Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Quan Tran Minh"'
Publikováno v:
PLoS Neglected Tropical Diseases, Vol 16, Iss 5, p e0010361 (2022)
BackgroundJapanese Encephalitis (JE) is known for its high case fatality ratio (CFR) and long-term neurological sequelae. Over the years, efforts in JE treatment and control might change the JE fatality risk. However, previous estimates were from 10
Externí odkaz:
https://doaj.org/article/f88fe542ae314062aa9eb653d1649e63
Autor:
Jaspreet Toor, Susy Echeverria-Londono, Xiang Li, Kaja Abbas, Emily D Carter, Hannah E Clapham, Andrew Clark, Margaret J de Villiers, Kirsten Eilertson, Matthew Ferrari, Ivane Gamkrelidze, Timothy B Hallett, Wes R Hinsley, Daniel Hogan, John H Huber, Michael L Jackson, Kevin Jean, Mark Jit, Andromachi Karachaliou, Petra Klepac, Alicia Kraay, Justin Lessler, Xi Li, Benjamin A Lopman, Tewodaj Mengistu, C Jessica E Metcalf, Sean M Moore, Shevanthi Nayagam, Timos Papadopoulos, T Alex Perkins, Allison Portnoy, Homie Razavi, Devin Razavi-Shearer, Stephen Resch, Colin Sanderson, Steven Sweet, Yvonne Tam, Hira Tanvir, Quan Tran Minh, Caroline L Trotter, Shaun A Truelove, Emilia Vynnycky, Neff Walker, Amy Winter, Kim Woodruff, Neil M Ferguson, Katy AM Gaythorpe
Publikováno v:
eLife, Vol 10 (2021)
Background: Vaccination is one of the most effective public health interventions. We investigate the impact of vaccination activities for Haemophilus influenzae type b, hepatitis B, human papillomavirus, Japanese encephalitis, measles, Neisseria meni
Externí odkaz:
https://doaj.org/article/a9148d620073475896adae63fa6b99e8
Autor:
Huy, Pham Ngoc, Quan, Tran Minh
In this study, we introduce a generative model that can synthesize a large number of radiographical image/label pairs, and thus is asymptotically favorable to downstream activities such as segmentation in bio-medical image analysis. Denoising Diffusi
Externí odkaz:
http://arxiv.org/abs/2304.09383
Autor:
Huy, Pham Ngoc, Quan, Tran Minh
The proposed method, Neural Radiance Projection (NeRP), addresses the three most fundamental shortages of training such a convolutional neural network on X-ray image segmentation: dealing with missing/limited human-annotated datasets; ambiguity on th
Externí odkaz:
http://arxiv.org/abs/2203.07658
Instance segmentation is one of the actively studied research topics in computer vision in which many objects of interest should be separated individually. While many feed-forward networks produce high-quality segmentation on different types of image
Externí odkaz:
http://arxiv.org/abs/2005.07058
Publikováno v:
IEEE Trans. Med. Imaging 37(6): 1488-1497 (2018)
Compressed Sensing MRI (CS-MRI) has provided theoretical foundations upon which the time-consuming MRI acquisition process can be accelerated. However, it primarily relies on iterative numerical solvers which still hinders their adaptation in time-cr
Externí odkaz:
http://arxiv.org/abs/1709.00753
FusionNet: A deep fully residual convolutional neural network for image segmentation in connectomics
Electron microscopic connectomics is an ambitious research direction with the goal of studying comprehensive brain connectivity maps by using high-throughput, nano-scale microscopy. One of the main challenges in connectomics research is developing sc
Externí odkaz:
http://arxiv.org/abs/1612.05360
Akademický článek
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Publikováno v:
In Medical Image Analysis April 2019 53:179-196
Autor:
Amir S. Siraj, John H. Huber, Rachel J. Oidtman, T. Alex Perkins, Quan Tran Minh, Sean M. Moore, Magdalene K. Walters
Publikováno v:
Science advances. 7(42)
Geographically stratified estimates of disease burden play an important role in setting priorities for the management of different diseases and for targeting interventions against a single disease. Such estimates involve numerous assumptions, which u