Boote Craig

Pham Tan Hung, Devalla Sripad Krishna, Ang Aloysius, Soh Zhi-Da, Thiery Alexandre H, Boote Craig et al.

Deep learning accurately identified anterior segment structures and quantified key measurements from OCT images, matching expert performance for glaucoma diagnosis and management, offering rapid, reliable automation.

Tun Tin A, Wang Xiaofei, Baskaran Mani, Nongpiur Monisha Esther, Tham Yih Chung, Nguyen Duc Quang et al.

This study found lamina cribrosa depth varies by age, gender, race, and ocular factors in healthy Asians. This normative data aids more accurate glaucoma assessment via OCT.

Cheong Haris, Devalla Sripad Krishna, Pham Tan Hung, Zhang Liang, Tun Tin Aung, Wang Xiaofei et al.

DeshadowGAN, a deep learning tool, effectively removed blood vessel shadows from ONH OCT images, improving image quality. This enhances OCT analysis, potentially aiding diagnosis and prognosis in ocular pathologies.

Chuangsuwanich Thanadet, Hung Pham Tan, Wang Xiaofei, Liang Leo Hwa, Schmetterer Leopold, Boote Craig et al.

This study modeled lamina cribrosa oxygen levels, finding LC radius and perfusion pressure are key. Higher IOP slightly lowers oxygen, suggesting biomechanical and vascular factors contribute to glaucoma's optic nerve damage.

Jin Yuejiao, Wang Xiaofei, Irnadiastputri Sylvi Febriana Rachmawati, Mohan Rosmin Elsa, Aung Tin, Perera Shamira A et al.

A model showed increasing heart rate decreased ocular pulse and ONH deformation, while stiffening the lamina cribrosa. This suggests heart rate impacts ONH biomechanics, relevant for glaucoma pathology.

Zhang Liang, Beotra Meghna R, Baskaran Mani, Tun Tin A, Wang Xiaofei, Perera Shamira A et al.

This study measured optic nerve head tissue stiffness in vivo, finding healthy prelamina significantly softer than in ocular hypertension, suggesting biomechanics may aid glaucoma management.

Devalla Sripad Krishna, Liang Zhang, Pham Tan Hung, Boote Craig, Strouthidis Nicholas G, Thiery Alexandre H et al.

This review explored AI's role in glaucoma diagnosis and prognosis. It found AI offers promising tools to improve early detection and predict disease progression, potentially aiding clinical management.

Boote Craig, Sigal Ian A, Grytz Rafael, Hua Yi, Nguyen Thao D, Girard Michael J A

This review highlights advances in understanding scleral structure and biomechanics, showing how age and diseases like glaucoma alter it. This knowledge is crucial for developing new therapies for vision disorders.

Pijanka Jacek K, Coudrillier Baptiste, Ziegler Kimberly, Sorensen Thomas, Meek Keith M, Nguyen Thao D et al.

This study mapped collagen fiber orientation in human sclera, finding reduced peripapillary fiber anisotropy in glaucoma eyes. This suggests structural differences may impact glaucoma susceptibility or progression.

Boote Craig, Elsheikh Ahmed, Kassem Wael, Kamma-Lorger Christina S, Hocking Paul M, White Nick et al.

This study found that abnormal corneal collagen orientation in diseased chicken eyes increased stiffness, highlighting how structural changes impact corneal biomechanics and its response to intraocular pressure.