Papers by Asfandyar Azhar
Automated Structured Radiology Report Generation (2025.acl-long)
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Jean-Benoit Delbrouck, Justin Xu, Johannes Moll, Alois Thomas, Zhihong Chen, Sophie Ostmeier, Asfandyar Azhar, Kelvin Zhenghao Li, Andrew Johnston, Christian Bluethgen, Eduardo Pontes Reis, Mohamed S Muneer, Maya Varma, Curtis Langlotz
| Challenge: | Existing models struggle to produce consistent, clinically meaningful reports and standard evaluation metrics fail to capture the nuances of radiological interpretation. |
| Approach: | They propose to reformulate free-text radiology reports into a standardized format, ensuring clarity, consistency, and structured clinical reporting. |
| Outcome: | The proposed task reformulates free-text radiology reports into a standardized format, ensuring clarity, consistency, and structured clinical reporting. |
Structuring Radiology Reports: Challenging LLMs with Lightweight Models (2025.emnlp-main)
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Johannes Moll, Louisa Fay, Asfandyar Azhar, Sophie Ostmeier, Sergios Gatidis, Tim C. Lueth, Curtis Langlotz, Jean-Benoit Delbrouck
| Challenge: | Radiology reports lack a standardized format, limiting both interpretability and machine learning applications. |
| Approach: | They propose to use lightweight encoder-decoder models for structuring radiology reports . they compare models with eight open-source LLMs with prompting and in-context learning . |
| Outcome: | The proposed models outperform eight open-source LLMs on a human-annotated test set. |