21 papers · ranked by Valyu relevance
Nishant Sinha, Yujiang Wang, Nádia Moreira da Silva, Anna Miserocchi + 6 more
We assessed pre-operative structural brain networks and clinical characteristics of patients with drug resistant temporal lobe epilepsy (TLE) to identify correlates of post-surgical seizure outcome at 1 year and seizure relapses up to 5 years. We retrospectively examined data from 51 TLE patients who underwent anterior…
Nishant Sinha, Yujiang Wang, Nádia Moreira da Silva, Anna Miserocchi + 6 more
'Andrew W. McEvoy' 'Jane de Tisi' 'Sjoerd B. Vos' 'Gavin P. Winston' 'John S. Duncan' 'Peter N. Taylor'] Objective We assessed preoperative structural brain networks and clinical characteristics of patients with drug-resistant temporal lobe epilepsy (TLE) to identify correlates of postsurgical seizure recurrences.…
Chao Liu, Kin Gwn Lore, Zhanhong Jiang, Soumik Sarkar
Performance monitoring, anomaly detection, and root-cause analysis in complex cyber-physical systems (CPSs) are often highly intractable due to widely diverse operational modes, disparate data types, and complex fault propagation mechanisms. This paper presents a new data-driven framework for rootcause analysis, based…
Hezhe Qiao, Chaoxi Niu, Ling Chen, Guansong Pang
Graph anomaly detection (GAD) aims to identify abnormal nodes that differ from the majority of the nodes in a graph, which has been attracting significant attention in recent years. Existing generalist graph models have achieved remarkable success in different graph tasks but struggle to generalize to the GAD task.…
Fu Lin, Haonan Gong, Mingkang Li, Zitong Wang + 2 more
'Xuexiong Luo'] Graph structure patterns are widely used to model different area data recently. How to detect anomalous graph information on these graph data has become a popular research problem. The objective of this research is centered on the particular issue that how to detect abnormal graphs within a graph set.…
Yixin Liu, Shi-Yuan Li, Yu Zheng, Qingfeng Chen + 2 more
'Shirui Pan'] Graph anomaly detection (GAD), which aims to identify abnormal nodes that differ from the majority within a graph, has garnered significant attention. However, current GAD methods necessitate training specific to each dataset, resulting in high training costs, substantial data requirements, and limited…
Amaia Ochandorena-Saa, Emeline Perthame, Zoé Oulerich, Alexander Chamolly + 5 more
Left-right symmetry breaking in mice is considered to occur via node leftward fluid flow. The molecular cascade within the node has been reconstructed at high resolution. However, its importance for organogenesis remains poorly understood. Here we show in mutants for the motile cilium component CCDC40 that 70% of mice…
Imre Subicz, Balázs Sztanó, Géza Krasznai, András Vörös + 3 more
'László Tiszlavicz' 'Rezsö Borkó' 'László Rovó'] Palpable neck masses are often the only signs of patients visiting their ENT specialists. Lymphadenopathy may be a primary or secondary manifestation of numerous benign and malignant disorders. The medical history, physical examination, imaging and pathological…
Erin Close, Sarah Lumbrezer-Johnson, Eric Hostnik, Rhonda Burge + 2 more
'Ryan Jennings' 'Laura Selmic'] A 5-year-old male neutered mixed breed dog and an 8-year-old female spayed golden retriever presented for cervical swelling which was later diagnosed as abscessation of the retropharyngeal lymph node with a malignant round cell tumor and carcinoma with multifocal squamous…
Mohamed Radwan, Pedro G. Lind, Anis Yazidi
In this study, we investigate the use of temporal dynamics in brain connectivity for the classification of electroencephalography (EEG) signals using dynamic Graph Neural Networks (GNNs). Our methods are applied to several large-scale EEG datasets focused on abnormality and epilepsy detection. The implemented models…
Hezhe Qiao, Hanghang Tong, Bo An, Irwin King + 2 more
'Guansong Pang'] Abstract—Graph anomaly detection (GAD), which aims to identify unusual graph instances (e.g., nodes, edges, subgraphs, or graphs), has attracted increasing attention in recent years due to its significance in a wide range of applications. Deep learning approaches, graph neural networks (GNNs) in…
Yonghe Ding, Di Lang, Jianhua Yan, Haisong Bu + 11 more
Sick sinus syndrome (SSS) is a group of heart rhythm disorders caused by malfunction of the sinus node, the heart’s primary pacemaker. Partially owing to its aging-associated phenotypic manifestation and low expressivity, molecular mechanisms of SSS remain difficult to decipher. Here, we aim to develop a…
Authors not listed
The synthesis and structural characterization of a new metal organic framework, UoB-100(Dy), is reported. Average structure refinements indicate that the node is disordered between two orientations of the nonanuculear secondary building unit (SBU). By performing 3D diffuse scattering (DS) analysis and Monte Carlo (MC)…
Dong Wook Kim
Background No study on ultrasound-guided fine-needle aspiration (US-FNA) for the diagnosis of retrojugular lymph node has been reported. The present study aimed to introduce US-FNA techniques for retrojugular lymph node and to evaluate their efficacy. Methods Of the 788 patients who underwent US-FNA of the cervical…
Siavash Ghavami, Farshad Lahouti, Ali Masoudi‐Nejad
A scheme for detection of abnormality in molecular nano-networks is proposed. This is motivated by the fact that early diagnosis, classification and detection of diseases such as cancer play a crucial role in their successful treatment. The proposed nano-abnormality detection scheme (NADS) comprises of a two-tier…
Bo Yan, Cheng Yang, Chuan Shi, Jiawei Liu + 1 more
Abnormal event detection, which refers to mining unusual interactions among involved entities, plays an important role in many real applications. Previous works mostly oversimplify this task as detecting abnormal pair-wise interactions. However, real-world events may contain multi-typed attributed entities and complex…
Xingchen Li, Yuansheng Duan, Dandan Liu, Hongwei Liu + 8 more
'Kai Yue' 'Yanjie Shuai' 'Yu Wang' 'Chenyan Ji' 'Chao Jing' 'Yansheng Wu' 'Xudong Wang'] The Delphian lymph node (DLN), also known as the prelaryngeal node, is one component of the central lymph node. The DLN has been well studied in laryngeal cancer, although its significance in papillary thyroid cancer (PTC) remains…
David Bouget, André Pedersen, Johanna Vanel, Haakon Olav Leira + 1 more
'Thomas Langø'] Purpose: As lung cancer evolves, the presence of enlarged and potentially malignant lymph nodes must be assessed to properly estimate disease progression and select the best treatment strategy. Following the clinical guidelines, estimation of short-axis diameter and mediastinum station are paramount for…
Tobias Holm Bønnelykke, Marie-Amandine Chabry, Emeline Perthame, Audrey Desgrange + 1 more
The TGFβ secreted factor NODAL is a major left determinant required for the asymmetric morphogenesis of visceral organs, including the heart. Yet, when this signalling is absent, shape asymmetry, for example of the embryonic heart loop, is not fully abrogated, indicating that there are other factors regulating…
Changjing Cai, Hong Shen, Wenqiang Liu, Junli Ma + 6 more
'Ling Yin' 'Jindong Li' 'Liangfang Shen' 'Shan Zeng' 'Lu Wang.'] Title: Abstract Rationale: Thyroid metastasis from nasopharyngeal carcinoma is rare. Metastasis of nasopharyngeal carcinoma to the thyroid gland with subsequent metastatic abdominal lymph nodes hasn’t been reported before. We want to share our experience…
Zhen-Long Zhao, Ying Wei, Cai-Hong Liu, Li-Li Peng + 4 more
'Nai-Cong Lu' 'Jie Wu' 'Ming-An Yu'] Purpose Microwave ablation (MWA) is a minimally invasive method for the thermal ablation of benign thyroid nodules and papillary thyroid cancer (PTC) and has shown promising results. The aim of this study was to investigate the impact of MWA on thyroid antibodies and associated…