A new structured illumination microscopy (SIM) method, Speckle Flow SIM, that uses static patterned illumination on a dynamic scene and models the space-time relationship to super-resolve the dynamic scene.
A practical extension of the 3D DPC method that does not require a precise motion stage for scanning the focus and uses optimized illumination patterns for improved 3D refractive index tomography.
A validation study of our previously developed algorithm for prostate cancer detection using an independent patient cohort who went through radical prostatectomy and compared with genitourinary radiologists under the same setting.
We proposed a multi-class CNN to jointly detect prostate cancer lesions and characterizes their histopathological aggressiveness by fully utilizing distinctive knowledge from multi-parametric MRI.
We proposed to automatically discover object parts in an unsupervised manner, which disentangles feature components of object parts from feature representations of each convolutional filter.
We used active question-answering to weakly-supervised semanticize neural patterns in conv-layers of the CNN and mine part concepts.