most citedUnsupervised Feature Learning with K-means and An Ensemble of Deep Convolutional Neural Networks for Medical Image Classification

17 citations · 21 across the 2 of their papers we have counts for

collaborators

3 papers

cs.CV2020★ 4 cited

Multi-Modality Information Fusion for Radiomics-based Neural Architecture Search

Yige Peng, Lei Bi, Michael Fulham +2

'Radiomics' is a method that extracts mineable quantitative features from radiographic images. These features can then be used to determine prognosis, for example, predicting the d…

cs.CV2020

A Spatiotemporal Volumetric Interpolation Network for 4D Dynamic Medical Image

Yuyu Guo, Lei Bi, Euijoon Ahn +3

Dynamic medical imaging is usually limited in application due to the large radiation doses and longer image scanning and reconstruction times. Existing methods attempt to reduce th…

cs.CV2019★ 17 cited

Unsupervised Feature Learning with K-means and An Ensemble of Deep Convolutional Neural Networks for Medical Image Classification

Euijoon Ahn, Ashnil Kumar, Dagan Feng +2

Medical image analysis using supervised deep learning methods remains problematic because of the reliance of deep learning methods on large amounts of labelled training data. Altho…