Hasil Pencarian - Deepa Krishnaswamy

  • Menampilkan 1 - 8 hasil dari 8
Perbaiki Hasil
  1. 1
    A Novel 3D-to-3D Diffeomorphic Registration Algorithm With Applications to Left Ventricle Segmentation in MR and Ultrasound Sequences

    A Novel 3D-to-3D Diffeomorphic Registration Algorithm With Applications to Left Ventricle Segmentation in MR and Ultrasound Sequences oleh Deepa Krishnaswamy, Michelle Noga, Harald Becher, Pierre Boulanger, Kumaradevan Punithakumar

    Diterbitkan 2023-01-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  2. 2
    Benefit of stereoscopic volume rendering for the identification of pediatric pulmonary vein stenosis from CT angiography.

    Benefit of stereoscopic volume rendering for the identification of pediatric pulmonary vein stenosis from CT angiography. oleh Michelle Noga, Jiali Luan, Deepa Krishnaswamy, Brendan Morgan, Ross Cockburn, Kumaradevan Punithakumar

    Diterbitkan 2023-03-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  3. 3
    A Semi-Automated Method for Measurement of Left Ventricular Volumes in 3D Echocardiography

    A Semi-Automated Method for Measurement of Left Ventricular Volumes in 3D Echocardiography oleh Deepa Krishnaswamy, Abhilash R. Hareendranathan, Tan Suwatanaviroj, Harald Becher, Michelle Noga, Kumaradevan Punithakumar

    Diterbitkan 2018-01-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  4. 4
    Predicting Imaging Outcomes in Acute Stroke Therapy—Comparison of Magnetic Resonance Imaging and Computed Tomography

    Predicting Imaging Outcomes in Acute Stroke Therapy—Comparison of Magnetic Resonance Imaging and Computed Tomography oleh Deepa Krishnaswamy, Seetharaman Cannane, Meena Nedunchelian, Shriram Varadharajan, Santhosh Poyyamoli, Pankaj Mehta, Mathew Cherian

    Diterbitkan 2022-08-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  5. 5
    Enrichment of lung cancer computed tomography collections with AI-derived annotations

    Enrichment of lung cancer computed tomography collections with AI-derived annotations oleh Deepa Krishnaswamy, Dennis Bontempi, Vamsi Krishna Thiriveedhi, Davide Punzo, David Clunie, Christopher P. Bridge, Hugo J. W. L. Aerts, Ron Kikinis, Andrey Fedorov

    Diterbitkan 2024-01-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  6. 6
    A novel machine learning-based video classification approach to detect pneumonia in COVID-19 patients using lung ultrasound

    A novel machine learning-based video classification approach to detect pneumonia in COVID-19 patients using lung ultrasound oleh Deepa Krishnaswamy, Salehe Erfanian Ebadi, Seyed Ehsan Seyed Bolouri, Dornoosh Zonoobi, Russell Greiner, Nathaniel Meuser-Herr, Jacob L Jaremko, Jeevesh Kapur, Michelle Noga, Kumaradevan Punithakumar

    Diterbitkan 2021-01-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  7. 7
    Automated detection of pneumonia in lung ultrasound using deep video classification for COVID-19

    Automated detection of pneumonia in lung ultrasound using deep video classification for COVID-19 oleh Salehe Erfanian Ebadi, Deepa Krishnaswamy, Seyed Ehsan Seyed Bolouri, Dornoosh Zonoobi, Russell Greiner, Nathaniel Meuser-Herr, Jacob L. Jaremko, Jeevesh Kapur, Michelle Noga, Kumaradevan Punithakumar

    Diterbitkan 2021-01-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  8. 8
    End-to-end reproducible AI pipelines in radiology using the cloud

    End-to-end reproducible AI pipelines in radiology using the cloud oleh Dennis Bontempi, Leonard Nuernberg, Suraj Pai, Deepa Krishnaswamy, Vamsi Thiriveedhi, Ahmed Hosny, Raymond H. Mak, Keyvan Farahani, Ron Kikinis, Andrey Fedorov, Hugo J. W. L. Aerts

    Diterbitkan 2024-08-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:

Alat Pencarian: