A deep learning methodology for fully-automated quantification of calcific burden in high-resolution intravascular ultrasound images

Research Square

Authors 14

1. Xingwei He

   Barts Health NHS Trust

   Affiliation as printed

   Barts Heart Centre, Barts Health NHS Trust

2. Mohamed O. Mohamed

   Barts Health NHS Trust

   Affiliation as printed

   Barts Heart Centre, Barts Health NHS Trust

3. Nicole Ng

   Barts Health NHS Trust

   Affiliation as printed

   Barts Heart Centre, Barts Health NHS Trust

4. Retesh Bajaj

   Barts Health NHS Trust

   Affiliation as printed

   Barts Heart Centre, Barts Health NHS Trust

5. Nathan Angelo Lecaros Yap

   Barts Health NHS Trust

   Affiliation as printed

   Barts Heart Centre, Barts Health NHS Trust

6. Emrah Erdoğan

   Van Yüzüncü Yıl Üniversitesi

   Affiliation as printed

   Yuzuncu Yil University

7. Mehmet Eren

   Queen Mary University of London · William Harvey Research Institute

   Affiliation as printed

   William Harvey Research Institute, Queen Mary University

8. Anthony Mathur

   Barts Health NHS Trust

   Affiliation as printed

   Barts Heart Centre, Barts Health NHS Trust

9. Ahmet Emir Ulutaş

   Queen Mary University of London · William Harvey Research Institute

   Affiliation as printed

   William Harvey Research Institute, Queen Mary University

10. Bo Gao

    Hubei University of Medicine · Suizhou Central Hospital

    Affiliation as printed

    Suizhou Central Hospital, Affiliated Hospital of Hubei University of Medicine

11. Yao‐Jun Zhang

    Xuzhou Cancer Hospital

    Affiliation as printed

    Xuzhou Third People’s Hospital

12. Andreas Baumbach

    Barts Health NHS Trust

    Affiliation as printed

    Barts Heart Centre, Barts Health NHS Trust

13. Jouke Dijkstra Aachen

    Leiden University Medical Center

    Affiliation as printed

    Leiden University Medical Center

14. Christos V. Bourantas

    Barts Health NHS Trust

    Affiliation as printed

    Barts Heart Centre, Barts Health NHS Trust