World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
11532
World Ranking
4338
National Ranking
2031

Overview

Pingkun Yan is affiliated with Rensselaer Polytechnic Institute in the United States. Their research focuses on fields intersecting medicine and computer science, with significant contributions to radiology, nuclear medicine, imaging, computer vision, and artificial intelligence.

The scientist's work spans several subfields including:

  • Radiology, Nuclear Medicine and Imaging
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Biomedical Engineering
  • Pulmonary and Respiratory Medicine

Key research topics explored by Pingkun Yan include:

  • Radiomics and Machine Learning in Medical Imaging
  • Advanced Neural Network Applications
  • COVID-19 diagnosis using AI
  • Medical Image Segmentation Techniques
  • Medical Imaging Techniques and Applications
  • Domain Adaptation and Few-Shot Learning
  • AI in cancer detection

The researcher has a strong publication record with several papers appearing in prominent journals. Recent notable papers include:

  • "Development of metaverse for intelligent healthcare," 2022, Nature Machine Intelligence
  • "Multi-Organ Segmentation Over Partially Labeled Datasets With Multi-Scale Feature Abstraction," 2020, IEEE Transactions on Medical Imaging
  • "Integrative analysis for COVID-19 patient outcome prediction," 2021, UNICA IRIS Institutional Research Information System (University of Cagliari)
  • "Cross-modal attention for multi-modal image registration," 2022, Medical Image Analysis
  • "Deep-Learning-Based Artificial Intelligence for PI-RADS Classification to Assist Multiparametric Prostate MRI Interpretation: A Development Study," 2020, Journal of Magnetic Resonance Imaging

Frequent co-authors collaborating with Pingkun Yan include:

  • Ge Wang
  • Xuanang Xu
  • Hanqing Chao
  • Mannudeep K. Kalra
  • Bradford J. Wood

Their research has been published in a variety of venues, with multiple papers appearing in:

  • arXiv (Cornell University)
  • IEEE Transactions on Medical Imaging
  • International Journal of Computer Assisted Radiology and Surgery
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Medical Image Analysis

Pingkun Yan has also contributed to book publications with Springer Science+Business Media, authoring editions of Machine Learning in Medical Imaging in 2020 and 2021.

Best Publications

  • Low-Dose CT Image Denoising Using a Generative Adversarial Network With Wasserstein Distance and Perceptual Loss

    Qingsong Yang;Pingkun Yan;Yanbo Zhang;Hengyong Yu

  • Deep learning in medical image registration: a survey

    Grant Haskins;Uwe Kruger;Pingkun Yan

  • Magnetic Resonance Imaging/Ultrasound Fusion Guided Prostate Biopsy Improves Cancer Detection Following Transrectal Ultrasound Biopsy and Correlates With Multiparametric Magnetic Resonance Imaging

    Peter A. Pinto;Paul H. Chung;Ardeshir R. Rastinehad;Angelo A. Baccala

  • Manifold Regularized Sparse NMF for Hyperspectral Unmixing

    Xiaoqiang Lu;Hao Wu;Yuan Yuan;Pingkun Yan

  • Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss

    Qingsong Yang;Pingkun Yan;Yanbo Zhang;Hengyong Yu

  • Boundary-Weighted Domain Adaptive Neural Network for Prostate MR Image Segmentation

    Qikui Zhu;Bo Du;Pingkun Yan

  • Learning 4D action feature models for arbitrary view action recognition

    Pingkun Yan;S.M. Khan;M. Shah

  • Multi-Organ Segmentation Over Partially Labeled Datasets With Multi-Scale Feature Abstraction

    Xi Fang;Pingkun Yan

  • Local ternary co-occurrence patterns: A new feature descriptor for MRI and CT image retrieval

    Subrahmanyam Murala;Q. M. Jonathan Wu

  • Automatic Segmentation of High-Throughput RNAi Fluorescent Cellular Images

    Pingkun Yan;Xiaobo Zhou;Xiaobo Zhou;M. Shah;S.T.C. Wong

  • Deeply-supervised CNN for prostate segmentation

    Qikui Zhu;Bo Du;Baris Turkbey;Peter L. Choyke

  • Linear SVM classification using boosting HOG features for vehicle detection in low-altitude airborne videos

    Xianbin Cao;Changxia Wu;Pingkun Yan;Xuelong Li

  • Saliency Detection by Multiple-Instance Learning

    Qi Wang;Yuan Yuan;Pingkun Yan;Xuelong Li

  • Fast fit-free analysis of fluorescence lifetime imaging via deep learning.

    Jason T Smith;Ruoyang Yao;Nattawut Sinsuebphon;Alena Rudkouskaya

  • Deep learning predicts cardiovascular disease risks from lung cancer screening low dose computed tomography

    Hanqing Chao;Hongming Shan;Fatemeh Homayounieh;Ramandeep Singh

  • Discrete Deformable Model Guided by Partial Active Shape Model for TRUS Image Segmentation

    Pingkun Yan;Sheng Xu;Baris Turkbey;Jochen Kruecker

  • D'Amico risk stratification correlates with degree of suspicion of prostate cancer on multiparametric magnetic resonance imaging.

    Ardeshir R Rastinehad;Angelo A Baccala;Paul H Chung;Juan M Proano

  • 3D Model based Object Class Detection in An Arbitrary View

    Pingkun Yan;S.M. Khan;M. Shah

  • MR Image Super-Resolution via Wide Residual Networks With Fixed Skip Connection

    Jun Shi;Zheng Li;Shihui Ying;Chaofeng Wang

  • Single-image super-resolution via local learning

    Yi Tang;Pingkun Yan;Yuan Yuan;Xuelong Li

  • Learning deep similarity metric for 3D MR-TRUS image registration.

    Grant Haskins;Jochen Kruecker;Uwe Kruger;Sheng Xu

  • Machine learning in medical imaging

    Pingkun Yan;Kenji Suzuki;Fei Wang;Dinggang Shen

  • Editorial: machine learning in medical imaging

    Kenji Suzuki;Pingkun Yan;Fei Wang;Dinggang Shen

Frequent Co-Authors

Xuelong Li
Xuelong Li China Telecom (China)
Yuan Yuan
Yuan Yuan Huawei Technologies (China)
Ge Wang
Ge Wang Rensselaer Polytechnic Institute
Xavier Intes
Xavier Intes Rensselaer Polytechnic Institute
Uwe Kruger
Uwe Kruger Rensselaer Polytechnic Institute
Bo Du
Bo Du Wuhan University
Purang Abolmaesumi
Purang Abolmaesumi University of British Columbia
Xiaoqiang Lu
Xiaoqiang Lu Chinese Academy of Sciences
Mubarak Shah
Mubarak Shah University of Central Florida
Ashraf A. Kassim
Ashraf A. Kassim National University of Singapore

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Computer Science in the USA opens doors to many related online degrees and career opportunities. Many students interested in tech also consider fields like engineering, physics, and data science, which are increasingly offered in flexible online formats.

If you’re curious about advancing your technical expertise, consider the cheapest online master's mechanical engineering programs, which combine affordability with top-notch education. For those drawn to foundational sciences, earning a physics degree online can help you develop analytical skills relevant across tech industries.

The demand for data professionals continues to surge. If you want to gain an edge in analytics or AI, you may ask, what is the cheapest data science course in the US? There are quality, economical options available. For students fascinated by electronics, consider top programs from top online electrical engineering schools.

Together, these pathways offer a rich set of opportunities for building a rewarding tech career, whether online or on campus.

Best Scientists Citing Pingkun Yan

Trending Scientists