Zobrazeno 1 - 10
of 2 679
pro vyhledávání: '"Watson, Mark"'
Autor:
Zhou, Haowen, Steven, Lin, Watson, Mark, Bernadt, Cory T., Zhang, Oumeng, Govindan, Ramaswamy, Cote, Richard J., Yang, Changhuei
Deep learning assisted digital pathology has the potential to impact clinical practice in significant ways. In recent studies, deep neural network (DNN) enabled analysis outperforms human pathologists. Increasing sizes and complexity of the DNN archi
Externí odkaz:
http://arxiv.org/abs/2406.00555
Autor:
Watson, Mark
Using a Lattice Boltzmann hydrodynamic computational modeler to simulate relativistic fluid systems we explore turbulence in two-dimensional relativistic flows. We first a give a pedagogical description of the phenomenon of turbulence and its charact
Externí odkaz:
http://arxiv.org/abs/2205.04658
Autor:
Watson, Mark
At low Reynolds numbers, the wind flow in the wake of a single wind turbine is generally not turbulent. However, turbines in wind farms affect each other's wakes so that a turbulent flow can arise. In the present work, an analogue of this effect for
Externí odkaz:
http://arxiv.org/abs/2202.07839
Autor:
Müller, Ulrich K., Watson, Mark W.
We propose a method for constructing confidence intervals that account for many forms of spatial correlation. The interval has the familiar `estimator plus and minus a standard error times a critical value' form, but we propose new methods for constr
Externí odkaz:
http://arxiv.org/abs/2102.09353
Autor:
Watson, Mark
We investigate a relativistic adaptation of the Lattice Boltzmann Method that reproduces the equations of motion for a turbulent, two-dimensional, massless hydrodynamic system. The classical Lattice Boltzmann Method and its extension to relativistic
Externí odkaz:
http://arxiv.org/abs/2101.06187
The Liquid Biopsy Consortium: Challenges and opportunities for early cancer detection and monitoring
Autor:
Batool, Syeda Maheen, Yekula, Anudeep, Khanna, Prerna, Hsia, Tiffaney, Gamblin, Austin S., Ekanayake, Emil, Escobedo, Ana K., You, Dong Gil, Castro, Cesar M., Im, Hyungsoon, Kilic, Tugba, Garlin, Michelle Andrea, Skog, Johan, Dinulescu, Daniela M., Dudley, Jonathan, Agrawal, Nishant, Cheng, Jordan, Abtin, Fereidoun, Aberle, Denise R., Chia, David, Elashoff, David, Grognan, Tristan, Krysan, Kostyantyn, Oh, Scott S., Strom, Charles, Tu, Michael, Wei, Fang, Xian, Rena R., Skates, Steven J., Zhang, David Y., Trinh, Thi, Watson, Mark, Aft, Rebecca, Rawal, Siddarth, Agarwal, Ashutosh, Kesmodel, Susan B., Yang, Changhuei, Shen, Cheng, Hochberg, Fred H., Wong, David T.W., Patel, Abhijit A., Papadopoulos, Nickolas, Bettegowda, Chetan, Cote, Richard J., Srivastava, Sudhir, Lee, Hakho, Carter, Bob S., Balaj, Leonora
Publikováno v:
In Cell Reports Medicine 17 October 2023 4(10)
Autor:
Batool, Syeda Maheen, Hsia, Tiffaney, Beecroft, Alexandra, Lewis, Brian, Ekanayake, Emil, Rosenfeld, Yulia, Escobedo, Ana K., Gamblin, Austin S., Rawal, Siddarth, Cote, Richard J., Watson, Mark, Wong, David T.W., Patel, Abhijit A., Skog, Johan, Papadopoulos, Nickolas, Bettegowda, Chetan, Castro, Cesar M., Lee, Hakho, Srivastava, Sudhir, Carter, Bob S., Balaj, Leonora
Publikováno v:
In Cell Reports Medicine 17 October 2023 4(10)
Autor:
Karlow, Jennifer A., Pehrsson, Erica C., Xing, Xiaoyun, Watson, Mark, Devarakonda, Siddhartha, Govindan, Ramaswamy, Wang, Ting
Publikováno v:
In Genomics, Proteomics & Bioinformatics October 2023 21(5):991-1013