← Search

Anjany Sekuboyina

3 accepted papers

2024

GenerateCT: Text-Conditional Generation of 3D Chest CT Volumes

ECCV 2024poster

"Text-conditional medical image generation is vital for radiology, augmenting small datasets, preserving data privacy, and enabling patient-specific modeling. However, its applications in 3D medical imaging, such as CT and MRI, which are crucial for critical care, remain unexplored. In this paper, w…

2021

Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience

NeurIPS 2021poster

Biological neural networks define the brain function and intelligence of humans and other mammals, and form ultra-large, spatial, structured graphs. Their neuronal organization is closely interconnected with the spatial organization of the brain's microvasculature, which supplies oxygen to the neuro…

Cited by 28SourceScholar
2021

clDice - A Novel Topology-Preserving Loss Function for Tubular Structure Segmentation

CVPR 2021poster

Accurate segmentation of tubular, network-like structures, such as vessels, neurons, or roads, is relevant to many fields of research. For such structures, the topology is their most important characteristic; particularly preserving connectedness: in the case of vascular networks, missing a connecte…

Cited by 327PDFcodeScholar