Xin Yi PhD
Cited by
Cited by
Generative adversarial network in medical imaging: A review
X Yi, E Walia, P Babyn
Medical image analysis 58, 101552, 2019
Sharpness-aware low-dose CT denoising using conditional generative adversarial network
X Yi, P Babyn
Journal of digital imaging 31 (5), 655-669, 2018
LBP-based segmentation of defocus blur
X Yi, M Eramian
IEEE transactions on image processing 25 (4), 1626-1638, 2016
Unsupervised and semi-supervised learning with categorical generative adversarial networks assisted by wasserstein distance for dermoscopy image classification
X Yi, E Walia, P Babyn
arXiv preprint arXiv:1804.03700, 2018
Automatic catheter and tube detection in pediatric x-ray images using a scale-recurrent network and synthetic data
X Yi, S Adams, P Babyn, A Elnajmi
Journal of digital imaging 33 (1), 181-190, 2020
Identification of morphologically similar seeds using multi-kernel learning
X Yi, M Eramian, R Wang, E Neufeld
2014 Canadian Conference on Computer and Robot Vision, 143-150, 2014
Computer-aided Assessment of Catheters and Tubes on Radiographs: How Good Is Artificial Intelligence for Assessment?
X Yi, SJ Adams, RDE Henderson, P Babyn
Radiology: Artificial Intelligence 2 (1), e190082, 2020
Artificial Intelligence Solutions for Analysis of X-ray Images
SJ Adams, RDE Henderson, X Yi, P Babyn
Canadian Association of Radiologists Journal, 0846537120941671, 2020
Plant Seed Identification
X Yi
University of Saskatchewan, 2017
Seed Identification Using Computer Vision—A Proof of Concept Study
X Yi, M Eramian, R Wang, J Neudorf, A Salzl, J Maruschak
Seed Technology, 93-100, 2016
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