Zobrazeno 1 - 10
of 823
pro vyhledávání: '"Shah Pratik"'
Publikováno v:
Journal of Clinical Interventional Radiology ISVIR, Vol 08, Iss 01, Pp 060-064 (2024)
Aneurysms rarely present with features of ischemic stroke. The data on treatment of such strokes is limited. We present a case of multiple aneurysms and an ischemic stroke caused by distal anterior cerebral artery (DACA) aneurysm treated with flow di
Externí odkaz:
https://doaj.org/article/6c60eddc360849c6b4348c54d91eef1e
Publikováno v:
Yugoslav Journal of Operations Research, Vol 33, Iss 3, Pp 435-448 (2023)
At present, augmentation of carbon gases in atmosphere has become a major concern. Regulatory bodies in many countries have focused on reduction of carbon emissions. Several countries follow carbon tax and carbon cap trade policy to control emission
Externí odkaz:
https://doaj.org/article/5e92060fbcd04d7c862903f79dcdaf02
Tools, models and statistical methods for signal processing and medical image analysis and training deep learning models to create research prototypes for eventual clinical applications are of special interest to the biomedical imaging community. But
Externí odkaz:
http://arxiv.org/abs/2312.13333
Motivated by the novel paradigm developed by Van Roy and coauthors for reinforcement learning in arbitrary non-Markovian environments, we propose a related formulation and explicitly pin down the error caused by non-Markovianity of observations when
Externí odkaz:
http://arxiv.org/abs/2211.01595
Deep learning models (DLMs) can achieve state of the art performance in medical image segmentation and classification tasks. However, DLMs that do not provide feedback for their predictions such as Dice coefficients (Dice) have limited deployment pot
Externí odkaz:
http://arxiv.org/abs/2109.00115
Publikováno v:
In Systems & Control Letters March 2024 185
Autor:
Ghosal, Sambuddha, Shah, Pratik
Publikováno v:
Published in Cell Reports Methods 1, 100107, 2021. "A deep-learning toolkit for visualization and interpretation of segmented medical images"
Deep learning (DL) models for disease classification or segmentation from medical images are increasingly trained using transfer learning (TL) from unrelated natural world images. However, shortcomings and utility of TL for specialized tasks in the m
Externí odkaz:
http://arxiv.org/abs/2011.05791
Akademický článek
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Publikováno v:
BMC Genomics, Vol 11, Iss 1, p 350 (2010)
Abstract Background The identification of non-coding transcripts in human, mouse, and Escherichia coli has revealed their widespread occurrence and functional importance in both eukaryotic and prokaryotic life. In prokaryotes, studies have shown that
Externí odkaz:
https://doaj.org/article/74311b2ad9164d7cbc7603f65e88d823
Autor:
Rana, Aman, Lowe, Alarice, Lithgow, Marie, Horback, Katharine, Janovitz, Tyler, Da Silva, Annacarolina, Tsai, Harrison, Shanmugam, Vignesh, Yoon, Hyung-Jin, Shah, Pratik
Publikováno v:
JAMA Network. 2020;3(5):e205111
Histopathological diagnoses of tumors in tissue biopsy after Hematoxylin and Eosin (H&E) staining is the gold standard for oncology care. H&E staining is slow and uses dyes, reagents and precious tissue samples that cannot be reused. Thousands of nat
Externí odkaz:
http://arxiv.org/abs/1908.01593