6 citations · 6 across the 2 of their papers we have counts for
3 papers
Dual-Stage Deeply Supervised Attention-based Convolutional Neural Networks for Mandibular Canal Segmentation in CBCT Scans
Azka Rehman, Muhammad Usman, Rabeea Jawaid +6
Accurate segmentation of mandibular canals in lower jaws is important in dental implantology. Medical experts determine the implant position and dimensions manually from 3D CT imag…
Volumetric Lung Nodule Segmentation using Adaptive ROI with Multi-View Residual Learning
Muhammad Usman, Byoung-Dai Lee, Shi Sub Byon +2
Accurate quantification of pulmonary nodules can greatly assist the early diagnosis of lung cancer, which can enhance patient survival possibilities. A number of nodule segmentatio…
Motion Corrected Multishot MRI Reconstruction Using Generative Networks with Sensitivity Encoding
Muhammad Usman, Muhammad Umar Farooq, Siddique Latif +2
Multishot Magnetic Resonance Imaging (MRI) is a promising imaging modality that can produce a high-resolution image with relatively less data acquisition time. The downside of mult…