Automated computed tomography and magnetic resonance imaging
segmentation using deep learning: a beginner's guide

Automated computed tomography and magnetic resonance imaging segmentation using deep learning: a beginner's guide

12 April 2023

Diedre Carmo

Lívia Rodrigues

Letícia Rittner

Papers citing "Automated computed tomography and magnetic resonance imaging segmentation using deep learning: a beginner's guide"

7 / 7 papers shown

Title
XctDiff: Reconstruction of CT Images with Consistent Anatomical Structures from a Single Radiographic Projection Image Qingze Bai Tiange Liu Zhi Liu Yubing Tong Drew A Torigian J. Udupa MedIm 39 1 0 07 Jun 2024
MEDPSeg: Hierarchical polymorphic multitask learning for the segmentation of ground-glass opacities, consolidation, and pulmonary structures on computed tomography Diedre S. Carmo Jean Ribeiro A. Comellas Joseph M. Reinhardt S. Gerard Letícia Rittner R.A. Lotufo 35 2 0 04 Dec 2023
Automatic segmentation of lung findings in CT and application to Long COVID Diedre S. Carmo R. Tudas A. Comellas Letícia Rittner R.A. Lotufo Joseph M. Reinhardt S. Gerard 20 1 0 13 Oct 2023
Transformers in Medical Imaging: A Survey Fahad Shamshad Salman Khan Syed Waqas Zamir Muhammad Haris Khan Munawar Hayat F. Khan H. Fu ViT LM&MA MedIm 106 660 0 24 Jan 2022
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 948 20,471 0 17 Apr 2017
DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy Christian Wachinger M. Reuter T. Klein 3DV 23 330 0 27 Feb 2017
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 247 36,237 0 25 Aug 2016