George R. Nahass

According to our database, George R. Nahass authored at least 5 papers between 2024 and 2025.

Collaborative distances:

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

2025

Prediction of Lung Metastasis from Hepatocellular Carcinoma using the SEER Database.

Jeff J. H. Kim, George R. Nahass, Yang Dai, Theja Tulabandhula

CoRR, January, 2025

Normscan: open-source Python software to create average models from CT scans.

George R. Nahass, Mitchell A. Marques, Naji Bou Zeid, Linping Zhao, Lee W. T. Alkureishi

Int. J. Comput. Assist. Radiol. Surg., January, 2025

2024

Trends, Challenges, and Future Directions in Deep Learning for Glaucoma: A Systematic Review.

Mahtab Faraji, Homa Rashidisabet, George R. Nahass, RV Paul Chan, Thasarat S. Vajaranant, Darvin Yi

CoRR, 2024

Open-Source Periorbital Segmentation Dataset for Ophthalmic Applications.

George R. Nahass, Emma Koehler, Nicholas Tomaras, Danny Lopez, Madison Cheung, Alexander Palacios, Jeffery Peterson, Sacha Hubschman, Kelsey Green, Chad A. Purnell, Pete Setabutr, Ann Q. Tran, Darvin Yi

CoRR, 2024

State-of-the-Art Periorbital Distance Prediction and Disease Classification Using Periorbital Features.

George R. Nahass, Ghasem Yazdanpanah, Madison Cheung, Alex Palacios, Jeffery Peterson, Kevin Heinze, Sasha Hubschman, Chad A. Purnell, Pete Setabutr, Ann Q. Tran, Darvin Yi

CoRR, 2024