Ivan Diaz

According to our database, Ivan Diaz authored at least 5 papers between 2023 and 2025.

Collaborative distances:

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

2025

Learning from spatially inhomogenous data: resolution-adaptive convolutions for multiple sclerosis lesion segmentation.

Ivan Diaz, Florin Scherer, Yanik Berli, Roland Wiest, Helly Hammer, Robert Hoepner, Alejandro Leon Betancourt, Piotr Radojewski, Richard McKinley

CoRR, March, 2025

Exploring Robustness of Cortical Morphometry in the presence of white matter lesions, using Diffusion Models for Lesion Filling.

Vinzenz Uhr, Ivan Diaz, Christian Rummel, Richard McKinley

CoRR, March, 2025

2023

Functional Verification of a RISC-V Vector Accelerator.

Víctor Jiménez, Mario Rodríguez, Marc Domínguez, Josep Sans, Ivan Diaz, Luca Valente, Vito Luca Guglielmi, Josue V. Quiroga, R. Ignacio Genovese, Nehir Sönmez, Oscar Palomar, Miquel Moretó

IEEE Des. Test, June, 2023

An end-to-end SE(3)-equivariant segmentation network.

Ivan Diaz, Mario Geiger, Richard McKinley

CoRR, 2023

Estimating Causal Effects Identifiable from a Combination of Observations and Experiments.

Yonghan Jung, Ivan Diaz, Jin Tian, Elias Bareinboim

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023