53 citations · 67 across the 4 of their papers we have counts for
3 papers · 1 filter
Atomic Depth Estimation From Noisy Electron Microscopy Data Via Deep Learning
Matan Leibovich, Mai Tan, Ramon Manzorro +4
We present a novel approach for extracting 3D atomic-level information from transmission electron microscopy (TEM) images affected by significant noise. The approach is based on fo…
Adaptive Denoising via GainTuning
Sreyas Mohan, Joshua L. Vincent, Ramon Manzorro +3
Deep convolutional neural networks (CNNs) for image denoising are usually trained on large datasets. These models achieve the current state of the art, but they have difficulties g…
Deep Denoising For Scientific Discovery: A Case Study In Electron Microscopy
Sreyas Mohan, Ramon Manzorro, Joshua L. Vincent +6
Denoising is a fundamental challenge in scientific imaging. Deep convolutional neural networks (CNNs) provide the current state of the art in denoising natural images, where they p…