2 citations · 2 across the 4 of their papers we have counts for
5 papers
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…
Learning to Select Like Humans: Explainable Active Learning for Medical Imaging
Ifrat Ikhtear Uddin, Longwei Wang, Xiao Qin +2
Medical image analysis requires substantial labeled data for model training, yet expert annotation is expensive and time-consuming. Active learning (AL) addresses this challenge by…
PUNCH: Physics-informed Uncertainty-aware Network for Coronary Hemodynamics
Sukirt Thakur, Marcus Roper, Yang Zhou +8
More than 10 million coronary angiograms are performed globally each year, providing a gold standard for detecting obstructive coronary artery disease. Yet, no obstructive lesions…
Multi-modal Liver Segmentation and Fibrosis Staging Using Real-world MRI Images
Yang Zhou, Kunhao Yuan, Ye Wei +1
Liver fibrosis represents the accumulation of excessive extracellular matrix caused by sustained hepatic injury. It disrupts normal lobular architecture and function, increasing th…
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…