Ikuti
Mark Hannel II
Mark Hannel II
Machine Learning Scientist
Email yang diverifikasi di nyu.edu
Judul
Dikutip oleh
Dikutip oleh
Tahun
Machine-learning approach to holographic particle characterization
A Yevick, M Hannel, DG Grier
Optics express 22 (22), 26884-26890, 2014
902014
Machine-learning techniques for fast and accurate feature localization in holograms of colloidal particles
MD Hannel, A Abdulali, M O’Brien, DG Grier
Optics express 26 (12), 15221-15231, 2018
842018
Simulation of astronomical images from optical survey telescopes using a comprehensive photon Monte Carlo approach
JR Peterson, JG Jernigan, SM Kahn, AP Rasmussen, E Peng, Z Ahmad, ...
The Astrophysical Journal Supplement Series 218 (1), 14, 2015
652015
Atmospheric point spread function interpolation for weak lensing in short exposure imaging data
C Chang, PJ Marshall, JG Jernigan, JR Peterson, SM Kahn, SF Gull, ...
Monthly Notices of the Royal Astronomical Society 427 (3), 2572-2587, 2012
332012
Spurious shear in weak lensing with the Large Synoptic Survey Telescope
C Chang, SM Kahn, JG Jernigan, JR Peterson, Y AlSayyad, Z Ahmad, ...
Monthly Notices of the Royal Astronomical Society 428 (3), 2695-2713, 2013
322013
Holographic characterization of imperfect colloidal spheres
M Hannel, C Middleton, DG Grier
Applied Physics Letters 107 (14), 2015
302015
Effect of measurement errors on predicted cosmological constraints from shear peak statistics with Large Synoptic Survey Telescope
D Bard, JM Kratochvil, C Chang, M May, SM Kahn, Y AlSayyad, Z Ahmad, ...
The Astrophysical Journal 774 (1), 49, 2013
272013
Optimizing the synthesis of monodisperse colloidal spheres using holographic particle characterization
C Middleton, MD Hannel, AD Hollingsworth, DJ Pine, DG Grier
Langmuir 35 (20), 6602-6609, 2019
242019
Microchemomechanical devices using DNA hybridization
G Zhu, M Hannel, R Sha, F Zhou, MY Ben Zion, Y Zhang, K Bishop, ...
Proceedings of the National Academy of Sciences 118 (21), e2023508118, 2021
202021
Colloidal fingerprints for soft materials using total holographic characterization
DG Grier, DB Ruffner, A Yevick, M Hannel
US Patent 11,085,864, 2021
102021
Machine-learning approach to holographic particle characterization
DG Grier, A Yevick, M Hannel
US Patent 10,222,315, 2019
42019
A Framework for End to End Simulations of the Large Synoptic Survey Telescope
RR Gibson, Z Ahmad, J Bankert, D Bard, AJ Connolly, C Chang, ...
Astronomical Data Analysis Software and Systems XX 442, 329, 2011
22011
Machine-learning techniques for fast and accurate holographic particle tracking
MD Hannel, A Abdulali, M O'Brien, DG Grier
arXiv: 1804.06885, 2018
12018
Effect of Measurement Errors on Predicted Cosmological Constraints from Shear Peak Statistics with LSST
D Bard, JM Kratochvil, C Chang, M May, SM Kahn, Y AlSayyad, Z Ahmad, ...
arXiv preprint arXiv:1301.0830, 2013
12013
Spurious Shear in Weak Lensing with LSST
C Chang, SM Kahn, JG Jernigan, JR Peterson, Y AlSayyad, Z Ahmad, ...
arXiv preprint arXiv:1206.1378, 2012
12012
Colloidal fingerprints for soft materials using total holographic characterization
DG Grier, DB Ruffner, A Yevick, M Hannel
US Patent 11,977,015, 2024
2024
AI-powered automated landscape monitoring at global scale
M Hannel, E Glennie, B McAndrew, SP Brumby, AE Larson, M Mathis, ...
Applications of Machine Learning 2023 12675, 59-67, 2023
2023
Mapping the World at 10 m: A Novel Deep-Learning Land Use Land Cover Product and Beyond
D Wright, S Brumby, S Breyer, A Fitzgibbon, D Pisut, Z Statman-Weil, ...
EGU General Assembly Conference Abstracts, EGU22-9012, 2022
2022
Fast feature identification for holographic tracking and characterization of colloidal particles
A Yevick, M Hannel, DG Grier, BJ Krishnatreya
US Patent 10,983,041, 2021
2021
End-to-End Characterization of Colloidal Particles through Holographic Microscopy and Deep Convolutional Neural Networks
L Altman, D Grier, M Hannel
APS March Meeting Abstracts 2019, B55. 011, 2019
2019
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