Saad Shaikh

According to our database, Saad Shaikh authored at least 4 papers between 2017 and 2023.

Collaborative distances:

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

2023

The Rise of Creative Machines: Exploring the Impact of Generative AI.

Saad Shaikh, Rajat bendre, Sakshi Mhaske

CoRR, 2023

2020

Analysis of Video Retinal Angiography With Deep Learning and Eulerian Magnification.

Sumit Laha, Rodney LaLonde, Austin E. Carmack, Hassan Foroosh, John C. Olson, Saad Shaikh, Ulas Bagci

Frontiers Comput. Sci., 2020

2019

RETOUCH: The Retinal OCT Fluid Detection and Segmentation Benchmark and Challenge.

Hrvoje Bogunovic, Freerk G. Venhuizen, Sophie Klimscha, Stefanos Apostolopoulos, Alireza Bab-Hadiashar, Ulas Bagci, Mirza Faisal Beg, Loza Bekalo, Qiang Chen, Carlos Ciller, Karthik Gopinath, Amirali K. Gostar, Kiwan Jeon, Zexuan Ji, Sung Ho Kang, Dara D. Koozekanani, Donghuan Lu, Dustin Morley, Keshab K. Parhi, Hyoung Suk Park, Abdolreza Rashno, Marinko Sarunic, Saad Shaikh, Jayanthi Sivaswamy, Ruwan B. Tennakoon, Shivin Yadav, Sandro De Zanet, Sebastian M. Waldstein, Bianca S. Gerendas, Caroline Klaver, Clara I. Sánchez, Ursula Schmidt-Erfurth

IEEE Trans. Medical Imaging, 2019

2017

Simultaneous Detection and Quantification of Retinal Fluid with Deep Learning.

Dustin Morley, Hassan Foroosh, Saad Shaikh, Ulas Bagci

CoRR, 2017