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pro vyhledávání: '"Nabavi A"'
Cardiovascular magnetic resonance (CMR) imaging is the gold standard for diagnosing several heart diseases due to its non-invasive nature and proper contrast. MR imaging is time-consuming because of signal acquisition and image formation issues. Prol
Externí odkaz:
http://arxiv.org/abs/2411.10787
Understanding the intricate cellular environment within biological tissues is crucial for uncovering insights into complex biological functions. While single-cell RNA sequencing has significantly enhanced our understanding of cellular states, it lack
Externí odkaz:
http://arxiv.org/abs/2411.02534
Multi-criteria decision making (MCDM) is necessary for choosing one from the available alternatives (or from the obtained Pareto-optimal solutions for multi-objective optimization), where the performance of each alternative is quantified against seve
Externí odkaz:
http://arxiv.org/abs/2410.05713
Autor:
Nabavi, Shahabedin, Hamedani, Kian Anvari, Moghaddam, Mohsen Ebrahimi, Abin, Ahmad Ali, Frangi, Alejandro F.
This study proposes an attention-based statistical distance-guided unsupervised domain adaptation model for multi-class cardiovascular magnetic resonance (CMR) image quality assessment. The proposed model consists of a feature extractor, a label pred
Externí odkaz:
http://arxiv.org/abs/2409.00375
Ethylene is a crucial chemical in manufacturing numerous consumer products. In recent years, the oxidative dehydrogenation of ethane (ODHE) technique has garnered significant interest as a means for ethylene production due to its high ethylene select
Externí odkaz:
http://arxiv.org/abs/2407.10774
Optimization has found numerous applications in engineering, particularly since 1960s. Many optimization applications in engineering have more than one objective (or performance criterion). Such applications require multi-objective (or multi-criteria
Externí odkaz:
http://arxiv.org/abs/2407.09931
This chapter assesses the sensitivity of multi-criteria decision-making (MCDM) methods to modifications within the decision or objective matrix (DOM) in the context of chemical engineering optimization applications. Employing eight common or recent M
Externí odkaz:
http://arxiv.org/abs/2403.11569
Autor:
Nabavi, Shahabedin, Hamedani, Kian Anvari, Moghaddam, Mohsen Ebrahimi, Abin, Ahmad Ali, Frangi, Alejandro F.
Background: Image classification can be considered one of the key pillars of medical image analysis. Deep learning (DL) faces challenges that prevent its practical applications despite the remarkable improvement in medical image classification. The d
Externí odkaz:
http://arxiv.org/abs/2403.11226
Breast cancer continues to be a significant cause of mortality among women globally. Timely identification and precise diagnosis of breast abnormalities are critical for enhancing patient prognosis. In this study, we focus on improving the early dete
Externí odkaz:
http://arxiv.org/abs/2312.16772
The Health Index (HI) is crucial for evaluating system health and is important for tasks like anomaly detection and Remaining Useful Life (RUL) prediction of safety-critical systems. Real-time, meticulous monitoring of system conditions is essential,
Externí odkaz:
http://arxiv.org/abs/2312.02867