Search Results - "Fatemi, Mostafa"

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  1. 1

    Fast inter-frame motion correction in contrast-free ultrasound quantitative microvasculature imaging using deep learning by Saini, Manali, Fatemi, Mostafa, Alizad, Azra

    Published in Scientific reports (30-10-2024)
    “…Contrast-free ultrasound quantitative microvasculature imaging shows promise in several applications, including the assessment of benign and malignant lesions…”
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    Journal Article
  2. 2

    Non-Local Based Denoising Framework for In Vivo Contrast-Free Ultrasound Microvessel Imaging by Adabi, Saba, Ghavami, Siavash, Fatemi, Mostafa, Alizad, Azra

    Published in Sensors (Basel, Switzerland) (10-01-2019)
    “…Vascular networks can provide invaluable information about tumor angiogenesis. Ultrafast Doppler imaging enables ultrasound to image microvessels by applying…”
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    Journal Article
  3. 3

    Acoustic Radiation Force: A Review of Four Mechanisms for Biomedical Applications by Sarvazyan, Armen P., Rudenko, Oleg V., Fatemi, Mostafa

    “…Radiation force is a universal phenomenon in any wave motion where the wave energy produces a static or transient force on the propagation medium. The theory…”
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  4. 4

    Artificial intelligence techniques in liver cancer by Wang, Lulu, Fatemi, Mostafa, Alizad, Azra

    Published in Frontiers in oncology (03-09-2024)
    “…Hepatocellular Carcinoma (HCC), the most common primary liver cancer, is a significant contributor to worldwide cancer-related deaths. Various medical imaging…”
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    Journal Article
  5. 5

    Viscoelastic parameters as discriminators of breast masses: Initial human study results by Kumar, Viksit, Denis, Max, Gregory, Adriana, Bayat, Mahdi, Mehrmohammadi, Mohammad, Fazzio, Robert, Fatemi, Mostafa, Alizad, Azra

    Published in PloS one (12-10-2018)
    “…Shear wave elastography is emerging as a clinically valuable diagnostic tool to differentiate between benign and malignant breast masses. Elastography…”
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  6. 6

    Automated and real-time segmentation of suspicious breast masses using convolutional neural network by Kumar, Viksit, Webb, Jeremy M, Gregory, Adriana, Denis, Max, Meixner, Duane D, Bayat, Mahdi, Whaley, Dana H, Fatemi, Mostafa, Alizad, Azra

    Published in PloS one (16-05-2018)
    “…In this work, a computer-aided tool for detection was developed to segment breast masses from clinical ultrasound (US) scans. The underlying Multi U-net…”
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  7. 7

    Contrast-free ultrasound imaging for blood flow assessment of the lower limb in patients with peripheral arterial disease: a feasibility study by Sabeti, Soroosh, Nayak, Rohit, McBane, Robert D., Fatemi, Mostafa, Alizad, Azra

    Published in Scientific reports (13-07-2023)
    “…While being a relatively prevalent condition particularly among aging patients, peripheral arterial disease (PAD) of lower extremities commonly goes undetected…”
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  8. 8

    Quantification of Morphological Features in Non-Contrast-Enhanced Ultrasound Microvasculature Imaging by Ghavami, Siavash, Bayat, Mahdi, Fatemi, Mostafa, Alizad, Azra

    Published in IEEE access (2020)
    “…There are significant differences in microvascular morphological features in diseased tissues, such as cancerous lesions, compared to noncancerous tissue…”
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  9. 9

    Background Noise Removal in Non-Contrast- Enhanced Ultrasound Microvasculature Imaging Using Combined Collaborative, Morphological, and Vesselness Filtering by Sabeti, Soroosh, Fatemi, MOSTAFA, Alizad, Azra

    Published in IEEE access (2024)
    “…Suppression of background noise in clutter filtered contrast-free ultrasound microvasculature images is an important step towards better visualization,…”
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    Journal Article
  10. 10

    Ultrasound shear wave elastography for measuring intracompartmental pressure of compartment syndrome using a turkey hind limb model by Toyoshima, Yoichi, Webb, Jeremy, Gregory, Adriana, Fatemi, Mostafa, Alizad, Azra, Zhao, Chunfeng

    Published in Journal of biomechanics (02-01-2020)
    “…Diagnosis and treatment of acute compartment syndrome are quite challenging. It is well known that compartment pressure is an important factor for diagnosing…”
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  11. 11

    Impact of imaging cross-section on visualization of thyroid microvessels using ultrasound: Pilot study by Nayak, Rohit, Nawar, Noshin, Webb, Jeremy, Fatemi, Mostafa, Alizad, Azra

    Published in Scientific reports (15-01-2020)
    “…Non-invasive, contrast-free microvascular imaging of human thyroids can be potentially beneficial in reducing the large number of benign biopsies of suspicious…”
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    Journal Article
  12. 12

    Viscoelastic biomarker for differentiation of benign and malignant breast lesion in ultra- low frequency range by Nabavizadeh, Alireza, Bayat, Mahdi, Kumar, Viksit, Gregory, Adriana, Webb, Jeremy, Alizad, Azra, Fatemi, Mostafa

    Published in Scientific reports (05-04-2019)
    “…Benign and malignant tumors differ in the viscoelastic properties of their cellular microenvironments and in their spatiotemporal response to very low…”
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  13. 13

    DMAeEDNet: Dense Multiplicative Attention enhanced Encoder Decoder Network for Ultrasound-based Automated Breast Lesion Segmentation by Saini, Manali, Afrin, Humayra, Sotoudehnia, Setayesh, Fatemi, Mostafa, Alizad, Azra

    Published in IEEE access (01-01-2024)
    “…Automated and precise segmentation of breast lesions can facilitate early diagnosis of breast cancer. Recent research studies employ deep learning for…”
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    Journal Article
  14. 14

    Fully Automated Segmentation of Bladder Sac and Measurement of Detrusor Wall Thickness from Transabdominal Ultrasound Images by Akkus, Zeynettin, Kim, Bae Hyung, Nayak, Rohit, Gregory, Adriana, Alizad, Azra, Fatemi, Mostafa

    Published in Sensors (Basel, Switzerland) (27-07-2020)
    “…Ultrasound measurements of detrusor muscle thickness have been proposed as a diagnostic biomarker in patients with bladder overactivity and voiding…”
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  15. 15

    Mapping Pharmacologically Evoked Neurovascular Activation and Its Suppression in a Rat Model of Tremor Using Functional Ultrasound: A Feasibility Study by Nayak, Rohit, Lee, Jeyeon, Sotoudehnia, Setayesh, Chang, Su-Youne, Fatemi, Mostafa, Alizad, Azra

    Published in Sensors (Basel, Switzerland) (01-08-2023)
    “…Functional ultrasound (fUS), an emerging hemodynamic-based functional neuroimaging technique, is especially suited to probe brain activity and primarily used…”
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  16. 16

    Early assessment of shear wave elastography parameters foresees the response to neoadjuvant chemotherapy in patients with invasive breast cancer by Gu, Juanjuan, Polley, Eric C, Denis, Max, Carter, Jodi M, Pruthi, Sandhya, Gregory, Adriana V, Boughey, Judy C, Fazzio, Robert T, Fatemi, Mostafa, Alizad, Azra

    Published in Breast cancer research : BCR (29-04-2021)
    “…Early prediction of tumor response to neoadjuvant chemotherapy (NACT) is crucial for optimal treatment and improved outcome in breast cancer patients. The…”
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  17. 17

    Hybrid high-definition microvessel imaging/shear wave elastography improves breast lesion characterization by Gu, Juanjuan, Ternifi, Redouane, Larson, Nicholas B, Carter, Jodi M, Boughey, Judy C, Stan, Daniela L, Fazzio, Robert T, Fatemi, Mostafa, Alizad, Azra

    Published in Breast cancer research : BCR (05-03-2022)
    “…Low specificity in current breast imaging modalities leads to increased unnecessary follow-ups and biopsies. The purpose of this study is to evaluate the…”
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  18. 18

    Automated Segmentation of Thyroid Nodule, Gland, and Cystic Components From Ultrasound Images Using Deep Learning by Kumar, Viksit, Webb, Jeremy, Gregory, Adriana, Meixner, Duane D., Knudsen, John M., Callstrom, Matthew, Fatemi, Mostafa, Alizad, Azra

    Published in IEEE access (2020)
    “…Sonographic features associated with margins, shape, size, and volume of thyroid nodules are used to assess their risk of malignancy. Automatically segmenting…”
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  19. 19

    Volumetric imaging and morphometric analysis of breast tumor angiogenesis using a new contrast-free ultrasound technique: a feasibility study by Gu, Juanjuan, Ternifi, Redouane, Sabeti, Soroosh, Larson, Nicholas B, Carter, Jodi M, Fazzio, Robert T, Fatemi, Mostafa, Alizad, Azra

    Published in Breast cancer research : BCR (30-11-2022)
    “…There is a strong correlation between the morphological features of new tumor vessels and malignancy. However, angiogenic heterogeneity necessitates 3D…”
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  20. 20

    Author Correction: Impact of imaging cross-section on visualization of thyroid microvessels using ultrasound: Pilot study by Nayak, Rohit, Nawar, Noshin, Webb, Jeremy, Fatemi, Mostafa, Alizad, Azra

    Published in Scientific reports (15-07-2020)
    “…An amendment to this paper has been published and can be accessed via a link at the top of the paper…”
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