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Kevin de Haan

Showing results (1-10 of 21) with videos related to

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BME Frontiers|October 18, 2023
Emerging Advances to Transform Histopathology Using Virtual StainingYair Rivenson, Kevin de Haan, W Dean Wallace, et al.
Scientific Reports|August 21, 2019
Resolution enhancement in scanning electron microscopy using deep learningKevin de Haan, Zachary S Ballard, Yair Rivenson, et al.
Light, Science & Applications|May 16, 2020
Digital synthesis of histological stains using micro-structured and multiplexed virtual staining of label-free tissueYijie Zhang, Kevin de Haan, Yair Rivenson, et al.
Light, Science & Applications|February 8, 2019
PhaseStain: the digital staining of label-free quantitative phase microscopy images using deep learningYair Rivenson, Tairan Liu, Zhensong Wei, et al.
The Science of the Total Environment|August 28, 2021
Assessment of effective LAI and water use efficiency using Eddy Covariance dataMazda Kompanizare, Richard M Petrone, Merrin L Macrae, et al.
Lab on a Chip|August 3, 2019
Early detection of E. coli and total coliform using an automated, colorimetric and fluorometric fiber optics-based deviceSabiha Tok, Kevin de Haan, Derek Tseng, et al.
Light, Science & Applications|March 12, 2019
Bright-field holography: cross-modality deep learning enables snapshot 3D imaging with bright-field contrast using a single hologramYichen Wu, Yilin Luo, Gunvant Chaudhari, et al.
Journal of Biophotonics|July 17, 2019
Deep learning-based color holographic microscopyTairan Liu, Zhensong Wei, Yair Rivenson, et al.
Scientific Reports|March 10, 2019
Deep learning-based super-resolution in coherent imaging systemsTairan Liu, Kevin de Haan, Yair Rivenson, et al.
Magnetic Resonance in Medicine|October 6, 2021
Automatic segmentation of peripheral arteries and veins in ferumoxytol-enhanced MR angiographyVahid Ghodrati, Yair Rivenson, Ashley Prosper, et al.
Pageof 3

Showing results (1-10 of 21) with videos related to

Sort By:
Pageof 3
BME Frontiers|October 18, 2023
Emerging Advances to Transform Histopathology Using Virtual StainingYair Rivenson, Kevin de Haan, W Dean Wallace, et al.
Scientific Reports|August 21, 2019
Resolution enhancement in scanning electron microscopy using deep learningKevin de Haan, Zachary S Ballard, Yair Rivenson, et al.
Light, Science & Applications|May 16, 2020
Digital synthesis of histological stains using micro-structured and multiplexed virtual staining of label-free tissueYijie Zhang, Kevin de Haan, Yair Rivenson, et al.
Light, Science & Applications|February 8, 2019
PhaseStain: the digital staining of label-free quantitative phase microscopy images using deep learningYair Rivenson, Tairan Liu, Zhensong Wei, et al.
The Science of the Total Environment|August 28, 2021
Assessment of effective LAI and water use efficiency using Eddy Covariance dataMazda Kompanizare, Richard M Petrone, Merrin L Macrae, et al.
Lab on a Chip|August 3, 2019
Early detection of E. coli and total coliform using an automated, colorimetric and fluorometric fiber optics-based deviceSabiha Tok, Kevin de Haan, Derek Tseng, et al.
Light, Science & Applications|March 12, 2019
Bright-field holography: cross-modality deep learning enables snapshot 3D imaging with bright-field contrast using a single hologramYichen Wu, Yilin Luo, Gunvant Chaudhari, et al.
Journal of Biophotonics|July 17, 2019
Deep learning-based color holographic microscopyTairan Liu, Zhensong Wei, Yair Rivenson, et al.
Scientific Reports|March 10, 2019
Deep learning-based super-resolution in coherent imaging systemsTairan Liu, Kevin de Haan, Yair Rivenson, et al.
Magnetic Resonance in Medicine|October 6, 2021
Automatic segmentation of peripheral arteries and veins in ferumoxytol-enhanced MR angiographyVahid Ghodrati, Yair Rivenson, Ashley Prosper, et al.
Pageof 3