Nabil Ettehadi
Zitiert von
Zitiert von
PTNet3D: A 3D High-Resolution Longitudinal Infant Brain MRI Synthesizer Based on Transformers
X Zhang, X He, J Guo, N Ettehadi, N Aw, D Semanek, J Posner, A Laine, ...
IEEE Transactions on Medical Imaging, 2022
Classification of Diabetic Retinopathy via Fundus Photography: Utilization of Deep Learning Approaches to Speed up Disease Detection
H Zhuang, N Ettehadi
arXiv preprint arXiv:2007.09478, 2020
Near Real-Time Robotic Grasping of Novel Objects in Cluttered Scenes
A Jabalameli, N Ettehadi, A Behal
Science and Information Conference, 339-354, 2019
Implementation of Feeding Task via Learning from Demonstration
N Ettehadi, A Behal
2018 Second IEEE International Conference on Robotic Computing (IRC), 274-277, 2018
A Learning from Demonstration Framework for Implementation of a Feeding Task
N Ettehadi, A Behal
Encyclopedia with Semantic Computing and Robotic Intelligence, 2018
Automated Multiclass Artifact Detection in diffusion MRI Volumes via 3D Residual Squeeze-and-Excitation Convolutional Neural Networks
N Ettehadi, P Kashyap, X Zhang, Y Wang, D Semanek, K Desai, J Guo, ...
Frontiers in Human Neuroscience, 172, 0
Automatic Volumetric Quality Assessment of Diffusion MR Images via Convolutional Neural Network Classifiers
N Ettehadi, X Zhang, Y Wang, D Semanek, J Guo, J Posner, AF Laine
2021 43rd Annual International Conference of the IEEE Engineering in …, 2021
Learning from Demonstration: Generalization via Task Segmentation
N Ettehadi, S Manaffam, A Behal
IOP Conference Series: Materials Science and Engineering 261 (1), 012001, 2017
Evidence suggesting common mechanisms underlie contralateral and ipsilateral negative BOLD responses in human visual cortex
H He, N Ettehadi, A Shmuel, QR Razlighi
NeuroImage, 119440, 2022
Robust deep labeling of radiological emphysema subtypes using squeeze and excitation convolutional neural networks: The MESA Lung and SPIROMICS Studies
A Wysoczanski, N Ettehadi, S Arabshahi, Y Sun, KH Stukovsky, ...
arXiv preprint arXiv:2403.00257, 2024
Artificial Intelligence for Detection, Characterization, and Classification of Complex Visual Patterns in Medical Imaging; Applications in Pulmonary and Neuro-imaging
N Ettehadi
Columbia University, 2022
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