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From the 1 of 6 linked papers with an AI index.

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6 papers

cs.MA2026

MASPRM: Multi-Agent System Process Reward Model

Milad Yazdani, Mahdi Mostajabdaveh, Zirui Zhou +1

The paper introduces MASPRM, a model that scores ordered message transcripts in multi‑agent systems to guide inference‑time search methods such as step‑level beam search and Monte…

physics.med-ph2026

AI-Augmented Thyroid Scintigraphy for Robust Classification of Disease

Maziar Sabouri, Ghasem Hajianfar, Alireza Rafiei Sardouei +11

Thyroid scintigraphy is vital for diagnosing thyroid disorders, yet deep learning (DL) models in this domain often struggle with limited, imbalanced datasets. This study investigat…

cs.LG2026

Reinforcement learning for inverse structural design and rapid laser cutting of kirigami prototypes

Milad Yazdani, Shahriar Shalileh, Dena Shahriari

Kirigami is an increasingly useful fabrication method to produce shape-programmable metamaterial structures. However, inverse design remains difficult because deployment is nonline…

cs.CV2026

When Minor Edits Matter: LLM-Driven Prompt Attack for Medical VLM Robustness in Ultrasound

Yasamin Medghalchi, Milad Yazdani, Amirhossein Dabiriaghdam +7

Ultrasound is widely used in clinical practice due to its portability, cost-effectiveness, safety, and real-time imaging capabilities. However, image acquisition and interpretation…

cs.AI2026

EvoCut: Strengthening Integer Programs via Evolution-Guided Language Models

Milad Yazdani, Mahdi Mostajabdaveh, Samin Aref +1

Integer programming (IP) is central to many combinatorial optimization tasks but remains challenging due to its NP-hard nature. A practical way to improve IP solvers is to manually…

cs.CV2025

Flow Matching for Medical Image Synthesis: Bridging the Gap Between Speed and Quality

Milad Yazdani, Yasamin Medghalchi, Pooria Ashrafian +2

Deep learning models have emerged as a powerful tool for various medical applications. However, their success depends on large, high-quality datasets that are challenging to obtain…