Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Falahkheirkhah, Kianoush"'
Significant biomedical research and clinical care rely on the histopathologic examination of tissue structure using microscopy of stained tissue. Virtual staining (VS) offers a promising alternative with the potential to reduce cost and eliminate the
Externí odkaz:
http://arxiv.org/abs/2411.15060
The detection of semantic and covariate out-of-distribution (OOD) examples is a critical yet overlooked challenge in digital pathology (DP). Recently, substantial insight and methods on OOD detection were presented by the ML community, but how do the
Externí odkaz:
http://arxiv.org/abs/2407.13708
Histopathology is critical for the diagnosis of many diseases, including cancer. These protocols typically require pathologists to manually evaluate slides under a microscope, which is time-consuming and subjective, leading to interest in machine lea
Externí odkaz:
http://arxiv.org/abs/2303.02241
Autor:
Falahkheirkhah, Kianoush, Tiwari, Saumya, Yeh, Kevin, Gupta, Sounak, Herrera-Hernandez, Loren, McCarthy, Michael R., Jimenez, Rafael E., Cheville, John C., Bhargava, Rohit
An optical microscopic examination of thinly cut stained tissue on glass slides prepared from a FFPE tissue blocks is the gold standard for tissue diagnostics. In addition, the diagnostic abilities and expertise of any pathologist is dependent on the
Externí odkaz:
http://arxiv.org/abs/2206.08308
Publikováno v:
In Machine Learning with Applications June 2024 16
Autor:
Falahkheirkhah, Kianoush, Guo, Tao, Hwang, Michael, Tamboli, Pheroze, Wood, Christopher G, Karam, Jose A, Sircar, Kanishka, Bhargava, Rohit
In clinical diagnostics and research involving histopathology, formalin fixed paraffin embedded (FFPE) tissue is almost universally favored for its superb image quality. However, tissue processing time (more than 24 hours) can slow decision-making. I
Externí odkaz:
http://arxiv.org/abs/2108.10550
Infrared (IR) microscopes measure spectral information that quantifies molecular content to assign the identity of biomedical cells but lack the spatial quality of optical microscopy to appreciate morphologic features. Here, we propose a method to ut
Externí odkaz:
http://arxiv.org/abs/1911.04410
Autor:
Falahkheirkhah, Kianoush, Tiwari, Saumya, Yeh, Kevin, Gupta, Sounak, Herrera-Hernandez, Loren, McCarthy, Michael R., Jimenez, Rafael E., Cheville, John C., Bhargava, Rohit
Publikováno v:
In Laboratory Investigation January 2023 103(1)
Autor:
Falahkheirkhah, Kianoush, Guo, Tao, Hwang, Michael, Tamboli, Pheroze, Wood, Christopher G., Karam, Jose A., Sircar, Kanishka, Bhargava, Rohit
Publikováno v:
In Laboratory Investigation May 2022 102(5):554-559
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