Zobrazeno 1 - 10
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pro vyhledávání: '"Taher, Mohammad A."'
Autor:
Nguyen, Viet Cuong, Taher, Mohammad, Hong, Dongwan, Possobom, Vinicius Konkolics, Gopalakrishnan, Vibha Thirunellayi, Raj, Ekta, Li, Zihang, Soled, Heather J., Birnbaum, Michael L., Kumar, Srijan, De Choudhury, Munmun
The rapid evolution of Large Language Models (LLMs) offers promising potential to alleviate the global scarcity of mental health professionals. However, LLMs' alignment with essential mental health counseling competencies remains understudied. We int
Externí odkaz:
http://arxiv.org/abs/2410.22446
Humans effortlessly interpret images by parsing them into part-whole hierarchies; deep learning excels in learning multi-level feature spaces, but they often lack explicit coding of part-whole relations, a prominent property of medical imaging. To ov
Externí odkaz:
http://arxiv.org/abs/2404.15672
Human anatomy is the foundation of medical imaging and boasts one striking characteristic: its hierarchy in nature, exhibiting two intrinsic properties: (1) locality: each anatomical structure is morphologically distinct from the others; and (2) comp
Externí odkaz:
http://arxiv.org/abs/2309.15358
Autor:
Abu Taher Mohammad Anwarul Islam Mondol, Md. Akhter Hossain Chowdhury, Sharif Ahmed, Md Khairul Alam
Publikováno v:
Nitrogen, Vol 5, Iss 3, Pp 746-762 (2024)
Determining nutrient-release patterns of organic manures can give an estimate of the potential amount of nutrients that a given material can contribute to crops along with chemical fertiliser. Nutrients released from organic manure depend on several
Externí odkaz:
https://doaj.org/article/23a3d6259f8c4c9fa1fb8ef1204ee51b
Discriminative learning, restorative learning, and adversarial learning have proven beneficial for self-supervised learning schemes in computer vision and medical imaging. Existing efforts, however, omit their synergistic effects on each other in a t
Externí odkaz:
http://arxiv.org/abs/2204.10437
Recently, self-supervised instance discrimination methods have achieved significant success in learning visual representations from unlabeled photographic images. However, given the marked differences between photographic and medical images, the effi
Externí odkaz:
http://arxiv.org/abs/2204.07344
Publikováno v:
Open Engineering, Vol 14, Iss 1, Pp 1-15 (2024)
The utilization of distillation stands as a predominant separation method within the chemical and petroleum industries, prominently influencing operational costs and environmental impact due to energy consumption. Enhancing energy efficiency holds pa
Externí odkaz:
https://doaj.org/article/ea6730ac87ef4e1f917934e53fceae27
Autor:
Taher, Mohammad Abdullah, Hossain, Md. Jamal, Zahan, Miss Sharmin, Hasan, Mohammad Mahmudul, Ferdous, Jannatul, Rahman, Asheka, Khan, Mala, Hosain, Md. Khalid, Rashid, Mohammad A.
Publikováno v:
In Heliyon 15 August 2024 10(15)
Autor:
Taher, Mohammad Reza Hosseinzadeh, Haghighi, Fatemeh, Feng, Ruibin, Gotway, Michael B., Liang, Jianming
Transfer learning from supervised ImageNet models has been frequently used in medical image analysis. Yet, no large-scale evaluation has been conducted to benchmark the efficacy of newly-developed pre-training techniques for medical image analysis, l
Externí odkaz:
http://arxiv.org/abs/2108.05930
Publikováno v:
In Medical Image Analysis May 2024 94