Accurate estimation of core (irreversibly damaged tissue) and penumbra (salvageable tissue) volumes is essential for ischemic stroke treatment decisions. Perfusion CT, the …
In medical image synthesis, the development of robust and reliable baseline methods is crucial due to the complexity and variability of existing techniques. Despite advances with …
This study presents Medical Vision Generalist (MVG), the first foundation model capable of handling various medical imaging tasks--such as cross-modal synthesis, image …
Generative Artificial Intelligence (GenAI) is a field of AI that creates new data samples from existing ones. It utilizing deep learning to overcome the scarcity and regulatory constraints of …
Chest radiography (CXR) is one of the most used medical imaging modalities. Nevertheless, the interpretation of CXR images is time-consuming and subject to variability. As such …
This paper is a contribution to the" BraTS 2023 Local Synthesis of Healthy Brain Tissue via Inpainting Challenge". The task of this challenge is to transform tumor tissue into healthy …
This paper presents the second-placed solution for task 8 and the participation solution for task 7 of BraTS 2024. The adoption of automated brain analysis algorithms to support …
R Zhu, X Zhang, H Pang, C Xu, C Ye - arXiv preprint arXiv:2402.01509, 2024 - arxiv.org
Synthesizing healthy brain scans from diseased brain scans offers a potential solution to address the limitations of general-purpose algorithms, such as tissue segmentation and …
Brain metastases are secondary brain tumors that originate from cancers in other parts of the body. They are a common and serious complication of cancer, affecting about 10%-30% of …