Wang Yaqi (53 results)
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Semi-supervised Tooth Segmentation : First Miccai Challenge, Semitoothseg 2023, Held in Conjunction With Miccai 2023, Vancouver, Bc, Canada, October 8, 2023, Proceedings
Wang, Yaqi (EDT); Chen, Xiaodiao (EDT); Qian, Dahong (EDT); Ye, Fan (EDT); Wang, Shuai (EDT)
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Semi-supervised Tooth Segmentation : First Miccai Challenge, Semitoothseg 2023, Held in Conjunction With Miccai 2023, Vancouver, Bc, Canada, October 8, 2023, Proceedings
Wang, Yaqi (EDT); Chen, Xiaodiao (EDT); Qian, Dahong (EDT); Ye, Fan (EDT); Wang, Shuai (EDT)
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Semi-supervised Tooth Segmentation : First Miccai Challenge, Semitoothseg 2023, Held in Conjunction With Miccai 2023, Vancouver, Bc, Canada, October 8, 2023, Proceedings
Wang, Yaqi (EDT); Chen, Xiaodiao (EDT); Qian, Dahong (EDT); Ye, Fan (EDT); Wang, Shuai (EDT)
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Semi-supervised Tooth Segmentation : First Miccai Challenge, Semitoothseg 2023, Held in Conjunction With Miccai 2023, Vancouver, Bc, Canada, October 8, 2023, Proceedings
Wang, Yaqi (EDT); Chen, Xiaodiao (EDT); Qian, Dahong (EDT); Ye, Fan (EDT); Wang, Shuai (EDT)
- Softcover
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the proceedings of the First MICCAI 2023 Challenge on Semi-supervisedTooth Segmentation, SemiToothSeg 2023, held in Conjunction with MICCAI 2023, in Vancouver, BC, Canada, on October 8, 2023.The 16 full papers presented in thi…s book were carefully reviewed and selected from 64 submissions. The papers were written by participants in the STS challenge to describe their solutions for automatic teeth segmentation using the offcial training dataset released for this purpose.In general, this challenge aims to promote the development of the teeth segmentation in panoramic X-ray images and dental CBCT scans.
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Taschenbuch. Condition: Neu. Semi-supervised Tooth Segmentation | First MICCAI Challenge, SemiToothSeg 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings | Yaqi Wang (u. a.) | Taschenbuch | Lecture Notes in Computer Science | x | Englisch | 2024 | Springer | EAN 9783031723957 | Verant…wortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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- Softcover
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- Softcover
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- Softcover
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- Softcover
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Taschenbuch. Condition: Neu. Supervised and Semi-supervised Multi-structure Segmentation and Landmark Detection in Dental Data | MICCAI 2024 Challenges: ToothFairy 2024, 3DTeethLand 2024, and STS 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings | Yaqi Wang (u. a.) | Taschenbuch | Lectu…re Notes in Computer Science | xvii | Englisch | 2025 | Springer | EAN 9783031889769 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
- Softcover
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes three challenges that were held in conjunction with the 27th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco, on October 6, 2024: ToothFairy challenge(…ToothFairy2: Multi-Structure Segmentation in CBCT Volumes), Semi-supervised Teeth Segmentation (STS 2024), and the 3DTeethLand (3D Teeth Landmarks Detection Challenge).The 21 papers presented in this volume were carefully reviewed and selected from 28 submissions. ToothFairy challenges focused on the development of deep learning frameworks to segment anatomical structures in CBCTs by incrementally extending the amount of publicly available 3D-annotated CBCT scans and providing the first publicly available fully annotated datasets. The STS Challenge promoted the development of teeth segmentation in panoramic X-ray images and CBCT scans. It also provided instance annotations for different teeth, including pertinent category information. The 3DTeethLand24 Challenge played a key role in advancing automation and leveraging AI to optimize orthodontic treatments. It also aims to tackle the challenge of limited access to data, providing a valuable resource that encourages community engagement in this vital area with potential clinical implications.
Faraday Laser: A Frequency-Stabilized Diode Laser Based on Faraday Atomic Optical Filters
Chen, Jingbiao; Shi, Tiantian; Pan, Duo; Ge, Zheyi; Zhang, Jia; Liu, Zijie; Qin, Xiaomin; Wang, Yaqi
- Hardcover
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