Prospects of structural similarity index for medical image analysis
An image quality matrix provides a significant principle for objectively observing an image
based on an alteration between the original and distorted images. During the past two …
based on an alteration between the original and distorted images. During the past two …
A review of advances in image-guided orthopedic surgery
Orthopedic surgery remains technically demanding due to the complex anatomical
structures and cumbersome surgical procedures. The introduction of image-guided …
structures and cumbersome surgical procedures. The introduction of image-guided …
Evaluation of DIR algorithm performance in real patients for radiotherapy treatments: A systematic review of operator-dependent strategies
C Dossun, C Niederst, G Noel, P Meyer - Physica Medica, 2022 - Elsevier
Purpose The performance of deformable medical image registration (DIR) algorithms has
become a major concern. Methods We aimed to obtain updated information on DIR …
become a major concern. Methods We aimed to obtain updated information on DIR …
An automated unsupervised deep learning–based approach for diabetic retinopathy detection
Abstract As per the International Diabetes Federation (IDF) report, 35–60% of people
suffering from diabetic retinopathy (DR) have a history of diabetes. DR is one of the primary …
suffering from diabetic retinopathy (DR) have a history of diabetes. DR is one of the primary …
Contour‐guided deep learning based deformable image registration for dose monitoring during CBCT‐guided radiotherapy of prostate cancer
Purpose To evaluate deep learning (DL)‐based deformable image registration (DIR) for
dose accumulation during radiotherapy of prostate cancer patients. Methods and Materials …
dose accumulation during radiotherapy of prostate cancer patients. Methods and Materials …
Empirical evidence of the task-adapted reconstruction framework for joint CT reconstruction and segmentation
Powered by machine learning, computer-aided diagnostics support clinicians by
streamlining their work. In cancer screening, for instance, this technique often involves an …
streamlining their work. In cancer screening, for instance, this technique often involves an …
Distillation Learning Guided by Image Reconstruction for One-Shot Medical Image Segmentation
F Zhou, Y Zhou, L Wang, Y Peng, DE Carlson… - arxiv preprint arxiv …, 2024 - arxiv.org
Traditional one-shot medical image segmentation (MIS) methods use registration networks
to propagate labels from a reference atlas or rely on comprehensive sampling strategies to …
to propagate labels from a reference atlas or rely on comprehensive sampling strategies to …
Unsupervised deep learning-based medical image registration: a survey
T Duan, W Chen, M Ruan, X Zhang… - Physics in Medicine & …, 2025 - iopscience.iop.org
In recent decades, medical image registration technology has undergone significant
development, becoming one of the core technologies in medical image analysis. With the …
development, becoming one of the core technologies in medical image analysis. With the …
[HTML][HTML] Longitudinal Image Data for Outcome Modeling
JE van Timmeren, J Bussink, P Koopmans, RJ Smeenk… - Clinical Oncology, 2024 - Elsevier
In oncology, medical imaging is crucial for diagnosis, treatment planning and therapy
execution. Treatment responses can be complex and varied and are known to involve …
execution. Treatment responses can be complex and varied and are known to involve …
Development of a Subtraction Processing Technology for Assistance in the Comparative Interpretation of Mammograms
C Kai, S Kondo, T Otsuka, A Yoshida, I Sato… - Diagnostics, 2024 - mdpi.com
A comparative interpretation of mammograms has become increasingly important, and it is
crucial to develop subtraction processing and registration methods for mammograms …
crucial to develop subtraction processing and registration methods for mammograms …