To evaluate an AI-based decision-support system for mammography interpretation, assessing its impact on diagnostic performance. This retrospective study analyzed 130,838 mammograms from 35,709 patients with confirmed follow-up outcomes across multiple centers, using the Digital Database for Screening Mammography (DDSM)...
N. Ahmadinejad, Nahid Sadighi, Rassa Ghavami Modegh et al.· Insights into Imaging· 0 citations
This survey provides overview of distributed estimation, filtering, and fault detection techniques in the context of cyber-physical systems (CPS). To establish a strong foundation, we first define essential aspects of linear dynamical systems and related graph theoretic concepts, emphasizing observability conditions th...
Mohammadreza Doostmohammadian, Mahdi Shamsi, Hadi Zayyani et al.· Annual Reviews in Control· 0 citations
This work presents a novel, training-free pipeline that fundamentally reimagines this paradigm by explicitly decoupling 3D geometric reconstruction from semantic integration, and delivers an order-of-magnitude reduction in memory usage compared to SOTA baselines.
This work proposes a unified mathematical framework capable of capturing varying degrees of complexity across temporal graphs that is flexible and expressive enough to accommodate a wide range of network structures and temporal dynamics.
Mohammad Ostadmohammadi, S. Kazemi, H. R. Rabiee· arXiv.org· 0 citations
This study systematically benchmark six ranking loss functions, including state-of-the-art listwise methods, and five types of molecular representations across two large-scale drug screening datasets, CTRP and PRISM, to demonstrate that listwise loss functions such as LambdaLoss and LambdaRank consistently excel in bot...
Faraz Sarmeili, Benyamin Ghahremani-Nezhad, Mohammad Khalilpour et al.· PLoS ONE· 0 citations
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