activity
20232026
most citedDeep Learning for Vascular Segmentation and Applications in Phase Contrast Tomography Imaging

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

eess.IV2026

LoRCA: LoRA Cycle Adaptation for Histology to HiP-CT Translation with DINOv3

Yang Zhou, Edoardo Occhipinti, Banboye Kidzeru Elvis +11

Hierarchical Phase-Contrast Tomography (HiP-CT) is a synchrotron based X-ray imaging technique that enables non-destructive, volumetric imaging of intact organs with multi-resoluti…

physics.optics2026

Fast Eikonal Phase Retrieval for High-Throughput Beamlines

Alessandro Mirone, Theresa Urban, Joseph Brunet +3

We introduce a fast Eikonal Phase Retrieval (EPR) formulation that accelerates eikonal phase retrieval by more than two orders of magnitude while retaining controlled accuracy. The…

cs.CE2025

Cardiotensor: A Python Library for Orientation Analysis and Tractography in 3D Cardiac Imaging

Joseph Brunet, Lisa Chestnutt, Matthieu Chourrout +4

Understanding the architecture of the human heart requires analysis of its microstructural organization across scales. With the advent of high-resolution imaging techniques such as…

eess.IV2023★ 2 cited

Deep Learning for Vascular Segmentation and Applications in Phase Contrast Tomography Imaging

Ekin Yagis, Shahab Aslani, Yashvardhan Jain +10

Automated blood vessel segmentation is vital for biomedical imaging, as vessel changes indicate many pathologies. Still, precise segmentation is difficult due to the complexity of…

physics.med-ph2023

Eikonal phase retrieval: Unleashing the fourth generation sources potential for enhanced propagation based tomography on biological samples

Alessandro Mirone, Joseph Brunet, Leandre Admans +9

The evolution of synchrotrons towards higher brilliance beams has increased the possible sample-to-detector propagation distances for which the source confusion circle does not lea…