Multimodal deep learning for Alzheimer’s disease dementia assessment论文
Nature Communications2022引用: 350
Detection of anaemia from retinal fundus images via deeplearning论文
Nature Biomedical Engineering2019引用: 223
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge论文
IEEE Transactions on Medical Imaging2019引用: 301
Reflection on modern methods: Revisiting the area under the ROC Curve论文
International Journal of Epidemiology2019引用: 327
Predicting Alzheimer’s disease progression using multi-modal deep learning approach论文
Scientific Reports2019引用: 398
Prediction of Tissue Outcome and Assessment of Treatment Effect in Acute Ischemic Stroke Using Deep Learning论文
Stroke2018引用: 235
Advanced machine learning in action: identification of intracranial hemorrhage on computed tomography scans of the head with clinical workflow integration论文
npj Digital Medicine2018引用: 438
An explainable deep-learning algorithm for the detection of acute intracranial haemorrhage from small datasets论文
Nature Biomedical Engineering2018引用: 447
Enhancement of Vascular Structures in3D and 2D Angiographic Images论文
IEEE Transactions on Medical Imaging2016引用: 294
Efficacy and safety of non-immersive virtual reality exercising in stroke rehabilitation (EVREST): a randomised, multicentre, single-blind, controlled trial论文
The Lancet Neurology2016引用: 394
Cost function masking during normalization of brains with focal lesions: Still a necessity?论文
NeuroImage2010引用: 223
Virtual Rehabilitation – Benefits and Challenges论文
Methods of Information in Medicine2003引用: 397
Validating Administrative Data in Stroke Research论文
Stroke2002引用: 662
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