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09/15/2023
Music Source Separation Based on a Lightweight Deep Learning Framework (DTTNET: DUAL-PATH TFC-TDF UNET)
Music source separation (MSS) aims to extract 'vocals', 'drums', 'bass' ...
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08/05/2023
MomentaMorph: Unsupervised Spatial-Temporal Registration with Momenta, Shooting, and Correction
Tagged magnetic resonance imaging (tMRI) has been employed for decades t...
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07/28/2023
A Survey on Deep Learning in Medical Image Registration: New Technologies, Uncertainty, Evaluation Metrics, and Beyond
Over the past decade, deep learning technologies have greatly advanced t...
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05/08/2023
Learning to Evaluate the Artness of AI-generated Images
Assessing the artness of AI-generated images continues to be a challenge...
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03/28/2023
Predicting Adverse Neonatal Outcomes for Preterm Neonates with Multi-Task Learning
Diagnosis of adverse neonatal outcomes is crucial for preterm survival s...
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03/24/2023
An investigation of licensing of datasets for machine learning based on the GQM model
Dataset licensing is currently an issue in the development of machine le...
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03/10/2023
Deformable Cross-Attention Transformer for Medical Image Registration
Transformers have recently shown promise for medical image applications,...
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03/10/2023
Spatially-varying Regularization with Conditional Transformer for Unsupervised Image Registration
In the past, optimization-based registration models have used spatially-...
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02/08/2023
SwinCross: Cross-modal Swin Transformer for Head-and-Neck Tumor Segmentation in PET/CT Images
Radiotherapy (RT) combined with cetuximab is the standard treatment for ...
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12/21/2022
Investigation of Network Architecture for Multimodal Head-and-Neck Tumor Segmentation
Inspired by the recent success of Transformers for Natural Language Proc...
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11/23/2022
Improving Visual-textual Sentiment Analysis by Fusing Expert Features
Visual-textual sentiment analysis aims to predict sentiment with the inp...
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09/07/2022
Spach Transformer: Spatial and Channel-wise Transformer Based on Local and Global Self-attentions for PET Image Denoising
Position emission tomography (PET) is widely used in clinics and researc...
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06/02/2022
Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives
Transformer, the latest technological advance of deep learning, has gain...
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03/15/2022
A Noise-level-aware Framework for PET Image Denoising
In PET, the amount of relative (signal-dependent) noise present in diffe...
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11/19/2021
TransMorph: Transformer for unsupervised medical image registration
In the last decade, convolutional neural networks (ConvNets) have domina...
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09/29/2021
Targeted Gradient Descent: A Novel Method for Convolutional Neural Networks Fine-tuning and Online-learning
A convolutional neural network (ConvNet) is usually trained and then tes...
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04/17/2021
Learning Fuzzy Clustering for SPECT/CT Segmentation via Convolutional Neural Networks
Quantitative bone single-photon emission computed tomography (QBSPECT) h...
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04/13/2021
ViT-V-Net: Vision Transformer for Unsupervised Volumetric Medical Image Registration
In the last decade, convolutional neural networks (ConvNets) have domina...
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01/28/2020
An Unsupervised Learning Model for Medical Image Segmentation
For the majority of the learning-based segmentation methods, a large qua...
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12/06/2019
Generating Patient-like Phantoms Using Fully Unsupervised Deformable Image Registration with Convolutional Neural Networks
The use of Convolutional neural networks (ConvNets) in medical imaging r...
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07/05/2019
