175 citations · 194 across the 4 of their papers we have counts for
6 papers · 1 filter
A Spatial Guided Self-supervised Clustering Network for Medical Image Segmentation
Euijoon Ahn, Dagan Feng, Jinman Kim
The segmentation of medical images is a fundamental step in automated clinical decision support systems. Existing medical image segmentation methods based on supervised deep learni…
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…
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…
Unsupervised Deep Transfer Feature Learning for Medical Image Classification
Euijoon Ahn, Ashnil Kumar, Dagan Feng +2
The accuracy and robustness of image classification with supervised deep learning are dependent on the availability of large-scale, annotated training data. However, there is a pau…
Convolutional Sparse Kernel Network for Unsupervised Medical Image Analysis
Euijoon Ahn, Jinman Kim, Ashnil Kumar +2
The availability of large-scale annotated image datasets and recent advances in supervised deep learning methods enable the end-to-end derivation of representative image features t…
Automatic Skin Lesion Analysis using Large-scale Dermoscopy Images and Deep Residual Networks
Lei Bi, Jinman Kim, Euijoon Ahn +1
Malignant melanoma has one of the most rapidly increasing incidences in the world and has a considerable mortality rate. Early diagnosis is particularly important since melanoma ca…