World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
63
Citations
14025
World Ranking
2787
National Ranking
1377

Overview

Zhengrong Liang is affiliated with Stony Brook University in the United States. Their research spans multiple disciplines, primarily in Medicine and Computer Science, with a strong focus on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, and Oncology.

Liang's work has concentrated on applying advanced imaging techniques and machine learning methods to medical diagnostics and cancer detection. The main topics covered in their research include:

  • Radiomics and Machine Learning in Medical Imaging
  • Medical Imaging Techniques and Applications
  • Advanced X-ray and CT Imaging
  • AI in cancer detection
  • Radiation Dose and Imaging
  • Colorectal Cancer Screening and Detection
  • Image Retrieval and Classification Techniques

Key recent publications by Zhengrong Liang include:

  • "Elaboration of a multimodal MRI-based radiomics signature for the preoperative prediction of the histological subtype in patients with non-small-cell lung cancer," 2020, BioMedical Engineering OnLine
  • "Textured-Based Deep Learning in Prostate Cancer Classification with 3T Multiparametric MRI: Comparison with PI-RADS-Based Classification," 2021, Diagnostics
  • "Spectral CT Reconstruction via Low-Rank Representation and Region-Specific Texture Preserving Markov Random Field Regularization," 2020, IEEE Transactions on Medical Imaging
  • "Predicting Unnecessary Nodule Biopsies from a Small, Unbalanced, and Pathologically Proven Dataset by Transfer Learning," 2020, Journal of Digital Imaging
  • "An Adaptive Learning Model for Multiscale Texture Features in Polyp Classification via Computed Tomographic Colonography," 2022, Sensors

Liang frequently collaborates with several coauthors who have contributed to their body of work. These frequent collaborators include:

  • Yongfeng Gao
  • Marc J. Pomeroy
  • Perry J. Pickhardt
  • Weiguo Cao
  • Hao Zhang

The scientist's research has been presented and published repeatedly in specialized venues that focus on medical and imaging technologies. Notable publication venues featuring Liang's research are:

  • Medical Imaging 2020: Computer-Aided Diagnosis
  • IEEE Transactions on Medical Imaging
  • Sensors
  • Visual Computing for Industry Biomedicine and Art
  • 7th International Conference on Image Formation in X-Ray Computed Tomography

Best Publications

  • Penalized weighted least-squares approach to sinogram noise reduction and image reconstruction for low-dose X-ray computed tomography

    Jing Wang;Tianfang Li;Hongbing Lu;Zhengrong Liang

  • System and method for performing a three-dimensional virtual examination of objects, such as internal organs

    Arie E. Kaufman;Zhengrong Liang;Mark R. Wax;Ming Wan

  • Nonlinear sinogram smoothing for low-dose X-ray CT

    Tianfang Li;Xiang Li;Jing Wang;Junhai Wen

  • Adaptive-weighted total variation minimization for sparse data toward low-dose x-ray computed tomography image reconstruction.

    Yan Liu;Jianhua Ma;Jianhua Ma;Yi Fan;Zhengrong Liang

  • Computer aided visualization, fusion and treatment planning

    Zhengrong Liang;Dongqing Chen;Bin Li;Clemente T. Roque

  • 3D virtual colonoscopy

    Lichan Hong;A. Kaufman;Yi-Chih Wei;A. Viswambharan

  • Sparse-view x-ray CT reconstruction via total generalized variation regularization.

    Shanzhou Niu;Yang Gao;Zhaoying Bian;Jing Huang

  • Conceptual design of a proton computed tomography system for applications in proton radiation therapy

    R. Schulte;V. Bashkirov;Tianfang Li;Zhengrong Liang

  • Texture feature analysis for computer-aided diagnosis on pulmonary nodules.

    Fangfang Han;Huafeng Wang;Guopeng Zhang;Hao Han

  • Parameter estimation and tissue segmentation from multispectral MR images

    Zhengrong Liang;J.R. MacFall;D.P. Harrington

  • Low-dose computed tomography image restoration using previous normal-dose scan.

    Jianhua Ma;Jing Huang;Qianjin Feng;Hua Zhang

  • Automatic centerline extraction for virtual colonoscopy

    Ming Wan;Zhengrong Liang;Qi Ke;Lichan Hong

  • System and method for performing a three-dimensional virtual segmentation and examination

    Arie E. Kaufman;Zhengrong Liang;Mark R. Wax;Ming Wan

  • Computer aided treatment planning

    Zhengrong Liang;Bin Li;Dongqing Chen;Eric E. Smouha

  • System and method for performing three-dimensional virtual examination

    Zhengrong A E Kaufman Hong Lic

  • A METHOD FOR GENERATING A FLY-PATH THROUGH A VIRTUAL COLON LUMEN

    Kaufman Arie E;Liang Zhengrong;Wax Mark R;Wan Ming

  • Variance analysis of x-ray CT sinograms in the presence of electronic noise background.

    Jianhua Ma;Zhengrong Liang;Yi Fan;Yan Liu

  • A novel approach to extract colon lumen from CT images for virtual colonoscopy

    D. Chen;M.R. Wax;L. Li;Z. Liang

  • System and method for performing a three-dimenional virtual segmentation and examination

    Kaufman A E;Zhengrong Liang;Wax M R

  • Radiomics assessment of bladder cancer grade using texture features from diffusion‐weighted imaging

    Xi Zhang;Xiaopan Xu;Qiang Tian;Baojuan Li

  • An experimental study on the noise properties of x-ray CT sinogram data in Radon space

    Jing Wang;Hongbing Lu;Zhengrong Liang;Daria Eremina

Frequent Co-Authors

Arie E. Kaufman
Arie E. Kaufman Stony Brook University
Wufan Chen
Wufan Chen Southern Medical University
Xianfeng Gu
Xianfeng Gu Stony Brook University
Lichan Hong
Lichan Hong Google (United States)
Jiang Hsieh
Jiang Hsieh General Electric (Spain)
Klaus Mueller
Klaus Mueller Stony Brook University
Lei Xing
Lei Xing Stanford University
A. Seiden
A. Seiden University of California, Santa Cruz
Deyu Meng
Deyu Meng Xi'an Jiaotong University
Wei Qian
Wei Qian The University of Texas at El Paso

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