Jeff L. Rhoades

According to our database, Jeff L. Rhoades authored at least 3 papers between 2023 and 2024.

Collaborative distances:

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

2024

DaCapo: a modular deep learning framework for scalable 3D image segmentation.

William Patton, Jeff L. Rhoades, Marwan Zouinkhi, David G. Ackerman, Caroline Malin-Mayor, Diane Adjavon, Larissa Heinrich, Davis Bennett, Yurii Zubov, CellMap Project Team, Aubrey V. Weigel, Jan Funke

CoRR, 2024

Hot-Distance: Combining One-Hot and Signed Distance Embeddings for Segmentation.

Marwan Zouinkhi, Jeff L. Rhoades, Aubrey V. Weigel

CoRR, 2024

2023

Unpaired Image Enhancement for Neurite Segmentation in x-ray Tomography.

Jeff L. Rhoades, Arlo Sheridan, Mukul Narwani, Brian Reicher, Mark Larson, Shuhan Xie, Tri Nguyen, Aaron T. Kuan, Alexandra Pacureanu, Wei-Chung Allen Lee, Jan Funke

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023