Emerging multi-core processors are able to accelerate medical imaging applications by exploiting the parallelism available in their algorithms. We have implemented a mutual-inform...
Moriyoshi Ohara, Hangu Yeo, Frank Savino, Giridhar...
Microtubule (MT) dynamics are traditionally analyzed from time lapse images by manual techniques that are laborious, approximate and often limited. Recently, computer vision techn...
Mehmet Emre Sargin, Alphan Altinok, Erlam Kiris, S...
Multi-photon laser scanning microscopy is a cutting-edge tool for high-resolution imaging of living tissue and organisms used to study biological processes such as cellular dynami...
The current method of grading prostate cancer on histology uses the Gleason system, which describes five increasingly malignant stages of cancer according to qualitative analysis...
Scott Doyle, Mark Hwang, Kinsuk Shah, Anant Madabh...
We present a new tracking algorithm based on the full multidirectional information of the diffusion orientation distribution function (ODF) estimated from Q-Ball Imaging (QBI). Fr...
Quantitative analysis of dynamical processes in living cells by means of fluorescence microscopy imaging requires tracking of hundreds of bright spots in noisy image sequences. D...
We build an image analysis toolbox for high-throughput Drosophila embryo RNAi screens. The goal is to tag the embryo as normal, developmentally delayed or abnormal based on the ve...
Ryan A. Kellogg, Amina Chebira, Anupam Goyal, Phil...
Quantitative analysis of cardiac motion is of great clinical interest in assessing ventricular function. Real-time 3-D (RT3D) ultrasound transducers provide valuable fourdimension...
Qi Duan, Elsa D. Angelini, Shunichi Homma, Andrew ...
We propose a computational framework for learning predictive image features as “biomarkers” for Alzheimer’s Disease discrimination using high-resolutionMagnetic Resonance (M...
Yanxi Liu, Leonid Teverovskiy, Oscar L. Lopez, How...