Search Results - "Yalavarthy, Phaneendra"
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Deep Neural Network-Based Sinogram Super-Resolution and Bandwidth Enhancement for Limited-Data Photoacoustic Tomography
Published in IEEE transactions on ultrasonics, ferroelectrics, and frequency control (01-12-2020)“…Photoacoustic tomography (PAT) is a noninvasive imaging modality combining the benefits of optical contrast at ultrasonic resolution. Analytical reconstruction…”
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Mini-COVIDNet: Efficient Lightweight Deep Neural Network for Ultrasound Based Point-of-Care Detection of COVID-19
Published in IEEE transactions on ultrasonics, ferroelectrics, and frequency control (01-06-2021)“…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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Anam-Net: Anamorphic Depth Embedding-Based Lightweight CNN for Segmentation of Anomalies in COVID-19 Chest CT Images
Published in IEEE transaction on neural networks and learning systems (01-03-2021)“…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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Fractional Regularization to Improve Photoacoustic Tomographic Image Reconstruction
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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Self Distillation for Improving the Generalizability of Retinal Disease Diagnosis using Optical Coherence Tomography Images
Published in IEEE journal of selected topics in quantum electronics (01-07-2023)“…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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Comparison of iterative parametric and indirect deep learning‐based reconstruction methods in highly undersampled DCE‐MR Imaging of the breast
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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Fully automated sinogram‐based deep learning model for detection and classification of intracranial hemorrhage
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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Binary photoacoustic tomography for improved vasculature imaging
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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Deep neural network-based bandwidth enhancement of photoacoustic data
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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Target Classification by mmWave FMCW Radars Using Machine Learning on Range-Angle Images
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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Population differences in Brain morphology: Need for population specific Brain template
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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Model resolution‐based deconvolution for improved quantitative susceptibility mapping
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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Robust Hand Gestures Recognition Using a Deep CNN and Thermal Images
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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DF‐QSM: Data Fidelity based Hybrid Approach for Improved Quantitative Susceptibility Mapping of the Brain
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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Spinet-QSM: model-based deep learning with schatten p-norm regularization for improved quantitative susceptibility mapping
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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Accelerated image reconstruction using extrapolated Tikhonov filtering for photoacoustic tomography
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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Two‐step morphology‐based denoising and non‐local means smoothing improves micro‐computed tomography digital rock images
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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Image-guided filtering for improving photoacoustic tomographic image reconstruction
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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Multi GPU parallelization of maximum likelihood expectation maximization method for digital rock tomography data
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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Generalized Beer-Lambert model for near-infrared light propagation in thick biological tissues
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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