Xiang Li
Orcid: 0000-0002-9851-6376Affiliations:
- Massachusetts General Hospital, Boston, MA, USA
- University of Georgia, Department of Computer Science and Bioimaging Research Center, Athens, GA, USA (PhD 2016)
According to our database1,
Xiang Li
authored at least 176 papers
between 2011 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
CE-GAN: Community Evolutionary Generative Adversarial Network for Alzheimer's Disease Risk Prediction.
IEEE Trans. Medical Imaging, November, 2024
MH2AFormer: An Efficient Multiscale Hierarchical Hybrid Attention With a Transformer for Bladder Wall and Tumor Segmentation.
IEEE J. Biomed. Health Informatics, August, 2024
IEEE Trans. Artif. Intell., August, 2024
Structure Mapping Generative Adversarial Network for Multi-View Information Mapping Pattern Mining.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2024
Inf. Fusion, April, 2024
Modeling default mode network patterns via a universal spatio-temporal brain attention skip network.
NeuroImage, February, 2024
Medical Image Anal., 2024
Knowl. Based Syst., 2024
High-Fidelity 3D Lung CT Synthesis in ARDS Swine Models Using Score-Based 3D Residual Diffusion Models.
CoRR, 2024
Retrieval Instead of Fine-tuning: A Retrieval-based Parameter Ensemble for Zero-shot Learning.
CoRR, 2024
EG-SpikeFormer: Eye-Gaze Guided Transformer on Spiking Neural Networks for Medical Image Analysis.
CoRR, 2024
Mixture of Multicenter Experts in Multimodal Generative AI for Advanced Radiotherapy Target Delineation.
CoRR, 2024
TTT-Unet: Enhancing U-Net with Test-Time Training Layers for Biomedical Image Segmentation.
CoRR, 2024
CoRR, 2024
Cardiac Magnetic Resonance 2D+T Short- and Long-axis Segmentation via Spatio-temporal SAM Adaptation.
CoRR, 2024
Reasoning before Comparison: LLM-Enhanced Semantic Similarity Metrics for Domain Specialized Text Analysis.
CoRR, 2024
CoRR, 2024
Motion correction and super-resolution for multi-slice cardiac magnetic resonance imaging via an end-to-end deep learning approach.
Comput. Medical Imaging Graph., 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Conditional Score-Based Diffusion Model for Cortical Thickness Trajectory Prediction.
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
Cache-Driven Spatial Test-Time Adaptation for Cross-Modality Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Diffusion-Enhanced Transformation Consistency Learning for Retinal Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
F2TNet: FMRI to T1w MRI Knowledge Transfer Network for Brain Multi-phenotype Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Medical Image Synthesis via Fine-Grained Image-Text Alignment and Anatomy-Pathology Prompting.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Temporal-Spatial Adaptation of Promptable SAM Enhance Accuracy and Generalizability of Cine CMR Segmentation.
Proceedings of the Foundation Models for General Medical AI, 2024
High-Resolution 3d Ct Synthesis From Bidirectional X-Ray Images Using 3d Diffusion Model.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Learning Dynamic Brain Connectome with Graph Transformers for Psychiatric Diagnosis Classification.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Motion Correction and Super-Resolution for Multi-slice Cardiac Magnetic Resonance Imaging via a Multi-stage Deep Learning Approach.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Fine-Grained Image-Text Alignment in Medical Imaging Enables Explainable Cyclic Image-Report Generation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
Large-scale Graph Representation Learning of Dynamic Brain Connectome with Transformers.
CoRR, 2023
Fine-Grained Image-Text Alignment in Medical Imaging Enables Cyclic Image-Report Generation.
CoRR, 2023
CoRR, 2023
ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Report Generation Based on Multi-institution and Multi-system Data.
CoRR, 2023
CoRR, 2023
CoRR, 2023
CoRR, 2023
Exploring Multimodal Approaches for Alzheimer's Disease Detection Using Patient Speech Transcript and Audio Data.
CoRR, 2023
Identification of Causal Relationship between Amyloid-beta Accumulation and Alzheimer's Disease Progression via Counterfactual Inference.
CoRR, 2023
BiomedGPT: A Unified and Generalist Biomedical Generative Pre-trained Transformer for Vision, Language, and Multimodal Tasks.
CoRR, 2023
ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs.
CoRR, 2023
CoRR, 2023
Exploring the Trade-Offs: Unified Large Language Models vs Local Fine-Tuned Models for Highly-Specific Radiology NLI Task.
CoRR, 2023
ImpressionGPT: An Iterative Optimizing Framework for Radiology Report Summarization with ChatGPT.
CoRR, 2023
Evaluating Large Language Models on a Highly-specialized Topic, Radiation Oncology Physics.
CoRR, 2023
Summary of ChatGPT/GPT-4 Research and Perspective Towards the Future of Large Language Models.
CoRR, 2023
MM-SFENet: Multi-scale Multi-task Localization and Classification of Bladder Cancer in MRI with Spatial Feature Encoder Network.
CoRR, 2023
Tailoring Large Language Models to Radiology: A Preliminary Approach to LLM Adaptation for a Highly Specialized Domain.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
STAGE Challenge: Structural-Functional Transition in Glaucoma Assessment Challenge in MICCAI 2023.
Proceedings of the Ophthalmic Medical Image Analysis - 10th International Workshop, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023
Multi-task Learning for Hierarchically-Structured Images: Study on Echocardiogram View Classification.
Proceedings of the Simplifying Medical Ultrasound - 4th International Workshop, 2023
ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs.
Proceedings of the IEEE International Conference on Data Mining, 2023
Multimodal Approaches for Alzheimer's Detection Using Patients' Speech and Transcript.
Proceedings of the Brain Informatics - 16th International Conference, 2023
Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
MPANet: Multi-scale Pyramid Attention Network for Collaborative Modeling Spatio-Temporal Patterns of Default Mode Network.
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023
2022
Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training.
CoRR, 2022
ClinicalRadioBERT: Knowledge-Infused Few Shot Learning for Clinical Notes Named Entity Recognition.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022
View Classification of Color Doppler Echocardiography via Automatic Alignment Between Doppler and B-Mode Imaging.
Proceedings of the Simplifying Medical Ultrasound - Third International Workshop, 2022
2021
Left Ventricle Quantification Challenge: A Comprehensive Comparison and Evaluation of Segmentation and Regression for Mid-Ventricular Short-Axis Cardiac MR Data.
IEEE J. Biomed. Health Informatics, 2021
A deep semantic segmentation correction network for multi-model tiny lesion areas detection.
BMC Medical Informatics Decis. Mak., 2021
Deep metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-19.
Medical Image Anal., 2021
Development and Validation of a Deep Learning Model for Prediction of Severe Outcomes in Suspected COVID-19 Infection.
CoRR, 2021
Using Keystroke Analytics to Understand Cognitive Processes during Writing.
Proceedings of the 14th International Conference on Educational Data Mining, 2021
2020
IEEE J. Biomed. Health Informatics, 2020
Four-Dimensional Modeling of fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNNs).
IEEE Trans. Cogn. Dev. Syst., 2020
MMCL-Net: Spinal disease diagnosis in global mode using progressive multi-task joint learning.
Neurocomputing, 2020
Sparse Representation-Based Denoising for High-Resolution Brain Activation and Functional Connectivity Modeling: A Task fMRI Study.
IEEE Access, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
ASCNET: Adaptive-Scale Convolutional Neural Networks for Multi-Scale Feature Learning.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Proceedings of the 11th International Conference on Awareness Science and Technology, 2020
MwoA auxiliary diagnosis via RSN-based 3D deep multiple instance learning with spatial attention mechanism.
Proceedings of the 11th International Conference on Awareness Science and Technology, 2020
Proceedings of the 25th IEEE International Conference on Emerging Technologies and Factory Automation, 2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
ConvLab-2: An Open-Source Toolkit for Building, Evaluating, and Diagnosing Dialogue Systems.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020
2019
Experimental Comparisons of Sparse Dictionary Learning and Independent Component Analysis for Brain Network Inference From fMRI Data.
IEEE Trans. Biomed. Eng., 2019
IEEE Trans. Big Data, 2019
Consensus Neural Network for Medical Imaging Denoising with Only Noisy Training Samples.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Automated Segmentation Of Cervical Nuclei In Pap Smear Images Using Deformable Multi-Path Ensemble Model.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Multi-Size Computer-Aided Diagnosis Of Positron Emission Tomography Images Using Graph Convolutional Networks.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
3D Regional Shape Analysis of Left Ventricle Using MR Images: Abnormal Myocadium Detection and Classification.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Predicting Alzheimer's Disease by Hierarchical Graph Convolution from Positron Emission Tomography Imaging.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
2018
Temporal Dynamics Assessment of Spatial Overlap Pattern of Functional Brain Networks Reveals Novel Functional Architecture of Cerebral Cortex.
IEEE Trans. Biomed. Eng., 2018
Spatio-temporal modeling of connectome-scale brain network interactions via time-evolving graphs.
NeuroImage, 2018
A Dictionary Learning Approach for Signal Sampling in Task-Based fMRI for Reduction of Big Data.
Frontiers Neuroinformatics, 2018
Modal Decoupled Dynamics-Velocity Feed-Forward Motion Control of Multi-DOF Robotic Spine Brace.
IEEE Access, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018
Medical image segmentation based on multi-modal convolutional neural network: Study on image fusion schemes.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
Transcriptome Architecture of Adult Mouse Brain Revealed by Sparse Coding of Genome-Wide In Situ Hybridization Images.
Neuroinformatics, 2017
Medical Image Segmentation Based on Multi-Modal Convolutional Neural Network: Study on Image Fusion Schemes.
CoRR, 2017
Image Segmentation and Classification for Sickle Cell Disease using Deformable U-Net.
CoRR, 2017
Distributed rank-1 dictionary learning: Towards fast and scalable solutions for fMRI big data analytics.
CoRR, 2017
Self-paced Convolutional Neural Network for Computer Aided Detection in Medical Imaging Analysis.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017
Dictionary Learning and Sparse Coding-Based Denoising for High-Resolution Task Functional Connectivity MRI Analysis.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017
Template-guided Functional Network Identification via Supervised Dictionary Learning.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
2016
Machine learning approaches towards holistic brain functional space discovery from fMRI big data.
PhD thesis, 2016
IEEE Trans. Affect. Comput., 2016
Discover Mouse Gene Coexpression Landscape Using Dictionary Learning and Sparse Coding.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Identifying group-wise consistent sub-networks via spatial sparse representation of natural stimulus FMRI data.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Modeling functional network dynamics via multi-scale dictionary learning and network continuums.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Multple-demand system identification and characterization via sparse representations of fMRI data.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Implementing dictionary learning in Apache Flink, Or: How I learned to relax and love iterations.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016
Distributed rank-1 dictionary learning: Towards fast and scalable solutions for fMRI big data analytics.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016
2015
Holistic Atlases of Functional Networks and Interactions Reveal Reciprocal Organizational Architecture of Cortical Function.
IEEE Trans. Biomed. Eng., 2015
Sparse representation of whole-brain fMRI signals for identification of functional networks.
Medical Image Anal., 2015
Brain Informatics, 2015
Characterizing and differentiating task-based and resting state FMRI signals via two-stage dictionary learning.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Proceedings of the 5th IEEE International Conference on Computational Advances in Bio and Medical Sciences, 2015
2014
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Exploring consistent functional brain networks during free viewing of videos via sparse representation.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Detecting cell assembly interaction patterns via Bayesian based change-point detection and graph inference model.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
2013
Neuroinformatics, 2013
Characterization of task-free and task-performance brain states via functional connectome patterns.
Medical Image Anal., 2013
Sparse Representation of Higher-Order Functional Interaction Patterns in Task-Based FMRI Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Identifying functional connectomics abnormality in attention deficit hyperactivity disorder.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Proceedings of the Information Processing in Medical Imaging, 2013
2012
Inferring consistent functional interaction patterns from natural stimulus FMRI data.
NeuroImage, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
2011
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011