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09/08/2023
Manifold-based Verbalizer Space Re-embedding for Tuning-free Prompt-based Classification
Prompt-based classification adapts tasks to a cloze question format util...
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08/23/2023
TAI-GAN: Temporally and Anatomically Informed GAN for early-to-late frame conversion in dynamic cardiac PET motion correction
The rapid tracer kinetics of rubidium-82 (^82Rb) and high variation of c...
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07/18/2023
Transformer-based Dual-domain Network for Few-view Dedicated Cardiac SPECT Image Reconstructions
Cardiovascular disease (CVD) is the leading cause of death worldwide, an...
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07/06/2023
UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human language
Decoding text stimuli from cognitive signals (e.g. fMRI) enhances our un...
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06/02/2023
Towards Robust GAN-generated Image Detection: a Multi-view Completion Representation
GAN-generated image detection now becomes the first line of defense agai...
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05/17/2023
Joint Denoising and Few-angle Reconstruction for Low-dose Cardiac SPECT Using a Dual-domain Iterative Network with Adaptive Data Consistency
Myocardial perfusion imaging (MPI) by single-photon emission computed to...
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05/17/2023
Cross-domain Iterative Network for Simultaneous Denoising, Limited-angle Reconstruction, and Attenuation Correction of Low-dose Cardiac SPECT
Single-Photon Emission Computed Tomography (SPECT) is widely applied for...
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04/14/2023
HuaTuo: Tuning LLaMA Model with Chinese Medical Knowledge
Large Language Models (LLMs), such as the LLaMA model, have demonstrated...
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04/12/2023
Global Prompt Cell: A Portable Control Module for Effective Prompt
As a novel approach to tuning pre-trained models, prompt tuning involves...
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04/04/2023
EPVT: Environment-aware Prompt Vision Transformer for Domain Generalization in Skin Lesion Recognition
Skin lesion recognition using deep learning has made remarkable progress...
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04/02/2023
FedFTN: Personalized Federated Learning with Deep Feature Transformation Network for Multi-institutional Low-count PET Denoising
Low-count PET is an efficient way to reduce radiation exposure and acqui...
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03/02/2023
Meta-information-aware Dual-path Transformer for Differential Diagnosis of Multi-type Pancreatic Lesions in Multi-phase CT
Pancreatic cancer is one of the leading causes of cancer-related death. ...
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02/18/2023
Dual-Domain Self-Supervised Learning for Accelerated Non-Cartesian MRI Reconstruction
While enabling accelerated acquisition and improved reconstruction accur...
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02/17/2023
High-frequency Matters: An Overwriting Attack and defense for Image-processing Neural Network Watermarking
In recent years, there has been significant advancement in the field of ...
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02/14/2023
Fast-MC-PET: A Novel Deep Learning-aided Motion Correction and Reconstruction Framework for Accelerated PET
Patient motion during PET is inevitable. Its long acquisition time not o...
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11/07/2022
Issues and Challenges in Applications of Artificial Intelligence to Nuclear Medicine – The Bethesda Report (AI Summit 2022)
The SNMMI Artificial Intelligence (SNMMI-AI) Summit, organized by the SN...
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09/14/2022
Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words
Prompt-based fine-tuning for pre-trained models has proven effective for...
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06/24/2022
Segmentation-free PVC for Cardiac SPECT using a Densely-connected Multi-dimensional Dynamic Network
In nuclear imaging, limited resolution causes partial volume effects (PV...
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06/13/2022
Unsupervised inter-frame motion correction for whole-body dynamic PET using convolutional long short-term memory in a convolutional neural network
Subject motion in whole-body dynamic PET introduces inter-frame mismatch...
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06/10/2022
Dual-Branch Squeeze-Fusion-Excitation Module for Cross-Modality Registration of Cardiac SPECT and CT
Single-photon emission computed tomography (SPECT) is a widely applied i...
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03/22/2022
Making DeepFakes more spurious: evading deep face forgery detection via trace removal attack
DeepFakes are raising significant social concerns. Although various Deep...
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01/28/2022
Label uncertainty-guided multi-stream model for disease screening
The annotation of disease severity for medical image datasets often reli...
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01/26/2022
DSFormer: A Dual-domain Self-supervised Transformer for Accelerated Multi-contrast MRI Reconstruction
Multi-contrast MRI (MC-MRI) captures multiple complementary imaging moda...
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07/22/2021
A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image
Optical Coherence Tomography Angiography (OCTA) is a non-invasive and no...
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07/12/2021
Anatomy-Constrained Contrastive Learning for Synthetic Segmentation without Ground-truth
A large amount of manual segmentation is typically required to train a r...
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04/14/2021
Anatomy-guided Multimodal Registration by Learning Segmentation without Ground Truth: Application to Intraprocedural CBCT/MR Liver Segmentation and Registration
Multimodal image registration has many applications in diagnostic medica...
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09/14/2020
Simultaneous Denoising and Motion Estimation for Low-dose Gated PET using a Siamese Adversarial Network with Gate-to-Gate Consistency Learning
Gating is commonly used in PET imaging to reduce respiratory motion blur...
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09/03/2020
Limited View Tomographic Reconstruction Using a Deep Recurrent Framework with Residual Dense Spatial-Channel Attention Network and Sinogram Consistency
Limited view tomographic reconstruction aims to reconstruct a tomographi...
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08/27/2020
Privacy Intelligence: A Survey on Image Sharing on Online Social Networks
Image sharing on online social networks (OSNs) has become an indispensab...
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09/03/2019