World's Best Scientists 2026 revealed!

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Computer Science

D-Index
49
Citations
14194
World Ranking
5773
National Ranking
2624

Overview

Quanzheng Li is affiliated with Harvard University in the United States, focusing primarily on research at the intersection of medicine and computer science. Their scholarly work encompasses a significant number of publications specializing in medical imaging, radiology, artificial intelligence, and health informatics.

The main fields of study for Quanzheng Li include:

  • Medicine
  • Computer Science

Within these broad fields, their work spans several subfields such as:

  • Radiology, Nuclear Medicine and Imaging
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Health Informatics
  • Biomedical Engineering

Key research topics frequently addressed in their work are:

  • Radiomics and Machine Learning in Medical Imaging
  • Medical Imaging Techniques and Applications
  • Artificial Intelligence in Healthcare and Education
  • Topic Modeling
  • COVID-19 diagnosis using AI
  • Advanced MRI Techniques and Applications
  • Medical Image Segmentation Techniques

Quanzheng Li has authored papers published in venues such as:

  • arXiv (Cornell University)
  • Physics in Medicine and Biology
  • IEEE Transactions on Medical Imaging
  • Medical Physics
  • Medical Image Analysis

Recent notable papers include:

  • "Federated learning for predicting clinical outcomes in patients with COVID-19," 2021, Nature Medicine
  • "Personalized iPSC-Derived Dopamine Progenitor Cells for Parkinson's Disease," 2020, New England Journal of Medicine
  • "A generalist vision-language foundation model for diverse biomedical tasks," 2024, Nature Medicine
  • "MA-SAM: Modality-agnostic SAM adaptation for 3D medical image segmentation," 2024, Medical Image Analysis
  • "PET image denoising based on denoising diffusion probabilistic model," 2023, European Journal of Nuclear Medicine and Molecular Imaging

Quanzheng Li has collaborated extensively with coauthors including:

  • Xiang Li
  • Tianming Liu
  • Dufan Wu
  • Zhengliang Liu
  • Dajiang Zhu

Additionally, Quanzheng Li has contributed to book publications with Springer Science+Business Media, with titles including:

  • Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops (2023)
  • Multiscale Multimodal Medical Imaging (2022)
  • Multimodal Learning for Clinical Decision Support (2021)

Best Publications

  • Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer.

    Babak Ehteshami Bejnordi;Mitko Veta;Paul Johannes van Diest;Bram van Ginneken

  • Artificial Intelligence and Machine Learning in Radiology: Opportunities, Challenges, Pitfalls, and Criteria for Success

    James H. Thrall;Xiang Li;Quanzheng Li;Cinthia Cruz

  • Federated learning for predicting clinical outcomes in patients with COVID-19.

    Ittai Dayan;Holger R. Roth;Aoxiao Zhong;Ahmed Harouni

  • From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge

    Peter Bandi;Oscar Geessink;Quirine Manson;Marcory Van Dijk

  • Deep Learning-Based Image Segmentation on Multimodal Medical Imaging

    Zhe Guo;Xiang Li;Heng Huang;Ning Guo

  • Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations

    Yiping Lu;Aoxiao Zhong;Quanzheng Li;Quanzheng Li;Bin Dong

  • PET Image Reconstruction Using Deep Image Prior

    Kuang Gong;Ciprian Catana;Jinyi Qi;Quanzheng Li

  • Iterative PET Image Reconstruction Using Convolutional Neural Network Representation

    Kuang Gong;Jiahui Guan;Kyungsang Kim;Xuezhu Zhang

  • PET image denoising using unsupervised deep learning

    Jianan Cui;Kuang Gong;Ning Guo;Chenxi Wu

  • Early Diagnosis of Alzheimer's Disease Based on Resting-State Brain Networks and Deep Learning

    Ronghui Ju;Chenhui Hu;Pan Zhou;Quanzheng Li

  • Iterative Low-Dose CT Reconstruction With Priors Trained by Artificial Neural Network

    Dufan Wu;Kyungsang Kim;Georges El Fakhri;Quanzheng Li

  • A generalist vision-language foundation model for diverse biomedical tasks.

    Unknown

  • Optimization and performance evaluation of the microPET II scanner for in vivo small-animal imaging.

    Yongfeng Yang;Yuan Chuan Tai;Stefan Siegel;Danny F. Newport

  • Exercise Elevates Dopamine D2 Receptor in a Mouse Model of Parkinson’s Disease: In Vivo Imaging with [18F]Fallypride

    Marta G. Vučković;Quanzheng Li;Beth Fisher;Angelo Nacca

  • Penalized PET Reconstruction Using Deep Learning Prior and Local Linear Fitting

    Kyungsang Kim;Dufan Wu;Kuang Gong;Joyita Dutta

  • Sparse-View Spectral CT Reconstruction Using Spectral Patch-Based Low-Rank Penalty

    Kyungsang Kim;Jong Chul Ye;William Worstell;Jinsong Ouyang

  • Non-Local Means Denoising of Dynamic PET Images

    Joyita Dutta;Richard M. Leahy;Quanzheng Li

  • PET Image Reconstruction Using Information Theoretic Anatomical Priors

    S Somayajula;C Panagiotou;A Rangarajan;Quanzheng Li

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

    Unknown

  • Big data and medical research in China.

    Luxia Zhang;Haibo Wang;Quanzheng Li;Ming-Hui Zhao;Ming-Hui Zhao

  • Magnetic resonance-guided positron emission tomography image reconstruction.

    Bing Bai;Quanzheng Li;Richard M. Leahy

  • Magnetic Resonance-Based Motion Correction for Positron Emission Tomography Imaging

    Jinsong Ouyang;Quanzheng Li;Georges El Fakhri

  • Model-based normalization for iterative 3D PET image reconstruction.

    B Bai;Q Li;C H Holdsworth;E Asma

Frequent Co-Authors

Georges El Fakhri
Georges El Fakhri Harvard University
Richard M. Leahy
Richard M. Leahy University of Southern California
Jinyi Qi
Jinyi Qi University of California, Davis
Jorge Sepulcre
Jorge Sepulcre Harvard University
Nathaniel M. Alpert
Nathaniel M. Alpert Harvard University
Tianming Liu
Tianming Liu University of Georgia
Andrew F. Laine
Andrew F. Laine Columbia University
Fernando Maestú
Fernando Maestú Complutense University of Madrid
Reisa A. Sperling
Reisa A. Sperling Brigham and Women's Hospital
Xiaoyuan Chen
Xiaoyuan Chen National University of Singapore

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