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3 Results Found

  • Article
  • Open Access
9 Citations
4,334 Views
14 Pages

Improved Repeatability of Mouse Tibia Volume Segmentation in Murine Myelofibrosis Model Using Deep Learning

  • Aman Kushwaha,
  • Rami F. Mourad,
  • Kevin Heist,
  • Humera Tariq and ,
  • Heang-Ping Chan,
  • Brian D. Ross,
  • Thomas L. Chenevert,
  • Dariya Malyarenko and
  • Lubomir M. Hadjiiski
  • + 4 authors+ 0 author

7 March 2023

A murine model of myelofibrosis in tibia was used in a co-clinical trial to evaluate segmentation methods for application of image-based biomarkers to assess disease status. The dataset (32 mice with 157 3D MRI scans including 49 test–retest pa...

(This article belongs to the Special Issue CIRP Network Collection: Advances in Co-clinical Quantitative Imaging Research)
  • Article
  • Open Access
7 Citations
3,568 Views
12 Pages

The Effect of Micro-Computed Tomography Thresholding Methods on Bone Micromorphometric Analysis

  • Arda Buyuksungur,
  • Bence Tamás Szabó,
  • Adrienn Dobai and
  • Kaan Orhan

13 November 2024

Bone micromorphometric parameters are generally analyzed with micro CT to reveal two- and three-dimensional structures. These parameters are generally used for new bone formation studies such as tissue engineering and biomaterials studies. Different...

(This article belongs to the Section Biomaterials for Tissue Engineering and Regenerative Medicine)
  • Article
  • Open Access
3 Citations
2,788 Views
12 Pages

Deep Learning-Based Tumor Segmentation of Murine Magnetic Resonance Images of Prostate Cancer Patient-Derived Xenografts

  • Satvik Nayak,
  • Henry Salkever,
  • Ernesto Diaz,
  • Avantika Sinha and ,
  • Nikhil Deveshwar,
  • Madeline Hess,
  • Matthew Gibbons,
  • Sule Sahin,
  • Abhejit Rajagopal and
  • Renuka Sriram
  • + 6 authors+ 1 author

22 February 2025

Background/Objective: Longitudinal in vivo studies of murine xenograft models are widely utilized in oncology to study cancer biology and develop therapies. Magnetic resonance imaging (MRI) of these tumors is an invaluable tool for monitoring tumor g...

(This article belongs to the Section Artificial Intelligence in Medical Imaging)