35 citations · 53 across the 6 of their papers we have counts for
7 papers
USFetal: Tools for Fetal Brain Ultrasound Compounding
Mohammad Khateri, Morteza Ghahremani, Sergio Valencia +5
Ultrasound offers a safe, cost-effective, and widely accessible technology for fetal brain imaging, making it especially suitable for routine clinical use. However, it suffers from…
MRI Super-Resolution with Deep Learning: A Comprehensive Survey
Mohammad Khateri, Serge Vasylechko, Morteza Ghahremani +9
High-resolution (HR) magnetic resonance imaging (MRI) is crucial for many clinical and research applications. However, achieving it remains costly and constrained by technical trad…
No-Clean-Reference Image Super-Resolution: Application to Electron Microscopy
Mohammad Khateri, Morteza Ghahremani, Alejandra Sierra +1
The inability to acquire clean high-resolution (HR) electron microscopy (EM) images over a large brain tissue volume hampers many neuroscience studies. To address this challenge, w…
Self-Supervised Super-Resolution Approach for Isotropic Reconstruction of 3D Electron Microscopy Images from Anisotropic Acquisition
Mohammad Khateri, Morteza Ghahremani, Alejandra Sierra +1
Three-dimensional electron microscopy (3DEM) is an essential technique to investigate volumetric tissue ultra-structure. Due to technical limitations and high imaging costs, sample…
Regional Attention Network (RAN) for Head Pose and Fine-grained Gesture Recognition
Ardhendu Behera, Zachary Wharton, Morteza Ghahremani +2
Affect is often expressed via non-verbal body language such as actions/gestures, which are vital indicators for human behaviors. Recent studies on recognition of fine-grained actio…
FFD: Fast Feature Detector
Morteza Ghahremani, Yonghuai Liu, Bernard Tiddeman
Scale-invariance, good localization and robustness to noise and distortions are the main properties that a local feature detector should possess. Most existing local feature detect…