Zobrazeno 1 - 10
of 206
pro vyhledávání: '"Veerabhadran Baladandayuthapani"'
Publikováno v:
Frontiers in Genetics, Vol 14 (2023)
Introduction: The acquisition of high-resolution digital pathology imaging data has sparked the development of methods to extract context-specific features from such complex data. In the context of cancer, this has led to increased exploration of the
Externí odkaz:
https://doaj.org/article/226abc0e50104775b0abc0ed90fc55cf
Autor:
Rupam Bhattacharyya, Rajmohan Panda, Sayantan Banerjee, Kalpana Singh, Anik Burman, Subha Maity, Arnab Auddy, Sarit Kumar Rout, Supriya Lahoti, Veerabhadran Baladandayuthapani
Publikováno v:
BMJ Open, Vol 12, Iss 11 (2022)
Objectives COVID-19 has differentially affected countries, with health infrastructure and other related vulnerability indicators playing a role in determining the extent of its spread. Vulnerability of a geographical region to COVID-19 has been a top
Externí odkaz:
https://doaj.org/article/bbc310fc5398409d8574e48ed90cde89
Autor:
Min Jin Ha, Sayantan Banerjee, Rehan Akbani, Han Liang, Gordon B. Mills, Kim-Anh Do, Veerabhadran Baladandayuthapani
Publikováno v:
Scientific Reports, Vol 8, Iss 1, Pp 1-14 (2018)
Abstract Personalized (patient-specific) approaches have recently emerged with a precision medicine paradigm that acknowledges the fact that molecular pathway structures and activity might be considerably different within and across tumors. The funct
Externí odkaz:
https://doaj.org/article/43e7c4bc16ff4b8082b5fe42d8213ff3
Autor:
Kaixian Yu, Youyi Zhang, Yang Yu, Chao Huang, Rongjie Liu, Tengfei Li, Liuqing Yang, Jeffrey S. Morris, Veerabhadran Baladandayuthapani, Hongtu Zhu
Publikováno v:
Clinical and Translational Radiation Oncology, Vol 7, Iss , Pp 49-54 (2017)
Human Papilloma Virus (HPV) has been associated with oropharyngeal cancer prognosis. Traditionally the HPV status is tested through invasive lab test. Recently, the rapid development of statistical image analysis techniques has enabled precise quanti
Externí odkaz:
https://doaj.org/article/db2323abbc25433aa6171b58c6ffd751
Autor:
Abhijoy Saha, Sayantan Banerjee, Sebastian Kurtek, Shivali Narang, Joonsang Lee, Ganesh Rao, Juan Martinez, Karthik Bharath, Arvind U.K. Rao, Veerabhadran Baladandayuthapani
Publikováno v:
NeuroImage: Clinical, Vol 12, Iss C, Pp 132-143 (2016)
Tumor heterogeneity is a crucial area of cancer research wherein inter- and intra-tumor differences are investigated to assess and monitor disease development and progression, especially in cancer. The proliferation of imaging and linked genomic data
Externí odkaz:
https://doaj.org/article/df69e0727bf54758871b8b0b9de7ae15
Autor:
Hesham Elhalawani, Timothy A. Lin, Stefania Volpe, Abdallah S. R. Mohamed, Aubrey L. White, James Zafereo, Andrew J. Wong, Joel E. Berends, Shady AboHashem, Bowman Williams, Jeremy M. Aymard, Aasheesh Kanwar, Subha Perni, Crosby D. Rock, Luke Cooksey, Shauna Campbell, Pei Yang, Khahn Nguyen, Rachel B. Ger, Carlos E. Cardenas, Xenia J. Fave, Carlo Sansone, Gabriele Piantadosi, Stefano Marrone, Rongjie Liu, Chao Huang, Kaixian Yu, Tengfei Li, Yang Yu, Youyi Zhang, Hongtu Zhu, Jeffrey S. Morris, Veerabhadran Baladandayuthapani, John W. Shumway, Alakonanda Ghosh, Andrei Pöhlmann, Hady A. Phoulady, Vibhas Goyal, Guadalupe Canahuate, G. Elisabeta Marai, David Vock, Stephen Y. Lai, Dennis S. Mackin, Laurence E. Court, John Freymann, Keyvan Farahani, Jayashree Kaplathy-Cramer, Clifton D. Fuller
Publikováno v:
Frontiers in Oncology, Vol 8 (2018)
Radiomics leverages existing image datasets to provide non-visible data extraction via image post-processing, with the aim of identifying prognostic, and predictive imaging features at a sub-region of interest level. However, the application of radio
Externí odkaz:
https://doaj.org/article/0470a3fe0ec44bbd97b0008f84f49829
Bayesian variable selection with graphical structure learning: Applications in integrative genomics.
Autor:
Suprateek Kundu, Yichen Cheng, Minsuk Shin, Ganiraju Manyam, Bani K Mallick, Veerabhadran Baladandayuthapani
Publikováno v:
PLoS ONE, Vol 13, Iss 7, p e0195070 (2018)
Significant advances in biotechnology have allowed for simultaneous measurement of molecular data across multiple genomic, epigenomic and transcriptomic levels from a single tumor/patient sample. This has motivated systematic data-driven approaches t
Externí odkaz:
https://doaj.org/article/95253fa6929948c39ede4e17ee05d449
Publikováno v:
Cancer Informatics, Vol 2015, Iss Suppl. 1, Pp 23-35 (2015)
Externí odkaz:
https://doaj.org/article/b7a25783cbb046469c6d05682fe0678c
Autor:
Lin Zhang, Jeffrey S. Morris, Jiexin Zhang, Robert Z. Orlowski, Veerabhadran Baladandayuthapani
Publikováno v:
Cancer Informatics, Vol 2014, Iss Suppl. 2, Pp 113-123 (2014)
Externí odkaz:
https://doaj.org/article/6d310eae03ad44968ba2ed65a094125b
Publikováno v:
Cancer Informatics, Vol 2014, Iss Suppl. 2, Pp 83-91 (2014)
Externí odkaz:
https://doaj.org/article/5539bd6b4f714f4794ebf1f0c49e1818