Tiling and Stitching Segmentation Output for Remote Sensing: Basic Challenges and Recommendations

30 May 2018

Papers citing "Tiling and Stitching Segmentation Output for Remote Sensing: Basic Challenges and Recommendations"

4 / 4 papers shown

Title
GAN-based synthetic FDG PET images from T1 brain MRI can serve to improve performance of deep unsupervised anomaly detection models Daria Zotova Nicolas Pinon Robin Trombetta R. Bouet Julien Jung Carole Lartizien MedIm 33 0 0 12 May 2025
Low-field magnetic resonance image enhancement via stochastic image quality transfer Hongxiang Lin Matteo Figini F. D’Arco G. Ogbole Ryutaro Tanno ... D. Carmichael I. Lagunju J. Cross D. Fernández-Reyes Daniel C. Alexander 23 20 0 26 Apr 2023
Localise to segment: crop to improve organ at risk segmentation accuracy Abraham George Smith Denis Kutnár I. Vogelius S. Darkner Jens Petersen SSeg 25 2 0 10 Apr 2023
Unsupervised Flood Detection on SAR Time Series Ritu Yadav A. Nascetti Hossein Azizpour Y. Ban 19 8 0 07 Dec 2022