mri

"“然而，我们发现机器学习技术可以分析来自扫描的大量数据，以识别细微变化，并准确预测阿尔茨海默病及相关的认知状态。”"

"当执行严格的受试者级别分割时，性能会大幅下降，测试准确率在60%到81%之间。"

"“Prima 的设计目标是成为医学图像解读的辅助，就像 ChatGPT 提供电子邮件草稿和建议一样。”"

"我们的模型最初是在高分辨率计算流体动力学（CFD）模拟及其下采样对应物上进行训练的。 然后，它在一个小的、协调的数据集上进行微调，该数据集包含配对的4D Flow MRI和CFD样本。"

"集成模型在区分ACAM-J与对照条件下实现了66.82%（p < 0.05）的准确率。"

"该模型以高达 97.5% 的准确度识别神经系统疾病，并且还能够评估患者需要医疗护理的紧急程度。"

"“我不断地发现自己正在思考我们的处境。世界正处于危险之中。这不仅仅来自Al或生物武器，而是来自此刻正在展开的一系列相互关联的危机，”他写道。"

"Our estimator can be trained without computing the autocovariance kernels and it can be parallelized to provide the estimates much faster than existing approaches."

"The article's source is ArXiv, indicating a pre-print research publication."

"The study focuses on using Diffusion MRI data for ischemic stroke lesion segmentation."

"Cross-population white matter atlas creation for concurrent mapping of brain connections in neonates and adults with Diffusion MRI Tractography"

"The research focuses on robust breast cancer segmentation in multi-center DCE-MRI."

"The research is based on a publication on ArXiv."

"brat is a method for Brain MRI analysis."

"The article presents results from the MICCAI 2024 challenge."

"The study focuses on self-supervised learning for improving MRI resolution."

"The research focuses on unsupervised parallel MRI reconstruction."

"Fetpype is an open-source pipeline."

"The research focuses on using Physics-Informed Diffusion Models for MRI."

"The paper is available on ArXiv."

"The study focuses on deep learning in the context of MRI analysis."

"The article focuses on MRI-based multiclass (4-class) Alzheimer's Disease Classification."

"The research focuses on classifying MGMT methylation in Glioblastoma patients."

"The research focuses on error bound analysis."

"KLO-Net is a dynamic K-NN Attention U-Net with CSP Encoder for Efficient Prostate Gland Segmentation from MRI."

"The study compares different segmentation algorithms."

"PathCo-LatticE: Pathology-Constrained Lattice-Of Experts Framework for Fully-supervised Few-Shot Cardiac MRI Segmentation"

"The article describes the use of DINOv3 for T1-to-BOLD generation."

"The study compares baseline and Day-1 diffusion MRI using multimodal deep embeddings."