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Polina Golland

Polina Golland

D-Index & Metrics

Computer Science

D-Index
58
Citations
24695
World Ranking
3531
National Ranking
1701

Overview

Polina Golland is affiliated with MIT in the United States and has an extensive body of research primarily in the fields of Medicine and Computer Science. Their work integrates advanced techniques in medical imaging and computational analysis, contributing to multiple subfields such as Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Pediatrics, Perinatology and Child Health, Artificial Intelligence, and Pulmonary and Respiratory Medicine.

Their research addresses significant topics including Fetal and Pediatric Neurological Disorders, Domain Adaptation and Few-Shot Learning, Neonatal and Fetal Brain Pathology, Advanced Neuroimaging Techniques and Applications, Advanced MRI Techniques and Applications, Medical Imaging Techniques and Applications, and Medical Image Segmentation Techniques.

Polina Golland has published extensively in several prominent venues. These include:

  • arXiv (Cornell University)
  • 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
  • Lecture notes in computer science
  • Stroke
  • IEEE Transactions on Medical Imaging

Frequent collaborators in Golland's work include Esra Abacı Türk, P. Ellen Grant, Elfar Adalsteinsson, Adrian V. Dalca, and Natalia S. Rost, with multiple joint publications recorded for each.

Notable recent publications by Polina Golland include:

  • "SynthSR: A public AI tool to turn heterogeneous clinical brain scans into high-resolution T1-weighted images for 3D morphometry" (2023, Science Advances)
  • "Computer-Aided Detection Improves Adenomas per Colonoscopy for Screening and Surveillance Colonoscopy: A Randomized Trial" (2022, Gastroenterology)
  • "Cognitive Impairment and Dementia After Stroke: Design and Rationale for the DISCOVERY Study" (2021, Stroke)
  • "NeSVoR: Implicit Neural Representation for Slice-to-Volume Reconstruction in MRI" (2023, IEEE Transactions on Medical Imaging)
  • "The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up" (2021, The Journal of Machine Learning for Biomedical Imaging)

Best Publications

  • The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

    Bjoern H. Menze;Andras Jakab;Stefan Bauer;Jayashree Kalpathy-Cramer

  • CellProfiler: image analysis software for identifying and quantifying cell phenotypes

    Anne E Carpenter;Thouis R Jones;Michael R Lamprecht;Colin Clarke

  • CellProfiler Analyst: data exploration and analysis software for complex image-based screens

    Thouis R Jones;Thouis R Jones;In Han Kang;Douglas B Wheeler;Robert A Lindquist

  • A Generative Model for Image Segmentation Based on Label Fusion

    Mert R Sabuncu;B T Thomas Yeo;K Van Leemput;Bruce Fischl

  • Automated segmentation of hippocampal subfields from ultra‐high resolution in vivo MRI

    Koen Van Leemput;Koen Van Leemput;Akram Bakkour;Thomas Benner;Graham Wiggins

  • Scoring diverse cellular morphologies in image-based screens with iterative feedback and machine learning

    Thouis R. Jones;Thouis R. Jones;Anne E. Carpenter;Anne E. Carpenter;Michael R. Lamprecht;Jason Moffat

  • Spherical Demons: Fast Diffeomorphic Landmark-Free Surface Registration

    B.T.T. Yeo;M.R. Sabuncu;T. Vercauteren;N. Ayache

  • Permutation Tests for Classification: Towards Statistical Significance in Image-Based Studies

    Polina Golland;Bruce Fischl

  • Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012

    Nicholas Ayache;Hervé Delingette;Polina Golland;Kensaku Mori

  • A generative model for brain tumor segmentation in multi- modal images

    Bjoern H. Menze;Koen Van Leemput;Danial Lashkari;Marc-André Weber

  • A distributed spatio-temporal EEG/MEG inverse solver

    Wanmei Ou;Matti S. Hämäläinen;Polina Golland

  • Voronoi-Based segmentation of cells on image manifolds

    Thouis R. Jones;Anne Carpenter;Polina Golland

  • Method for performing stereo matching to recover depths, colors and opacities of surface elements

    Richard Stephen Szeliski;Polina Golland

  • Data-driven clustering reveals a fundamental subdivision of the human cortex into two global systems

    Yulia Golland;Polina Golland;Shlomo Bentin;Rafael Malach

  • An image analysis toolbox for high-throughput C. elegans assays

    Carolina Wählby;Carolina Wählby;Lee Kamentsky;Zihan H Liu;Tammy Riklin-Raviv

  • Stereo matching with transparency and matting

    R. Szeliski;P. Golland

  • BrainPrint: a discriminative characterization of brain morphology.

    Christian Wachinger;Polina Golland;William S. Kremen;Bruce Fischl

  • SynthSR: A public AI tool to turn heterogeneous clinical brain scans into high-resolution T1-weighted images for 3D morphometry

    Unknown

  • Whole brain resting state functional connectivity abnormalities in schizophrenia

    Archana Venkataraman;Thomas J. Whitford;Thomas J. Whitford;Carl-Fredrik Westin;Carl-Fredrik Westin;Polina Golland

  • Stereo Matching with Transparency and Matting

    Richard Szeliski;Polina Golland

  • Permutation tests for classification

    Polina Golland;Feng Liang;Sayan Mukherjee;Dmitry Panchenko

  • CellProfiler Analyst: data exploration and analysis software for complex image-based screens

    Douglas B. Wheeler;David M. Sabatini;In Han Kang;Polina Golland

Frequent Co-Authors

Bruce Fischl
Bruce Fischl Harvard University
Christian Wachinger
Christian Wachinger Technical University of Munich
Koen Van Leemput
Koen Van Leemput Harvard University
Ona Wu
Ona Wu Harvard University
P. Ellen Grant
P. Ellen Grant Boston Children's Hospital
Georg Langs
Georg Langs Medical University of Vienna
Nicholas Ayache
Nicholas Ayache French Institute for Research in Computer Science and Automation - INRIA
Ron Kikinis
Ron Kikinis Brigham and Women's Hospital

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