27 citations · 44 across the 8 of their papers we have counts for
9 papers
Surgical task expertise detected by a self-organizing neural network map
Birgitta Dresp-Langley, Rongrong Liu, John M. Wandeto
Individual grip force profiling of bimanual simulator task performance of experts and novices using a robotic control device designed for endoscopic surgery permits defining benchm…
Human Symmetry Uncertainty Detected by a Self-Organizing Neural Network Map
Birgitta Dresp-Langley, John M. Wandeto
Symmetry in biological and physical systems is a product of self organization driven by evolutionary processes, or mechanical systems under constraints. Symmetry based feature extr…
Pixel precise unsupervised detection of viral particle proliferation in cellular imaging data
Birgitta Dresp-Langley, John M. Wandeto
Cellular and molecular imaging techniques and models have been developed to characterize single stages of viral proliferation after focal infection of cells in vitro. The fast and…
The quantization error in a Self-Organizing Map as a contrast and colour specific indicator of single-pixel change in large random patterns
John M Wandeto, Birgitta Dresp-Langley
The quantization error in a fixed-size Self-Organizing Map (SOM) with unsupervised winner-take-all learning has previously been used successfully to detect, in minimal computation…
Detection of small changes in medical and random-dot images comparing self-organizing map performance to human detection
John Wandeto, Henry Nyongesa, Yves Remond +1
Radiologists use time series of medical images to monitor the progression of a patient condition. They compare information gleaned from sequences of images to gain insight on progr…
Unsupervised automatic classification of Scanning Electron Microscopy (SEM) images of CD4+ cells with varying extent of HIV virion infection
John M. Wandeto, Birgitta Dresp-Langley
Archiving large sets of medical or cell images in digital libraries may require ordering randomly scattered sets of image data according to specific criteria, such as the spatial e…