Search Results - Pradeep Narayan

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  1. 1

    Trend and early outcomes in isolated surgical aortic valve replacement in the United Kingdom by Jeremy Chan, Arnaldo Dimagli, Daniel P. Fudulu, Shubhra Sinha, Pradeep Narayan, Pradeep Narayan, Tim Dong, Gianni D. Angelini

    Published in Frontiers in Cardiovascular Medicine (2023-01-01)
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  2. 2

    Editorial: Current trends and strategies for the management of type A aortic dissection by Giovanni Mariscalco, Metesh Acharya, Varun Shetty, Pradeep Narayan

    Published in Frontiers in Cardiovascular Medicine (2022-11-01)
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  3. 3

    Hybrid approach for management of type B dissection involving the aortic arch by Shreyas Potdar, Pradeep Narayan, Shuvro Roy Choudhury, Atanu Saha

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  4. 4

    A Study on Radiation Level at the Treatment Plane Due to Induced Activity in Linear Accelerator Head by Sonal Varshney, Lalit Kumar, Umesh K. Dwivedi, Pradeep Narayan

    Published in Journal of Medical Physics (2024-09-01)
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  5. 5

    Cardiovascular diseases and the heart–gut cross talk by Snehali Majumder, Rohan Kiritkumar Makwana, Varun Shetty, Suparna Mukherjee, Pradeep Narayan

    Published in Indian Heart Journal (2024-03-01)
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  6. 6

    Hospital readmission after heart valve surgery in the United KingdomCentral MessagePerspective by Jeremy Chan, MD, Pradeep Narayan, MD, Tim Dong, BSc, Daniel P. Fudulu, MD, PhD, Gianni D. Angelini, MD

    Published in JTCVS Open (2025-04-01)
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  7. 7

    Authors’ Response to Peer Reviews of “Performance Drift in Machine Learning Models for Cardiac Surgery Risk Prediction: Retrospective Analysis” by Tim Dong, Shubhra Sinha, Ben Zhai, Daniel Fudulu, Jeremy Chan, Pradeep Narayan, Andy Judge, Massimo Caputo, Arnaldo Dimagli, Umberto Benedetto, Gianni D Angelini

    Published in JMIRx Med (2024-06-01)
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  8. 8

    Performance Drift in Machine Learning Models for Cardiac Surgery Risk Prediction: Retrospective Analysis by Tim Dong, Shubhra Sinha, Ben Zhai, Daniel Fudulu, Jeremy Chan, Pradeep Narayan, Andy Judge, Massimo Caputo, Arnaldo Dimagli, Umberto Benedetto, Gianni D Angelini

    Published in JMIRx Med (2024-06-01)
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  9. 9

    Leveraging ECG images for predicting ejection fraction using machine learning algorithms by Abhyuday Kumara Swamy, Vivek Rajagopal, Deepak Krishnan, Paramita Auddya Ghorai, Anagha Choukhande, Santhosh Rathnam Palani, Deepak Padmanabhan, Emmanuel Rupert, Devi Prasad Shetty, Pradeep Narayan

    Published in Indian Heart Journal (2025-05-01)
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  10. 10

    Cardiac surgery risk prediction using ensemble machine learning to incorporate legacy risk scores: A benchmarking study by Tim Dong, Shubhra Sinha, Ben Zhai, Daniel P Fudulu, Jeremy Chan, Pradeep Narayan, Andy Judge, Massimo Caputo, Arnaldo Dimagli, Umberto Benedetto, Gianni D Angelini

    Published in Digital Health (2023-07-01)
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  11. 11

    Heart Transplant in West Bengal: Insights from a Collective Experience of Multiple Centers in an Indian State by Debasis Das, Nilanjan Dutta, Shubhadeep Das, Pradeep Narayan, Ayan Kar, Mrinalendu Das, Lalit Kapoor, Kunal Sarkar, Soumyajit Ghosh, Subhendu Sekhar Mahapatra, Plaban Mukherjee, Subrata Dey, Tamashis Mukherjee, Kayapanda Mandana, Tapas RayChaudhury

    Published in Indian Journal of Transplantation (2025-04-01)
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  12. 12

    Cresp®: transforming the landscape of chemotherapy-induced anemia - a comprehensive retrospective real-world analysis in 523 Indian patients by MV Chandrakanth, Vivek Agarwala, Pranav Sopory, Himadri Nayak, Purvish M. Parikh, Minakshi Roy, Rajib De, Pradeep Narayan, Anjuli Tuladhar Barai, Kaustav Mandal, Moinak Basu, Subhabrata Kumar, Rajdeep Singh Uppal, Syed Mujtaba Hussain Naqvi, Rohit Desai

    Published in Frontiers in Oncology (2025-01-01)
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  13. 13

    Integrated transcriptomic and regulatory RNA profiling reflects complex pathophysiology and uncovers a conserved gene signature in end stage heart failure by Amit Anand, Julius Punnen, U.M. Nagamalesh, Sabariya Selvam, Madhusudhan Bysani, Ramya Venkatesh, Kriti Nawin, Shilpa Garg, Bagirath Raghuraman, Varun Shetty, Senthil Kumaran, Manoj Dokania, Pradeep Narayan, Ankita Udwadia, Kushan Gunawardhana, David Gordon, Manjunath Ramarao, Lei Zhao, Jyoti Gulia

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