision and trust of a GPT-4 model for emergency radiology diagnosis and classification: a proof-of-concept study

Photon-counting CT outperforms dental CBCT in detecting small accessory canals in root-filled teeth in a phantom study

Reliability of Whole-Liver Liver-Fat-Quantification Between Deep Learning–Accelerated and Standard Volumetric Interpolated Breath-hold Examination Dixon Sequences in a Prospective Oncology Cohort

In-context learning enables large language models to achieve human-level performance in spinal instability neoplastic score classification from synthetic CT and MRI reports

Enhancing chatbot performance for imaging recommendations: Leveraging GPT-4 and context-awareness for trustworthy clinical guidance

A retrieval-augmented chatbot based on GPT-4 provides appropriate differential diagnosis in gastrointestinal radiology: a proof of concept study

A deep learning approach for projection and body-side classification in musculoskeletal radiographs

A deep learning approach for projection and body-side classification in musculoskeletal radiographs

Performance of ChatGPT, human radiologists, and context-aware ChatGPT in identifying AO codes from radiology reports

Collaborators (2)

Martin Peter Pichotka

Alexander Rau

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