BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

85 related articles for article (PubMed ID: 30149250)

  • 1. Calcium detection, its quantification, and grayscale morphology-based risk stratification using machine learning in multimodality big data coronary and carotid scans: A review.
    Banchhor SK; Londhe ND; Araki T; Saba L; Radeva P; Khanna NN; Suri JS
    Comput Biol Med; 2018 Oct; 101():184-198. PubMed ID: 30149250
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A Dual-Modality Hybrid Imaging System Harnesses Radioluminescence and Sound to Reveal Molecular Pathology of Atherosclerotic Plaques.
    Zaman RT; Yousefi S; Long SR; Saito T; Mandella M; Qiu Z; Chen R; Contag CH; Gambhir SS; Chin FT; Khuri-Yakub BT; McConnell MV; Shung KK; Xing L
    Sci Rep; 2018 Jun; 8(1):8992. PubMed ID: 29895966
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Radiomics and artificial intelligence: General notions and applications in the carotid vulnerable plaque.
    Scicolone R; Vacca S; Pisu F; Benson JC; Nardi V; Lanzino G; Suri JS; Saba L
    Eur J Radiol; 2024 Jul; 176():111497. PubMed ID: 38749095
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Cardiovascular/stroke risk prevention: A new machine learning framework integrating carotid ultrasound image-based phenotypes and its harmonics with conventional risk factors.
    Jamthikar A; Gupta D; Khanna NN; Saba L; Laird JR; Suri JS
    Indian Heart J; 2020; 72(4):258-264. PubMed ID: 32861380
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Rheumatoid Arthritis: Atherosclerosis Imaging and Cardiovascular Risk Assessment Using Machine and Deep Learning-Based Tissue Characterization.
    Khanna NN; Jamthikar AD; Gupta D; Piga M; Saba L; Carcassi C; Giannopoulos AA; Nicolaides A; Laird JR; Suri HS; Mavrogeni S; Protogerou AD; Sfikakis P; Kitas GD; Suri JS
    Curr Atheroscler Rep; 2019 Jan; 21(2):7. PubMed ID: 30684090
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Advanced atherosclerosis imaging by CT: Radiomics, machine learning and deep learning.
    Kolossváry M; De Cecco CN; Feuchtner G; Maurovich-Horvat P
    J Cardiovasc Comput Tomogr; 2019; 13(5):274-280. PubMed ID: 31029649
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Advances in Noninvasive Carotid Wall Imaging with Ultrasound: A Narrative Review.
    Alexandratou M; Papachristodoulou A; Li X; Partovi S; Davidhi A; Rafailidis V; Prassopoulos P; Kamperidis V; Koutroulou I; Tsivgoulis G; Grigoriadis N; Krogias C; Karapanayiotides T
    J Clin Med; 2022 Oct; 11(20):. PubMed ID: 36294515
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Extracranial carotid plaque hemorrhage predicts ipsilateral stroke recurrence in patients with carotid atherosclerosis - a study based on high-resolution vessel wall imaging MRI.
    Che F; Mi D; Wang A; Ju Y; Sui B; Geng X; Zhao X; Zhao X
    BMC Neurol; 2022 Jun; 22(1):237. PubMed ID: 35764942
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A Review on Joint Carotid Intima-Media Thickness and Plaque Area Measurement in Ultrasound for Cardiovascular/Stroke Risk Monitoring: Artificial Intelligence Framework.
    Biswas M; Saba L; Omerzu T; Johri AM; Khanna NN; Viskovic K; Mavrogeni S; Laird JR; Pareek G; Miner M; Balestrieri A; Sfikakis PP; Protogerou A; Misra DP; Agarwal V; Kitas GD; Kolluri R; Sharma A; Viswanathan V; Ruzsa Z; Nicolaides A; Suri JS
    J Digit Imaging; 2021 Jun; 34(3):581-604. PubMed ID: 34080104
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Two-stage artificial intelligence model for jointly measurement of atherosclerotic wall thickness and plaque burden in carotid ultrasound: A screening tool for cardiovascular/stroke risk assessment.
    Biswas M; Saba L; Chakrabartty S; Khanna NN; Song H; Suri HS; Sfikakis PP; Mavrogeni S; Viskovic K; Laird JR; Cuadrado-Godia E; Nicolaides A; Sharma A; Viswanathan V; Protogerou A; Kitas G; Pareek G; Miner M; Suri JS
    Comput Biol Med; 2020 Aug; 123():103847. PubMed ID: 32768040
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Artificial intelligence in coronary artery calcium score: rationale, different approaches, and outcomes.
    Gennari AG; Rossi A; De Cecco CN; van Assen M; Sartoretti T; Giannopoulos AA; Schwyzer M; Huellner MW; Messerli M
    Int J Cardiovasc Imaging; 2024 May; 40(5):951-966. PubMed ID: 38700819
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Deep Learning Paradigm and Its Bias for Coronary Artery Wall Segmentation in Intravascular Ultrasound Scans: A Closer Look.
    Kumari V; Kumar N; Kumar K S; Kumar A; Skandha SS; Saxena S; Khanna NN; Laird JR; Singh N; Fouda MM; Saba L; Singh R; Suri JS
    J Cardiovasc Dev Dis; 2023 Dec; 10(12):. PubMed ID: 38132653
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Symmetry and asymmetry in atherosclerosis.
    Kolaszyńska O; Lorkowski J
    Int J Occup Med Environ Health; 2023 Dec; 36(6):693-703. PubMed ID: 37791506
    [TBL] [Abstract][Full Text] [Related]  

  • 14. One-step integrated coronary-carotid-cerebral computed tomography angiography to evaluate cardiovascular and cerebrovascular atherosclerosis.
    Liu S; Zhang Z; Liu B; Zhou S; Xie J; Han R; Kai S
    BMC Cardiovasc Disord; 2023 Jul; 23(1):367. PubMed ID: 37480020
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Cardiovascular disease/stroke risk stratification in deep learning framework: a review.
    Bhagawati M; Paul S; Agarwal S; Protogeron A; Sfikakis PP; Kitas GD; Khanna NN; Ruzsa Z; Sharma AM; Tomazu O; Turk M; Faa G; Tsoulfas G; Laird JR; Rathore V; Johri AM; Viskovic K; Kalra M; Balestrieri A; Nicolaides A; Singh IM; Chaturvedi S; Paraskevas KI; Fouda MM; Saba L; Suri JS
    Cardiovasc Diagn Ther; 2023 Jun; 13(3):557-598. PubMed ID: 37405023
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Recent applications of machine learning and deep learning models in the prediction, diagnosis, and management of diabetes: a comprehensive review.
    Afsaneh E; Sharifdini A; Ghazzaghi H; Ghobadi MZ
    Diabetol Metab Syndr; 2022 Dec; 14(1):196. PubMed ID: 36572938
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Detecting vulnerable carotid plaque and its component characteristics: Progress in related imaging techniques.
    Weng ST; Lai QL; Cai MT; Wang JJ; Zhuang LY; Cheng L; Mo YJ; Liu L; Zhang YX; Qiao S
    Front Neurol; 2022; 13():982147. PubMed ID: 36188371
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Intracranial Arterial Calcifications: Potential Biomarkers of Stroke Risk and Outcome.
    Fote GM; Raefsky S; Mock K; Chaudhari A; Shafie M; Yu W
    Front Neurol; 2022; 13():900579. PubMed ID: 36119671
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Brain Tumor Characterization Using Radiogenomics in Artificial Intelligence Framework.
    Jena B; Saxena S; Nayak GK; Balestrieri A; Gupta N; Khanna NN; Laird JR; Kalra MK; Fouda MM; Saba L; Suri JS
    Cancers (Basel); 2022 Aug; 14(16):. PubMed ID: 36011048
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A Machine Learning Based Framework to Identify and Classify Non-alcoholic Fatty Liver Disease in a Large-Scale Population.
    Ji W; Xue M; Zhang Y; Yao H; Wang Y
    Front Public Health; 2022; 10():846118. PubMed ID: 35444985
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.