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Impact of Deep Learning Auto Segmentation Accuracy on Duodenal Dose-Volume Parameters for Pancreas SBRT Patients Treated with MR-Guided Online Adaptive Radiotherapy.

• Authors : Conlin, R.¹ (AUTHOR); Amjad, A.¹ (AUTHOR); Zhang, Y.¹ (AUTHOR)

Subjects: *DEEP learning; *RANK correlation (Statistics); *PANCREAS

• Source: International Journal of Radiation Oncology, Biology, Physics. 2024 Supplement, Vol. 120 Issue 2, pe616-e617. 2p.

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Applied Science & Technology Full Text (H.W. Wilson)

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Applied Science & Technology Full Text (H.W. Wilson)

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Applied Science & Technology Full Text (H.W. Wilson)

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Attention-based approach to predict drug–target interactions across seven target superfamilies.

• Authors : Schulman, Aron¹ (AUTHOR); Rousu, Juho² (AUTHOR); Aittokallio, Tero^1,3,4,5 (AUTHOR)

Subjects: *DRUG repositioning; *RANK correlation (Statistics); *MACHINE learning

• Source: Bioinformatics. Aug2024, Vol. 40 Issue 8, p1-14. 14p.

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Towards a unified approach for unsupervised brain MRI Motion Artefact Detection with few shot Anomaly Detection.

• Authors : Belton, Niamh^1,2 (AUTHOR) ; Hagos, Misgina Tsighe^1,3 (AUTHOR); Lawlor, Aonghus^3,4 (AUTHOR)

Subjects: *MAGNETIC resonance imaging; *RANK correlation (Statistics); *ROBOT motion

• Source: Computerized Medical Imaging & Graphics. Jul2024, Vol. 115, pN.PAG-N.PAG. 1p.

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Deep Learning-Based Segmentation of Lesions from Wide-Field Vitiligo Images.

• Authors : Fan, Zhuangzhuang; Wang, Changqing

Subjects: TRANSFORMER models; VITILIGO; RANK correlation (Statistics)

• Source: International Journal of Pattern Recognition & Artificial Intelligence; Aug2024, Vol. 38 Issue 10, p1-17, 17p

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Detection of diffusely abnormal white matter in multiple sclerosis on multiparametric brain MRI using semi-supervised deep learning.

• Authors : Musall, Benjamin C.; Gabr, Refaat E.; Yang, Yanyu

Subjects: DEEP learning; LEUKODYSTROPHY; SUPERVISED learning

• Source: Scientific Reports; 7/26/2024, Vol. 14 Issue 1, p1-10, 10p

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A Predictive Model for Voltage Transformer Ratio Error Considering Load Variations.

• Authors : Li, Zhenhua; Cui, Jiuxi; Rocha, Paulo R. F.

Subjects: ELECTRIC transformers; ELECTRIC charge; TRANSFORMER models

• Source: World Electric Vehicle Journal; Jun2024, Vol. 15 Issue 6, p269, 17p

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Convolutional Neural Network for Fully Automated Cerebellar Volumetry in Children in Comparison to Manual Segmentation and Developmental Trajectory of Cerebellar Volumes.

• Authors : Sobootian, Daria Juliane; Bronzlik, Paul; Spineli, Loukia M.

Subjects: CONVOLUTIONAL neural networks; MACHINE learning; VOLUME (Cubic content)

• Source: Cerebellum; Jun2024, Vol. 23 Issue 3, p1074-1085, 12p

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