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Nahil Sobh

Showing results (1-10 of 18) with videos related to

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Computational Mechanics|August 16, 2023
Error estimates and physics informed augmentation of neural networks for thermally coupled incompressible Navier Stokes equationsShoaib Goraya, Nahil Sobh, Arif Masud
APL Photonics|August 9, 2021
Label-free colorectal cancer screening using deep learning and spatial light interference microscopy (SLIM)Jingfang Kelly Zhang, Yuchen He, Nahil Sobh, et al.
Ultrasonic Imaging|September 18, 2015
Indentation Measurements to Validate Dynamic Elasticity Imaging MethodsKhaldoon N Altahhan, Yue Wang, Nahil Sobh, et al.
The Journal of Physical Chemistry. B|September 11, 2020
ChemNet: A Deep Neural Network for Advanced Composites ManufacturingElyas Goli, Sagar Vyas, Seid Koric, et al.
Biomedical Optics Express|July 14, 2011
Off-axis quantitative phase imaging processing using CUDA: toward real-time applicationsHoa Pham, Huafeng Ding, Nahil Sobh, et al.
Cells|February 25, 2022
Automatic Colorectal Cancer Screening Using Deep Learning in Spatial Light Interference Microscopy DataJingfang K Zhang, Michael Fanous, Nahil Sobh, et al.
Zookeys|August 4, 2012
InvertNet: a new paradigm for digital access to invertebrate collectionsChris Dietrich, John Hart, David Raila, et al.
Scientific Reports|November 22, 2022
White blood cell detection, classification and analysis using phase imaging with computational specificity (PICS)Michae J Fanous, Shenghua He, Sourya Sengupta, et al.
Journal of Physics. Condensed Matter : an Institute of Physics Journal|August 25, 2011
One-dimensional deterministic transport in neurons measured by dispersion-relation phase spectroscopyRu Wang, Zhuo Wang, Joe Leigh, et al.
ACS Photonics|April 28, 2022
Cell Cycle Stage Classification Using Phase Imaging with Computational SpecificityYuchen R He, Shenghua He, Mikhail E Kandel, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
Computational Mechanics|August 16, 2023
Error estimates and physics informed augmentation of neural networks for thermally coupled incompressible Navier Stokes equationsShoaib Goraya, Nahil Sobh, Arif Masud
APL Photonics|August 9, 2021
Label-free colorectal cancer screening using deep learning and spatial light interference microscopy (SLIM)Jingfang Kelly Zhang, Yuchen He, Nahil Sobh, et al.
Ultrasonic Imaging|September 18, 2015
Indentation Measurements to Validate Dynamic Elasticity Imaging MethodsKhaldoon N Altahhan, Yue Wang, Nahil Sobh, et al.
The Journal of Physical Chemistry. B|September 11, 2020
ChemNet: A Deep Neural Network for Advanced Composites ManufacturingElyas Goli, Sagar Vyas, Seid Koric, et al.
Biomedical Optics Express|July 14, 2011
Off-axis quantitative phase imaging processing using CUDA: toward real-time applicationsHoa Pham, Huafeng Ding, Nahil Sobh, et al.
Cells|February 25, 2022
Automatic Colorectal Cancer Screening Using Deep Learning in Spatial Light Interference Microscopy DataJingfang K Zhang, Michael Fanous, Nahil Sobh, et al.
Zookeys|August 4, 2012
InvertNet: a new paradigm for digital access to invertebrate collectionsChris Dietrich, John Hart, David Raila, et al.
Scientific Reports|November 22, 2022
White blood cell detection, classification and analysis using phase imaging with computational specificity (PICS)Michae J Fanous, Shenghua He, Sourya Sengupta, et al.
Journal of Physics. Condensed Matter : an Institute of Physics Journal|August 25, 2011
One-dimensional deterministic transport in neurons measured by dispersion-relation phase spectroscopyRu Wang, Zhuo Wang, Joe Leigh, et al.
ACS Photonics|April 28, 2022
Cell Cycle Stage Classification Using Phase Imaging with Computational SpecificityYuchen R He, Shenghua He, Mikhail E Kandel, et al.
Pageof 2