Hasil Pencarian - Don. P. Giddens

  • Menampilkan 1 - 7 hasil dari 7
Perbaiki Hasil
  1. 1
    Predicting Coronary Stenosis Progression Using Plaque Fatigue From IVUS-Based Thin-Slice Models: A Machine Learning Random Forest Approach

    Predicting Coronary Stenosis Progression Using Plaque Fatigue From IVUS-Based Thin-Slice Models: A Machine Learning Random Forest Approach oleh Xiaoya Guo, Akiko Maehara, Mingming Yang, Liang Wang, Jie Zheng, Habib Samady, Gary S. Mintz, Don P. Giddens, Don P. Giddens, Dalin Tang, Dalin Tang

    Diterbitkan 2022-05-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  2. 2
    Using Optical Coherence Tomography and Intravascular Ultrasound Imaging to Quantify Coronary Plaque Cap Stress/Strain and Progression: A Follow-Up Study Using 3D Thin-Layer Models

    Using Optical Coherence Tomography and Intravascular Ultrasound Imaging to Quantify Coronary Plaque Cap Stress/Strain and Progression: A Follow-Up Study Using 3D Thin-Layer Models oleh Rui Lv, Akiko Maehara, Mitsuaki Matsumura, Liang Wang, Caining Zhang, Mengde Huang, Xiaoya Guo, Habib Samady, Don. P. Giddens, Don. P. Giddens, Jie Zheng, Gary S. Mintz, Dalin Tang, Dalin Tang

    Diterbitkan 2021-08-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  3. 3
    Force and torque on spherical particles in micro-channel flows using computational fluid dynamics

    Force and torque on spherical particles in micro-channel flows using computational fluid dynamics oleh Jin Suo, Erin E. Edwards, Ananyaveena Anilkumar, Todd Sulchek, Don P. Giddens, Susan N. Thomas

    Diterbitkan 2016-01-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  4. 4
    Predicting plaque vulnerability change using intravascular ultrasound + optical coherence tomography image-based fluid–structure interaction models and machine learning methods with patient follow-up data: a feasibility study

    Predicting plaque vulnerability change using intravascular ultrasound + optical coherence tomography image-based fluid–structure interaction models and machine learning methods wit... oleh Xiaoya Guo, Akiko Maehara, Mitsuaki Matsumura, Liang Wang, Jie Zheng, Habib Samady, Gary S. Mintz, Don P. Giddens, Dalin Tang

    Diterbitkan 2021-04-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  5. 5
    Combining IVUS + OCT Data, Biomechanical Models and Machine Learning Method for Accurate Coronary Plaque Morphology Quantification and Cap Thickness and Stress/Strain Index Predictions

    Combining IVUS + OCT Data, Biomechanical Models and Machine Learning Method for Accurate Coronary Plaque Morphology Quantification and Cap Thickness and Stress/Strain Index Predict... oleh Rui Lv, Liang Wang, Akiko Maehara, Mitsuaki Matsumura, Xiaoya Guo, Habib Samady, Don P. Giddens, Jie Zheng, Gary S. Mintz, Dalin Tang

    Diterbitkan 2023-01-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  6. 6
    Using optical coherence tomography and intravascular ultrasound imaging to quantify coronary plaque cap thickness and vulnerability: a pilot study

    Using optical coherence tomography and intravascular ultrasound imaging to quantify coronary plaque cap thickness and vulnerability: a pilot study oleh Rui Lv, Akiko Maehara, Mitsuaki Matsumura, Liang Wang, Qingyu Wang, Caining Zhang, Xiaoya Guo, Habib Samady, Don P. Giddens, Jie Zheng, Gary S. Mintz, Dalin Tang

    Diterbitkan 2020-11-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  7. 7
    Comprehensive Assessment of Coronary Plaque Progression With Advanced Intravascular Imaging, Physiological Measures, and Wall Shear Stress: A Pilot Double‐Blinded Randomized Controlled Clinical Trial of Nebivolol Versus Atenolol in Nonobstructive Coronary Artery Disease

    Comprehensive Assessment of Coronary Plaque Progression With Advanced Intravascular Imaging, Physiological Measures, and Wall Shear Stress: A Pilot Double‐Blinded Randomized Contro... oleh Olivia Y. Hung, David Molony, Michel T. Corban, Emad Rasoul‐Arzrumly, Charles Maynard, Parham Eshtehardi, Saurabh Dhawan, Lucas H. Timmins, Marina Piccinelli, Sung Gyun Ahn, Bill D. Gogas, Michael C. McDaniel, Arshed A. Quyyumi, Don P. Giddens, Habib Samady

    Diterbitkan 2016-01-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:

Alat Pencarian: