Weakly supervised Bayesian shape modeling from unsegmented medical images
Anatomical shape analysis is pivotal in clinical research and hypothesis testing, where the
relationship between form and function is paramount. Correspondence-based statistical …
relationship between form and function is paramount. Correspondence-based statistical …
Point2ssm: Learning morphological variations of anatomies from point cloud
J Adams, S Elhabian - arXiv preprint arXiv:2305.14486, 2023 - arxiv.org
We introduce Point2SSM, a novel unsupervised learning approach that can accurately
construct correspondence-based statistical shape models (SSMs) of anatomy directly from …
construct correspondence-based statistical shape models (SSMs) of anatomy directly from …
Point2SSM++: Self-Supervised Learning of Anatomical Shape Models from Point Clouds
J Adams, S Elhabian - arXiv preprint arXiv:2405.09707, 2024 - arxiv.org
Correspondence-based statistical shape modeling (SSM) stands as a powerful technology
for morphometric analysis in clinical research. SSM facilitates population-level …
for morphometric analysis in clinical research. SSM facilitates population-level …
Prediction of Disease-Related Femur Shape Changes Using Geometric Encoding and Clinical Context on a Hip Disease CT Database
The accurate prediction of femur shape changes due to hip diseases is potentially useful for
early diagnosis, treatment planning, and the assessment of disease progression. This study …
early diagnosis, treatment planning, and the assessment of disease progression. This study …
Point Cloud Upsampling as Statistical Shape Model for Pelvic
T Zhang, B Wang - arXiv preprint arXiv:2501.16716, 2025 - arxiv.org
We propose a novel framework that integrates medical image segmentation and point cloud
upsampling for accurate shape reconstruction of pelvic models. Using the SAM-Med3D …
upsampling for accurate shape reconstruction of pelvic models. Using the SAM-Med3D …
Streamlining Statistical Shape Modeling: Safety, Feasibility, and Broader Applications
JR Adams - 2024 - search.proquest.com
Statistical shape modeling (SSM) is emerging as an important tool in medical image
analysis, allowing for population-based quantitative evaluation of morphometrics. SSM …
analysis, allowing for population-based quantitative evaluation of morphometrics. SSM …
[引用][C] Research challenges and emerging futuristic evolution for 3D medical image processing
V Upadhyaya, NK Gupta - 2024 - Elsevier