Publications and Abstract Presentations

Recent Publications (2021-2022)

 

  1. Grubic N, Hill B, Phelan D, Baggish A, Dorian P, Johri AM (2022) Bystander interventions and survival after exercise-related sudden cardiac arrest: a systematic review. Br J Sports Med. 2022 56(7):410-416. doi: 10.1136/bjsports-2021-104623
  1. Barr LC, Herr JE, Hétu MF, Smith GN, Johri AM (2022) Increased carotid artery stiffness after preeclampsia in a cross‐sectional study of postpartum women. Physiol Rep. 10(8):e15276. doi: 10.14814/phy2.15276
  1. Liblik K, Théberge E, Gomes Z, Burbidge E, Menon N, Gobran J, Johri AM (2022) Improving Wellbeing After Acute Coronary Syndrome. Curr Probl Cardiol. 7:101201. doi: 10.1016/j.cpcardiol.2022.101201
  1. Johri AM, Hétu MF, Heyland DK, Herr JE, Korol J, Froese S, Norman PA, Day AG, Matangi MF, Michos ED, LaHaye SA, Saunders FW, Spence JD. (2022) Progression of atherosclerosis with carnitine supplementation: a randomized controlled trial in the metabolic syndrome. Nutr Metab (Lond). 2022 Apr 2;19(1):26.
  1. Mensour EA, Liblik K, Mantella LE, Johri AM (2022) Depressive Symptoms and Inflammatory Markers Following Acute Myocardial Infarction: A Scoping Review. Health Sciences Review, 100020.
  1. Suri JS, Bhagawati M, Paul S, Protogerou AD, Sfikakis PP, Kitas GD, Khanna NN, Ruzsa Z, Sharma AM, Saxena S, Faa G, Laird JR, Johri AM, Kalra MK, Paraskevas KI, Saba L (2022) A Powerful Paradigm for Cardiovascular Risk Stratification Using Multiclass, Multi-Label, and Ensemble-Based Machine Learning Paradigms: A Narrative Review. Diagnostics (Basel) 12(3):722. doi: 10.3390/diagnostics12030722
  1. Johri AM, Nambi V, Sillesen H (2022) Response to Azarpazhooh et al., Reliability, Reproducibility and Advantages of Measuring Carotid Total Plaque Area. J Am Soc Echocardiogram 35(5):532. doi: 10.1016/j.echo.2022.01.015. Epub 2022 Feb 5.
  1. Suri JS, Bhagawati M, Paul S, Protogerou AD, Sfikakis PP, Kitas GD, Khanna NN, Ruzsa Z, Sharma AM, Saxena S, Faa G, Laird JR, Johri AM, Kalra MK, Paraskevas KI, Saba L (2022) A Powerful Paradigm for Cardiovascular Risk Stratification Using Multiclass, Multi-Label, and Ensemble-Based Machine Learning Paradigms: A Narrative Review. Diagnostics (Basel) 12(3):722. doi: 10.3390/diagnostics12030722
  1. Suri JS, Bhagawati M, Paul S, Protogeron A, Sfikakis PP, Kitas GD, Khanna NN, Ruzsa Z, Sharma AM, Saxena S, Faa G, Paraskevas KI, Laird JR, Johri AM, Luca Saba L, Kalra M (2022) Understanding the bias in machine learning systems for cardiovascular disease risk assessment: The first of its kind review. Computers in Biology and Medicine. 142:105204.
  1. Jain PK, Sharma N, Saba L, Paraskevas PI, Kalra MK, Johri A, Nicolaides AN, Suri JS (2022) Automated deep learning-based paradigm for high-risk plaque detection in B-mode common carotid ultrasound scans: an asymptomatic Japanese cohort study. International Angiology: a Journal of the International Union of Angiology 41(1):9-23.
  1. Konstantonis G, Singh KV, Sfikakis PP, Jamthikar AD, Kitas GD, Gupta SK, Saba L, Verrou K, Khanna NN, Ruzsa Z, Sharma AM, Laird JR, Johri AM, Kalra M, Protogerou A, Suri JS (2022) Cardiovascular disease detection using machine learning and carotid/femoral arterial imaging frameworks in rheumatoid arthritis patients. Rheumatology International. 42(2): 215–239.
  1. Jamthikar A, Gupta D, Johri AM, Mantella LE, Saba L, Suri JS (2022) A machine learning framework for risk prediction of multi-label cardiovascular events based on focused carotid plaque B-Mode ultrasound: A Canadian study. Computers in Biology and Medicine. 140: 105102.
  1. Jamthikar AD, Gupta D, Mantella LE, Saba L, Johri AM, JS Suri (2022) Ensemble Machine Learning and its Validation for Prediction of Coronary Artery Disease and Acute Coronary Syndrome using Focused Carotid Ultrasound. IEEE Transactions on Instrumentation and Measurement. 71: 1-10.
  1. Skandha SS, Nicolaides A, Gupta SK, Koppula VK, Saba L, Johri AM, Kalra SK, Suri JS (2021) A hybrid deep learning paradigm for carotid plaque tissue characterization and its validation in multicenter cohorts using a supercomputer framework. Computers in biology and medicine. 141:105131.
  1. Held C, Liblik K, Mulvagh SL, Hindmarch CCT, Alavi N, Johri AM (2021) Emotional distress in women after acute myocardial infarction – still a long way to walk. Trends Cardiovasc Med (in press) https://doi.org/10.1016/j.tcm.2021.08.007
  1. Jain PK, Sharma N, Saba L, Paraskevas KI, Kalra MK, Johri A, Laird JR, Nicolaides AN, Suri JS (2021) Unseen Artificial Intelligence—Deep Learning Paradigm for Segmentation of Low Atherosclerotic Plaque in Carotid Ultrasound: A Multicenter Cardiovascular Study. Diagnostics 11:2257.
  1. Suri JS, Agarwal S, Carriero A, Paschè A, Danna PSC, Columbu M, Saba L, Viskovic K, Mehmedović A, Agarwal S, Gupta L, Faa G, Singh IM, Turk M, Chadha PS, Johri AM, Khanna NN, Mavrogeni S, Laird JR, Pareek G, Miner M, Sobel DW, Balestrieri A, Sfikakis PP, Tsoulfas G, Protogerou A, Misra DP, Agarwal V, Kitas GD, Teji JS, Al-Maini M, Dhanjil SK, Nicolaides A, Sharma A, Rathore V, Fatemi M, Alizad A, Krishnan PR, Nagy F, Ruzsa Z, Gupta A, Naidu S, Paraskevas KI, Kalra MK (2021) COVLIAS 1.0 vs. MedSeg: Artificial Intelligence-Based Comparative Study for Automated COVID-19 Computed Tomography Lung Segmentation in Italian and Croatian Cohorts. Diagnostics 11:2367.
  1. Suri JS, Agarwal A, Pathak R, Ketireddy V, Columbu M, Saba L, Gupta SK, Faa G, Singh IM, Turk M, Chadha PS, Johri AM, Khanna NN, Viskovic K, Mavrogeni S, Laird JR, Pareek G, Miner M, Sobel DW, Balestrieri A, Sfikakis PP, George T, Protogerou A, Misra DP, Agarwal V, Kitas GD, Teji JS, Al-Maini M, Dhanjil SK, Nicolaides A, Sharma A, Rathore V, Fatemi M, Alizad A, Krishnan PR, Frence N, Ruzsa Z, Gupta A, Naidu S, Kalra M (2021) COVLIAS 1.0: Lung Segmentation in COVID-19 Computed Tomography Scans Using Hybrid Deep Learning Artificial Intelligence Models. Diagnostics 11(8):1405.
  1. Klassen SL, Nunes MCP, Johri A, McClanahan C, Picard MH (2021) Focused Cardiac Ultrasound for the Evaluation of Heart Valve Disease in Resource-Limited Settings. Current Treatment Options in Cardiovascular Medicine. 23:1-22.
  1. Munjral S, Ahluwalia P, Jamthikar AD, Puvvula A, Saba L, Faa G, Singh IM, Chadha PS, Turk M, Johri AM, Khanna NN, Viskovic K, Mavrogeni S, Laird JR, Pareek G, Miner M, Sobel DW, Balestrieri A, Sfikakis PP, Tsoulfas G, Protogerou A, Misra P, Agarwal V, Kitas GD, Kolluri R, Teji J, Al-Maini M, Dhanjil SK, Sockalingam M, Saxena A, Sharma A, Rathore V, Fatemi M, Alizad A, Viswanathan V, Krishnan PK, Omerzu T, Naidu S, Nicolaides A, Suri JS (2021) Nutrition, atherosclerosis, arterial imaging, cardiovascular risk stratification, and manifestations in COVID-19 framework: a narrative review. Frontiers in bioscience (Landmark edition). 26:1312-1339.
  1. Grubic N, Hill B, Phelan D, Baggish A, Dorian P, Johri AM (2021) Bystander interventions and survival after exercise-related sudden cardiac arrest: a systematic review. British journal of sports medicine (in press).
  1. Sanagala SS, Nicolaides A, Gupta SK, Koppula VK, Saba L, Agarwal S, Johri AM, Kalra SK, Suri JS (2021) Ten Fast Transfer Learning Models for Carotid Ultrasound Plaque Tissue Characterization in Augmentation Framework Embedded with Heatmaps for Stroke Risk Stratification. Diagnostics 11:2109.
  1. Suri SS, Agarwal S, Elavarthi P, Pathak R, Ketireddy V, Columbu M, Saba L, Gupta SK, Faa G, Singh IM, Turk M, Chadha PS, Johri AM, Khanna NN, Viskovic K, Mavrogeni S, Laird JR, Pareek G, Miner M, Sobel DW, Balestrieri A, Sfikakis PP, Tsoulfas G, Protogerou A, Misra DP, Agarwal V, Kitas GD, Teji JS, Al-Maini M, Dhanjil SK, Nicolaides A, Sharma A, Rathore V, Fatemi M, Alizad A, Krishnan PR, Ferenc N, Ruzsa Z, Gupta A, Naidu S, Kalra MK (2021) Inter-Variability Study of COVLIAS 1.0: Hybrid Deep Learning Models for COVID-19 Lung Segmentation in Computed Tomography. Diagnostics 11:2025.
  1. Liblik K, Mulvagh SL, Hindmarch CCT, Alavi N, Johri AM (2021) Depression and anxiety following acute myocardial infarction in women. Trends Cardiovasc Med S1050-1738(21)00082-7. https://doi.org/10.1016/j.tcm.2021.07.005
  1. Colledanchise, KN, Mantella, LE, Hétu, MF, Liblik K, Abunassar JG, Johri AM. (2021) Femoral plaque burden by ultrasound is a better indicator of significant coronary artery disease over ankle brachial index. Int J Cardiovasc Imaging. 37(10):2965-2973. https://doi.org/10.1007/s10554-021-02334-9
  1. Boswell-Paterson CA, Hétu MF, Kearney A, Pang SC, Tse MY, Herr JE, Spence M, Zhou J, Johri AM. (2021) Vascularized Carotid Atherosclerotic Plaque Models for the Validation of Novel Methods of Quantifying Intraplaque Neovascularization. J Am Soc Echocardiogr. 34(11):1184-1194. https://doi.org/10.1016/j.echo.2021.06.003
  1. Biwas 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. (2021) A Review on Joint Carotid Intima-Media Thickness and Plaque Area Measurement in Ultrasound for Cardiovascular/Stroke Risk Monitoring: Artificial Intelligence Framework. J Digit Imaging. 34(3):581-604. https://doi.org/10.1007/s10278-021-00461-2
  1. Viswanathan V, Puvvula A, Jamthikar AD, Saba L, Johri AM, Kotsis V, Khanna NN, Dhanjil SK, Majhail M, Misra DP, Agarwal V, Kitas GD, Sharma AM, Kolluri R, Naidu S, Suri JS. (2021). Bidirectional link between diabetes mellitus and coronavirus disease 2019 leading to cardiovascular disease: A narrative review. World J Diabetes. 12(3): 215–237. https://doi.org/10.4239/wjd.v12.i3.215
  1. Agarwal M, Saba L, Gupta SK, Johri AM, Khanna NN, Mavrogeni S, Laird JR, Pareek G, Miner M, Sfikakis PP, Protogerou A, Sharma AM, Viswanathan V, Kitas GD, Nicolaides A, Suri JS. (2021) Wilson disease tissue classification and characterization using seven artificial intelligence models embedded with 3D optimization paradigm on a weak training brain magnetic resonance imaging datasets: a supercomputer application. Med Biol Eng Comput 59, 511–533. https://doi.org/10.1007/s11517-021-02322-0
  1. Saba L, Agarwal M, Patrick A, Puvvul A, Gupta SK, Carriero A, Laird JR, Kitas GD, Johri AM, Balestrieri A, Falaschi Z, Paschè A, Viswanathan V, El-Baz A, Alam I, Jain A, Naidu S, Oberleitner R, Khanna NN, Bit A, Fatemi M, Alizad A, Suri JS. (2021) Six artificial intelligence paradigms for tissue characterisation and classification of non-COVID-19 pneumonia against COVID-19 pneumonia in computed tomography lungs. Int J CARS 16, 423–434. https://doi.org/10.1007/s11548-021-02317-0
  1. Johri, AM, Mantella, LE, Jamthikar, AD, Saba L, Laird JR, Suri JS. (2021) Role of artificial intelligence in cardiovascular risk prediction and outcomes: comparison of machine-learning and conventional statistical approaches for the analysis of carotid ultrasound features and intra-plaque neovascularization. Int J Cardiovasc Imaging. https://doi.org/10.1007/s10554-021-02294-0
  1. Saba L, Sanagala SS, Gupta SK, Koppula VK, Laird JR, Viswanathan V, Sanches MJ, Kitas GD, Johri AM, Sharma N, Nicolaides A, Suri JS. (2021) A Multicenter Study on Carotid Ultrasound Plaque Tissue Characterization and Classification Using Six Deep Artificial Intelligence Models: A Stroke Application. IEEE Transactions on Instrumentation and Measurement. 70:1-12. https://doi.org/10.1109/TIM.2021.3052577.
  1. Grubic N, Jain S, Mihajlovic, Thornton JS, & Johri AM. (2021) Competing against COVID-19: have we forgotten about student-athletes’ mental health? British Journal of Sports Medicine. 55(17):1-11. http://dx.doi.org/10.1136/bjsports-2021-104218.
  1. Li Y, Fang L, Zhu X, Xie Y, Wang B, Lin H, Zhang D, Zhang Y, Yuan H, Wu C, Li H, Sun W, Zhang Y, Cui L, Cai Y, Wang J, Yang Y, Lv Q, Zhang L, Johri AM, Xie M (2021) Echocardiographic Characteristics and Outcome in Patients with COVID-19 Infection and Underlying Cardiovascular Disease. Front Cardiovasc Med. 8:642973.
  1. Saba L, Sanagala SS, Gupta SK, Koppula VK, Johri AM, Sharma AM, Kolluri R, Bhatt DL, Nicolaides A, Suri JS. (2021) Ultrasound-based internal carotid artery plaque characterization using deep learning paradigm on a supercomputer: a cardiovascular disease/stroke risk assessment system. Int J Cardiovasc Imaging. 37(5):1511-1528. doi: 10.1007/s10554-020-02124-9.
  1. Mantella LE, Johri AM (2021) A Call for Non-invasive Tools to Assess Cardiovascular Risk. J Am Soc Echocardiogr. 2021 34(3):A11-A12.
  1. Expert Panel on Cardiac Imaging; Rajiah P, Kirsch J, Bolen MA, Batlle JC, Brown RKJ, Francois CJ, Galizia MS, Hanneman K, Inacio JR, Johri AM, Lee DC, Singh SP, Villines TC, Wann S, Zimmerman SL, Abbara S. (2021). ACR Appropriateness Criteria® Nonischemic Myocardial Disease with Clinical Manifestations (Ischemic Cardiomyopathy Already Excluded) J Am Coll Radiol 18(5);S83-S105.
  1. Suri JS, Agarwal S, Gupta SK, Puvvula A, Biswas M, Saba L, Bit A, Tandel GS, Agarwal M, Patrick A, Faa G, Singh IM, Oberleitner R, Turk M, Chadha PS, Johri AM, Sanches JM, Khanna NN, Viskovic K, Mavrogeni S, Laird JR, Pareek G, Miner M, Sobel DW, Balestrieri A, Sfikakis PP, Tsoulfas G, Protogerou A, Misra DP, Agarwal V, Kitas GD, Ahluwalia A, Teji J, Al-Maini M, Dhanjil SK, Sockalingam M, Saxena A, Nicolaides A, Sharma A, Rathore V, Ajuluchukwu JNA, Fatemi M, Alizad A, Viswanathan V, Krishnan PK, Naidu A (2021) A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence. Comput Biol Med 130:104210.
  1. Johri AM, Lajkosz KA, Grubic N, Islam S, Li TY, Simpson CS, Ewart P, Suri SS, Hétu MF (2021) Maximum Plaque Height in Carotid Ultrasound Predicts Cardiovascular Disease Outcomes: A Population-Based Validation Study of the American Society of Echocardiography’s Grade II-III Plaque Characterization and Protocol. Int J Cardiovasc Imaging. 37(5):1601-1610.
  1. Mantella LE, Liblik K, Johri AM (2021) Vascular imaging of atherosclerosis: Strengths and weaknesses. Atherosclerosis 319:42-50. https://doi.org/10.1016/j.atherosclerosis.2020.12.021
  1. Jamthikar AD, Puvvula A, Gupta D, Johri AM, Nambi V, Khanna NN, Saba L, Mavrogeni S, Laird JR, Pareek G, Miner M, Sfikakis P, Protogerou A, Kitas GD, Nicolaides A, Sharma AM, Viswanathan V, Rathore VS, Kolluri R, Bhatt DL, Suri JS. (2021) Cardiovascular disease and stroke risk assessment in patients with chronic kidney disease using integration of estimated glomerular filtration rate, ultrasonic image phenotypes, and artificial intelligence: a narrative review. Int Angiol. 40(2):150-164 doi: 10.23736/S0392-9590.20.04538-1.
  1. McKinney J, Connelly KA, Dorian P, Fournier A, Goodman JM, Grubic N, Isserow S, Moulson N, Philippon F, Pipe A, Poirier P, Taylor T, Thornton J, Wilkinson M, Johri AM. (2021) COVID-19 – Myocarditis and Return-to-play: Reflections and Recommendations from a Canadian Working Group. Can J Cardiol. 37(8):1165-1174.
  1. Jamthikar AD, Gupta D, Mantella LE, Saba L, Laird JR, Johri AM, Suri JS. (2021) Multiclass machine learning vs. conventional calculators for stroke/CVD risk assessment using carotid plaque predictors with coronary angiography scores as gold standard: a 500 participants study. Int J Cardiovasc Imaging. 37(4):1171-1187.
  1. Saba L, Agarwal M, Sanagala SS, Gupta SK, Sinha GR, Johri AM, Khanna NN, Mavrogeni S, Laird JR, Pareek G, Miner M, Sfikakis PP, Protogerou A, Viswanathan V, Kitas GD, Suri JS. (2020) Brain MRI-based Wilson disease tissue classification: an optimised deep transfer learning approach. Electronic Letters. 56(25):1395-1398. https://doi.org/10.1049/el.2020.2102

Abstracts:

Queen’s Medical student research showcase. Research presented by Nabil Hawwa, CINQ – Sept. 18. 2019

Recent Conference Proceedings

  1. Hill B, Williamson M, Grubic N, Phelan DMJ, Baggish AL, Dorian P, Johri A (2022) Does cardiovascular preparticipation screening cause psychological distress in athletes? a systematic review. JACC 79 (9_Supplement), 1982-1982.
  1. Grubic N, Nihal S, Herr J, Lam J, Wing S, Wong S, Belliveau D, Gauthier S, Montague S, Johri A (2021) Accelerated Remote Consultation by Tele-POCUS in Cardiopulmonary Assessment (ARCTICA): A Proof-of-Concept Study. Journal of the American Society of Echocardiography. 34:1118.
  1. Grubic N, Hill B, Phelan D, Baggish A, Dorian P, Johri AM (2021) The role of bystander-initiated basic life support in exercise-related sudden cardiac arrest: a systematic review. European Heart Journal 42 (Supplement_1), ehab724. 0653
  1. Liblik L, Hu R, Foldes-Busque G, Johri A (2021) The FRIDA pilot study (Female Risk Factors for Post-Infarction Depression and Anxiety). Canadian Journal of Cardiology. 37: S17.
  1. Cui E, Hétu M, Jones O, Herr J, Alzafiri R, Ail G, Boswell-Patterson C, Pang S, Hindmarch C, Johri A (2021) Histologic Validation of a Novel 3D Ultrasound Approach to Detecting Vulnerable Atherosclerotic Plaque. Canadian Journal of Cardiology. 37: S75-S76.
  1. Belliveau D, Grubic N, Nihal S, Herr J, Lam J, Wong W, Montague S, Johri A (2021) Enhancing Cardio-Pulmonary Imaging Access to a First Nations Care Setting Using Point-of-Care Ultrasound and Remote Live-Streaming. Canadian Journal of Cardiology. 37: S36-S37.

ASE 2019

CCC 2017

CCC 2016