Jiantao Pu
Scholar

Jiantao Pu

Google Scholar ID: MP_9W6UAAAAJ
University of Pittsburgh
Medical image analysis
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Citations & Impact
All-time
Citations
2,447
 
H-index
27
 
i10-index
54
 
Publications
20
 
Co-authors
0
 
Contact
No contact links provided.
Publications
2 items
LAYER: A Quantitative Explainable AI Framework for Decoding Tissue-Layer Drivers of Myofascial Low Back Pain
2025
Cited
0
Segmentation-Aware Generative Reinforcement Network (GRN) for Tissue Layer Segmentation in 3-D Ultrasound Images for Chronic Low-back Pain (cLBP) Assessment
2025
Cited
0
Resume (English only)
Academic Achievements
  • - Curtis NC, Nouraie SM, Pu J, et al. Enhancing Atrial Fibrillation Risk Prediction in Tobacco-Exposed Individuals: The Role of Pulmonary Function Tests, Symptom Scores, and Imaging. Respiratory Research. 2025.
  • - Zhang, Jiang G, Li Z, Tian B, Yu S, Yu Q, Zhou J, Chen H, Pu J, Yi Q, Wang L. Medical image segmentation using dual-decoder mutual teaching with a mean teacher framework. Pattern Recognition. 2025.
  • - Du X, Nouraie SM, Pu J, et al. Lung-Related Risk Factors Associate with Low Bone Mineral Density in Individuals with Former Tobacco Exposure Not Meeting Osteoporosis Screening Criteria. Osteoporosis International. 2025.
  • - Zeng Z, Zhao X, Cartier M, Meng X, Pu J. GRN+: A Simplified Generative Reinforcement Network for Tissue Layer Analysis in 3D Ultrasound Images for Chronic Low-back Pain. Journal of Medical Imaging. 2025.
  • - Singh J, Meng X, Leader JK, Ryan J, Pu L, Deitz R, Chan EG, Shigemura N, Hage CA, Sanchez PG, Pu J. Predicting Primary Graft Dysfunction in Systemic Sclerosis Lung Transplantation Using Machine-Learning and CT Features. Clinical Transplantation. 2025.
Research Experience
  • - 2023 - Present: Professor (with tenure), Department of Radiology, University of Pittsburgh
  • - 2016 - 2023: Associate Professor (with tenure), Department of Radiology, University of Pittsburgh
  • - 2014 - 2016: Associate Professor (tenure-stream), Department of Radiology, University of Pittsburgh
  • - 2010 - 2014: Assistant Professor, Department of Bioengineering, University of Pittsburgh
  • - 2010 - 2014: Assistant Professor (tenure-stream), Department of Radiology, University of Pittsburgh
  • - 2007 - 2010: Research Assistant Professor, Department of Radiology, University of Pittsburgh
  • - 2002 - 2004: Instructor, National Laboratory on Machine Perception, Peking University, P. R. China
  • - 1999 - 2002: Research Assistant, Department of Computer Science, Peking University, P. R. China
Education
  • - 2005-2007 Postdoctoral Scholar, Stanford University, School of Medicine
  • - 2004-2005 Postdoctoral Scholar, Purdue University, School of Engineering
  • - 1999-2002 Doctor of Philosophy, Peking University, P. R. China
  • - 1996-1999 Master of Science, Huazhong University of Science & Technology, P. R. China
  • - 1992-1996 Bachelor of Science, Huazhong University of Science & Technology, P. R. China
Background
  • Professor of Radiology and Bioengineering at the University of Pittsburgh. His research emphasis is on developing novel computational tools for enabling non-invasive, quantitative, and accurate assessment of pathological conditions, ultimately advancing a deeper understanding of the underlying mechanism of diseases and facilitating the development of efficacious therapy methods.
Miscellany
  • The lab offers free quantitative image analysis services. They welcome candidates with experience or interest in image processing and machine learning to apply for postdoctoral positions. Students and international visiting scholars, particularly those interested in medical image analysis and artificial intelligence, are also encouraged to join.
Co-authors
0 total
Co-authors: 0 (list not available)