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Pourjavan Sayeh

🇡🇤 Cliniques Universitaires Saint-Luc
OpenAlex3 articles in GJC

3 articles in GJC

1.

Accurate prediction of glaucoma from colour fundus images with a convolutional neural network that relies on active and transfer learning.

Hemelings Ruben, Elen Bart, Barbosa-Breda João, Lemmens Sophie, Meire Maarten, Pourjavan Sayeh et al.

Acta OphthalmolJul 201945 citationsObservational Study

A deep learning model accurately detected glaucoma from fundus images (AUC 0.995, 98% sensitivity) using less data through active/transfer learning, offering efficient, explainable automated screening.

3.

Anterior segment imaging using optical coherence tomography and ultrasound biomicroscopy in secondary pigmentary glaucoma associated with in-the-bag intraocular lens.

Detry-Morel Michèle L, Van Acker Emmanuel, Pourjavan Sayeh, Levi Natácha, De Potter Patrick

J Cataract Refract SurgNov 200622 citationsCase Report

Anterior segment imaging confirmed an IOL-iris contact caused secondary pigmentary glaucoma after cataract surgery, highlighting the importance of imaging for diagnosing this rare complication.

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