most citedGenerative Adversarial Networks for Brain Images Synthesis: A Review

6 citations · 7 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2023

The TopCoW Challenge -- Topology-Aware Circle of Willis Segmentation for CT and MR Angiography

Kaiyuan Yang, Fabio Musio, Yihui Ma +112

The Circle of Willis (CoW) is an important network of arteries connecting major circulations of the brain. Its vascular architecture is believed to influence the risk, severity, an…

q-bio.NC2023

Artificial Intelligence in Fetal Resting-State Functional MRI Brain Segmentation: A Comparative Analysis of 3D UNet, VNet, and HighRes-Net Models

Farzan Vahedifard, Xuchu Liu, Mehmet Kocak +7

Introduction: Fetal resting-state functional magnetic resonance imaging (rs-fMRI) is a rapidly evolving field that provides valuable insight into brain development before birth. Ac…

cs.CV20231 cited

nnDetection for Intracranial Aneurysms Detection and Localization

Maysam Orouskhani, Negar Firoozeh, Shaojun Xia +2

Intracranial aneurysms are a commonly occurring and life-threatening condition, affecting approximately 3.2% of the general population. Consequently, detecting these aneurysms play…

eess.IV2023

Evolving Tsukamoto Neuro Fuzzy Model for Multiclass Covid 19 Classification with Chest X Ray Images

Marziyeh Rezaei, Sevda Molani, Negar Firoozeh +3

Du e to rapid population growth and the need to use artificial intelligence to make quick decisions, developing a machine learning-based disease detection model and abnormality ide…

eess.IV20236 cited

Generative Adversarial Networks for Brain Images Synthesis: A Review

Firoozeh Shomal Zadeh, Sevda Molani, Maysam Orouskhani +3

In medical imaging, image synthesis is the estimation process of one image (sequence, modality) from another image (sequence, modality). Since images with different modalities prov…