Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Golhar, Mayank"'
Autor:
Bobrow, Taylor L., Golhar, Mayank, Vijayan, Rohan, Akshintala, Venkata S., Garcia, Juan R., Durr, Nicholas J.
Screening colonoscopy is an important clinical application for several 3D computer vision techniques, including depth estimation, surface reconstruction, and missing region detection. However, the development, evaluation, and comparison of these tech
Externí odkaz:
http://arxiv.org/abs/2206.08903
A major challenge in applying deep learning to medical imaging is the paucity of annotated data. This study demonstrates that synthetic colonoscopy images generated by Generative Adversarial Network (GAN) inversion can be used as training data to imp
Externí odkaz:
http://arxiv.org/abs/2205.02840
Autor:
Golhar, Mayank, Bobrow, Taylor L., Khoshknab, MirMilad Pourmousavi, Jit, Simran, Ngamruengphong, Saowanee, Durr, Nicholas J.
Publikováno v:
IEEE Access, vol. 9, pp. 631-640, 2021
While data-driven approaches excel at many image analysis tasks, the performance of these approaches is often limited by a shortage of annotated data available for training. Recent work in semi-supervised learning has shown that meaningful representa
Externí odkaz:
http://arxiv.org/abs/2009.03162
Autor:
Bobrow, Taylor L., Golhar, Mayank, Vijayan, Rohan, Akshintala, Venkata S., Garcia, Juan R., Durr, Nicholas J.
Publikováno v:
In Medical Image Analysis December 2023 90
This book contains revised and extended versions of selected papers from the 6th International Conference on Pattern Recognition, ICPRAM 2017, held in Porto, Portugal, in February 2017. The 13 full papers presented were carefully reviewed and selecte