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Improving Computed Tomography (CT) Reconstruction via 3D Shape Induction
v1v2 (latest)

Improving Computed Tomography (CT) Reconstruction via 3D Shape Induction

23 August 2022
Elena Sizikova
Xu Cao
A. Lewis
K. Moise
Megan Coffee
ArXiv (abs)PDFHTML

Papers citing "Improving Computed Tomography (CT) Reconstruction via 3D Shape Induction"

3 / 3 papers shown
Title
T-SYNTH: A Knowledge-Based Dataset of Synthetic Breast Images
T-SYNTH: A Knowledge-Based Dataset of Synthetic Breast Images
Christopher Wiedeman
Anastasiia Sarmakeeva
E. Sizikova
Daniil Filienko
Miguel Lago
Jana G. Delfino
Aldo Badano
MedIm
90
0
0
05 Jul 2025
Refine3DNet: Scaling Precision in 3D Object Reconstruction from
  Multi-View RGB Images using Attention
Refine3DNet: Scaling Precision in 3D Object Reconstruction from Multi-View RGB Images using AttentionIndian Conference on Computer Vision, Graphics & Image Processing (ICVGIP), 2024
Ajith Balakrishnan
Sreeja S
Linu Shine
3DV
204
1
0
01 Dec 2024
Knowledge-based in silico models and dataset for the comparative
  evaluation of mammography AI for a range of breast characteristics, lesion
  conspicuities and doses
Knowledge-based in silico models and dataset for the comparative evaluation of mammography AI for a range of breast characteristics, lesion conspicuities and dosesNeural Information Processing Systems (NeurIPS), 2023
E. Sizikova
Niloufar Saharkhiz
D. Sharma
Miguel Lago
B. Sahiner
Jana G. Delfino
Aldo Badano
165
11
0
27 Oct 2023
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