Ensemble of Deep Convolutional Neural Networks for Prognosis of Ischemic Stroke

By Youngwon Choi, Yongchan Kwon, Han-Byul Lee, Beomjoon Kim, Myunghee Cho Paik, Joong-Ho Won. 2016

46 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Epidemiology, Neurology

How researchers see this paper

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In Biomedical Engineering

1. Cuntai Guan
2. Erico Tjoa

Citations in the corpus

• A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI (2019, background): “Some medical segmentation works will fall into this category as well, since the segmentation will constitute a visual explanation for further diagnosis/prognosis [84] [85] (also see other categories of the grand challenge).”
• BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search (2019, neutral): “Ensembles of neural networks, even of size three and five, have been shown in some cases to give more reliable uncertainty estimates than other leading approaches such as BNNs (Lakshminarayanan, Pritzel, and Blundell 2017; Beluch et al. 2018; Choi et al. 2016; Snoek et al. 2019; Zaidi et al. 2020).”
• Deep learning based brain tumor segmentation: a survey (2020, background): “VANT PAPERS FOR DEEP LEARNING BASED BRAIN TUMOR SEGMENTATION. Method Categories Sub Categories Publications CNN Single-Path [26], [27], [28], [29], [30], [31], [32] Multi-Path [33], [34], [35], [36], [37], [38], [39], [40], [41], [42] FCN Vanilla FCN [43], [44], [28], [45], [46], [47], [48], [49], [”