SkullEngine: A Multi-stage CNN Framework for Collaborative CBCT Image Segmentation and Landmark Detection
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Abstract (arXiv)
We propose a multi-stage coarse-to-fine CNN-based framework, called SkullEngine, for high-resolution segmentation and large-scale landmark detection through a collaborative, integrated, and scalable JSD model and three segmentation and landmark detection refinement models. We evaluated our framework on a clinical dataset consisting of 170 CBCT/CT images for the task of segmenting 2 bones (midface and mandible) and detecting 175 clinically common landmarks on bones, teeth, and soft tissues.
Key facts. Cited by 5 papers in the map (data through 13 Oct 2026). Builds on 7 of its 19 references that are in the map. First posted on arXiv 7 Oct 2021.
Builds on
7 of 19 references.
References · 7
- 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,656
- 2016V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentationcited by 2,287
- 20163D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotationcited by 1,475
- 2019PointRend: Image Segmentation as Renderingcited by 439
- 2020Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stoppingcited by 381
- 2019Automated Design of Deep Learning Methods for Biomedical Image Segmentationcited by 27
- 2018Deep Geodesic Learning for Segmentation and Anatomical Landmarkingcited by 8
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Citing papers per year: 2022: 1; 2023: 2; 2024: 0; 2025: 1; 2026: 1.
5 papers.
- 2023Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-Disambiguationcited by 12
- 2022Deep Learning-based Facial Appearance Simulation Driven by Surgically Planned Craniomaxillofacial Bony Movementcited by 4
- 2023Soft-tissue Driven Craniomaxillofacial Surgical Planningcited by 0
- 2025Shape-preserving Tooth Segmentation from CBCT Images Using Deep Learning with Semantic and Shape Awarenesscited by 0
- 2026PINNOCHIO: Physics-Informed Neural Network for Coupled Hyperelastic Interface-Volume Simulation in Orthognathic Surgerycited by 0
- 2026PINNOCHIO: Physics-Informed Neural Network for Coupled Hyperelastic Interface-Volume Simulation in Orthognathic Surgery1 Jun 2026
- 2025Shape-preserving Tooth Segmentation from CBCT Images Using Deep Learning with Semantic and Shape Awareness21 Nov 2025
- 2023Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-Disambiguation17 Nov 2023
- 2023Soft-tissue Driven Craniomaxillofacial Surgical Planning20 Jul 2023
- 2022Deep Learning-based Facial Appearance Simulation Driven by Surgically Planned Craniomaxillofacial Bony Movement4 Oct 2022