Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Noora Al-Hammadi"'
Publikováno v:
BMC Medical Imaging, Vol 23, Iss 1, Pp 1-11 (2023)
Abstract Background In recent years, there has been a growing trend towards utilizing Artificial Intelligence (AI) and machine learning techniques in medical imaging, including for the purpose of automating quality assurance. In this research, we aim
Externí odkaz:
https://doaj.org/article/2959192712a64ac4bf3e0b276f0ebb37
Autor:
Zubair Saeed, Othmane Bouhali, Jim Xiuquan Ji, Rabih Hammoud, Noora Al-Hammadi, Souha Aouadi, Tarraf Torfeh
Publikováno v:
Bioengineering, Vol 11, Iss 5, p 410 (2024)
Brain cancer is a life-threatening disease requiring close attention. Early and accurate diagnosis using non-invasive medical imaging is critical for successful treatment and patient survival. However, manual diagnosis by radiologist experts is time-
Externí odkaz:
https://doaj.org/article/7afe0c3a7e8b42219eff554039ae25b8
Autor:
S.A. Yoganathan, Souha Aouadi, Sharib Ahmed, Satheesh Paloor, Tarraf Torfeh, Noora Al-Hammadi, Rabih Hammoud
Publikováno v:
Physics and Imaging in Radiation Oncology, Vol 28, Iss , Pp 100512- (2023)
Background and purpose: Accurate CT numbers in Cone Beam CT (CBCT) are crucial for precise dose calculations in adaptive radiotherapy (ART). This study aimed to generate synthetic CT (sCT) from CBCT using deep learning (DL) models in head and neck (H
Externí odkaz:
https://doaj.org/article/43a6bbc9dc2f4ee6bcacd00729afb8b3
Autor:
Venkada Manickam Gurusamy, Saju Raveendran Divakar, Suparna Halsnad Chandramouli, Beena Kunheri, Hissa Hussain Al-Abdulla, Ghazia Shaikh, Rajiv Chaudary Apsani, Mohamed Riyaz Poolakundan, Palmira Caparrotti, Rabih Wafiq Hammoud, Noora Al-Hammadi
Publikováno v:
Clinical and Translational Radiation Oncology, Vol 39, Iss , Pp 100559- (2023)
Earlier, prior to the development of effective systemic therapy, monotherapy with whole-brain radiotherapy (WBRT) was widely used to treat primary central nervous system lymphoma (PCNSL). Recently, chemotherapy, especially with high dose methotrexate
Externí odkaz:
https://doaj.org/article/f009562b420a48c9aec37c5a2a006806
Autor:
Venkada Manickam Gurusamy, Noora Al-Hammadi, Palmira Caparrotti, Saju Raveendran Divakar, Rabih Wafiq Hammoud, Ghazia Shaikh
Publikováno v:
Cancer Treatment and Research Communications, Vol 33, Iss , Pp 100655- (2022)
Purpose: We report the clinical outcomes of patients with soft tissue sarcomas (STS) arising in extremities treated with image-guided intensity modulated radiotherapy (IG-IMRT) at our institute. Local control of the tumors treated with RT was the pri
Externí odkaz:
https://doaj.org/article/e11894ff93874453996677df62560527
Autor:
Venkada Manickam Gurusamy, Suparna Halsnad Chandramouli, Muhammad Usman, Saju Raveendran Divakar, Rabih Wafiq Hammoud, Noora Al-Hammadi
Publikováno v:
Cancer Treatment and Research Communications, Vol 31, Iss , Pp 100566- (2022)
Purpose:: It is imperative to spare functioning kidneys from high radiation doses when they are near enough to radiotherapy (RT) target volumes in patients with polycystic kidney disease (PKD). To achieve this intent, we designed the unique approach
Externí odkaz:
https://doaj.org/article/e9b37b7708c64d098ee52b7e36e8f6da
Autor:
S A, Yoganathan, Siji Nojin, Paul, Satheesh, Paloor, Tarraf, Torfeh, Suparna Halsnad, Chandramouli, Rabih, Hammoud, Noora, Al-Hammadi
Publikováno v:
Medical Physics. 49:1571-1584
Magnetic resonance (MR) imaging is the gold standard in image-guided brachytherapy (IGBT) due to its superior soft-tissue contrast for target and organs-at-risk (OARs) delineation. Accurate and fast segmentation of MR images are very important for hi
Autor:
Souha Aouadi, Nadin Mohamed, Jude Aloudeh, Mohamed Zeid, Othmane Bouhali, Rabih Hammoud, Noora Al-Hammadi, Tarraf Torfeh
Magnetic Resonance Imaging (MRI) is one of the most used imaging modalities for the identification and quantification of various types of cancers. MRI image analysis is mostly conducted by experts relying on the visual interpretation of the images an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d77874741833346322bc9f8783e0dba0
https://mts.intechopen.com/articles/show/title/review-of-cervix-cancer-classification-using-radiomics-on-diffusion-weighted-imaging
https://mts.intechopen.com/articles/show/title/review-of-cervix-cancer-classification-using-radiomics-on-diffusion-weighted-imaging
Autor:
S A Yoganathan, Satheesh Paloor, Tarraf Torfeh, Souha Aouadi, Rabih Hammoud, Noora Al-Hammadi
Publikováno v:
Biomedical physicsengineering express. 8(6)
Real-time tracking of a target volume is a promising solution for reducing the planning margins and both dosimetric and geometric uncertainties in the treatment of thoracic and upper-abdomen cancers. Respiratory motion prediction is an integral part
Autor:
Souha Aouadi, Tarraf Torfeh, Yoganathan Arunachalam, Satheesh Paloor, Mohamed Riyas, Rabih Hammoud, Noora Al-Hammadi
Publikováno v:
Biomedical Physics & Engineering Express. 9:035020
Purpose. To determine glioma grading by applying radiomic analysis or deep convolutional neural networks (DCNN) and to benchmark both approaches on broader validation sets. Methods. Seven public datasets were considered: (1) low-grade glioma or high-