84 citations · 127 across the 7 of their papers we have counts for
8 papers · 1 filter
Semi-supervised estimation of event temporal length for cell event detection
Ha Tran Hong Phan, Ashnil Kumar, David Feng +2
Cell event detection in cell videos is essential for monitoring of cellular behavior over extended time periods. Deep learning methods have shown great success in the detection of…
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…
Co-Learning Feature Fusion Maps from PET-CT Images of Lung Cancer
Ashnil Kumar, Michael Fulham, Dagan Feng +1
The analysis of multi-modality positron emission tomography and computed tomography (PET-CT) images for computer aided diagnosis applications requires combining the sensitivity of…
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…
An unsupervised long short-term memory neural network for event detection in cell videos
Ha Tran Hong Phan, Ashnil Kumar, David Feng +2
We propose an automatic unsupervised cell event detection and classification method, which expands convolutional Long Short-Term Memory (LSTM) neural networks, for cellular events…