Search Results - "Yalavarthy, Phaneendra"

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  1. 1

    Deep Neural Network-Based Sinogram Super-Resolution and Bandwidth Enhancement for Limited-Data Photoacoustic Tomography by Awasthi, Navchetan, Jain, Gaurav, Kalva, Sandeep Kumar, Pramanik, Manojit, Yalavarthy, Phaneendra K.

    “…Photoacoustic tomography (PAT) is a noninvasive imaging modality combining the benefits of optical contrast at ultrasonic resolution. Analytical reconstruction…”
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    Journal Article
  2. 2

    Mini-COVIDNet: Efficient Lightweight Deep Neural Network for Ultrasound Based Point-of-Care Detection of COVID-19 by Awasthi, Navchetan, Dayal, Aveen, Cenkeramaddi, Linga Reddy, Yalavarthy, Phaneendra K.

    “…Lung ultrasound (US) imaging has the potential to be an effective point-of-care test for detection of COVID-19, due to its ease of operation with minimal…”
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  3. 3

    Anam-Net: Anamorphic Depth Embedding-Based Lightweight CNN for Segmentation of Anomalies in COVID-19 Chest CT Images by Paluru, Naveen, Dayal, Aveen, Jenssen, Havard Bjorke, Sakinis, Tomas, Cenkeramaddi, Linga Reddy, Prakash, Jaya, Yalavarthy, Phaneendra K.

    “…Chest computed tomography (CT) imaging has become indispensable for staging and managing coronavirus disease 2019 (COVID-19), and current evaluation of…”
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  4. 4

    Fractional Regularization to Improve Photoacoustic Tomographic Image Reconstruction by Prakash, Jaya, Sanny, Dween, Kalva, Sandeep Kumar, Pramanik, Manojit, Yalavarthy, Phaneendra K.

    Published in IEEE transactions on medical imaging (01-08-2019)
    “…Photoacoustic tomography involves reconstructing the initial pressure rise distribution from the measured acoustic boundary data. The recovery of the initial…”
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  5. 5

    Self Distillation for Improving the Generalizability of Retinal Disease Diagnosis using Optical Coherence Tomography Images by Paluru, Naveen, Ravishankar, Hariharan, Hegde, Sharat, Yalavarthy, Phaneendra K.

    “…Optical coherence tomography (OCT) imaging has become a point-of-care imaging modality for the diagnosis of retinal diseases. Varying speckle noise in the OCT…”
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  6. 6

    Comparison of iterative parametric and indirect deep learning‐based reconstruction methods in highly undersampled DCE‐MR Imaging of the breast by Rastogi, Aditya, Yalavarthy, Phaneendra K.

    Published in Medical physics (Lancaster) (01-10-2020)
    “…Purpose To compare the performance of iterative direct and indirect parametric reconstruction methods with indirect deep learning‐based reconstruction methods…”
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  7. 7

    Fully automated sinogram‐based deep learning model for detection and classification of intracranial hemorrhage by Sindhura, Chitimireddy, Al Fahim, Mohammad, Yalavarthy, Phaneendra K., Gorthi, Subrahmanyam

    Published in Medical physics (Lancaster) (01-03-2024)
    “…PurposeTo propose an automated approach for detecting and classifying Intracranial Hemorrhages (ICH) directly from sinograms using a deep learning framework…”
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  8. 8

    Binary photoacoustic tomography for improved vasculature imaging by Prakash, Jaya, Kalva, Sandeep Kumar, Pramanik, Manojit, Yalavarthy, Phaneendra K

    Published in Journal of biomedical optics (01-08-2021)
    “…Significance: The proposed binary tomography approach was able to recover the vasculature structures accurately, which could potentially enable the utilization…”
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  9. 9

    Deep neural network-based bandwidth enhancement of photoacoustic data by Gutta, Sreedevi, Kadimesetty, Venkata Suryanarayana, Kalva, Sandeep Kumar, Pramanik, Manojit, Ganapathy, Sriram, Yalavarthy, Phaneendra K

    Published in Journal of biomedical optics (01-11-2017)
    “…Photoacoustic (PA) signals collected at the boundary of tissue are always band-limited. A deep neural network was proposed to enhance the bandwidth (BW) of the…”
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  10. 10

    Target Classification by mmWave FMCW Radars Using Machine Learning on Range-Angle Images by Gupta, Siddharth, Rai, Prabhat Kumar, Kumar, Abhinav, Yalavarthy, Phaneendra K., Cenkeramaddi, Linga Reddy

    Published in IEEE sensors journal (15-09-2021)
    “…In this paper, we present a novel multiclass-target classification method for mmWave frequency modulated continuous wave (FMCW) radar operating in the…”
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  11. 11

    Population differences in Brain morphology: Need for population specific Brain template by Rao, Naren P, Jeelani, Haris, Achalia, Rashmin, Achalia, Garima, Jacob, Arpitha, Bharath, Rose dawn, Varambally, Shivarama, Venkatasubramanian, Ganesan, Yalavarthy, Phaneendra

    Published in Psychiatry research. Neuroimaging (30-07-2017)
    “…Abstract Brain templates provide a standard anatomical platform for population based morphometric assessments. Typically, standard brain templates for such…”
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  12. 12

    Model resolution‐based deconvolution for improved quantitative susceptibility mapping by Mathew, Raji Susan, Paluru, Naveen, Yalavarthy, Phaneendra K.

    Published in NMR in biomedicine (01-02-2024)
    “…Quantitative susceptibility mapping (QSM) utilizes the relationship between the measured local field and the unknown susceptibility map to perform dipole…”
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  13. 13

    Robust Hand Gestures Recognition Using a Deep CNN and Thermal Images by Breland, Daniel Skomedal, Dayal, Aveen, Jha, Ajit, Yalavarthy, Phaneendra K., Pandey, Om Jee, Cenkeramaddi, Linga Reddy

    Published in IEEE sensors journal (01-12-2021)
    “…Medical systems and assistive technologies, human-computer interaction, human-robot interaction, industrial automation, virtual environment control, sign…”
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  14. 14

    DF‐QSM: Data Fidelity based Hybrid Approach for Improved Quantitative Susceptibility Mapping of the Brain by Paluru, Naveen, Susan Mathew, Raji, Yalavarthy, Phaneendra K.

    Published in NMR in biomedicine (01-09-2024)
    “…Quantitative Susceptibility Mapping (QSM) is an advanced magnetic resonance imaging (MRI) technique to quantify the magnetic susceptibility of the tissue under…”
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  15. 15

    Spinet-QSM: model-based deep learning with schatten p-norm regularization for improved quantitative susceptibility mapping by Venkatesh, Vaddadi, Mathew, Raji Susan, Yalavarthy, Phaneendra K.

    Published in Magma (New York, N.Y.) (01-07-2024)
    “…Objective Quantitative susceptibility mapping (QSM) provides an estimate of the magnetic susceptibility of tissue using magnetic resonance (MR) phase…”
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  16. 16

    Accelerated image reconstruction using extrapolated Tikhonov filtering for photoacoustic tomography by Gutta, Sreedevi, Kalva, Sandeep Kumar, Pramanik, Manojit, Yalavarthy, Phaneendra K.

    Published in Medical physics (Lancaster) (01-08-2018)
    “…Purpose Development of simple and computationally efficient extrapolated Tikhonov filtering reconstruction methods for photoacoustic tomography. Methods The…”
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  17. 17

    Two‐step morphology‐based denoising and non‐local means smoothing improves micro‐computed tomography digital rock images by Gupta, Utkarsh, Periyasamy, Vijitha, Hofmann, Ronny, Prakash, Jaya, Yalavarthy, Phaneendra K.

    Published in Geophysical Prospecting (01-06-2024)
    “…Digital rock physics is a workflow that relies on imaging techniques to quickly and cost‐effectively estimate the petrophysical properties of small core…”
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  18. 18

    Image-guided filtering for improving photoacoustic tomographic image reconstruction by Awasthi, Navchetan, Kalva, Sandeep Kumar, Pramanik, Manojit, Yalavarthy, Phaneendra K

    Published in Journal of biomedical optics (01-06-2018)
    “…Several algorithms exist to solve the photoacoustic image reconstruction problem depending on the expected reconstructed image features. These reconstruction…”
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  19. 19

    Multi GPU parallelization of maximum likelihood expectation maximization method for digital rock tomography data by Prakash, Jaya, Agarwal, Umang, Yalavarthy, Phaneendra K.

    Published in Scientific reports (17-09-2021)
    “…Digital rock is an emerging area of rock physics, which involves scanning reservoir rocks using X-ray micro computed tomography (XCT) scanners and using it for…”
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  20. 20

    Generalized Beer-Lambert model for near-infrared light propagation in thick biological tissues by Bhatt, Manish, Ayyalasomayajula, Kalyan R, Yalavarthy, Phaneendra K

    Published in Journal of biomedical optics (01-07-2016)
    “…The attenuation of near-infrared (NIR) light intensity as it propagates in a turbid medium like biological tissue is described by modified the Beer-Lambert law…”
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