activity
20122025
most citedAI-Driven Radiology Report Generation for Traumatic Brain Injuries

6 citations · 9 across the 4 of their papers we have counts for

collaborators

6 papers

eess.IV2025★ 6 cited

AI-Driven Radiology Report Generation for Traumatic Brain Injuries

Riadh Bouslimi, Houda Trabelsi, Wahiba Ben Abdssalem Karaa +1

Traumatic brain injuries present significant diagnostic challenges in emergency medicine, where the timely interpretation of medical images is crucial for patient outcomes. In this…

cs.CV2013★ 1 cited

Extending UML for Conceptual Modeling of Annotation of Medical Images

Mouhamed Gaith Ayadi, Riadh Bouslimi, Jalel Akaichi

Imaging has occupied a huge role in the management of patients, whether hospitalized or not. Depending on the patients clinical problem, a variety of imaging modalities were availa…

cs.IR2013

Using a bag of Words for Automatic Medical Image Annotation with a Latent Semantic

Riadh Bouslimi, Abir Messaoudi, Jalel Akaichi

We present in this paper a new approach for the automatic annotation of medical images, using the approach of "bag-of-words" to represent the visual content of the medical image co…

cs.CV2013★ 2 cited

Indexing Medical Images based on Collaborative Experts Reports

Abir Messaoudi, Riadh Bouslimi, Jalel Akaichi

A patient is often willing to quickly get, from his physician, reliable analysis and concise explanation according to provided linked medical images. The fact of making choices ind…

cs.IR2012

Using Hausdorff Distance for New Medical Image Annotation

Riadh Bouslimi, Jalel Akaichi

Medical images annotation is most of the time a repetitive hard task. Collecting old similar annotations and assigning them to new medical images may not only enhance the annotatio…

cs.CL2012

Fault detection system for Arabic language

Riadh Bouslimi, Houda Amraoui

The study of natural language, especially Arabic, and mechanisms for the implementation of automatic processing is a fascinating field of study, with various potential applications…