3 citations · 3 across the 5 of their papers we have counts for
5 papers
Coarsening dynamics of fingerprint labyrinthine patterns: Machine learning assisted characterization
Supriyo Ghosh, Vinicius Yu Okubo, Kotaro Shimizu +3
Fingerprint labyrinthine patterns exhibit a level of structural complexity beyond simple stripe phases, combining local stripe order with a dense network of point-like defects. Unl…
Geometric Analysis of Magnetic Labyrinthine Stripe Evolution via Deep Learning Segmentation
Vinícius Yu Okubo, Kotaro Shimizu, B. S. Shivaram +2
Labyrinthine stripe patterns are common in many physical systems, yet their lack of long-range order makes quantitative characterization challenging. We investigate the evolution o…
Optimizing Breast Cancer Detection in Mammograms: A Comprehensive Study of Transfer Learning, Resolution Reduction, and Multi-View Classification
Daniel G. P. Petrini, Hae Yong Kim
Mammography, an X-ray-based imaging technique, remains central to the early detection of breast cancer. Recent advances in artificial intelligence have enabled increasingly sophist…
Characterization of Magnetic Labyrinthine Structures Through Junctions and Terminals Detection Using Template Matching and CNN
Vinícius Yu Okubo, Kotaro Shimizu, B. S. Shivaram +1
Defects influence diverse properties of materials, shaping their structural, mechanical, and electronic characteristics. Among a variety of materials exhibiting unique defects, mag…
Machine Learning Assisted Characterization of Labyrinthine Pattern Transitions
Kotaro Shimizu, Vinicius Yu Okubo, Rose Knight +5
We present a comprehensive approach to characterizing labyrinthine structures that often emerge as a final steady state in pattern forming systems. We employ advanced machine learn…