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Computer Science

D-Index
45
Citations
22259
World Ranking
6977
National Ranking
3055

Overview

Jianming Liang is affiliated with Arizona State University in the United States. Their research spans multiple disciplines, with a primary focus on medicine and computer science. They have contributed extensively to the fields of radiology, nuclear medicine, and imaging, alongside significant work in artificial intelligence and atmospheric science.

Their research topics include:

  • COVID-19 diagnosis using AI
  • Radiomics and machine learning in medical imaging
  • AI in cancer detection
  • Atmospheric and environmental gas dynamics
  • Atmospheric chemistry and aerosols
  • Domain adaptation and few-shot learning
  • Air quality and health impacts

Among their recent publications are:

  • Models Genesis, 2020, Medical Image Analysis
  • Under-reporting of greenhouse gas emissions in U.S. cities, 2021, Nature Communications
  • Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-Supervised Learning, 2021, IEEE Transactions on Medical Imaging
  • The Vulcan Version 3.0 High-Resolution Fossil Fuel CO2 Emissions for the United States, 2020, Journal of Geophysical Research Atmospheres
  • DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Frequent co-authors collaborating with Jianming Liang include:

  • Michael B. Gotway
  • Mohammad Reza Hosseinzadeh Taher
  • K. R. Gurney
  • Zongwei Zhou
  • Fatemeh Haghighi

Jianming Liang's work is published predominantly in venues such as:

  • arXiv (Cornell University)
  • Lecture Notes in Computer Science
  • Medical Image Analysis
  • Research Square
  • IEEE Transactions on Medical Imaging

Their interdisciplinary research covers important topics linking medical imaging and environmental science, demonstrating a breadth of expertise that bridges artificial intelligence applications in medicine with atmospheric data analysis. Liang's work addresses key challenges such as improving diagnostic methods for COVID-19 and cancer detection using AI, while also contributing to understanding greenhouse gas emissions and environmental impacts through advanced imaging and data techniques.

Best Publications

  • Unet++: A nested u-net architecture for medical image segmentation

    Zongwei Zhou;Mahfuzur Rahman Siddiquee;Nima Tajbakhsh;Jianming Liang

  • UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation

    Zongwei Zhou;Mahfuzur Rahman Siddiquee;Nima Tajbakhsh;Jianming Liang

  • Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

    Nima Tajbakhsh;Jae Y. Shin;Suryakanth R. Gurudu;R. Todd Hurst

  • Automated Polyp Detection in Colonoscopy Videos Using Shape and Context Information

    Nima Tajbakhsh;Suryakanth R. Gurudu;Jianming Liang

  • Fine-Tuning Convolutional Neural Networks for Biomedical Image Analysis: Actively and Incrementally

    Zongwei Zhou;Jae Shin;Lei Zhang;Suryakanth Gurudu

  • Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results From the MICCAI 2015 Endoscopic Vision Challenge

    Jorge Bernal;Nima Tajkbaksh;Francisco Javier Sanchez;Bogdan J. Matuszewski

  • Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis.

    Zongwei Zhou;Vatsal Sodha;Mahfuzur Rahman Siddiquee;Ruibin Feng

  • Models Genesis

    Zongwei Zhou;Vatsal Sodha;Jiaxuan Pang;Michael B. Gotway

  • Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study

    Rina D. Rudyanto;Sjoerd Kerkstra;Eva M. van Rikxoort;Catalin Fetita

  • Automatic polyp detection in colonoscopy videos using an ensemble of convolutional neural networks

    Nima Tajbakhsh;Suryakanth R. Gurudu;Jianming Liang

  • Computer-Aided Pulmonary Embolism Detection Using a Novel Vessel-Aligned Multi-planar Image Representation and Convolutional Neural Networks

    Nima Tajbakhsh;Michael B. Gotway;Jianming Liang

  • Applications and impacts of Google Earth: A decadal review (2006-2016)

    Jianming Liang;Jianming Liang;Jianhua Gong;Wenhang Li

  • Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-Supervised Learning

    Fatemeh Haghighi;Mohammad Reza Hosseinzadeh Taher;Zongwei Zhou;Michael B. Gotway

  • Computer-aided detection (CAD) for CT colonography: a tool to address a growing need.

    L Bogoni;P Cathier;M Dundar;A Jerebko

  • Automatic Sky View Factor Estimation from Street View Photographs—A Big Data Approach

    Jianming Liang;Jianhua Gong;Jun Sun;Jieping Zhou

  • Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization

    Mahfuzur Rahman Siddiquee;Zongwei Zhou;Nima Tajbakhsh;Ruibin Feng

  • United Snakes

    Jianming Liang;Tim McInerne;Demetri Terzopoulos

  • Computer aided detection of pulmonary embolism with tobogganing and mutiple instance classification in CT pulmonary angiography

    Jianming Liang;Jinbo Bi

  • United Snakes [image analysis software]

    J. Liang;T. McInerney;D. Terzopoulos

  • Synthesis of Urban CO2 Emission Estimates from Multiple Methods from the Indianapolis Flux Project (INFLUX).

    Jocelyn C. Turnbull;Jocelyn C. Turnbull;Anna Karion;Kenneth James Davis;Thomas Claude Yves Lauvaux

  • An open-source 3D solar radiation model integrated with a 3D Geographic Information System

    Jianming Liang;Jianhua Gong;Jieping Zhou;Abdoul Nasser Ibrahim

  • Surrogate Supervision for Medical Image Analysis: Effective Deep Learning From Limited Quantities of Labeled Data

    Nima Tajbakhsh;Yufei Hu;Junli Cao;Xingjian Yan

Frequent Co-Authors

Kevin R. Gurney
Kevin R. Gurney Northern Arizona University
Jinbo Bi
Jinbo Bi University of Connecticut
Demetri Terzopoulos
Demetri Terzopoulos University of California, Los Angeles
Thomas Lauvaux
Thomas Lauvaux Pennsylvania State University
Paul B. Shepson
Paul B. Shepson Stony Brook University
Le Lu
Le Lu Alibaba Group (China)
Lei Zhang
Lei Zhang Hong Kong Polytechnic University
Charles E. Miller
Charles E. Miller California Institute of Technology
Paul O. Wennberg
Paul O. Wennberg California Institute of Technology
Anna Karion
Anna Karion National Institute of Standards and Technology

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