Yinhao Li
Orcid: 0000-0002-8924-5279
According to our database1,
Yinhao Li
authored at least 59 papers
between 2017 and 2024.
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Bibliography
2024
IEEE Trans. Parallel Distributed Syst., December, 2024
Segmentation Guided Crossing Dual Decoding Generative Adversarial Network for Synthesizing Contrast-Enhanced Computed Tomography Images.
IEEE J. Biomed. Health Informatics, August, 2024
Blockchain-Enabled Provenance Tracking for Sustainable Material Reuse in Construction Supply Chains.
Future Internet, April, 2024
IEEE Trans. Intell. Transp. Syst., February, 2024
IEEE Internet Comput., 2024
A motion-aware and temporal-enhanced Spatial-Temporal Graph Convolutional Network for skeleton-based human action segmentation.
Neurocomputing, 2024
LGA: A Language Guide Adapter for Advancing the SAM Model's Capabilities in Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the IEEE International Conference on Consumer Electronics, 2024
Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency, 2024
2023
Unsupervised MRI Super Resolution Using Deep External Learning and Guided Residual Dense Network With Multimodal Image Priors.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2023
Cross-modality Attention Adapter: A Glioma Segmentation Fine-tuning Method for SAM Using Multimodal Brain MR Images.
CoRR, 2023
BEVStereo++: Accurate Depth Estimation in Multi-view 3D Object Detection via Dynamic Temporal Stereo.
CoRR, 2023
A Spatial-Temporal Graph Convolutional Networks-based Approach for the OpenPack Challenge 2022.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2023
MSPA-DLA++: A Multi-Scale Phase Attention Deep Layer Aggregation for Lesion Detection in Multi-Phase CT Images.
Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023
A Self-Supervised Transformer-Based Model for Early Recurrence Prediction of HCC with Multimodal MRI.
Proceedings of the 12th IEEE Global Conference on Consumer Electronics, 2023
FreISH: A Database of Japanese Freshwater Fish in the Wild and Baseline Recognition Evaluations.
Proceedings of the 12th IEEE Global Conference on Consumer Electronics, 2023
A Multi-View Weighted Fusion Model for Segmentation of Infant Brain Ventricles with Hydrocephalus in MRI.
Proceedings of the 12th IEEE Global Conference on Consumer Electronics, 2023
Integrating Spatial Prior Adapter for Enhancing SAM Performance in Medical Image Segmentation.
Proceedings of the 12th IEEE Global Conference on Consumer Electronics, 2023
A Self-Attention Based Fusion Model of Radiomics and Deep Features for Early Recurrence Prediction in NSCLC.
Proceedings of the 12th IEEE Global Conference on Consumer Electronics, 2023
Spatial Attention-Guided Generative Adversarial Network for Synthesizing Contrast-enhanced Computed Tomography Images.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Multi-task Model for Glioma Segmentation and Isocitrate Dehydrogenase Status Prediction Using Global and Local Features.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Unsupervised Domain Adaptation Using Fourier Phase Enhanced Training Images for Liver Tumors Detection in Multi-phase CT Images.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Proceedings of the 19th IEEE International Conference on e-Science, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
BEVStereo: Enhancing Depth Estimation in Multi-View 3D Object Detection with Temporal Stereo.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Dynamic Bandwidth Slicing for Time-Critical IoT Data Streams in the Edge-Cloud Continuum.
IEEE Trans. Ind. Informatics, 2022
Sensors, 2022
A Fault-Tolerant Workflow Composition and Deployment Automation IoT Framework in a Multicloud Edge Environment.
IEEE Internet Comput., 2022
Super-Resolution Based Patch-Free 3D Medical Image Segmentation with Self-Supervised Guidance.
CoRR, 2022
BEVStereo: Enhancing Depth Estimation in Multi-view 3D Object Detection with Dynamic Temporal Stereo.
CoRR, 2022
Efficient and Accurate Hyperspectral Pansharpening Using 3D VolumeNet and 2.5D Texture Transfer.
CoRR, 2022
Deep Learning-based Risk Prediction Model for Recurrence-free Survival in Patients with Hepatocellular Carcinoma Using Multi-phase CT Image.
Proceedings of the 11th IEEE Global Conference on Consumer Electronics, 2022
Automatic Reference Image Selection Approach for Reference-Based Image Super-Resolution.
Proceedings of the 11th IEEE Global Conference on Consumer Electronics, 2022
Three Dimensional Microscope Image Super-resolution Using Deep Learning and Self-similarity.
Proceedings of the 11th IEEE Global Conference on Consumer Electronics, 2022
Residual Multilayer Perceptrons for Genotype-Guided Recurrence Prediction of Non-Small Cell Lung Cancer.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
A Transformer-Based Model for Preoperative Early Recurrence Prediction of Hepatocellular Carcinoma with Muti-modality MRI.
Proceedings of the Computer Vision - ACCV 2022 Workshops, 2022
2021
VolumeNet: A Lightweight Parallel Network for Super-Resolution of MR and CT Volumetric Data.
IEEE Trans. Image Process., 2021
Orchestrating the Development Lifecycle of Machine Learning-based IoT Applications: A Taxonomy and Survey.
ACM Comput. Surv., 2021
Int. J. Comput. Assist. Radiol. Surg., 2021
Proceedings of the 15th IEEE International Conference on Service-Oriented System Engineering, 2021
Patch-Free 3D Medical Image Segmentation Driven by Super-Resolution Technique and Self-Supervised Guidance.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
DeepACEv2: Automated Chromosome Enumeration in Metaphase Cell Images Using Deep Convolutional Neural Networks.
IEEE Trans. Medical Imaging, 2020
Novel image restoration method based on multi-frame super-resolution for atmospherically distorted images.
IET Image Process., 2020
VolumeNet: A Lightweight Parallel Network for Super-Resolution of Medical Volumetric Data.
CoRR, 2020
IoTWC: Analytic Hierarchy Process Based Internet of Things Workflow Composition System.
Proceedings of the 2020 IEEE International Conference on Cloud Engineering, 2020
Proceedings of the 9th IEEE Global Conference on Consumer Electronics, 2020
Parallel-Connected Residual Channel Attention Network for Remote Sensing Image Super-Resolution.
Proceedings of the Computer Vision - ACCV 2020 Workshops - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020
2019
IoT-CANE: A unified knowledge management system for data-centric Internet of Things application systems.
J. Parallel Distributed Comput., 2019
Orchestrating Development Lifecycle of Machine Learning Based IoT Applications: A Survey.
CoRR, 2019
A Cost-Efficient Multi-cloud Orchestrator for Benchmarking Containerized Web-Applications.
Proceedings of the Web Information Systems Engineering - WISE 2019, 2019
2018
Proceedings of the 2018 International Conference on High Performance Computing & Simulation, 2018
Multi-frame super resolution using frame selection and multiple fusion for 250 million pixel images.
Proceedings of the IEEE International Conference on Consumer Electronics, 2018
2017
IEEE Cloud Comput., 2017