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09/11/2023
Towards Federated Learning Under Resource Constraints via Layer-wise Training and Depth Dropout
Large machine learning models trained on diverse data have recently seen...
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03/27/2023
MoViT: Memorizing Vision Transformers for Medical Image Analysis
The synergy of long-range dependencies from transformers and local repre...
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03/30/2022
Escaping Data Scarcity for High-Resolution Heterogeneous Face Hallucination
In Heterogeneous Face Recognition (HFR), the objective is to match faces...
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03/18/2022
Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation
Cross-silo federated learning (FL) has attracted much attention in medic...
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03/12/2022
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation
Federated learning (FL) is a distributed machine learning technique that...
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03/10/2022
On-the-Fly Test-time Adaptation for Medical Image Segmentation
One major problem in deep learning-based solutions for medical imaging i...
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03/08/2022
Towards performant and reliable undersampled MR reconstruction via diffusion model sampling
Magnetic Resonance (MR) image reconstruction from under-sampled acquisit...
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01/23/2022
ReconFormer: Accelerated MRI Reconstruction Using Recurrent Transformer
Accelerating magnetic resonance image (MRI) reconstruction process is a ...
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11/18/2021
Reference-based Magnetic Resonance Image Reconstruction Using Texture Transforme
Deep Learning (DL) based methods for magnetic resonance (MR) image recon...
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06/16/2021
Over-and-Under Complete Convolutional RNN for MRI Reconstruction
Reconstructing magnetic resonance (MR) images from undersampled data is ...
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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 ...
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09/28/2020
Cuid: A new study of perceived image quality and its subjective assessment
Research on image quality assessment (IQA) remains limited mainly due to...
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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...
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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...
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08/24/2019
