| DWI-FLAIR mismatch for the identification of patients with acute ischaemic stroke within 4· 5 h of symptom onset (PRE-FLAIR): a multicentre observational study G Thomalla, B Cheng, M Ebinger, Q Hao, T Tourdias, O Wu, JS Kim, ... The Lancet Neurology 10 (11), 978-986, 2011 | 659 | 2011 |
| Machine learning for precision medicine SJ MacEachern, ND Forkert Genome 64 (4), 416-425, 2021 | 294 | 2021 |
| Influence of stroke infarct location on functional outcome measured by the modified rankin scale B Cheng, ND Forkert, M Zavaglia, CC Hilgetag, A Golsari, S Siemonsen, ... Stroke 45 (6), 1695-1702, 2014 | 258 | 2014 |
| Deepvesselnet: Vessel segmentation, centerline prediction, and bifurcation detection in 3-d angiographic volumes G Tetteh, V Efremov, ND Forkert, M Schneider, J Kirschke, B Weber, ... Frontiers in Neuroscience 14, 592352, 2020 | 230 | 2020 |
| Magnetic particle imaging for real-time perfusion imaging in acute stroke P Ludewig, N Gdaniec, J Sedlacik, ND Forkert, P Szwargulski, M Graeser, ... ACS nano 11 (10), 10480-10488, 2017 | 185 | 2017 |
| Classifiers for ischemic stroke lesion segmentation: a comparison study O Maier, C Schröder, ND Forkert, T Martinetz, H Handels PloS one 10 (12), e0145118, 2015 | 153 | 2015 |
| Time-dependent computed tomographic perfusion thresholds for patients with acute ischemic stroke CD d’Esterre, ME Boesen, SH Ahn, P Pordeli, M Najm, P Minhas, ... Stroke 46 (12), 3390-3397, 2015 | 136 | 2015 |
| Association of cardiovascular risk factors with MRI indices of cerebrovascular structure and function and white matter hyperintensities in young adults W Williamson, AJ Lewandowski, ND Forkert, L Griffanti, TW Okell, J Betts, ... Jama 320 (7), 665-673, 2018 | 128 | 2018 |
| Supervised machine learning tools: a tutorial for clinicians LL Vercio, K Amador, JJ Bannister, S Crites, A Gutierrez, ME MacDonald, ... Journal of Neural Engineering 17 (6), 062001, 2020 | 105 | 2020 |
| Brain structural and vascular anatomy is altered in offspring of pre-eclamptic pregnancies: a pilot study MT Rätsep, A Paolozza, AF Hickman, B Maser, VR Kay, S Mohammad, ... American Journal of Neuroradiology 37 (5), 939-945, 2016 | 104 | 2016 |
| Mild behavioral impairment and subjective cognitive decline predict cognitive and functional decline Z Ismail, A McGirr, S Gill, S Hu, ND Forkert, EE Smith Journal of Alzheimer's disease 80 (1), 459-469, 2021 | 97 | 2021 |
| Using machine learning to predict dementia from neuropsychiatric symptom and neuroimaging data S Gill, P Mouches, S Hu, D Rajashekar, FP MacMaster, EE Smith, ... Journal of Alzheimer's Disease 75 (1), 277-288, 2020 | 95 | 2020 |
| Multivariate dynamic prediction of ischemic infarction and tissue salvage as a function of time and degree of recanalization A Kemmling, F Flottmann, ND Forkert, J Minnerup, W Heindel, G Thomalla, ... Journal of Cerebral Blood Flow & Metabolism 35 (9), 1397-1405, 2015 | 84 | 2015 |
| 3D cerebrovascular segmentation combining fuzzy vessel enhancement and level-sets with anisotropic energy weights ND Forkert, A Schmidt-Richberg, J Fiehler, T Illies, D Möller, D Säring, ... Magnetic resonance imaging 31 (2), 262-271, 2013 | 80 | 2013 |
| Plasma neurofilament light: a marker of neurodegeneration in mild behavioral impairment JP Naude, S Gill, S Hu, A McGirr, ND Forkert, O Monchi, PK Stys, ... Journal of Alzheimer's disease 76 (3), 1017-1027, 2020 | 78 | 2020 |
| ANTONIA perfusion and stroke ND Forkert, B Cheng, A Kemmling, G Thomalla, J Fiehler Methods of information in medicine 53 (06), 469-481, 2014 | 76 | 2014 |
| Quantitative measurements of relative fluid-attenuated inversion recovery (FLAIR) signal intensities in acute stroke for the prediction of time from symptom onset B Cheng, M Brinkmann, ND Forkert, A Treszl, M Ebinger, M Köhrmann, ... Journal of Cerebral Blood Flow & Metabolism 33 (1), 76-84, 2013 | 68 | 2013 |
| Automated syndrome diagnosis by three-dimensional facial imaging B Hallgrímsson, JD Aponte, DC Katz, JJ Bannister, SL Riccardi, ... Genetics in medicine 22 (10), 1682-1693, 2020 | 66 | 2020 |
| Artificial intelligence in stroke imaging: current and future perspectives VS Yedavalli, E Tong, D Martin, KW Yeom, ND Forkert Clinical imaging 69, 246-254, 2021 | 63 | 2021 |
| Vascular segmentation in TOF MRA images of the brain using a deep convolutional neural network R Phellan, A Peixinho, A Falcão, ND Forkert Intravascular Imaging and Computer Assisted Stenting, and Large-Scale …, 2017 | 62 | 2017 |
Matthias WilmsUniversity of Calgary在 ucalgary.ca 的电子邮件经过验证
