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- Removing Imaging Artifacts in Electron Microscopy using an Asymmetrically Cyclic Adversarial Network without Paired Training Data. [Read more.]
- Accurate cancer type classification based on somatic alterations using an ensemble of a random forest and a deep neural network. [Read more.]
- Gene Mutation Detection in Biliary Tract Cancer. [Read more.]
- Weakly Supervised Learning in Deformable EM Image Registration using Slice Interpolation. [Read more.]
- Bright-Field to Fluorescence Microscopy Image Conversion Using Deep Learning for Label-Free High-Content Screening. [Read more.]
- Convolutional Sparse Coding for Cell Segmentation in Microscopy Images. [Read more.]
- GPU Computing for Medical Image Analysis. [Read more.]
- High-performance computing for viscosity solution. [Read more.]
- Visual and Scientific computing in MapReduce framework. [Read more.]
