Papers by Francesco Dalla Serra

2 papers
Multimodal Generation of Radiology Reports using Knowledge-Grounded Extraction of Entities and Relations (2022.aacl-main)

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Challenge: Existing approaches to generate text radiology reports are prone to errors and poor clinical accuracy.
Approach: They propose a two-step pipeline that subdivides the problem into factual triple extraction followed by free-text report generation.
Outcome: The proposed pipeline shows that the generated reports exhibit realistic style but lack clinical accuracy.
Controllable Chest X-Ray Report Generation from Longitudinal Representations (2023.findings-emnlp)

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Challenge: Radiology reports are detailed text descriptions of the content of medical scans.
Approach: They propose a method to align, concatenate and fuse the current and prior visual information into a joint longitudinal representation which can be provided to a multimodal report generation model.
Outcome: The proposed method achieves state-of-the-art results while enabling anatomy-wise controllable report generation.

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