31 citations · 92 across the 21 of their papers we have counts for
4 papers · 1 filter
VertXNet: Automatic Segmentation and Identification of Lumbar and Cervical Vertebrae from Spinal X-ray Images
Yao Chen, Yuanhan Mo, Aimee Readie +3
Manual annotation of vertebrae on spinal X-ray imaging is costly and time-consuming due to bone shape complexity and image quality variations. In this study, we address this challe…
Explaining Chest X-ray Pathologies in Natural Language
Maxime Kayser, Cornelius Emde, Oana-Maria Camburu +3
Most deep learning algorithms lack explanations for their predictions, which limits their deployment in clinical practice. Approaches to improve explainability, especially in medic…
Recursive Deformable Image Registration Network with Mutual Attention
Jian-Qing Zheng, Ziyang Wang, Baoru Huang +3
Deformable image registration, estimating the spatial transformation between different images, is an important task in medical imaging. Many previous studies have used learning-bas…
Residual Aligner Network
Jian-Qing Zheng, Ziyang Wang, Baoru Huang +2
Image registration is important for medical imaging, the estimation of the spatial transformation between different images. Many previous studies have used learning-based methods f…