Zobrazeno 1 - 10
of 127
pro vyhledávání: '"Yunbo Rao"'
DAW-FA: Domain-aware adaptive weighting with fine-grain attention for unsupervised MRI harmonization
Autor:
Linda Delali Fiasam, Yunbo Rao, Collins Sey, Stacy E.B. Aggrey, Seth Larweh Kodjiku, Kwame Opuni-Boachie Obour Agyekum, Annicet Razafindratovolahy, Isaac Adjei-Mensah, Chiagoziem Chima Ukwuoma, Francis Sam
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 7, Pp 102157- (2024)
Magnetic resonance (MR) imaging often lacks standardized acquisition protocols across various sites, leading to contrast variations that reduce image quality and hinder automated analysis. MR harmonization improves consistency by integrating data fro
Externí odkaz:
https://doaj.org/article/ca33ec8e1e3e49aebe74e4b119e14d48
Publikováno v:
IET Computer Vision, Vol 17, Iss 5, Pp 576-585 (2023)
Abstract Point cloud completion is prevalent due to the insufficient results from current point cloud acquisition equipments, where a large number of point data failed to represent a relatively complete shape. Existing point cloud completion algorith
Externí odkaz:
https://doaj.org/article/0fdcedb9957344cc99aea642d9f6c2f2
Publikováno v:
IEEE Access, Vol 8, Pp 23624-23637 (2020)
In this paper, two types (i.e., type-A and type-B) of hybrid microstrip/defected ground structure (DGS) cells are proposed for passive circuit implementation with ultra-wide stopband. Both cells consist of the stepped-impedance DGS and embedded folde
Externí odkaz:
https://doaj.org/article/b4c66e7ba3b842349852636c5e4cf4b7
Publikováno v:
IEEE Access, Vol 8, Pp 92028-92038 (2020)
Accurate tooth segmentation from CBCT images is a crucial step for specialist to perform quantitative analysis, clinical diagnosis and operation. In this paper, we present a symmetric full convolutional network with residual block and Dense Condition
Externí odkaz:
https://doaj.org/article/29f037feff304e2c99470079b8899d3d
Publikováno v:
IEEE Access, Vol 8, Pp 176158-176169 (2020)
Target tracking based on Siamese network has reached the state-of-the-art performance. However is still limited in semantic feature extraction. In this paper, we propose a novel method to distinguish positive and negative samples. Taking deep neural
Externí odkaz:
https://doaj.org/article/b41f79393e9444bfbd956730db9f7995
Publikováno v:
IEEE Access, Vol 8, Pp 201700-201712 (2020)
Currently, object detectors based on CNN, such as RetinaNet, Faster-RCNN, CornerNet series, can achieve good performance, but have some common drawbacks, like large calculation cost, high model complexity and slow detection speed. In this paper, a ne
Externí odkaz:
https://doaj.org/article/d3edfae310964fdb85e26db3898899b2
Publikováno v:
IEEE Access, Vol 7, Pp 30142-30156 (2019)
Constructing a robust appearance model of the visual object is a crucial task for visual object tracking. Recently, more and more studies combine spatial feature with a temporal feature to improve the tracking performance. These methods successfully
Externí odkaz:
https://doaj.org/article/0de4bc27df5b4b25ad43022e693d097e
Publikováno v:
IEEE Access, Vol 7, Pp 37757-37769 (2019)
The 3-D reconstruction methods based on structure from motion (SfM) pipeline mainly use the traditional scale invariant feature detecting methods for feature matching. This type of methods suffers from the accuracy with affine matching in the image-b
Externí odkaz:
https://doaj.org/article/fa26254af6aa45ee8d374ae282274d30
Publikováno v:
Applied Sciences, Vol 12, Iss 7, p 3627 (2022)
Aerial object detection acts a pivotal role in searching and tracking applications. However, the large model, limited memory, and computing power of embedded devices restrict aerial pedestrian detection algorithms’ deployment on the UAV (unmanned a
Externí odkaz:
https://doaj.org/article/c9648e4c6b094254a3381880b761b7b5
Publikováno v:
IEEE Access, Vol 6, Pp 49902-49912 (2018)
Commodity object retrieval is a key issue in the application of self-service shopping and so on. In this paper, we propose a saliency object detection-based unsupervised commodity object retrieval scheme. Since most commodity objects are conspicuous
Externí odkaz:
https://doaj.org/article/ba95db6dde074e81a9f67e90c4a202fd