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Neuroscience

D-Index
58
Citations
11409
World Ranking
4180
National Ranking
56

Overview

Anqi Qiu is affiliated with Hong Kong Polytechnic University in China. Their research primarily spans the fields of Medicine and Neuroscience, with significant contributions to subfields such as Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health, Psychiatry and Mental Health, and Computer Vision and Pattern Recognition.

The scientist's work explores a variety of topics, including Functional Brain Connectivity Studies, Advanced Neuroimaging Techniques and Applications, Maternal Mental Health During Pregnancy and Postpartum, Advanced MRI Techniques and Applications, Advanced Graph Neural Networks, Child and Adolescent Psychosocial and Emotional Development, and Birth, Development, and Health.

Some of their recent publications include:

  • Novel Coverless Steganography Method Based on Image Selection and StarGAN, 2020, IEEE Transactions on Network Science and Engineering
  • Cohort profile: Singapore Preconception Study of Long-Term Maternal and Child Outcomes (S-PRESTO), 2020, European Journal of Epidemiology
  • Parental and social factors in relation to child psychopathology, behavior, and cognitive function, 2020, Translational Psychiatry
  • A global multicohort study to map subcortical brain development and cognition in infancy and early childhood, 2023, Nature Neuroscience
  • Centering inclusivity in the design of online conferences-An OHBM-Open Science perspective, 2021, GigaScience

Frequently publishing in venues such as arXiv (Cornell University), NeuroImage, Translational Psychiatry, UNC Libraries, and Medical Image Analysis, Anqi Qiu's body of work is distributed across multiple high-profile journals and repositories.

Their frequent collaborators include Yap Seng Chong, Michael J. Meaney, Nanguang Chen, Marielle V. Fortier, and Peter D. Gluckman, highlighting ongoing partnerships within interdisciplinary research communities.

Best Publications

  • Brain charts for the human lifespan

    Unknown

  • Prenatal maternal depression alters amygdala functional connectivity in 6-month-old infants.

    A. Qiu;T. T. Anh;Y. Li;H. Chen

  • Basal ganglia volume and shape in children with attention deficit hyperactivity disorder.

    Anqi Qiu;B.S. Deana Crocetti;B.A. Marcy Adler;E. Mark Mahone

  • Prenatal Maternal Depression Associates with Microstructure of Right Amygdala in Neonates at Birth

    Anne Rifkin-Graboi;Jordan Bai;Helen Chen;Waseem Bak R. Hameed

  • Large Deformation Diffeomorphic Metric Curve Mapping

    Joan Glaunès;Anqi Qiu;Michael I. Miller;Laurent Younes

  • Diffusion Tensor Imaging for Understanding Brain Development in Early Life

    Anqi Qiu;Susumu Mori;Michael I. Miller

  • Maternal anxiety and infants' hippocampal development: timing matters

    Qiu A;Rifkin-Graboi A;Chen H;Chong Ys

  • Influences of prenatal and postnatal maternal depression on amygdala volume and microstructure in young children

    Wen Dj;Poh Js;Ni Sn;Chong Ys

  • Regional shape abnormalities in mild cognitive impairment and Alzheimer's disease

    Anqi Qiu;Christine Fennema-Notestine;Anders M. Dale;Michael I. Miller

  • Basal ganglia shapes predict social, communication, and motor dysfunctions in boys with autism spectrum disorder.

    Anqi Qiu;Marcy Adler;Deana Crocetti;Michael I. Miller

  • Gabor analysis of auditory midbrain receptive fields: spectro-temporal and binaural composition.

    Anqi Qiu;Christoph E. Schreiner;Monty A. Escabí

  • Robust Automatic Rodent Brain Extraction Using 3-D Pulse-Coupled Neural Networks (PCNN)

    Nigel Chou;Jiarong Wu;Jordan Bai Bingren;Anqi Qiu

  • Antenatal maternal anxiety predicts variations in neural structures implicated in anxiety disorders in newborns

    Anne Rifkin-Graboi;Michael J Meaney;Helen Chen;Jordan Bai

  • Structural connectivity asymmetry in the neonatal brain

    Nagulan Ratnarajah;Anne Rifkin-Graboi;Marielle V. Fortier;Yap Seng Chong

  • Cortical graph neural network for AD and MCI diagnosis and transfer learning across populations

    Chong-Yaw Wee;Chaoqiang Liu;Annie Lee;Joann S. Poh

  • Multi-structure network shape analysis via normal surface momentum maps.

    Anqi Qiu;Michael I. Miller

  • Correction of B0 susceptibility induced distortion in diffusion-weighted images using large-deformation diffeomorphic metric mapping.

    Hao Huang;Can Ceritoglu;Xin Li;Anqi Qiu;Anqi Qiu

  • Effects of Antenatal Maternal Depressive Symptoms and Socio-Economic Status on Neonatal Brain Development are Modulated by Genetic Risk.

    Anqi Qiu;Mojun Shen;Claudia Buss;Claudia Buss;Yap-Seng Chong

  • Maternal sensitivity, infant limbic structure volume and functional connectivity : a preliminary study

    A. Rifkin-Graboi;L. Kong;L. W. Sim;S. Sanmugam

  • Parallel transport in diffeomorphisms distinguishes the time-dependent pattern of hippocampal surface deformation due to healthy aging and the dementia of the Alzheimer's type

    Anqi Qiu;Laurent Younes;Michael I. Miller;John G. Csernansky

  • COMT haplotypes modulate associations of antenatal maternal anxiety and neonatal cortical morphology.

    Anqi Qiu;Ta Anh Tuan;Mei Lyn Ong;Yue Li

  • Diffeomorphic metric surface mapping in subregion of the superior temporal gyrus

    Marc Vaillant;Anqi Qiu;Joan Alexis Glaunès;Michael I. Miller

  • Regionally Specific White Matter Disruptions of Fornix and Cingulum in Schizophrenia

    Muhammad Farid Abdul-Rahman;Anqi Qiu;Anqi Qiu;Kang Sim

Frequent Co-Authors

Seang-Mei Saw
Seang-Mei Saw National University of Singapore
Simon B. Eickhoff
Simon B. Eickhoff Heinrich Heine University Düsseldorf
Robert Oostenveld
Robert Oostenveld Radboud University
Tonya White
Tonya White National Institutes of Health
Brian K. Kennedy
Brian K. Kennedy National University of Singapore
Lei Wang
Lei Wang Northwestern University
Andrew L. Alexander
Andrew L. Alexander University of Wisconsin–Madison
Stewart H. Mostofsky
Stewart H. Mostofsky Johns Hopkins University School of Medicine
Sang Won Seo
Sang Won Seo Samsung Medical Center
Marilyn S. Albert
Marilyn S. Albert Johns Hopkins University School of Medicine

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