12 citations · 15 across the 3 of their papers we have counts for
3 papers
Image Deconvolution via Noise-Tolerant Self-Supervised Inversion
Hirofumi Kobayashi, Ahmet Can Solak, Joshua Batson +1
We propose a general framework for solving inverse problems in the presence of noise that requires no signal prior, no noise estimate, and no clean training data. We only require t…
Modeling the Biological Pathology Continuum with HSIC-regularized Wasserstein Auto-encoders
Denny Wu, Hirofumi Kobayashi, Charles Ding +2
A crucial challenge in image-based modeling of biomedical data is to identify trends and features that separate normality and pathology. In many cases, the morphology of the imaged…
Exploring the Deep Feature Space of a Cell Classification Neural Network
Ezra Webb, Cheng Lei, Chun-Jung Huang +3
In this paper, we present contemporary techniques for visualising the feature space of a deep learning image classification neural network. These techniques are viewed in the conte…