Lucas J. Deden-Binder

According to our database, Lucas J. Deden-Binder authored at least 4 papers between 2024 and 2026.

Collaborative distances:

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

2026

Improving Neuropathological Reconstruction Fidelity via AI Slice Imputation.

Marina Crespo Aguirre, Jonathan Williams Ramirez, Dina Zemlyanker, Xiaoling Hu, Lucas J. Deden-Binder, Rogeny Herisse, Mark Montine, Theresa R. Connors, Christopher Mount, Christine L. MacDonald, C. Dirk Keene, Caitlin Latimer, Derek H. Oakley, Bradley T. Hyman, Ana Lawry Aguila, Juan Eugenio Iglesias

CoRR, February, 2026

2025

Automated Segmentation of Coronal Brain Tissue Slabs for 3D Neuropathology.

Jonathan Williams Ramirez, Dina Zemlyanker, Lucas J. Deden-Binder, Rogeny Herisse, Erendira Garcia Pallares, Karthik Gopinath, Harshvardhan Gazula, Christopher Mount, Liana Kozanno, Michael S. Marshall, Theresa R. Connors, Matthew P. Frosch, Mark Montine, Derek H. Oakley, Christine L. Mac Donald, C. Dirk Keene, Bradley T. Hyman, Juan Eugenio Iglesias

CoRR, August, 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 H. Oakley, Bradley T. Hyman, Sean I. Young, Juan Eugenio Iglesias

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