Lung250M-4B: a combined 3D dataset for CT-and point cloud-based intra-patient lung registration
F Falta, C Großbröhmer, A Hering… - Advances in …, 2024 - proceedings.neurips.cc
A popular benchmark for intra-patient lung registration is provided by the DIR-LAB
COPDgene dataset consisting of large-motion in-and expiratory breath-hold CT pairs. This …
COPDgene dataset consisting of large-motion in-and expiratory breath-hold CT pairs. This …
Particle Swarm Optimization in 3D Medical Image Registration: A Systematic Review
L Ballerini - Archives of Computational Methods in Engineering, 2024 - Springer
Medical image registration seeks to find an optimal spatial transformation that best aligns the
underlying anatomical structures. These problems usually require the optimization of a …
underlying anatomical structures. These problems usually require the optimization of a …
Synergistic registration of CT-MRI brain images and retinal images: A novel approach leveraging reinforcement learning and modified artificial rabbit optimization
X Luo, H Zou, Y Hu, P Gui, Y Xu, D Zhang, W Hu, M Hu - Neurocomputing, 2024 - Elsevier
Medical image registration is a pivotal application within the field of medical imaging. It
entails the fusion of commonalities among data of disparate modalities into a unified …
entails the fusion of commonalities among data of disparate modalities into a unified …
Deep rigid registration for slice-to-volume in real time
S Zheng, Y Wang, X Yang, X Deng, M Ding… - Expert Systems with …, 2024 - Elsevier
Slice-to-volume registration that achieves high accuracy in real time is one of the enabling
technologies for clinical imaging scenarios. Recently, deep learning methods have been …
technologies for clinical imaging scenarios. Recently, deep learning methods have been …
[HTML][HTML] Evaluation of AI-based Gleason grading algorithms" in the wild"
The biopsy Gleason score is an important prognostic marker for prostate cancer patients. It
is, however, subject to substantial variability among pathologists. Artificial intelligence (AI) …
is, however, subject to substantial variability among pathologists. Artificial intelligence (AI) …
[PDF][PDF] Bone-Aware Generative Adversarial Network with Supervised Attention Mechanism for MRI-Based Pseudo-CT Synthesis.
G Dovletov, U Karadeniz, S Lörcks, J Pauli, M Gratz… - BIOSTEC (1), 2024 - scitepress.org
Deep learning techniques offer the potential to learn the mapping function from MRI to CT
domains, allowing the generation of synthetic CT images from MRI source data. However …
domains, allowing the generation of synthetic CT images from MRI source data. However …
Image Registration Guided Brain Tumour Segmentation and Advancements
K Mundada, M Badgujar, A Sarde… - … on Innovations and …, 2024 - ieeexplore.ieee.org
In the field of medical imaging, detecting brain tumors through image registration poses a
formidable challenge. Automated tools play a vital role in non-invasively identifying and …
formidable challenge. Automated tools play a vital role in non-invasively identifying and …