Zobrazeno 1 - 10
of 111
pro vyhledávání: '"Mortazi, A."'
Autor:
Mehrdad Hashemi, Elaheh Mohandesi Khosroshahi, Saba Asadi, Mahsa Tanha, Forough Ghatei Mohseni, Ramina Abdolmohammad Sagha, Elham Taheri, Paria Vazayefi, Helya Shekarriz, Fatemeh Habibi, Shaghayegh Mortazi, Ramin Khorrami, Noushin Nabavi, Mohsen Rashidi, Afshin Taheriazam, Payman Rahimzadeh, Maliheh Entezari
Publikováno v:
Non-coding RNA Research, Vol 10, Iss , Pp 1-15 (2025)
Cancer progression results from the dysregulation of molecular pathways, each with unique features that can either promote or inhibit tumor growth. The complexity of carcinogenesis makes it challenging for researchers to target all pathways in cancer
Externí odkaz:
https://doaj.org/article/ffc373024d574d789b422039da6e9a98
The goal of this work is to identify the best optimizers for deep learning in the context of cardiac image segmentation and to provide guidance on how to design segmentation networks with effective optimization strategies. Adaptive learning helps wit
Externí odkaz:
http://arxiv.org/abs/2302.02289
Publikováno v:
Case Reports in Clinical Practice, Vol 8, Iss 6 (2024)
Granulomatosis with polyangiitis, previously known as Wegener’s, is a necrotizing vascular disease that affects small blood vessels and may cause damage to the respiratory tract and kidneys. In this article, we report on a 50-year-old male with a c
Externí odkaz:
https://doaj.org/article/08be33174be1475da88cbb416dc5fd7e
Autor:
Desai, Arjun D., Caliva, Francesco, Iriondo, Claudia, Khosravan, Naji, Mortazi, Aliasghar, Jambawalikar, Sachin, Torigian, Drew, Ellermann, Jutta, Akcakaya, Mehmet, Bagci, Ulas, Tibrewala, Radhika, Flament, Io, O`Brien, Matthew, Majumdar, Sharmila, Perslev, Mathias, Pai, Akshay, Igel, Christian, Dam, Erik B., Gaj, Sibaji, Yang, Mingrui, Nakamura, Kunio, Li, Xiaojuan, Deniz, Cem M., Juras, Vladimir, Regatte, Ravinder, Gold, Garry E., Hargreaves, Brian A., Pedoia, Valentina, Chaudhari, Akshay S.
Purpose: To organize a knee MRI segmentation challenge for characterizing the semantic and clinical efficacy of automatic segmentation methods relevant for monitoring osteoarthritis progression. Methods: A dataset partition consisting of 3D knee MRI
Externí odkaz:
http://arxiv.org/abs/2004.14003
Publikováno v:
Frontiers in Nuclear Medicine, Vol 3 (2023)
PurposeTissue radiotracer activity measured from positron emission tomography (PET) images is an important biomarker that is clinically utilized for diagnosis, staging, prognostication, and treatment response assessment in patients with cancer and ot
Externí odkaz:
https://doaj.org/article/8f6d8d5487bd4b599b0018df206c9804
Publikováno v:
Frontiers in Radiology, Vol 3 (2023)
PurposeThe goal of this work is to explore the best optimizers for deep learning in the context of medical image segmentation and to provide guidance on how to design segmentation networks with effective optimization strategies.ApproachMost successfu
Externí odkaz:
https://doaj.org/article/d73448573d8d4bc09320019c2907d904
The performance of the state-of-the-art image segmentation methods heavily relies on the high-quality annotations, which are not easily affordable, particularly for medical data. To alleviate this limitation, in this study, we propose a weakly superv
Externí odkaz:
http://arxiv.org/abs/1908.06498
Adversarial learning has been proven to be effective for capturing long-range and high-level label consistencies in semantic segmentation. Unique to medical imaging, capturing 3D semantics in an effective yet computationally efficient way remains an
Externí odkaz:
http://arxiv.org/abs/1906.04378
Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge
Autor:
Zhuang, Xiahai, Li, Lei, Payer, Christian, Stern, Darko, Urschler, Martin, Heinrich, Mattias P., Oster, Julien, Wang, Chunliang, Smedby, Orjan, Bian, Cheng, Yang, Xin, Heng, Pheng-Ann, Mortazi, Aliasghar, Bagci, Ulas, Yang, Guanyu, Sun, Chenchen, Galisot, Gaetan, Ramel, Jean-Yves, Brouard, Thierry, Tong, Qianqian, Si, Weixin, Liao, Xiangyun, Zeng, Guodong, Shi, Zenglin, Zheng, Guoyan, Wang, Chengjia, MacGillivray, Tom, Newby, David, Rhode, Kawal, Ourselin, Sebastien, Mohiaddin, Raad, Keegan, Jennifer, Firmin, David, Yang, Guang
Knowledge of whole heart anatomy is a prerequisite for many clinical applications. Whole heart segmentation (WHS), which delineates substructures of the heart, can be very valuable for modeling and analysis of the anatomy and functions of the heart.
Externí odkaz:
http://arxiv.org/abs/1902.07880
Publikováno v:
Faṣlnāmah-i Pizhūhish-i Huqūq-i Kiyfarī, Vol 11, Iss 43 (2023)
The main question is whether the agreement to change the organ subjects to qisas to a similar organ is legitimate and causes the right of qisas to be forfeited concerning the original organ? There has not been a comprehensive research research in thi
Externí odkaz:
https://doaj.org/article/8aff38802dcc411085546af04a0d6bf3