Adnan Tufail

According to our database, Adnan Tufail authored at least 4 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

A deep learning framework for the detection and quantification of drusen and reticular pseudodrusen on optical coherence tomography.

Roy Schwartz, Hagar Khalid, Sandra Liakopoulos, Yanling Ouyang, Coen de Vente, Cristina González-Gonzalo, Aaron Y. Lee, Robyn H. Guymer, Emily Y. Chew, Catherine Egan, Zhichao Wu, Himeesh Kumar, Joseph Farrington, Clara I. Sánchez, Adnan Tufail

CoRR, 2022

2021

Unsupervised cross domain learning with applications to 7 layer segmentation of OCTs.

Yue Wu, Abraham Olvera Barrios, Ryan Yanagihara, Irene Leung, Marian Blazes, Adnan Tufail, Aaron Y. Lee

CoRR, 2021

2018

Generating retinal flow maps from structural optical coherence tomography with artificial intelligence.

Cecilia S. Lee, Ariel J. Tyring, Yue Wu, Sa Xiao, Ariel S. Rokem, Nicolaas P. Deruyter, Qinqin Zhang, Adnan Tufail, Ruikang K. Wang, Aaron Y. Lee

CoRR, 2018

Feasibility Study of Subfoveal Choroidal Thickness Changes in Spectral-Domain Optical Coherence Tomography Measurements of Macular Telangiectasia Type 2.

Tiziano Ronchetti, Peter Maloca, Emanuel Ramos de Carvalho, Tjebo F. C. Heeren, Konstantinos Balaskas, Adnan Tufail, Catherine Egan, Mali Okada, Selim Orgül, Christoph Jud, Philippe C. Cattin

Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018