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Computer Science

D-Index
46
Citations
7919
World Ranking
6889
National Ranking
3019

Overview

Aaron Carass is a researcher affiliated with Johns Hopkins University in the United States. Their work spans across the fields of Medicine and Computer Science, focusing particularly on Radiology, Nuclear Medicine and Imaging, and Computer Vision and Pattern Recognition. Other subfields of study include Biomedical Engineering, Neurology, and Pulmonary and Respiratory Medicine.

The research topics they concentrate on reflect these fields and include Medical Image Segmentation Techniques, Advanced MRI Techniques and Applications, Advanced Neuroimaging Techniques and Applications, Medical Imaging Techniques and Applications, Advanced Image Processing Techniques, Radiomics and Machine Learning in Medical Imaging, as well as Fetal and Pediatric Neurological Disorders.

Aaron Carass has contributed to various publication venues, with a significant number of papers appearing in:

  • arXiv (Cornell University)
  • Lecture notes in computer science
  • Medical Image Analysis
  • NeuroImage
  • Medical Imaging 2022: Image Processing

Among the recent papers authored or co-authored by Aaron Carass are:

  • "Evaluating White Matter Lesion Segmentations with Refined Sørensen-Dice Analysis," published in 2020 in Scientific Reports
  • "Unsupervised MR-to-CT Synthesis Using Structure-Constrained CycleGAN," published in 2020 in IEEE Transactions on Medical Imaging
  • "Structured layer surface segmentation for retina OCT using fully convolutional regression networks," published in 2020 in Medical Image Analysis
  • "Unsupervised MR harmonization by learning disentangled representations using information bottleneck theory," published in 2021 in NeuroImage
  • "Autoencoder based self-supervised test-time adaptation for medical image analysis," published in 2021 in Medical Image Analysis

Their frequent co-authors reflect ongoing collaboration across several research groups and include:

  • Jerry L. Prince
  • Lianrui Zuo
  • Blake E. Dewey
  • Samuel W. Remedios
  • Peter A. Calabresi

Best Publications

  • Longitudinal changes in cortical thickness associated with normal aging.

    Madhav Thambisetty;Jing Wan;Aaron Carass;Yang An

  • Longitudinal multiple sclerosis lesion segmentation: Resource and challenge.

    Aaron Carass;Snehashis Roy;Amod Jog;Jennifer L. Cuzzocreo

  • Retinal layer segmentation of macular OCT images using boundary classification

    Andrew Lang;Aaron Carass;Matthew Hauser;Elias S. Sotirchos

  • Why rankings of biomedical image analysis competitions should be interpreted with care

    Lena Maier-Hein;Matthias Eisenmann;Annika Reinke;Sinan Onogur

  • MRBrainS challenge: online evaluation framework for brain image segmentation in 3T MRI scans

    Adriënne M. Mendrik;Koen L. Vincken;Hugo J. Kuijf;Marcel Breeuwer

  • DeepHarmony: A deep learning approach to contrast harmonization across scanner changes.

    Blake E. Dewey;Blake E. Dewey;Can Zhao;Jacob C. Reinhold;Aaron Carass

  • Random forest regression for magnetic resonance image synthesis.

    Amod Jog;Aaron Carass;Snehashis Roy;Dzung L. Pham

  • Cross-Modality Image Synthesis from Unpaired Data Using CycleGAN

    Yuta Hiasa;Yoshito Otake;Masaki Takao;Takumi Matsuoka

  • Evaluating the Impact of Intensity Normalization on MR Image Synthesis.

    Jacob C. Reinhold;Blake E. Dewey;Blake E. Dewey;Aaron Carass;Jerry L. Prince

  • Evaluating White Matter Lesion Segmentations with Refined Sørensen-Dice Analysis

    Aaron Carass;Snehashis Roy;Adrian Gherman;Jacob C. Reinhold

  • Unpaired Brain MR-to-CT Synthesis Using a Structure-Constrained CycleGAN

    Heran Yang;Heran Yang;Jian Sun;Aaron Carass;Can Zhao

  • Unsupervised MR-to-CT Synthesis Using Structure-Constrained CycleGAN

    Heran Yang;Jian Sun;Aaron Carass;Can Zhao

  • Magnetic Resonance Image Example-Based Contrast Synthesis

    Snehashis Roy;Aaron Carass;Jerry L. Prince

  • The Java Image Science Toolkit (JIST) for Rapid Prototyping and Publishing of Neuroimaging Software

    Blake C. Lucas;Blake C. Lucas;John A. Bogovic;Aaron Carass;Pierre Louis Bazin

  • SIMPLE PARADIGM FOR EXTRA-CEREBRAL TISSUE REMOVAL: ALGORITHM AND ANALYSIS

    Aaron Carass;Jennifer L. Cuzzocreo;M. Bryan Wheeler;Pierre-Louis Bazin

  • Consistent cortical reconstruction and multi-atlas brain segmentation.

    Yuankai Huo;Andrew J. Plassard;Aaron Carass;Susan M. Resnick

  • Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images

    Aaron Carass;Jennifer L. Cuzzocreo;Shuo Han;Carlos R. Hernandez-Castillo

  • Applications of a deep learning method for anti-aliasing and super-resolution in MRI.

    Can Zhao;Muhan Shao;Aaron Carass;Hao Li

  • Structured layer surface segmentation for retina OCT using fully convolutional regression networks.

    Yufan He;Aaron Carass;Yihao Liu;Bruno M. Jedynak

  • Unsupervised MR harmonization by learning disentangled representations using information bottleneck theory.

    Lianrui Zuo;Blake E. Dewey;Yihao Liu;Yufan He

  • A compressed sensing approach for MR tissue contrast synthesis

    Snehashis Roy;Aaron Carass;Jerry Prince

  • Automatic Magnetic Resonance Spinal Cord Segmentation with Topology Constraints for Variable Fields of View

    Min Chen;Aaron Carass;Jiwon Oh;Govind Nair

  • Erratum to: The Java Image Science Toolkit (JIST) for Rapid Prototyping and Publishing of Neuroimaging Software

    Blake C. Lucas;Blake C. Lucas;John A. Bogovic;Aaron Carass;Pierre Louis Bazin

Frequent Co-Authors

Jerry L. Prince
Jerry L. Prince Johns Hopkins University
Dzung L. Pham
Dzung L. Pham Henry M. Jackson Foundation
Bennett A. Landman
Bennett A. Landman Vanderbilt University
Pierre-Louis Bazin
Pierre-Louis Bazin University of Amsterdam
Susan M. Resnick
Susan M. Resnick National Institutes of Health
Tal Arbel
Tal Arbel McGill University
Gregory C. Sharp
Gregory C. Sharp Harvard University
Philip V. Bayly
Philip V. Bayly Washington University in St. Louis
Klaus H. Maier-Hein
Klaus H. Maier-Hein German Cancer Research Center
K.T. Ramesh
K.T. Ramesh Johns Hopkins University

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