Phaneendra K Yalavarthy

发表

Deep neural network-based bandwidth enhancement of photoacoustic data

Manojit Pramanik, Sriram Ganapathy, Sreedevi Gutta, 2017, Journal of biomedical optics.

Prior image-constrained ℓ(1)-norm-based reconstruction method for effective usage of structural information in diffuse optical tomography.

Phaneendra K Yalavarthy, Calvin B Shaw, 2012, Optics letters.

Singular value decomposition based computationally efficient algorithm for rapid dynamic near-infrared diffuse optical tomography.

Saurabh Gupta, Daqing Piao, Phaneendra K Yalavarthy, 2009, Medical physics.

Structural information within regularization matrices improves near infrared diffuse optical tomography.

Hamid Dehghani, Brian W Pogue, Keith D Paulsen, 2007, Optics express.

Spatially variant regularization based on model resolution and fidelity embedding characteristics improves photoacoustic tomography.

Manojit Pramanik, Jaya Prakash, Sandeep Kumar Kalva, 2018, Journal of biomedical optics.

Generalized Beer–Lambert model for near-infrared light propagation in thick biological tissues

Phaneendra K Yalavarthy, Manish Bhatt, Kalyan R Ayyalasomayajula, 2016, Journal of biomedical optics.

Deep Neural Network-Based Sinogram Super-Resolution and Bandwidth Enhancement for Limited-Data Photoacoustic Tomography

Manojit Pramanik, Sandeep Kumar Kalva, Phaneendra K Yalavarthy, 2020, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control.

Incoherence-based optimal selection of independent measurements in diffuse optical tomography

Phaneendra K Yalavarthy, Calvin B Shaw, Calvin B. Shaw, 2014, Journal of biomedical optics.

Accelerating frequency-domain diffuse optical tomographic image reconstruction using graphics processing units.

Jaya Prakash, Phaneendra K Yalavarthy, Venkittarayan Chandrasekharan, 2010, Journal of biomedical optics.

Exponential filtering of singular values improves photoacoustic image reconstruction.

Sreedevi Gutta, Phaneendra K Yalavarthy, Manish Bhatt, 2016, Journal of the Optical Society of America. A, Optics, image science, and vision.

Image-guided filtering for improving photoacoustic tomographic image reconstruction

Manojit Pramanik, Sandeep Kumar Kalva, Phaneendra K Yalavarthy, 2018, Journal of biomedical optics.

Efficient gradient-free simplex method for estimation of optical properties in image-guided diffuse optical tomography

Phaneendra K Yalavarthy, Ravi Prasad K Jagannath, 2013, Journal of biomedical optics.

Non‐local means improves total‐variation constrained photoacoustic image reconstruction

Jaya Prakash, Manojit Pramanik, Phaneendra K Yalavarthy, 2020, Journal of biophotonics.

Comparison of iterative parametric and indirect deep learning-based reconstruction methods in highly undersampled DCE-MR Imaging of the breast.

Phaneendra K Yalavarthy, Aditya Rastogi, 2020, Medical physics.

Near infrared optical tomography using NIRFAST: Algorithm for numerical model and image reconstruction.

Hamid Dehghani, Subhadra Srinivasan, Scott C Davis, 2009, Communications in numerical methods in engineering.

An efficient Jacobian reduction method for diffuse optical image reconstruction.

Hamid Dehghani, Brian W Pogue, Phaneendra K Yalavarthy, 2007, Optics express.

Computationally efficient error estimate for evaluation of regularization in photoacoustic tomography

Phaneendra K Yalavarthy, Manish Bhatt, Atithi Acharya, 2016, Journal of biomedical optics.

Basis pursuit deconvolution for improving model-based reconstructed images in photoacoustic tomography.

Manojit Pramanik, Jaya Prakash, Phaneendra K Yalavarthy, 2014, Biomedical optics express.

Data-resolution based optimal choice of minimum required measurements for image-guided diffuse optical tomography.

Jaya Prakash, Phaneendra K Yalavarthy, 2013, Optics letters.

Effective contrast recovery in rapid dynamic near-infrared diffuse optical tomography using ℓ(1)-norm-based linear image reconstruction method.

Phaneendra K Yalavarthy, Calvin B Shaw, Calvin B. Shaw, 2012, Journal of biomedical optics.

Performance evaluation of typical approximation algorithms for nonconvex ℓp-minimization in diffuse optical tomography.

Phaneendra K Yalavarthy, Calvin B Shaw, Calvin B. Shaw, 2014, Journal of the Optical Society of America. A, Optics, image science, and vision.

Accelerated image reconstruction using extrapolated Tikhonov filtering for photoacoustic tomography

Manojit Pramanik, Sreedevi Gutta, Sandeep Kumar Kalva, 2018, Medical physics.

Least squares QR-based decomposition provides an efficient way of computing optimal regularization parameter in photoacoustic tomography

Manojit Pramanik, Jaya Prakash, Phaneendra K Yalavarthy, 2013, Journal of biomedical optics.

Prior image based temporally constrained reconstruction algorithm for magnetic resonance guided high intensity focused ultrasound.

Jaya Prakash, Phaneendra K Yalavarthy, Nick Todd, 2015, Medical physics.

Vector extrapolation methods for accelerating iterative reconstruction methods in limited-data photoacoustic tomography

Manojit Pramanik, Sandeep Kumar Kalva, Phaneendra K Yalavarthy, 2018, Journal of biomedical optics.

Minimal residual method provides optimal regularization parameter for diffuse optical tomography

Phaneendra K Yalavarthy, Ravi Prasad K Jagannath, P. Yalavarthy, 2012, Journal of biomedical optics.

Fractional Regularization to Improve Photoacoustic Tomographic Image Reconstruction

Manojit Pramanik, Jaya Prakash, Sandeep Kumar Kalva, 2019, IEEE Transactions on Medical Imaging.

Dimensionality reduced plug and play priors for improving photoacoustic tomographic imaging with limited noisy data.

Manojit Pramanik, Phaneendra K Yalavarthy, Navchetan Awasthi, 2021, Biomedical optics express.

Implementation of a computationally efficient least-squares algorithm for highly under-determined three-dimensional diffuse optical tomography problems.

Hamid Dehghani, Brian W Pogue, Keith D Paulsen, 2008, Medical physics.

Critical computational aspects of near infrared circular tomographic imaging: Analysis of measurement number, mesh resolution and reconstruction basis.

Hamid Dehghani, Brian W Pogue, Keith D Paulsen, 2006, Optics express.

Data-resolution based optimization of the data-collection strategy for near infrared diffuse optical tomography.

Phaneendra K Yalavarthy, P. Yalavarthy, D. Karkala, 2012, Medical physics.

A LSQR-type method provides a computationally efficient automated optimal choice of regularization parameter in diffuse optical tomography.

Jaya Prakash, Phaneendra K Yalavarthy, P. Yalavarthy, 2013, Medical physics.