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

5-methylcytosine and 5-hydroxymethylcytosine are synergistic biomarkers for early detection of colorectal cancer

5-甲基胞嘧啶和5-羟甲基胞嘧啶是结直肠癌早期检测的协同生物标志物。

Puddu, Fabio; Johansson, Annelie; Modat, Aurélie; Scotcher, Jamie; Sethi, Riccha; Yu, Shirong; Harding, Nick; Hill, Mark; Lleshi, Ermira; Lumby, Casper; Teyssandier, Jean; Wilson, Michael; Crawford, Robert; Charlesworth, Tom; Creed, Páidí; Balasubramanian, Shankar; Osborne, Robert J

Flanking DNA sequences determine DNA methylation maintenance in proliferation, cancer and aging

侧翼DNA序列决定了细胞增殖、癌症和衰老过程中DNA甲基化的维持。

López-Moyado, Isaac F; Hernández-Espinosa, Lot; Angel, J Carlos; Modat, Aurélie; Lleshi, Ermira; Crawford, Robert; Faulkner, Geoffrey J; Rao, Anjana

OGT prevents DNA demethylation and suppresses the expression of transposable elements in heterochromatin by restraining TET activity genome-wide

OGT通过全基因组抑制TET活性,防止DNA去甲基化并抑制异染色质中转座元件的表达。

Hugo Sepulveda # ,Xiang Li # ,Leo J Arteaga-Vazquez ,Isaac F López-Moyado ,Melina Brunelli ,Lot Hernández-Espinosa ,Xiaojing Yue ,J Carlos Angel ,Caitlin Brown ,Zhen Dong ,Natasha Jansz ,Fabio Puddu ,Aurélie Modat ,Jamie Scotcher ,Páidí Creed ,Patrick H Kennedy ,Cindy Manriquez-Rodriguez ,Samuel A Myers ,Robert Crawford ,Geoffrey J Faulkner ,Anjana Rao

Impact of hospital-specific domain adaptation on BERT-based models to classify neuroradiology reports

医院特定领域自适应对基于BERT的神经放射学报告分类模型的影响

Agarwal, Siddharth; Wood, David; Murray, Benjamin A K; Wei, Yiran; Busaidi, Ayisha Al; Kafiabadi, Sina; Guilhem, Emily; Lynch, Jeremy; Townend, Matthew; Mazumder, Asif; Barker, Gareth J; Cole, James H; Sasieni, Peter; Ourselin, Sebastien; Modat, Marc; Booth, Thomas C

Machine Learning Algorithms to Predict the Risk of Rupture of Intracranial Aneurysms: a Systematic Review

利用机器学习算法预测颅内动脉瘤破裂风险:系统评价

Daga, Karan; Agarwal, Siddharth; Moti, Zaeem; Lee, Matthew B K; Din, Munaib; Wood, David; Modat, Marc; Booth, Thomas C

Convolutional neural network using magnetic resonance brain imaging to predict outcome from tuberculosis meningitis

利用磁共振脑成像技术构建卷积神经网络预测结核性脑膜炎的预后

Dong, Trinh Huu Khanh; Canas, Liane S; Donovan, Joseph; Beasley, Daniel; Thuong-Thuong, Nguyen Thuy; Phu, Nguyen Hoan; Ha, Nguyen Thi; Ourselin, Sebastien; Razavi, Reza; Thwaites, Guy E; Modat, Marc

Symptoms before and after COVID-19: a population and case-control study using prospective data

COVID-19 前后的症状:一项基于前瞻性数据的群体和病例对照研究

Sudre, Carole H; Antonelli, Michela; Cheetham, Nathan J; Molteni, Erika; Canas, Liane S; Bowyer, Vicky; Murray, Ben; Rjoob, Khaled; Modat, Marc; Capdevila Pujol, Joan; Hu, Christina; Wolf, Jonathan; Spector, Tim D; Hammers, Alexander; Steves, Claire J; Ourselin, Sebastien; Duncan, Emma L

Glioblastoma and radiotherapy: A multicenter AI study for Survival Predictions from MRI (GRASP study)

胶质母细胞瘤与放射治疗:一项基于 MRI 的生存预测多中心人工智能研究(GRASP 研究)

Chelliah, Alysha; Wood, David A; Canas, Liane S; Shuaib, Haris; Currie, Stuart; Fatania, Kavi; Frood, Russell; Rowland-Hill, Chris; Thust, Stefanie; Wastling, Stephen J; Tenant, Sean; McBain, Catherine; Foweraker, Karen; Williams, Matthew; Wang, Qiquan; Roman, Andrei; Dragos, Carmen; MacDonald, Mark; Lau, Yue Hui; Linares, Christian A; Bassiouny, Ahmed; Luis, Aysha; Young, Thomas; Brock, Juliet; Chandy, Edward; Beaumont, Erica; Lam, Tai-Chung; Welsh, Liam; Lewis, Joanne; Mathew, Ryan; Kerfoot, Eric; Brown, Richard; Beasley, Daniel; Glendenning, Jennifer; Brazil, Lucy; Swampillai, Angela; Ashkan, Keyoumars; Ourselin, Sébastien; Modat, Marc; Booth, Thomas C

Lazy Resampling: Fast and information preserving preprocessing for deep learning

惰性重采样:一种快速且信息保留的深度学习预处理方法

Murray, Benjamin; Brown, Richard; Ma, Pengcheng; Kerfoot, Eric; Xu, Daguang; Feng, Andrew; Cardoso, Jorge; Ourselin, Sebastien; Modat, Marc

Radiogenomic biomarkers for immunotherapy in glioblastoma: A systematic review of magnetic resonance imaging studies

胶质母细胞瘤免疫治疗的放射基因组学生物标志物:磁共振成像研究的系统评价

Ghimire, Prajwal; Kinnersley, Ben; Karami, Golestan; Arumugam, Prabhu; Houlston, Richard; Ashkan, Keyoumars; Modat, Marc; Booth, Thomas C