Xiang Li

Orcid: 0000-0002-9851-6376

Affiliations:

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 124 papers between 2011 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of two.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Structure Mapping Generative Adversarial Network for Multi-View Information Mapping Pattern Mining.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., April, 2024

Instruction-ViT: Multi-modal prompts for instruction learning in vision transformer.

[BibT_eX]

[DOI]

Inf. Fusion, April, 2024

Conditional Score-Based Diffusion Model for Cortical Thickness Trajectory Prediction.

[BibT_eX]

[DOI]

CoRR, 2024

Reasoning before Comparison: LLM-Enhanced Semantic Similarity Metrics for Domain Specialized Text Analysis.

[BibT_eX]

[DOI]

CoRR, 2024

The Radiation Oncology NLP Database.

[BibT_eX]

[DOI]

CoRR, 2024

TrustLLM: Trustworthiness in Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Large Language Models for Robotics: Opportunities, Challenges, and Perspectives.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Holistic Evaluation of GPT-4V for Biomedical Imaging.

[BibT_eX]

[DOI]

CoRR, 2023

APP-RUSS: Automated Path Planning for Robotic Ultrasound System.

[BibT_eX]

[DOI]

CoRR, 2023

ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Report Generation Based on Multi-institution and Multi-system Data.

[BibT_eX]

[DOI]

CoRR, 2023

MedEdit: Model Editing for Medical Question Answering with External Knowledge Bases.

[BibT_eX]

[DOI]

CoRR, 2023

PolicyGPT: Automated Analysis of Privacy Policies with Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

RadOnc-GPT: A Large Language Model for Radiation Oncology.

[BibT_eX]

[DOI]

CoRR, 2023

MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

Radiology-Llama2: Best-in-Class Large Language Model for Radiology.

[BibT_eX]

[DOI]

CoRR, 2023

Evaluating Large Language Models for Radiology Natural Language Processing.

[BibT_eX]

[DOI]

CoRR, 2023

CohortGPT: An Enhanced GPT for Participant Recruitment in Clinical Study.

[BibT_eX]

[DOI]

CoRR, 2023

Exploring Multimodal Approaches for Alzheimer's Disease Detection Using Patient Speech Transcript and Audio Data.

[BibT_eX]

[DOI]

CoRR, 2023

Identification of Causal Relationship between Amyloid-beta Accumulation and Alzheimer's Disease Progression via Counterfactual Inference.

[BibT_eX]

[DOI]

CoRR, 2023

SAMAug: Point Prompt Augmentation for Segment Anything Model.

[BibT_eX]

[DOI]

CoRR, 2023

Review of Large Vision Models and Visual Prompt Engineering.

[BibT_eX]

[DOI]

CoRR, 2023

Segment Anything Model (SAM) for Radiation Oncology.

[BibT_eX]

[DOI]

CoRR, 2023

AD-AutoGPT: An Autonomous GPT for Alzheimer's Disease Infodemiology.

[BibT_eX]

[DOI]

CoRR, 2023

Radiology-GPT: A Large Language Model for Radiology.

[BibT_eX]

[DOI]

CoRR, 2023

Artificial General Intelligence for Medical Imaging.

[BibT_eX]

[DOI]

CoRR, 2023

BiomedGPT: A Unified and Generalist Biomedical Generative Pre-trained Transformer for Vision, Language, and Multimodal Tasks.

[BibT_eX]

[DOI]

CoRR, 2023

ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs.

[BibT_eX]

[DOI]

CoRR, 2023

Instruction-ViT: Multi-Modal Prompts for Instruction Learning in ViT.

[BibT_eX]

[DOI]

CoRR, 2023

Prompt Engineering for Healthcare: Methodologies and Applications.

[BibT_eX]

[DOI]

CoRR, 2023

Differentiate ChatGPT-generated and Human-written Medical Texts.

[BibT_eX]

[DOI]

CoRR, 2023

ChatABL: Abductive Learning via Natural Language Interaction with ChatGPT.

[BibT_eX]

[DOI]

CoRR, 2023

Exploring the Trade-Offs: Unified Large Language Models vs Local Fine-Tuned Models for Highly-Specific Radiology NLI Task.

[BibT_eX]

[DOI]

CoRR, 2023

ImpressionGPT: An Iterative Optimizing Framework for Radiology Report Summarization with ChatGPT.

[BibT_eX]

[DOI]

CoRR, 2023

Evaluating Large Language Models on a Highly-specialized Topic, Radiation Oncology Physics.

[BibT_eX]

[DOI]

CoRR, 2023

Summary of ChatGPT/GPT-4 Research and Perspective Towards the Future of Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

When Brain-inspired AI Meets AGI.

[BibT_eX]

[DOI]

CoRR, 2023

DeID-GPT: Zero-shot Medical Text De-Identification by GPT-4.

[BibT_eX]

[DOI]

CoRR, 2023

ChatAug: Leveraging ChatGPT for Text Data Augmentation.

[BibT_eX]

[DOI]

CoRR, 2023

Mask-guided BERT for Few Shot Text Classification.

[BibT_eX]

[DOI]

CoRR, 2023

Tailoring Large Language Models to Radiology: A Preliminary Approach to LLM Adaptation for a Highly Specialized Domain.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Graph-Based Counterfactual Causal Inference Modeling for Neuroimaging Analysis.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Jerome Charton

Hui Ren

Sekeun Kim

Carola Maraboto Gonzalez

Proceedings of the Simplifying Medical Ultrasound - 4th International Workshop, 2023

ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

Multimodal Approaches for Alzheimer's Detection Using Patients' Speech and Transcript.

[BibT_eX]

[DOI]

Proceedings of the Brain Informatics - 16th International Conference, 2023

Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training.

[BibT_eX]

[DOI]

CoRR, 2022

ClinicalRadioBERT: Knowledge-Infused Few Shot Learning for Clinical Notes Named Entity Recognition.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2021

Deep metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-19.

[BibT_eX]

[DOI]

Medical Image Anal., 2021

Development and Validation of a Deep Learning Model for Prediction of Severe Outcomes in Suspected COVID-19 Infection.

[BibT_eX]

[DOI]

Varun Buch

Aoxiao Zhong

Xiang Li

Marcio Aloisio Bezerra Cavalcanti Rockenbach

CoRR, 2021

Using Keystroke Analytics to Understand Cognitive Processes during Writing.

[BibT_eX]

Mo Zhang

Hongwen Guo

Xiang Li

Proceedings of the 14th International Conference on Educational Data Mining, 2021

2020

Automated Semantic Segmentation of Red Blood Cells for Sickle Cell Disease.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2020

Four-Dimensional Modeling of fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNNs).

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Dev. Syst., 2020

Sparse Representation-Based Denoising for High-Resolution Brain Activation and Functional Connectivity Modeling: A Task fMRI Study.

[BibT_eX]

[DOI]

IEEE Access, 2020

Spatiotemporal Attention Autoencoder (STAAE) for ADHD Classification.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Discovering Functional Brain Networks with 3D Residual Autoencoder (ResAE).

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

A Novel fMRI Representation Learning Framework with GAN.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

ASCNET: Adaptive-Scale Convolutional Neural Networks for Multi-Scale Feature Learning.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Efficient Classification via Partial Co-Training for Virtual Metrology.

[BibT_eX]

[DOI]

Proceedings of the 25th IEEE International Conference on Emerging Technologies and Factory Automation, 2020

Multi-label Detection and Classification of Red Blood Cells in Microscopic Images.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Experimental Comparisons of Sparse Dictionary Learning and Independent Component Analysis for Brain Network Inference From fMRI Data.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2019

A Distributed Computing Platform for fMRI Big Data Analytics.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, 2019

Functional Neuroimaging in the New Era of Big Data.

[BibT_eX]

[DOI]

Xiang Li

Ning Guo

Quanzheng Li

Genom. Proteom. Bioinform., 2019

Consensus Neural Network for Medical Imaging Denoising with Only Noisy Training Samples.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Novel Radiomic Features Based on Graph Theory for PET Image Analysis.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Predicting Alzheimer's Disease by Hierarchical Graph Convolution from Positron Emission Tomography Imaging.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Temporal Dynamics Assessment of Spatial Overlap Pattern of Functional Brain Networks Reveals Novel Functional Architecture of Cerebral Cortex.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2018

Spatio-temporal modeling of connectome-scale brain network interactions via time-evolving graphs.

[BibT_eX]

[DOI]

NeuroImage, 2018

A Dictionary Learning Approach for Signal Sampling in Task-Based fMRI for Reduction of Big Data.

[BibT_eX]

[DOI]

Frontiers Neuroinformatics, 2018

Network Modeling and Pathway Inference from Incomplete Data ("PathInf").

[BibT_eX]

[DOI]

CoRR, 2018

Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN).

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

RBC Semantic Segmentation for Sickle Cell Disease Based on Deformable U-Net.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Multi-estimator Full Left Ventricle Quantification Through Ensemble Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Neuroinformatics, 2017

Medical Image Segmentation Based on Multi-Modal Convolutional Neural Network: Study on Image Fusion Schemes.

[BibT_eX]

[DOI]

CoRR, 2017

Image Segmentation and Classification for Sickle Cell Disease using Deformable U-Net.

[BibT_eX]

[DOI]

CoRR, 2017

Distributed rank-1 dictionary learning: Towards fast and scalable solutions for fMRI big data analytics.

[BibT_eX]

[DOI]

CoRR, 2017

Self-paced Convolutional Neural Network for Computer Aided Detection in Medical Imaging Analysis.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

Template-guided Functional Network Identification via Supervised Dictionary Learning.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Exploring human brain activation via nested sparse coding and functional operators.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Xiang Li

PhD thesis, 2016

Predicting Movie Trailer Viewer's "Like/Dislike" via Learned Shot Editing Patterns.

[BibT_eX]

[DOI]

IEEE Trans. Affect. Comput., 2016

Discover Mouse Gene Coexpression Landscape Using Dictionary Learning and Sparse Coding.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Modeling Functional Dynamics of Cortical Gyri and Sulci.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Scalable Fast Rank-1 Dictionary Learning for fMRI Big Data Analysis.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Modeling functional network dynamics via multi-scale dictionary learning and network continuums.

[BibT_eX]

[DOI]

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Multple-demand system identification and characterization via sparse representations of fMRI data.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2015

Sparse representation of whole-brain fMRI signals for identification of functional networks.

[BibT_eX]

[DOI]

Medical Image Anal., 2015

HAFNI-enabled largescale platform for neuroimaging informatics (HELPNI).

[BibT_eX]

[DOI]

Brain Informatics, 2015

Characterizing and differentiating task-based and resting state FMRI signals via two-stage dictionary learning.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Interactive exemplar-based segmentation toolkit for biomedical image analysis.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Signal sampling for efficient sparse representation of resting state FMRI data.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Dynamic Bayesian brain network partition and connectivity change point detection.

[BibT_eX]

[DOI]

Proceedings of the 5th IEEE International Conference on Computational Advances in Bio and Medical Sciences, 2015

2014

Sparse representation of working memory processes based on fMRI data.

[BibT_eX]

[DOI]

Dajiang Zhu

Xiang Li

Tianming Liu

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Learning fMRI-guided predictor of video shot changes.

[BibT_eX]

[DOI]

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Exploring consistent functional brain networks during free viewing of videos via sparse representation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Dynamic network partition via Bayesian connectivity bi-partition change point model.

[BibT_eX]

[DOI]

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Exploring functional brain dynamics via a Bayesian connectivity change point model.

[BibT_eX]

[DOI]

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Generalized fMRI activation detection via Bayesian magnitude change point model.

[BibT_eX]

[DOI]

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Discovering network-level functional interactions from working memory fMRI data.

[BibT_eX]

[DOI]

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013

Detecting Brain State Changes via Fiber-Centered Functional Connectivity Analysis.

[BibT_eX]

[DOI]

Neuroinformatics, 2013

Characterization of task-free and task-performance brain states via functional connectome patterns.

[BibT_eX]

[DOI]

Medical Image Anal., 2013

Sparse Representation of Higher-Order Functional Interaction Patterns in Task-Based FMRI Data.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Sparse Representation of Group-Wise FMRI Signals.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Modeling Dynamic Functional Information Flows on Large-Scale Brain Networks.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Activated cliques: Network-based activation detection in task-based FMRI.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Identifying functional connectomics abnormality in attention deficit hyperactivity disorder.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Discovering common functional connectomics signatures.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Exploring High-Order Functional Interactions via Structurally-Weighted LASSO Models.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2013

2012

Inferring consistent functional interaction patterns from natural stimulus FMRI data.

[BibT_eX]

[DOI]

NeuroImage, 2012

Characterization of Task-Free/Task-Performance Brain States.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

2011

Fiber-Centered Granger Causality Analysis.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Brain state change detection via fiber-centered functional connectivity analysis.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Xiang Li

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