research
∙
03/27/2023
MoViT: Memorizing Vision Transformers for Medical Image Analysis
The synergy of long-range dependencies from transformers and local repre...
share
research
∙
02/09/2022
Optimal Hyperparameters and Structure Setting of Multi-Objective Robust CNN Systems via Generalized Taguchi Method and Objective Vector Norm
Recently, Machine Learning (ML), Artificial Intelligence (AI), and Convo...
research
∙
01/23/2022
ReconFormer: Accelerated MRI Reconstruction Using Recurrent Transformer
Accelerating magnetic resonance image (MRI) reconstruction process is a ...
research
∙
06/16/2021
Over-and-Under Complete Convolutional RNN for MRI Reconstruction
Reconstructing magnetic resonance (MR) images from undersampled data is ...
research
∙
05/18/2021
ModelPS: An Interactive and Collaborative Platform for Editing Pre-trained Models at Scale
AI engineering has emerged as a crucial discipline to democratize deep n...
research
∙
03/31/2021
Blockchain and Sustainability: A Tertiary Study
Blockchain is an emerging technology with potential to address issues re...
research
∙
03/03/2021
Multi-institutional Collaborations for Improving Deep Learning-based Magnetic Resonance Image Reconstruction Using Federated Learning
Fast and accurate reconstruction of magnetic resonance (MR) images from ...
research
∙
08/06/2020
Confidence-guided Lesion Mask-based Simultaneous Synthesis of Anatomic and Molecular MR Images in Patients with Post-treatment Malignant Gliomas
Data-driven automatic approaches have demonstrated their great potential...
research
∙
06/26/2020
Lesion Mask-based Simultaneous Synthesis of Anatomic and MolecularMR Images using a GAN
Data-driven automatic approaches have demonstrated their great potential...
research
∙
05/09/2018
Layered Optical Flow Estimation Using a Deep Neural Network with a Soft Mask
Using a layered representation for motion estimation has the advantage o...
research
∙
09/17/2015
