Research graph
References from SinusNet+: deep condition-label-free segmentation of maxillary sinus conditions in cone-beam CT images. Local targets link to admitted publications; unresolved targets remain external evidence.
Endodontic implications of the maxillary sinus: a review
10.1046/j.0143-2885.2001.00524.x · 2002 · External reference
Topographic anatomy of the inferior wall of the maxillary sinus in Koreans
10.1016/j.ijom.2003.10.012 · 2004 · External reference
Association between maxillary sinus pathology and odontogenic lesions in patients evaluated by cone beam computed tomography. a systematic review and meta-analysis
10.4317/medoral.23172 · 2020 · External reference
Treatment strategy for odontogenic sinusitis
10.1177/1945892420946969 · 2021 · External reference
Implant survival rates after osteotome-mediated maxillary sinus augmentation: a systematic review
10.1111/j.1708-8208.2011.00399.x · 2012 · External reference
Effect of schneiderian membrane thickening on the maxillary sinus augmentation and implantation outcomes: a systematic review
10.1007/s12663-021-01551-y · 2021 · External reference
A study on the association between accessory maxillary ostium and maxillary sinus mucosal thickening using cone beam computed tomography
10.1186/s13005-021-00284-0 · 2021 · External reference
Evaluation of available height, location, and patency of the ostium for sinus augmentation from an implant treatment planning perspective
10.5624/isd.20200218 · 2021 · External reference
Cone beam computed tomography in implant dentistry: recommendations for clinical use
10.1186/s12903-018-0523-5 · 2018 · External reference
Image segmentation: methods and applications in diagnostic radiology and nuclear medicine
10.1016/0720-048x(93)90023-g · 1993 · External reference
Convolutional neural network for automatic maxillary sinus segmentation on cone-beam computed tomographic images
10.1038/s41598-022-11483-3 · 2022 · External reference
Deep active learning for automatic segmentation of maxillary sinus lesions using a convolutional neural network
10.3390/diagnostics11040688 · 2021 · External reference
Three-dimensional maxillary virtual patient creation by convolutional neural network-based segmentation on cone-beam computed tomography images
10.1007/s00784-022-04708-2 · 2023 · External reference
Deep learning-based fully automatic segmentation of the maxillary sinus on cone-beam computed tomographic images
10.1038/s41598-022-18436-w · 2022 · External reference
Automatic detection and segmentation of morphological changes of the maxillary sinus mucosa on cone-beam computed tomography images using a three-dimensional convolutional neural network
10.1007/s00784-021-04365-x · 2022 · External reference
Unresolved reference
2022 · External reference
Impact of dataset size on classification performance: an empirical evaluation in the medical domain
10.3390/app11020796 · 2021 · External reference
Unresolved reference
2019 · External reference
Constrained unsupervised anomaly segmentation
10.1016/j.media.2022.102526 · 2022 · External reference
Unresolved reference
2023 · External reference
Unresolved reference
2020 · External reference
Fully automatic segmentation, identification and preoperative planning for nasal surgery of sinuses using semi-supervised learning and volumetric reconstruction
10.3390/math10071189 · 2022 · External reference
Unresolved reference
2019 · External reference
Unresolved reference
2013 · External reference
Label-free segmentation of COVID-19 lesions in lung CT
10.1109/tmi.2021.3066161 · 2021 · External reference
Unresolved reference
2023 · External reference
Unresolved reference
2023 · External reference
Learning from synthetic CT images via test-time training for liver tumor segmentation
10.1109/tmi.2022.3166230 · 2022 · External reference
3D slicer as an image computing platform for the quantitative imaging network
10.1016/j.mri.2012.05.001 · 2012 · External reference
Unresolved reference
2021 · External reference
Unresolved reference
2015 · External reference
Unresolved reference
2017 · External reference
Unresolved reference
2014 · External reference
Unresolved reference
2017 · External reference
Segformer: simple and efficient design for semantic segmentation with transformers
2021 · External reference
A novel constrained dense convolutional autoencoder and DNN-based semi-supervised method for shield machine tunnel geological formation recognition
10.1016/j.ymssp.2021.108353 · 2022 · External reference
Unet++: redesigning skip connections to exploit multiscale features in image segmentation
10.1109/tmi.2019.2959609 · 2020 · External reference
Unresolved reference
2019 · External reference
f-anogan: fast unsupervised anomaly detection with generative adversarial networks
10.1016/j.media.2019.01.010 · 2019 · External reference
Dosimetry of 3 CBCT devices for oral and maxillofacial radiology: CB Mercuray, Newtom 3G and I-CAT
10.1259/dmfr/14340323 · 2006 · External reference
Unresolved reference
2022 · External reference
Automatic maxillary sinus segmentation and pathology classification on cone-beam computed tomographic images using deep learning
10.1186/s12903-024-04924-0 · 2024 · External reference
