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Results 1-10 of 28 (Search time: 0.003 seconds).
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PreviewIssue DateTitleAuthor(s)
2020Evolutionary Image Transition and Painting Using Random WalksNeumann, A.; Alexander, B.; Neumann, F.
2023Machine learning for abdominal aortic calcification assessment from bone density machine-derived lateral spine imagesSharif, N.; Gilani, S.Z.; Suter, D.; Reid, S.; Szulc, P.; Kimelman, D.; Monchka, B.A.; Jozani, M.J.; Hodgson, J.M.; Sim, M.; Zhu, K.; Harvey, N.C.; Kiel, D.P.; Prince, R.L.; Schousboe, J.T.; Leslie, W.D.; Lewis, J.R.
2013The minimal preprocessing pipelines for the Human Connectome ProjectGlasser, M.F.; Sotiropoulos, S.N.; Wilson, J.A.; Coalson, T.S.; Fischl, B.; Andersson, J.L.; Xu, J.; Jbabdi, S.; Webster, M.; Polimeni, J.R.; Van Essen, D.C.; Jenkinson, M.
2019Knowledge-based Collaborative Deep Learning for Benign-Malignant Lung Nodule Classification on Chest CTXie, Y.; Xia, Y.; Zhang, J.; Song, Y.; Feng, D.; Fulham, M.; Cai, W.
2019An effective density-based clustering and dynamic maintenance framework for evolving medical data streamsAl-Shammari, A.; Zhou, R.; Naseriparsaa, M.; Liu, C.
2014Optimizing full-brain coverage in human brain MRI through population distributions of brain sizeMennes, M.; Jenkinson, M.; Valabregue, R.; Buitelaar, J.K.; Beckmann, C.; Smith, S.
2012Temporally-independent functional modes of spontaneous brain activitySmith, S.M.; Miller, K.L.; Moeller, S.; Xu, J.; Auerbach, E.J.; Woolrich, M.W.; Beckmann, C.F.; Jenkinson, M.; Andersson, J.; Glasser, M.F.; Van Essen, D.C.; Feinberg, D.A.; Yacoubb, E.S.; Ugurbil, K.
2014Max-margin based learning for discriminative Bayesian network from neuroimaging dataZhou, L.; Wang, L.; Liu, L.; Ogunbona, P.; Shen, D.; 17th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2014) (14 Sep 2014 - 18 Sep 2014 : Boston, MA, USA)
2015An improved joint optimization of multiple level set functions for the segmentation of overlapping cervical cellsLu, Z.; Carneiro, G.; Bradley, A.
2023Emerging integrated SERS-microfluidic devices for analysis of cancer-derived small extracellular vesiclesNgo, L.; Pham, L.Q.A.; Tukova, A.; Hassanzadeh-Barforoushi, A.; Zhang, W.; Wang, Y.

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