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Fleming Lure

Showing results (11-20 of 19) with videos related to

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Medrxiv : the Preprint Server for Health Sciences|May 10, 2023
Self-Supervised Contrastive Learning to Predict Alzheimer's Disease Progression with 3D Amyloid-PETMin Gu Kwak, Yi Su, Kewei Chen, et al.
Journal of Endodontics|August 3, 2024
Leveraging Pretrained Transformers for Efficient Segmentation and Lesion Detection in Cone-Beam Computed Tomography ScansRui Qi Chen, Yeonju Lee, Hao Yan, et al.
Frontiers in Oncology|April 14, 2023
Impact of localized fine tuning in the performance of segmentation and classification of lung nodules from computed tomography scans using deep learningJingwei Cai, Lin Guo, Litong Zhu, et al.
IISE Transactions on Healthcare Systems Engineering|September 6, 2024
Early Prediction of Progression to Alzheimer's Disease using Multi-Modality Neuroimages by a Novel Ordinal Learning Model ADPacerLujia Wang, Zhiyang Zheng, Yi Su, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|April 15, 2014
Prediction of near-term risk of developing breast cancer using computerized features from bilateral mammogramsWenqing Sun, Bin Zheng, Fleming Lure, et al.
Journal of Endodontics|November 18, 2023
Uncertainty-based Active Learning by Bayesian U-Net for Multi-label Cone-beam CT SegmentationJiayu Huang, Nazbanoo Farpour, Bingjian J Yang, et al.
IEEE Transactions on Automation Science and Engineering : a Publication of the IEEE Robotics and Automation Society|September 8, 2025
Oral-Anatomical Knowledge-Informed Semi-Supervised Learning for 3D Dental CBCT Segmentation and Lesion DetectionYeonju Lee, Min Gu Kwak, Rui Qi Chen, et al.
Medical Physics|July 2, 2015
Using multiscale texture and density features for near-term breast cancer risk analysisWenqing Sun, Tzu-Liang Bill Tseng, Wei Qian, et al.
Bioengineering (Basel, Switzerland)|October 28, 2023
Self-Supervised Contrastive Learning to Predict the Progression of Alzheimer's Disease with 3D Amyloid-PETMin Gu Kwak, Yi Su, Kewei Chen, et al.
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Showing results (11-20 of 19) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 19 results.
Medrxiv : the Preprint Server for Health Sciences|May 10, 2023
Self-Supervised Contrastive Learning to Predict Alzheimer's Disease Progression with 3D Amyloid-PETMin Gu Kwak, Yi Su, Kewei Chen, et al.
Journal of Endodontics|August 3, 2024
Leveraging Pretrained Transformers for Efficient Segmentation and Lesion Detection in Cone-Beam Computed Tomography ScansRui Qi Chen, Yeonju Lee, Hao Yan, et al.
Frontiers in Oncology|April 14, 2023
Impact of localized fine tuning in the performance of segmentation and classification of lung nodules from computed tomography scans using deep learningJingwei Cai, Lin Guo, Litong Zhu, et al.
IISE Transactions on Healthcare Systems Engineering|September 6, 2024
Early Prediction of Progression to Alzheimer's Disease using Multi-Modality Neuroimages by a Novel Ordinal Learning Model ADPacerLujia Wang, Zhiyang Zheng, Yi Su, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|April 15, 2014
Prediction of near-term risk of developing breast cancer using computerized features from bilateral mammogramsWenqing Sun, Bin Zheng, Fleming Lure, et al.
Journal of Endodontics|November 18, 2023
Uncertainty-based Active Learning by Bayesian U-Net for Multi-label Cone-beam CT SegmentationJiayu Huang, Nazbanoo Farpour, Bingjian J Yang, et al.
IEEE Transactions on Automation Science and Engineering : a Publication of the IEEE Robotics and Automation Society|September 8, 2025
Oral-Anatomical Knowledge-Informed Semi-Supervised Learning for 3D Dental CBCT Segmentation and Lesion DetectionYeonju Lee, Min Gu Kwak, Rui Qi Chen, et al.
Medical Physics|July 2, 2015
Using multiscale texture and density features for near-term breast cancer risk analysisWenqing Sun, Tzu-Liang Bill Tseng, Wei Qian, et al.
Bioengineering (Basel, Switzerland)|October 28, 2023
Self-Supervised Contrastive Learning to Predict the Progression of Alzheimer's Disease with 3D Amyloid-PETMin Gu Kwak, Yi Su, Kewei Chen, et al.
Pageof 2