7 citations · 9 across the 4 of their papers we have counts for
5 papers
DoubleU-Net++: Architecture with Exploit Multiscale Features for Vertebrae Segmentation
Simindokht Jahangard, Mahdi Bonyani, Abbas Khosravi
Accurate segmentation of the vertebra is an important prerequisite in various medical applications (E.g. tele surgery) to assist surgeons. Following the successful development of d…
Predicting Driver Intention Using Deep Neural Network
Mahdi Bonyani, Mina Rahmanian, Simindokht Jahangard
To improve driving safety and avoid car accidents, Advanced Driver Assistance Systems (ADAS) are given significant attention. Recent studies have focused on predicting driver inten…
Persian Handwritten Digit, Character and Word Recognition Using Deep Learning
Mehdi Bonyani, Simindokht Jahangard, Morteza Daneshmand
Digit, letter and word recognition for a particular script has various applications in todays commercial contexts. Nevertheless, only a limited number of relevant studies have deal…
U-Net Based Architecture for an Improved Multiresolution Segmentation in Medical Images
Simindokht Jahangard, Mohammad Hossein Zangooei, Maysam Shahedi
Purpose: Manual medical image segmentation is an exhausting and time-consuming task along with high inter-observer variability. In this study, our objective is to improve the multi…
In Situ Cane Toad Recognition
Dmitry A. Konovalov, Simindokht Jahangard, Lin Schwarzkopf
Cane toads are invasive, toxic to native predators, compete with native insectivores, and have a devastating impact on Australian ecosystems, prompting the Australian government to…