Implementation of Feeding Task via Learning from Demonstration. - Nabil Ettehadi; Aman Behal (IRC, 2018)

Edge-Based Recognition of Novel Objects for Robotic Grasping. - Amirhossein Jabalameli; Nabil Ettehadi; Aman Behal (CoRR, 2018)

A learning from demonstration framework for implementation of a feeding task. - Nabil Ettehadi; Aman Behal (Encycl. Semantic Comput. Robotic Intell., 2018)

Classification of Diabetic Retinopathy via Fundus Photography: Utilization of Deep Learning Approaches to Speed up Disease Detection. - Hangwei Zhuang; Nabil Ettehadi (CoRR, 2020)

Automatic Volumetric Quality Assessment of Diffusion MR Images via Convolutional Neural Network Classifiers. - Nabil Ettehadi; Xuzhe Zhang; Yun Wang; David Semanek; Jia Guo; Jonathan Posner; Andrew F. Laine (EMBC, 2021)

PTNet: A High-Resolution Infant MRI Synthesizer Based on Transformer. - Xuzhe Zhang; Xinzi He; Jia Guo; Nabil Ettehadi; Natalie Aw; David Semanek; Jonathan Posner; Andrew Laine; Yun Wang (CoRR, 2021)

Evidence suggesting common mechanisms underlie contralateral and ipsilateral negative BOLD responses in the human visual cortex. - Hengda He; Nabil Ettehadi; Amir Shmuel; Qolamreza R. Razlighi (NeuroImage, 2022)

PTNet3D: A 3D High-Resolution Longitudinal Infant Brain MRI Synthesizer Based on Transformers. - Xuzhe Zhang; Xinzi He; Jia Guo; Nabil Ettehadi; Natalie Aw; David Semanek; Jonathan Posner; Andrew Laine; Yun Wang (IEEE Trans. Medical Imaging, 2022)

Robust deep labeling of radiological emphysema subtypes using squeeze and excitation convolutional neural networks: The MESA Lung and SPIROMICS Studies. - Artur Wysoczanski; Nabil Ettehadi; Soroush Arabshahi; Yifei Sun; Karen Hinkley Stukovsky; Karol E. Watson; MeiLan K. Han; Erin D. Michos; Alejandro P. Comellas; Eric A. Hoffman; Andrew F. Laine; R. Graham Barr; et al. (CoRR, 2024)