World's Best Scientists 2026 revealed!

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Computer Science

D-Index
39
Citations
10032
World Ranking
9554
National Ranking
4051

Overview

Andrew F. Laine is affiliated with Columbia University in the United States. Their research portfolio spans multiple domains within medicine, primarily focusing on areas related to pulmonary and respiratory medicine, radiology, nuclear medicine and imaging, computer vision and pattern recognition, artificial intelligence, and biomedical engineering.

Their work encompasses a diverse set of topics, including:

  • Chronic Obstructive Pulmonary Disease (COPD) Research
  • Advanced MRI Techniques and Applications
  • Advanced Neural Network Applications
  • Lung Cancer Diagnosis and Treatment
  • Cell Image Analysis Techniques
  • Medical Image Segmentation Techniques
  • Functional Brain Connectivity Studies

Andrew F. Laine has published extensively in notable venues, with the most frequent publication outlets being:

  • arXiv (Cornell University)
  • American Journal of Respiratory and Critical Care Medicine
  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Thorax

Their recent publications illustrate a focus on imaging techniques, machine learning applications, and pulmonary disease characterization. Selected articles include:

  • PTNet3D: A 3D High-Resolution Longitudinal Infant Brain MRI Synthesizer Based on Transformers, 2022, IEEE Transactions on Medical Imaging
  • Pulmonary emphysema subtypes defined by unsupervised machine learning on CT scans, 2023, Thorax
  • MR spectroscopy frequency and phase correction using convolutional neural networks, 2021, Magnetic Resonance in Medicine
  • Quantitative imaging of tongue kinematics during infant feeding and adult swallowing reveals highly conserved patterns, 2021, Physiological Reports
  • Association of dysanapsis with mortality among older adults, 2023, European Respiratory Journal

Andrew F. Laine collaborates frequently with researchers across several disciplines. Key co-authors include:

  • Elsa D. Angelini
  • Eric A. Hoffman
  • R. Graham Barr
  • Jia Guo
  • Benjamin M. Smith

This profile highlights their multidisciplinary contributions in medicine and engineering, particularly the integration of machine learning approaches into imaging and respiratory disease research.

Best Publications

  • Texture classification by wavelet packet signatures

    A. Laine;J. Fan

  • Mammographic feature enhancement by multiscale analysis

    A.F. Laine;S. Schuler;Jian Fan;W. Huda

  • Speckle reduction and contrast enhancement of echocardiograms via multiscale nonlinear processing

    Xuli Zong;A.F. Laine;E.A. Geiser

  • Circle recognition through a 2D Hough Transform and radius histogramming

    Dimitrios Ioannou;Walter Huda;Andrew F. Laine

  • A review of imaging techniques for systems biology

    Armen Kherlopian;Ting Song;Qi Duan;Matthew A. Neimark

  • Wavelets for contrast enhancement of digital mammography

    A. Laine;Jian Fan;Wuhai Yang

  • A Partial Intensity Invariant Feature Descriptor for Multimodal Retinal Image Registration

    Jian Chen;Jie Tian;Noah Lee;Jian Zheng

  • Wavelet descriptors for multiresolution recognition of handprinted characters

    Patrick Wunsch;Andrew F. Laine

  • A State-of-the-Art Review on Segmentation Algorithms in Intravascular Ultrasound (IVUS) Images

    A. Katouzian;E. D. Angelini;S. G. Carlier;J. S. Suri

  • Frame representations for texture segmentation

    A. Laine;Jian Fan

  • Anatomical Brain Images Alone Can Accurately Diagnose Chronic Neuropsychiatric Illnesses

    Ravi Bansal;Lawrence H. Staib;Andrew F. Laine;Xuejun Hao

  • Contrast Enhancement by Multi-scale Adaptive Histogram Equalization

    Yinpeng Jin;Laura M. Fayad;Andrew F. Laine

  • Optimal k-space sampling for dynamic contrast-enhanced MRI with an application to MR renography.

    Ting Song;Andrew F. Laine;Qun Chen;Henry Rusinek

  • Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary Nodules.

    Xinyang Feng;Jie Yang;Andrew F. Laine;Elsa D. Angelini;Elsa D. Angelini

  • LV volume quantification via spatiotemporal analysis of real-time 3-D echocardiography

    E.D. Angelini;A.F. Laine;S. Takuma;J.W. Holmes

  • Regional electric field induced by electroconvulsive therapy in a realistic finite element head model: influence of white matter anisotropic conductivity.

    Won Hee Lee;Zhi-De Deng;Zhi-De Deng;Tae-Seong Kim;Andrew F. Laine

  • Segmentation of real-time three-dimensional ultrasound for quantification of ventricular function: a clinical study on right and left ventricles.

    Elsa D. Angelini;Shunichi Homma;Gregory Pearson;Jeffrey W. Holmes

  • Image fusion using steerable dyadic wavelet transform

    I. Koren;A. Laine;F. Taylor

  • Guest Editorial: Wavelets in Medical Imaging

    M. Unser;A. Aldroubi;A. Laine

  • Wavelet applications in signal and image processing II

    Michael A. Unser;Akram Aldroubi;Andrew F. Laine

Frequent Co-Authors

Michael Unser
Michael Unser École Polytechnique Fédérale de Lausanne
Angel V. Peterchev
Angel V. Peterchev Duke University
Sarah H. Lisanby
Sarah H. Lisanby Arizona State University
Nassir Navab
Nassir Navab Technical University of Munich
Akram Aldroubi
Akram Aldroubi Vanderbilt University
Gruia-Catalin Roman
Gruia-Catalin Roman University of New Mexico
Elisa E. Konofagou
Elisa E. Konofagou Columbia University
Georges El Fakhri
Georges El Fakhri Harvard University
John F. Hunt
John F. Hunt Columbia University
Quanzheng Li
Quanzheng Li Harvard University

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