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Uni-COAL: A unified framework for cross-modality synthesis and super-resolution of MR images
期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2025, 卷号: 270
作者:
Song, Zhiyun
Adobe PDF(20189Kb)
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收藏
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浏览/下载:105/11
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提交时间:2025/02/12
Dynamic contrast enhanced MRI
Image coding
Image enhancement
Image reconstruction
Neuroimaging
Cross modality
Cross-modality synthesis
MR-images
Performance
Shannon
Single-networks
Specific tasks
Stochastics
Superresolution
Unified framework
A Dual-Task Mutual Learning Framework for Predicting Post-thrombectomy Cerebral Hemorrhage
会议论文
LECTURE NOTES IN COMPUTER SCIENCE (INCLUDING SUBSERIES LECTURE NOTES IN ARTIFICIAL INTELLIGENCE AND LECTURE NOTES IN BIOINFORMATICS), Marrakesh, Morocco, October 10, 2024 - October 10, 2024
作者:
Jiang, Caiwen
;
Wang, Tianyu
;
Xing, Xiaodan
;
Liu, Mianxin
;
Yang, Guang
收藏
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浏览/下载:252/0
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提交时间:2024/11/08
Arthroplasty
Diagnosis
Attention mechanisms
Cerebral hemorrhage
Dual-task mutual learning
Dual-tasks
Haemorrage
Interactive attention
Mutual learning
Postoperative cerebral hemorrhage
Prediction of hemorrhage progression
Thrombectomy
Discriminative-Guided Diffusion-Based Self-supervised Monocular Depth Estimation
会议论文
LECTURE NOTES IN COMPUTER SCIENCE (INCLUDING SUBSERIES LECTURE NOTES IN ARTIFICIAL INTELLIGENCE AND LECTURE NOTES IN BIOINFORMATICS), Urumqi, China, October 18, 2024 - October 20, 2024
作者:
Liu, Runze
;
Zhang, Guanghui
;
Zhu, Dongchen
;
Wang, Lei
;
Zhang, Xiaolin
收藏
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浏览/下载:180/0
|
提交时间:2024/12/13
Generative adversarial networks
Image denoising
Semi-supervised learning
Critical tasks
Depth Estimation
Diffusion model
Discriminative networks
Estimation algorithm
High-accuracy
Modeling approach
Monocular depth estimation
Photometrics
Real-world scenario
Data-Aware Beamforming for Integrated Sensing and Communication Enabled AI Systems
期刊论文
IEEE WIRELESS COMMUNICATIONS LETTERS, 2025, 卷号: PP, 期号: 99
作者:
Juan Qin
;
Lixiang Lian
Adobe PDF(884Kb)
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收藏
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浏览/下载:64/12
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提交时间:2025/03/25
Adversarial machine learning
Contrastive Learning
Federated learning
Resource allocation
Artificial intelligence systems
Communicationtechnology
CRB
Integrated sensing
Integrated sensing and communication-enabled artificial intelligence
Learning tasks
Motion recognition
Performance tradeoff
Sensing technology
Sensory data
Dynamic Communication in Multi-Agent Reinforcement Learning via Information Bottleneck
会议论文
GLOBECOM 2024 - 2024 IEEE GLOBAL COMMUNICATIONS CONFERENCE, Cape Town, South Africa, 8-12 Dec. 2024
作者:
Jiawei You
;
Youlong Wu
;
Dingzhu Wen
;
Yong Zhou
;
Yuning Jiang
Adobe PDF(411Kb)
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收藏
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浏览/下载:341/5
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提交时间:2024/09/14
Adversarial machine learning
Information dissemination
Reinforcement learning
Communication overheads
Communication range
Cooperative tasks
Dynamic communication
Information bottleneck
Information sharing
Multi-agent reinforcement learning
Multiagent systems (MASs)
Reinforcement learning algorithms
Task performance
A multimodal machine learning model for the stratification of breast cancer risk
期刊论文
NATURE BIOMEDICAL ENGINEERING, 2024
作者:
Xuejun Qian
;
Jing Pei
;
Chunguang Han
;
Zhiying Liang
;
Gaosong Zhang
Adobe PDF(6081Kb)
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浏览/下载:454/10
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提交时间:2024/09/22
Contrastive Learning
Lung cancer
Mammography
Oncology
Pathology
Risk management
Ultrasonic imaging
Ultrasonic testing
Breast Cancer
Breast cancer risk
Cancer risk
Clinical practices
Clinical tasks
Machine learning models
Multi-modal
Multimodal models
Patient management
Work-flows
Multimodal Local Representation Learning For Multi-Task Blastocyst Assessment
会议论文
IEEE SYMPOSIUM ON BIOMEDICAL IMAGING 2024, Athens, Greece, 27-30 May 2024
作者:
Zhang J(张军)
;
Zheng BZ(郑博中)
;
Ni N(倪娜)
;
Tong GQ(童国庆)
;
Wu YN(武颖娜)
Adobe PDF(547Kb)
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收藏
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浏览/下载:538/7
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提交时间:2024/05/29
Adversarial machine learning
Cell culture
Contrastive Learning
Image representation
Image retrieval
Multi-task learning
Biomedical images
Blastocyst assessment
Image texts
Image-text retrieval
Learning frameworks
Multi tasks
Multi-modal
Multi-task model
Multimodal local representation
Text retrieval
A Comprehensive Review of Multimodal Large Language Models: Performance and Challenges Across Different Tasks
预印本
2024
作者:
Wang, Jiaqi
;
Jiang, Hanqi
;
Liu, Yiheng
;
Ma, Chong
;
Zhang, Xu
Adobe PDF(5706Kb)
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收藏
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浏览/下载:219/0
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提交时间:2024/08/14
MLLMs
Tasks
AI Applications
Fusion Techniques
MoME: Mixture-of-Masked-Experts for Efficient Multi-Task Recommendation
会议论文
SIGIR 2024 - PROCEEDINGS OF THE 47TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL, Washington, DC, United states, July 14, 2024 - July 18, 2024
作者:
Xu, Jiahui
;
Sun, Lu
;
Zhao, Dengji
Adobe PDF(1222Kb)
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收藏
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浏览/下载:331/3
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提交时间:2024/08/23
Coarse-grained modeling
Computational efficiency
Learning systems
Binary masks
Learning techniques
Mixture of experts
Model mixtures
Multi tasks
Multi-task recommendation
Multitask learning
Parameter sharing
Real-world datasets
Subnetworks
Fine-tuning large language models for chemical text mining
期刊论文
CHEMICAL SCIENCE, 2024, 卷号: 15, 期号: 27, 页码: 10600-10611
作者:
Zhang, Wei
;
Wang, Qinggong
;
Kong, Xiangtai
;
Xiong, Jiacheng
;
Ni, Shengkun
Adobe PDF(4746Kb)
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收藏
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浏览/下载:204/1
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提交时间:2024/06/24
Computational linguistics
Data acquisition
Data mining
Extraction
Knowledge management
Nuclear magnetic resonance spectroscopy
Organometallics
Computational chemists
Entity recognition
Fine tuning
Labelings
Language model
Metalorganic frameworks (MOFs)
Mining tasks
Power
Scientific literature
Text-mining
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