日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Breast density in MRI: an AI-based quantification and relationship to assessment in mammography

磁共振成像中的乳腺密度:基于人工智能的量化及其与乳腺X线摄影评估的关系

Chen, Yaqian; Li, Lin; Gu, Hanxue; Dong, Haoyu; Nguyen, Derek L; Kirk, Allan D; Mazurowski, Maciej A; Hwang, E Shelley

The Duke University Cervical Spine MRI Segmentation Dataset (CSpineSeg)

杜克大学颈椎MRI分割数据集(CSpineSeg)

Zhou, Longfei; Wiggins, Walter; Zhang, Jikai; Colglazier, Roy; Willhite, Jay; Dixon, Austin; Malinzak, Michael; Gu, Hanxue; Mazurowski, Maciej A; Calabrese, Evan

Development and Evaluation of Automated Artificial Intelligence-Based Brain Tumor Response Assessment in Patients with Glioblastoma

开发和评估基于人工智能的自动化脑肿瘤反应评估方法在胶质母细胞瘤患者中的应用

Zhang, Jikai; LaBella, Dominic; Zhang, Dylan; Houk, Jessica L; Rudie, Jeffrey D; Zou, Haotian; Warman, Pranav; Mazurowski, Maciej A; Calabrese, Evan

How to Efficiently Annotate Images for Best-Performing Deep Learning-Based Segmentation Models: An Empirical Study with Weak and Noisy Annotations and Segment Anything Model

如何高效标注图像以获得最佳的基于深度学习的分割模型性能:一项针对弱标注和噪声标注以及 Segment Anything 模型的实证研究

Zhang, Yixin; Zhao, Shen; Gu, Hanxue; Mazurowski, Maciej A

A publicly available deep learning model and dataset for segmentation of breast, fibroglandular tissue, and vessels in breast MRI

公开可用的深度学习模型和数据集,用于分割乳腺磁共振成像中的乳腺、纤维腺体组织和血管。

Lew, Christopher O; Harouni, Majid; Kirksey, Ella R; Kang, Elianne J; Dong, Haoyu; Gu, Hanxue; Grimm, Lars J; Walsh, Ruth; Lowell, Dorothy A; Mazurowski, Maciej A

MRI-based Deep Learning Assessment of Amyloid, Tau, and Neurodegeneration Biomarker Status across the Alzheimer Disease Spectrum

基于磁共振成像的深度学习评估阿尔茨海默病谱系中淀粉样蛋白、Tau蛋白和神经退行性生物标志物的状态

Lew, Christopher O; Zhou, Longfei; Mazurowski, Maciej A; Doraiswamy, P Murali; Petrella, Jeffrey R

Duke Liver Dataset: A Publicly Available Liver MRI Dataset with Liver Segmentation Masks and Series Labels

杜克肝脏数据集:一个公开可用的肝脏MRI数据集,包含肝脏分割掩模和序列标签

Macdonald, Jacob A; Zhu, Zhe; Konkel, Brandon; Mazurowski, Maciej A; Wiggins, Walter F; Bashir, Mustafa R

Unsupervised anomaly localization in high-resolution breast scans using deep pluralistic image completion

利用深度多元图像补全技术对高分辨率乳腺扫描进行无监督异常定位

Konz, Nicholas; Dong, Haoyu; Mazurowski, Maciej A

Segment anything model for medical image analysis: An experimental study

用于医学图像分析的任意分割模型:一项实验研究

Mazurowski, Maciej A; Dong, Haoyu; Gu, Hanxue; Yang, Jichen; Konz, Nicholas; Zhang, Yixin

A Competition, Benchmark, Code, and Data for Using Artificial Intelligence to Detect Lesions in Digital Breast Tomosynthesis

利用人工智能检测数字乳腺断层合成图像中病变的竞赛、基准测试、代码和数据

Konz, Nicholas; Buda, Mateusz; Gu, Hanxue; Saha, Ashirbani; Yang, Jichen; Chledowski, Jakub; Park, Jungkyu; Witowski, Jan; Geras, Krzysztof J; Shoshan, Yoel; Gilboa-Solomon, Flora; Khapun, Daniel; Ratner, Vadim; Barkan, Ella; Ozery-Flato, Michal; Martí, Robert; Omigbodun, Akinyinka; Marasinou, Chrysostomos; Nakhaei, Noor; Hsu, William; Sahu, Pranjal; Hossain, Md Belayat; Lee, Juhun; Santos, Carlos; Przelaskowski, Artur; Kalpathy-Cramer, Jayashree; Bearce, Benjamin; Cha, Kenny; Farahani, Keyvan; Petrick, Nicholas; Hadjiiski, Lubomir; Drukker, Karen; Armato, Samuel G 3rd; Mazurowski, Maciej A