Dina Zemlyanker

According to our database, Dina Zemlyanker authored at least 4 papers between 2024 and 2025.

Collaborative distances:

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

2025

Scalable Segmentation for Ultra-High-Resolution Brain MR Images.

Xiaoling Hu, Peirong Liu, Dina Zemlyanker, Jonathan Williams Ramirez, Oula Puonti, Juan Eugenio Iglesias

CoRR, May, 2025

From Low Field to High Value: Robust Cortical Mapping from Low-Field MRI.

Karthik Gopinath, Annabel Sorby-Adams, Jonathan Williams Ramirez, Dina Zemlyanker, Jennifer Guo, David Hunt, Christine L. Mac Donald, C. Dirk Keene, Timothy S. Coalson, Matthew F. Glasser, David C. Van Essen, Matthew S. Rosen, Oula Puonti, W. Taylor Kimberly, Juan Eugenio Iglesias

CoRR, May, 2025

Reference-Free 3D Reconstruction of Brain Dissection Photographs with Machine Learning.

Lin Tian, Sean I. Young, Jonathan Williams Ramirez, Dina Zemlyanker, Lucas J. Deden-Binder, Rogeny Herisse, Theresa R. Connors, Derek H. Oakley, Bradley T. Hyman, Oula Puonti, Matthew S. Rosen, Juan Eugenio Iglesias

CoRR, March, 2025

2024

Pseudo-rendering for Resolution and Topology-Invariant Cortical Parcellation.

Pablo Blasco Fernandez, Karthik Gopinath, John Williams-Ramirez, Rogeny Herisse, Lucas J. Deden-Binder, Dina Zemlyanker, Theressa Connors, Liana Kozanno, Derek Oakley, Bradley T. Hyman, Sean I. Young, Juan Eugenio Iglesias

Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024