Keyword search (4,163 papers available)

"damage" Keyword-tagged Publications:

Title Authors PubMed ID
1 Imaging flow cytometry-based cellular screening elucidates pathophysiology in individuals with Variants of Uncertain Significance Muffels IJJ; Waterham HR; D' Alessandro G; Zagnoli-Vieira G; Sacher M; Lefeber DJ; Van der Vinne C; Roifman CM; Gassen KLI; Rehmann H; Van Haaften-Visser DY; Nieuwenhuis ESS; Jackson SP; Fuchs SA; Wijk F; van Hasselt P; 39920830
BIOLOGY
2 Limited Differences in Insect Herbivory on Young White Spruce Growing in Small Open Plantations and under Natural Canopies in Boreal Mixed Forests Yataco AP; Noor S; Girona MM; Work T; Despland E; 38535391
BIOLOGY
3 SCANED: Siamese collateral assessment network for evaluation of collaterals from ischemic damage Aktar M; Xiao Y; Tehrani AKZ; Tampieri D; Rivaz H; Kersten-Oertel M; 38364600
ENCS
4 Alkali-Silica Reactions: Literature Review on the Influence of Moisture and Temperature and the Knowledge Gap Olajide OD; Nokken MR; Sanchez LFM; 38203865
ENCS
5 Transcriptional Profiling of the Candida albicans Response to the DNA Damage Agent Methyl Methanesulfonate Feng Y; Zhang Y; Li J; Omran RP; Whiteway M; Feng J; 35886903
BIOLOGY
6 Late-spring frost risk between 1959 and 2017 decreased in North America but increased in Europe and Asia. Zohner CM, Mo L, Renner SS, Svenning JC, Vitasse Y, Benito BM, Ordonez A, Baumgarten F, Bastin JF, Sebald V, Reich PB, Liang J, Nabuurs GJ, de-Miguel S, Alberti G, Antón-Fernández C, Balazy R, Brändli UB, Chen HYH, Chisholm C, Cienciala E, Dayanandan S, Fayle TM, Frizzera L, Gianelle D, Jagodzinski AM, Jaroszewicz B, Jucker T, Kepfer-Rojas S, Khan ML, Kim HS, Korjus H, Johannsen VK, Laarmann D, Lang M, Zawila-Niedzwiecki T, Niklaus PA, Paquette A, Pretzsch H, Saikia P, Schall P, Šeben V, Svoboda M, Tikhonova E, Viana H, Zhang C, Zhao X, Crowther TW 32393624
BIOLOGY
7 Wavelength-Selective Nonlinear Imaging and Photo-Induced Cell Damage by Dielectric Harmonic Nanoparticles. Kilin V, Campargue G, Fureraj I, Sakong S, Sabri T, Riporto F, Vieren A, Mugnier Y, Mas C, Staedler D, Collins JM, Bonacina L, Vogel A, Capobianco JA, Wolf JP 32282184
CNSR
8 Genotoxicity of cisplatin and carboplatin in cultured human lymphocytes: a comparative study. Azab B, Alassaf A, Abu-Humdan A, Dardas Z, Almousa H, Alsalem M, Khabour O, Hammad H, Saleh T, Awidi A 32206030
BIOLOGY
9 Water Droplet Erosion of Wind Turbine Blades: Mechanics, Testing, Modeling and Future Perspectives. Elhadi Ibrahim M, Medraj M 31906204
ENCS
10 O(6)-Alkylguanine DNA Alkyltransferase Repair Activity Towards Intrastrand Cross-Linked DNA is Influenced by the Internucleotide Linkage. O'Flaherty DK, Wilds CJ 26692563
CHEMISTRY

 

Title:SCANED: Siamese collateral assessment network for evaluation of collaterals from ischemic damage
Authors:Aktar MXiao YTehrani AKZTampieri DRivaz HKersten-Oertel M
Link:https://pubmed.ncbi.nlm.nih.gov/38364600/
DOI:10.1016/j.compmedimag.2024.102346
Publication:Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Keywords:CollateralsDeep learningIschemic damageSiamese network
PMID:38364600 Category: Date Added:2024-02-17
Dept Affiliation: ENCS
1 Concordia University, Gina Cody School of Engineering and Computer Science, 1455 De Maisonneuve Blvd. W., Montreal, H3g 1M8, Quebec, Canada. Electronic address: m_ktar@encs.concordia.ca.
2 Concordia University, Gina Cody School of Engineering and Computer Science, 1455 De Maisonneuve Blvd. W., Montreal, H3g 1M8, Quebec, Canada.
3 Queens University, Department of Diagnostic Radiology, Kingston Health Sciences Centre, Kingston General Hospital 76 Stuart Street Kingston, K7L 2V7, Ontario, Canada.

Description:

This study conducts collateral evaluation from ischemic damage using a deep learning-based Siamese network, addressing the challenges associated with a small and imbalanced dataset. The collateral network provides an alternative oxygen and nutrient supply pathway in ischemic stroke cases, influencing treatment decisions. Research in this area focuses on automated collateral assessment using deep learning (DL) methods to expedite decision-making processes and enhance accuracy. Our study employed a 3D ResNet-based Siamese network, referred to as SCANED, to classify collaterals as good/intermediate or poor. Utilizing non-contrast computed tomography (NCCT) images, the network automates collateral identification and assessment by analyzing tissue degeneration around the ischemic site. Relevant features from the left/right hemispheres were extracted, and Euclidean Distance (ED) was employed for similarity measurement. Finally, dichotomized classification of good/intermediate or poor collateral is performed by SCANED using an optimal threshold derived from ROC analysis. SCANED provides a sensitivity of 0.88, a specificity of 0.63, and a weighted F1 score of 0.86 in the dichotomized classification.





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