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of 530
pro vyhledávání: '"Desai, Neil"'
Autor:
Balagopal, Anjali, Dohopolski, Michael, Kwon, Young Suk, Montalvo, Steven, Morgan, Howard, Bai, Ti, Nguyen, Dan, Liang, Xiao, Zhong, Xinran, Lin, Mu-Han, Desai, Neil, Jiang, Steve
Background and purpose: Radiation-induced erectile dysfunction (RiED) is commonly seen in prostate cancer patients. Clinical trials have been developed in multiple institutions to investigate whether dose-sparing to the internal-pudendal-arteries (IP
Externí odkaz:
http://arxiv.org/abs/2302.01493
Autor:
Wang, Biling, Dohopolski, Michael, Bai, Ti, Wu, Junjie, Hannan, Raquibul, Desai, Neil, Garant, Aurelie, Yang, Daniel, Nguyen, Dan, Lin, Mu-Han, Timmerman, Robert, Wang, Xinlei, Jiang, Steve
We evaluated the temporal performance of a deep learning (DL) based artificial intelligence (AI) model for auto segmentation in prostate radiotherapy, seeking to correlate its efficacy with changes in clinical landscapes. Our study involved 1328 pros
Externí odkaz:
http://arxiv.org/abs/2210.05673
Autor:
Desai, Neil Himansu
The most important modifiable risk factor in reducing all-cause morbidity and mortality is systemic arterial hypertension. Elevated blood pressures are associated with greater risks of cardiac disease. Less than half of the population with hypertensi
Externí odkaz:
https://hdl.handle.net/2144/43824
Publikováno v:
In Seminars in Nuclear Medicine July 2024 54(4):488-496
Autor:
Balagopal, Anjali, Dohopolski, Michael, Suk Kwon, Young, Montalvo, Steven, Morgan, Howard, Bai, Ti, Nguyen, Dan, Liang, Xiao, Zhong, Xinran, Lin, Mu-Han, Desai, Neil, Jiang, Steve
Publikováno v:
In Physics and Imaging in Radiation Oncology April 2024 30
Autor:
Balagopal, Anjali, Morgan, Howard, Dohopoloski, Michael, Timmerman, Ramsey, Shan, Jie, Heitjan, Daniel F., Liu, Wei, Nguyen, Dan, Hannan, Raquibul, Garant, Aurelie, Desai, Neil, Jiang, Steve
Automatic segmentation of medical images with DL algorithms has proven to be highly successful. With most of these algorithms, inter-observer variation is an acknowledged problem, leading to sub-optimal results. This problem is even more significant
Externí odkaz:
http://arxiv.org/abs/2102.07880
Autor:
Balagopal, Anjali, Nguyen, Dan, Mashayekhi, Maryam, Morgan, Howard, Garant, Aurelie, Desai, Neil, Hannan, Raquibul, Lin, Mu-Han, Jiang, Steve
Inter-observer variation is a significant problem in clinical target volume(CTV) segmentation in postoperative settings, where there is no gross tumor present. In this scenario, the CTV is not an anatomically established structure, but one determined
Externí odkaz:
http://arxiv.org/abs/2102.01006
Autor:
Balagopal, Anjali, Nguyen, Dan, Morgan, Howard, Weng, Yaochung, Dohopolski, Michael, Lin, Mu-Han, Barkousaraie, Azar Sadeghnejad, Gonzalez, Yesenia, Garant, Aurelie, Desai, Neil, Hannan, Raquibul, Jiang, Steve
In post-operative radiotherapy for prostate cancer, the cancerous prostate gland has been surgically removed, so the clinical target volume (CTV) to be irradiated encompasses the microscopic spread of tumor cells, which cannot be visualized in typica
Externí odkaz:
http://arxiv.org/abs/2004.13294
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Akademický článek
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