Advanced Steel Microstructural Classification by Deep Learning Methods

20 June 2017

Mario Fritz

Papers citing "Advanced Steel Microstructural Classification by Deep Learning Methods"

20 / 20 papers shown

Title
A Deep Learning Approach for Pixel-level Material Classification via Hyperspectral Imaging Savvas Sifnaios George Arvanitakis Fotios K. Konstantinidis Georgios Tsimiklis Angelos Amditis Panayiotis Frangos 34 3 0 20 Sep 2024
AI-Guided Feature Segmentation Techniques to Model Features from Single Crystal Diamond Growth R. Mekala Elias Garratt Matthias Muehle Arjun Srinivasan Adam A. Porter Mikael Lindvall 34 1 0 10 Apr 2024
$Macroscale fracture surface segmentation via semi-supervised learning considering the structural similarity$ Macroscale fracture surface segmentation via semi-supervised learning considering the structural similarity Johannes Rosenberger Johannes Tlatlik S. Münstermann 26 7 0 27 Mar 2024
Bellybutton: Accessible and Customizable Deep-Learning Image Segmentation Sam Dillavou Jesse M. Hanlan A. Chieco Hongyi Xiao S. Fulco Kevin T. Turner D. Durian SSeg 3DH 13 0 0 31 Aug 2023
Automated Grain Boundary (GB) Segmentation and Microstructural Analysis in 347H Stainless Steel Using Deep Learning and Multimodal Microscopy S. Chowdhury M. Taufique Junchang Wang Marissa Masden M. Wenzlick Ram Devanathan A. Schemer-Kohrn K. Kappagantula 15 5 0 12 May 2023
Parameters, Properties, and Process: Conditional Neural Generation of Realistic SEM Imagery Towards ML-assisted Advanced Manufacturing Scott Howland Lara Kassab K. Kappagantula Henry Kvinge Tegan H. Emerson AI4CE 38 7 0 13 Jan 2023
Computer Vision Methods for the Microstructural Analysis of Materials: The State-of-the-art and Future Perspectives Khaled Alrfou Amir Kordijazi Tian Zhao 3DV 42 6 0 29 Jul 2022
Semi-supervised machine learning model for analysis of nanowire morphologies from transmission electron microscopy images Shizhao Lu Brian Montz T. Emrick A. Jayaraman 35 7 0 25 Mar 2022
Digital Fingerprinting of Microstructures Michael White Alexander Tarakanov C. Race P. Withers K. Law 34 7 0 25 Mar 2022
Addressing materials' microstructure diversity using transfer learning Aurèle Goetz Ali Riza Durmaz Martin Müller Akhil Thomas D. Britz P. Kerfriden C. Eberl OOD 22 21 0 29 Jul 2021
An End-to-End Computer Vision Methodology for Quantitative Metallography M. Rusanovsky O. Beeri Gal Oren 13 18 0 22 Apr 2021
Overview: Computer vision and machine learning for microstructural characterization and analysis Elizabeth A. Holm R. Cohn Nan Gao Andrew R. Kitahara Thomas P. Matson Bo Lei Srujana Rao Yarasi 28 161 0 28 May 2020
Insights into Performance Fitness and Error Metrics for Machine Learning M. Z. Naser A. Alavi 11 273 0 17 May 2020
Big-Data Science in Porous Materials: Materials Genomics and Machine Learning Kevin Maik Jablonka D. Ongari S. M. Moosavi B. Smit AI4CE 31 351 0 18 Jan 2020
Extracting local switching fields in permanent magnets using machine learning M. Gusenbauer H. Oezelt J. Fischbacher A. Kovacs P. Zhao T. G. Woodcock T. Schrefl 10 27 0 21 Oct 2019
Data augmentation in microscopic images for material data mining Boyuan Ma Xiaoyan Wei Chuni Liu Xiaojuan Ban Haiyou Huang ... Mingfei Gao Qing Shen Adnan Omer Abuassba Haokai Shen Yanjing Su 13 0 0 12 May 2019
Unsupervised Feature Learning Architecture with Multi-clustering Integration RBM Jielei Chu Hongjun Wang Jing Liu Zhiguo Gong Tianrui Li 9 22 0 05 Dec 2018
ShuffleDet: Real-Time Vehicle Detection Network in On-board Embedded UAV Imagery S. Azimi 21 35 0 15 Nov 2018
High throughput quantitative metallography for complex microstructures using deep learning: A case study in ultrahigh carbon steel Brian L. DeCost Bo Lei T. Francis Elizabeth A. Holm AI4CE 14 143 0 04 May 2018
Building Data-driven Models with Microstructural Images: Generalization and Interpretability Julia Ling Maxwell Hutchinson Erin Antono Brian L. DeCost Elizabeth A. Holm B. Meredig AI4CE OOD 21 67 0 01 Nov 2017