Longitudinal Choroidal Development in Preterm Infants

Autor: Suzanne M. Michalak, MD, Shwetha Mangalesh, MBBS, Yineng Chen, MS, Liangbo L. Shen, MD, Vincent Tai, MS, Katrina Winter, BS, Neeru Sarin, MD, Gui-shuang Ying, PhD, Cynthia A. Toth, MD, Lejla Vajzovic, MD, Xi Chen, MD, PhD, Charles M. Cotten, MD, Mays Antioine El-Dairi, MD, Sina Farsiu, PhD, Sharon Freedman, MD, Hesham Gabr, MD, Sara Grace, MD, Kathryn E. Gustafson, PhD, Madja Hadziahmetovic, MD, Joseph Izatt, PhD, Ramiro Maldonado, MD, Suzanne Michalak, MD, Matthew O’Sullivan, MD, Sally Ong, MD, Miroslav Pajik, PhD, Carolyn Pizoli, MD, S. Grace Prakalapakorn, MD, Joan Roberts, MD, Alabi Rolake, MD, Cynthia Toth, MD, Nita Valikodath, MD, Christian Viehland, PhD, David Wallace, MD, Xiao Yi Zhou, MD, Michelle McCall, BA, MCAPM, Joanne Finkle, RN, JD, Neeru Sarin, MBBS, Alexandria Dandridge, Ryan Imperio, BS, William Raynor, BS, Du Tran-Viet, BS, Stephanie Chiu, PhD, Heena Divecha, MS, Katrina P. Winter, BS, Kimberly Fisher, PhD, FMP-BC, Lacey Andrews, BS, Melissa Babilonia-Rosa, PhD, Anne Baez Love, BS, Lucy DeStefano-Pearce, MA, Jessicka Hamilton, BA, Grace Jefferson, MS, Amanda Marion, BS, Isabella Pallotto, MPH, Marito Passero, BS, Caitlin Stone, MA, Michelle Sunico, BS, Caelan Eckard, BSE, Karthik Ganesan, BS, Xiao Tang, MS, Kira Wang, BA, Brittany Wong, BS, Mark Draelos, MD, PhD, Francesco LaRocca, BS, MS, PhD, Amit Narawane, BSE, Qitong Gao, MS, Isaac Bleicher, MD, Pujan Patel, BS, Jay Rathinavelu, BSE, Kai Seely, MD, MHS, Mason Seely, BS, Maureen G. Maguire, PhD, Gui-Shuang Ying, PhD, Brendan McGeehan, MS, Joshua Shimony, MD, PhD, Dimitrios Alexopoulos, MS, Sydney Kaplan, BS, Jeanette Kenley, BS, Kayla Hannon, BS, Brian P. Smith, MD, MPH, MHS, Michael O’Shea, MD, MPH, Subashri Kurgatt, PhD, Daniel X. Hammer, PhD, William Good, MD.

Publikováno v: Ophthalmology Science, Vol 4, Iss 1, Pp 100359- (2024)

Purpose: To characterize changes in subfoveal choroidal thickness in preterm infants from 30 to 60 weeks' postmenstrual age (PMA). Design: The prospective, observational Study of Eye Imaging in Preterm infantS (BabySTEPS) enrolled infants eligible fo

Externí odkaz: https://doaj.org/article/c16a06c64ae24db98852f5b0c35f88a4

The visual benefits of correcting longitudinal and transverse chromatic aberration

Autor: Austin Roorda, Steven A. Cholewiak, Swati Bhargava, Nadav H. Ivzan, Francesco LaRocca, Derek Nankivil, Martin S. Banks

Publikováno v: Journal of Vision. 23:3

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::af8032263ed357cb0fd24f81a4e2db15
https://doi.org/10.1167/jov.23.2.3

Super-resolution retinal imaging using optically reassigned scanning laser ophthalmoscopy

Autor: Theodore B. DuBose, Joseph A. Izatt, Francesco LaRocca, Sina Farsiu

Publikováno v: Nature Photonics. 13:257-262

Super-resolution optical microscopy techniques have enabled the discovery and visualization of numerous phenomena in physics, chemistry and biology(1–3). However, the highest resolution super-resolution techniques depend on nonlinear fluorescence p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::327f474d13a2c04c1c3762050a9a523a
https://doi.org/10.1038/s41566-019-0369-7

FIELD INVERSION AND MACHINE LEARNING STRATEGIES FOR IMPROVING RANS MODELLING IN TURBOMACHINERY

Autor: Francesco Larocca, Angelo Iollo, Andrea Ferrero, Eugenio Menegatti, Marianna Loffredo

The simulation of turbulent flows in turbomachinery is challenging because of the presence of complex phenomena like laminar-turbulent transition and separation which deeply affect the performances of the system. The use of scale-resolving simulation

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a05ca75e2bcb95f9dc69bcd6f52ba7a4
http://hdl.handle.net/11583/2959614

Field inversion for data-augmented RANS modelling in turbomachinery flows

Autor: Andrea Ferrero, Francesco Larocca, Angelo Iollo

Publikováno v: Computers and Fluids
Computers and Fluids, Elsevier, 2020, 201, pp.104474. ⟨10.1016/j.compfluid.2020.104474⟩
Computers and Fluids, 2020, 201, pp.104474. ⟨10.1016/j.compfluid.2020.104474⟩

Turbulence modelling in turbomachinery flows remains a challenge, especiallywhen transition and separation phenomena occur. Recently, several researchefforts have been devoted to the improvement of closure models for ReynoldsAveraged Navier-Stokes (R

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe8e00bcc7aa4ccf9e4ed59ea551d08a
https://hal.archives-ouvertes.fr/hal-03153111