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

Coral Genetic Structure in the Western Indian Ocean Mirrors Ocean Circulation and Thermal Stress History

西印度洋珊瑚的遗传结构反映了海洋环流和热胁迫历史

Guillaume, Annie S; Joost, Stéphane; Curpen, Sarvanen; Dumur Neelayya, Danishta; Harree-Somah, Luxmibye; Sadasing, Oocheetsing; Saponari, Luca; Dale, Charlotte; Barret, Léo; Andrews, Nina; Leckraz, Sanjeev Kumar; François, Ronnie; Seetapah, Vasisht; Munusami, Vinayaganidhi; Bacha Gian, Suraj; Jhangeer-Khan, Reshad; Mahoune, Terence; Chumun, Pramod Kumar; Poretti, Manuel; Berteaux-Lecellier, Véronique; Lecellier, Gael; Selmoni, Oliver

Correlation of Galectin Family Expression with Glioblastoma Progression and Survival

半乳糖凝集素家族表达与胶质母细胞瘤进展和生存率的相关性

Curpen, Peter; Ahmady, Farah; Carnie, Blaine M H; Anderson, Grace E C; Kannourakis, George; Sharma, Amit; Achuthan, Adrian A; Luwor, Rodney B

Validation of a Quantitative Ultrasound Texture Analysis Model for Early Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer: A Prospective Serial Imaging Study

定量超声纹理分析模型在乳腺癌新辅助化疗早期疗效预测中的验证:一项前瞻性连续影像学研究

Moore-Palhares, Daniel; Sannachi, Lakshmanan; Chan, Adrian Wai; Dasgupta, Archya; DiCenzo, Daniel; Gandhi, Sonal; Pezo, Rossanna; Eisen, Andrea; Warner, Ellen; Wright, Frances; Look Hong, Nicole; Sadeghi-Naini, Ali; Skarpathiotakis, Mia; Curpen, Belinda; Betel, Carrie; Kolios, Michael C; Trudeau, Maureen; Czarnota, Gregory J

A Priori Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer Using Deep Features from Pre-Treatment MRI and CT

利用治疗前MRI和CT的深度特征对乳腺癌新辅助化疗反应进行先验预测

Jang, Deok Hyun; Osapoetra, Laurentius O; Sannachi, Lakshmanan; Curpen, Belinda; Pejović-Milić, Ana; Czarnota, Gregory J

End-to-end CNN-based deep learning enhances breast lesion characterization using quantitative ultrasound (QUS) spectral parametric images

基于卷积神经网络的端到端深度学习增强了利用定量超声(QUS)光谱参数图像对乳腺病变进行表征的能力。

Osapoetra, Laurentius Oscar; Moslemi, Amir; Moore-Palhares, Daniel; Halstead, Schontal; Alberico, David; Hwang, Alexander; Sannachi, Lakshmanan; Curpen, Belinda; Czarnota, Gregory J

Validation of Quantitative Ultrasound and Texture Derivative Analyses-Based Model for Upfront Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer

基于定量超声和纹理导数分析的乳腺癌新辅助化疗疗效预测模型验证

Chan, Adrian Wai; Sannachi, Lakshmanan; Moore-Palhares, Daniel; Dasgupta, Archya; Gandhi, Sonal; Pezo, Rossanna; Eisen, Andrea; Warner, Ellen; Wright, Frances C; Hong, Nicole Look; Sadeghi-Naini, Ali; Skarpathiotakis, Mia; Curpen, Belinda; Betel, Carrie; Kolios, Michael C; Trudeau, Maureen; Czarnota, Gregory J

Phytoestrogens as Natural Anti-Aging Solutions for Enhanced Collagen Synthesis in Skin

植物雌激素作为天然抗衰老方案,可增强皮肤胶原蛋白合成

Amini, Nahid; Osterlund, Christina; Curpen, Jessen; Lafon-Kolb, Virginie; Richard, Thibaud; Visdal-Johnsen, Lene

Quantitative Volumetric Analysis Using 3D Ultrasound Tomography for Breast Mass Characterization

利用三维超声断层扫描进行乳腺肿块定量体积分析

Anzola, Maria L; Alberico, David; Yip, Joyce; Wiskin, James; Malik, Bilal; Dinu, Raluca; Curpen, Belinda; Oelze, Michael L; Czarnota, Gregory J

Impact of menopause and age on breast density and background parenchymal enhancement in dynamic contrast-enhanced magnetic resonance imaging

更年期和年龄对动态增强磁共振成像中乳腺密度和背景实质增强的影响

Kuling, Grey; Brooks, Jennifer D; Curpen, Belinda; Warner, Ellen; Martel, Anne L

Performance of ChatGPT-4o in Determining Radiology-Pathology Concordance and Management Recommendations Following Image-Guided Breast Biopsies

ChatGPT-4o 在影像引导下乳腺活检后放射病理一致性判断及管理建议中的应用性能

Lee, Albert; Curpen, Belinda; Alikhassi, Afsaneh