Understanding the Influence of Receptive Field and Network Complexity in Neural-Network-Guided TEM Image Analysis

8 April 2022

Papers citing "Understanding the Influence of Receptive Field and Network Complexity in Neural-Network-Guided TEM Image Analysis"

5 / 5 papers shown

Title
DNA Origami Nanostructures Observed in Transmission Electron Microscopy Images can be Characterized through Convolutional Neural Networks Xingfei Wei Qiankun Mo Chi Chen Mark Bathe Rigoberto Hernandez 52 0 0 13 Mar 2025
Demystifying the Effect of Receptive Field Size in U-Net Models for Medical Image Segmentation Vincent Loos Rohit Pardasani Navchetan Awasthi SSeg 97 2 0 24 Jun 2024
Self-Supervised Learning with Generative Adversarial Networks for Electron Microscopy Bashir Kazimi Karina Ruzaeva Stefan Sandfeld 85 6 0 28 Feb 2024
A robust synthetic data generation framework for machine learning in High-Resolution Transmission Electron Microscopy (HRTEM) L. Dacosta Katherine Sytwu Catherine K. Groschner Mary C Scott 65 6 0 12 Sep 2023
Generalization Across Experimental Parameters in Machine Learning Analysis of High Resolution Transmission Electron Microscopy Datasets Katherine Sytwu L. Dacosta M. Scott 34 2 0 20 Jun 2023