Zobrazeno 1 - 10
of 994
pro vyhledávání: '"Mohsen EBRAHIMI"'
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
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
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
Autor:
Gheshlaghi, Tara, Nabavi, Shahabedin, Shirzadikia, Samire, Moghaddam, Mohsen Ebrahimi, Rostampour, Nima
Publikováno v:
Physics in Medicine & Biology, Volume 69, Number 4, 2024
Radiation therapy is the primary method used to treat cancer in the clinic. Its goal is to deliver a precise dose to the planning target volume (PTV) while protecting the surrounding organs at risk (OARs). However, the traditional workflow used by do
Externí odkaz:
http://arxiv.org/abs/2307.12005
Autor:
Seyed-Mohsen, Ebrahimi, Johanna, Tuunanen, Ville, Saarela, Marja, Honkamo, Niko, Huotari, Lauri, Raitamaa, Vesa, Korhonen, Heta, Helakari, Mika, Kaakinen, Lauri, Eklund, Vesa, Kiviniemi
Recent research shows the eye has a paravascular solute transport pathway driven by physiological pulsations resembling the brain. we developed synchronous multimodal imaging tools aimed at measuring the driving pulsations of the human eye. We used a
Externí odkaz:
http://arxiv.org/abs/2304.12629
DeepFake involves the use of deep learning and artificial intelligence techniques to produce or change video and image contents typically generated by GANs. Moreover, it can be misused and leads to fictitious news, ethical and financial crimes, and a
Externí odkaz:
http://arxiv.org/abs/2304.04537
Autor:
Nabavi, Shahabedin, Simchi, Hossein, Moghaddam, Mohsen Ebrahimi, Abin, Ahmad Ali, Frangi, Alejandro F.
Publikováno v:
Computer Methods and Programs in Biomedicine, Volume 242, 2023, 107770
Background and Objectives: Cardiovascular magnetic resonance (CMR) imaging is a powerful modality in functional and anatomical assessment for various cardiovascular diseases. Sufficient image quality is essential to achieve proper diagnosis and treat
Externí odkaz:
http://arxiv.org/abs/2303.13324
Purpose Predicting the progression of MCI to Alzheimer's disease is an important step in reducing the progression of the disease. Therefore, many methods have been introduced for this task based on deep learning. Among these approaches, the methods b
Externí odkaz:
http://arxiv.org/abs/2303.10401
Publikováno v:
Multimedia Tools and Applications, Volume 83, pages 12209-12233, 2024
Recently, the attention-enriched encoder-decoder framework has aroused great interest in image captioning due to its overwhelming progress. Many visual attention models directly leverage meaningful regions to generate image descriptions. However, see
Externí odkaz:
http://arxiv.org/abs/2302.04676
Publikováno v:
Brain Informatics, Vol 11, Iss 1, Pp 1-18 (2024)
Abstract This study investigates the correlation between brain age and chronological age in healthy individuals using brain MRI images, aiming to identify potential biomarkers for neurodegenerative diseases like Alzheimer's. To achieve this, a novel
Externí odkaz:
https://doaj.org/article/3c8594f727c24604a02a480b8ee319da
