World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
64
Citations
14808
World Ranking
3268
National Ranking
1515

Computer Science

D-Index
62
Citations
15094
World Ranking
2904
National Ranking
1428

Overview

Tianming Liu is affiliated with the University of Georgia in the United States and has contributed extensively to interdisciplinary research spanning Medicine, Computer Science, and Neuroscience. Their work integrates themes from cognitive neuroscience, artificial intelligence, and medical imaging, supporting advancements in both theoretical understanding and practical applications.

Their research focuses on several specialized fields, including:

  • Cognitive Neuroscience
  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging
  • Computer Vision and Pattern Recognition
  • Health Informatics

Tianming Liu's scholarship addresses a range of topics, particularly in brain functionality and medical imaging technologies, covering:

  • Functional Brain Connectivity Studies
  • Topic Modeling
  • Advanced Neuroimaging Techniques and Applications
  • Neural dynamics and brain function
  • Artificial Intelligence in Healthcare and Education
  • EEG and Brain-Computer Interfaces
  • Advanced MRI Techniques and Applications

Recent publications illustrate Liu's engagement with contemporary computational and biomedical challenges. Selected papers include:

  • Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models, 2023, Meta-Radiology
  • Detection and Analysis of Microplastics in Human Sputum, 2022, Environmental Science & Technology
  • Review of large vision models and visual prompt engineering, 2023, Meta-Radiology
  • A generalist vision-language foundation model for diverse biomedical tasks, 2024, Nature Medicine
  • Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models, 2023, arXiv (Cornell University)

Their frequent coauthors reflect active collaboration within the scientific community. Key collaborators include:

  • Dajiang Zhu
  • Zhengliang Liu
  • Tuo Zhang
  • Lin Zhao
  • Xi Jiang

Publication venues for Tianming Liu's work reveal a strong presence in both traditional and open-access platforms, with multiple contributions in:

  • arXiv (Cornell University)
  • Medical Image Analysis
  • UNC Libraries
  • SSRN Electronic Journal
  • Meta-Radiology

Best Publications

  • Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models

    Unknown

  • A survey of MRI-based brain tumor segmentation methods

    Jin Liu;Min Li;Jianxin Wang;Fangxiang Wu

  • Review of methods for functional brain connectivity detection using fMRI

    Kaiming Li;Lei Guo;Jingxin Nie;Gang Li

  • Mutations in LRP2 , which encodes the multiligand receptor megalin, cause Donnai-Barrow and facio-oculo-acoustico-renal syndromes

    Sibel Kantarci;Lihadh Al-Gazali;R Sean Hill;R Sean Hill;Dian Donnai

  • A novel video key-frame-extraction algorithm based on perceived motion energy model

    Tianming Liu;Hong-Jiang Zhang;Feihu Qi

  • Predicting eye fixations using convolutional neural networks

    Nian Liu;Junwei Han;Dingwen Zhang;Shifeng Wen

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

    Jinglei Lv;Xi Jiang;Xiang Li;Dajiang Zhu

  • Neurochemical regulation of the expression and function of glial fibrillary acidic protein in astrocytes

    Unknown

  • 3D cell nuclei segmentation based on gradient flow tracking.

    Gang Li;Gang Li;Tianming Liu;Tianming Liu;Ashley Tarokh;Ashley Tarokh;Jingxin Nie;Jingxin Nie

  • Representing and Retrieving Video Shots in Human-Centric Brain Imaging Space

    Junwei Han;Xiang Ji;Xintao Hu;Dajiang Zhu

  • Modeling Task fMRI Data Via Deep Convolutional Autoencoder

    Heng Huang;Xintao Hu;Yu Zhao;Milad Makkie

  • Evaluating large language models on a highly-specialized topic, radiation oncology physics

    Unknown

  • DICCCOL: Dense Individualized and Common Connectivity-Based Cortical Landmarks

    Dajiang Zhu;Kaiming Li;Kaiming Li;Lei Guo;Xi Jiang

  • Brain tissue segmentation based on DTI data.

    Tianming Liu;Hai Li;Hai Li;Hai Li;Kelvin K. Wong;Kelvin K. Wong;Ashley Tarokh

  • Zebrafish lacking Alzheimer presenilin enhancer 2 (Pen-2) demonstrate excessive p53-dependent apoptosis and neuronal loss.

    William A. Campbell;Hongwei Yang;Henrik Zetterberg;Stéphanie Baulac

  • ChatAug: Leveraging ChatGPT for Text Data Augmentation

    Unknown

  • Resting State Functional Connectivity in Mild Traumatic Brain Injury at the Acute Stage: Independent Component and Seed-Based Analyses

    Armin Iraji;Randall R. Benson;Robert D. Welch;Brian J. O'Neil

  • Dynamic functional connectomics signatures for characterization and differentiation of PTSD patients.

    Xiang Li;Dajiang Zhu;Xi Jiang;Changfeng Jin

  • Holistic Atlases of Functional Networks and Interactions Reveal Reciprocal Organizational Architecture of Cortical Function

    Jinglei Lv;Xi Jiang;Xiang Li;Dajiang Zhu

  • Fusing DTI and fMRI data: A survey of methods and applications

    Dajiang Zhu;Tuo Zhang;Xi Jiang;Xintao Hu

  • Deformable registration of cortical structures via hybrid volumetric and surface warping.

    Tianming Liu;Dinggang Shen;Christos Davatzikos

  • Axonal Fiber Terminations Concentrate on Gyri

    Jingxin Nie;Lei Guo;Kaiming Li;Kaiming Li;Yonghua Wang

  • Streaming Methods and Systems

    Tianming Liu;Hong-Jiang Zhang;Wei Qi

  • Two-Stage Learning to Predict Human Eye Fixations via SDAEs

    Junwei Han;Dingwen Zhang;Shifeng Wen;Lei Guo

Frequent Co-Authors

Lei Guo
Lei Guo Beijing University of Posts and Telecommunications
Xintao Hu
Xintao Hu Northwestern Polytechnical University
Junwei Han
Junwei Han Northwestern Polytechnical University
Dajiang Zhu
Dajiang Zhu The University of Texas at Arlington
Kaiming Li
Kaiming Li Sichuan University
Gang Li
Gang Li University of North Carolina at Chapel Hill
Stephen T. C. Wong
Stephen T. C. Wong Houston Methodist
Dinggang Shen
Dinggang Shen ShanghaiTech University
Xiaoping Hu
Xiaoping Hu University of California, Riverside
L. Stephen Miller
L. Stephen Miller University of Georgia

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