activity
20192026
most citedApplication of Deep Learning in Generating Structured Radiology Reports: A Transformer-Based Technique

19 citations · 20 across the 11 of their papers we have counts for

collaborators
Showing 2026Show all

6 papers · 1 filter

cs.CV2026

Self-training for cross-centre coronary vessel segmentation in X-ray angiography using pre-contrast frame subtraction

Danial Moafi, Aida Moafi, Mostafa Aryafar +2

Deep learning models for coronary vessel segmentation in X-ray angiography often perform poorly on data from centres that were not represented in training. Apart from differences i…

cs.SE2026

Tracing Hallucinations in LLM Reasoning for UML Class Diagram Generation: An Empirical Taxonomy and Mitigation Study

Mojdeh Rahmanian, Foutse Khomh, Ashkan Sami +1

Large Language Models (LLMs) can generate UML class diagrams from natural language requirements, but hallucinations may compromise the correctness and completeness of the resulting…

cs.SE2026

Large Language Models for Software Engineering Diagrams: A Systematic Review of UML and ER modelling

Mojdeh Rahmanian, Ashkan Sami, Yanchao Yu

Large language models (LLMs) are increasingly applied to diagram-based software and data modelling. Among various modelling notations, UML and entity-relationship (ER) diagrams are…

cs.SE2026

AI Prototyper: A Figma Plugin for Decomposition-Based GUI Prototyping with LLMs

Tawatchai Salangsingha, Ashkan Sami, Md Zia Ullah +1

Graphical user interface (GUI) prototyping remains a time-consuming activity that demands both design expertise and considerable manual effort. As GUI prototypes are non-code artif…

cs.SE2026

SYNAPSE: A Multi-LLM Orchestrated AI Tutor for Secure Software Development Education with Neurodivergent-First Design

Giusy Ferrara, Ashkan Sami

Developers who maintain real systems must continually recognise and remediate vulnerabilities in existing code, yet this skill is rarely trained directly: secure software developme…

cs.SE2026

What Do AI Agents Actually Change? An Empirical Taxonomy of Mutation Patterns in Performance-Improving Pull Requests

Illia Dovhoshliubnyi, Nima Soroush, Ashkan Sami +1

AI coding agents are black boxes: we cannot inspect how they generate code, but we can inspect what they change. This distinction matters for search-based software engineering (SBS…