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Jagannath, RPK and Yalavarthy, PK (2011) A semi-analytic method for continuous-wave diffuse optical tomography. In: SPIE/OSA European Conference on Biomedical Optics, 22 - 26 May 2011, Munich, Germany.
Rastogi, A and Yalavarthy, PK (2024) Greybox: A hybrid algorithm for direct estimation of tracer kinetic parameters from undersampled DCE-MRI data. In: Medical Physics .
Venkatesh, V and Mathew, RS and Yalavarthy, PK (2024) Spinet-QSM: model-based deep learning with schatten p-norm regularization for improved quantitative susceptibility mapping. In: Magnetic Resonance Materials in Physics, Biology and Medicine .
Mathew, RS and Paluru, N and Yalavarthy, PK (2023) Model resolution-based deconvolution for improved quantitative susceptibility mapping. In: NMR in Biomedicine .
Sindhura, C and Al Fahim, M and Yalavarthy, PK and Gorthi, S (2023) Fully automated sinogram-based deep learning model for detection and classification of intracranial hemorrhage. In: Medical Physics .
Gupta, U and Periyasamy, V and Hofmann, R and Prakash, J and Yalavarthy, PK (2023) Two-step morphology-based denoising and non-local means smoothing improves micro-computed tomography digital rock images. In: Geophysical Prospecting .
Rastogi, A and Dutta, A and Yalavarthy, PK (2022) VTDCE-Net: A time invariant deep neural network for direct estimation of pharmacokinetic parameters from undersampled DCE MRI data. In: Medical Physics .
Ahuja, VR and Gupta, U and Rapole, SR and Saxena, N and Hofmann, R and Day-Stirrat, RJ and Prakash, J and Yalavarthy, PK (2022) Siamese-SR: A Siamese Super-Resolution Model for Boosting Resolution of Digital Rock Images for Improved Petrophysical Property Estimation. In: IEEE Transactions on Image Processing, 31 . pp. 3479-3493.
Prakash, J and Agarwal, U and Yalavarthy, PK (2021) Multi GPU parallelization of maximum likelihood expectation maximization method for digital rock tomography data. In: Scientific Reports, 11 (1).
Breland, DS and Dayal, A and Jha, A and Yalavarthy, PK and Pandey, OJ and Cenkeramaddi, LR (2021) Robust Hand Gestures Recognition Using a Deep CNN and Thermal Images. In: IEEE Sensors Journal, 21 (23). pp. 26602-26614.
Prakash, J and Kalva, SK and Pramanik, M and Yalavarthy, PK (2021) Binary photoacoustic tomography for improved vasculature imaging. In: Journal of Biomedical Optics, 26 (8).
Bhatia, J and Dayal, A and Jha, A and Vishvakarma, SK and Joshi, S and Srinivas, MB and Yalavarthy, PK and Kumar, A and Vadlamani, L and Koorapati, S and Cenkeramaddi, LR (2021) Classification of targets using statistical features from range fft of mmwave fmcw radars. In: Electronics (Switzerland), 10 (16).
Gupta, S and Rai, PK and Kumar, A and Yalavarthy, PK and Cenkeramaddi, LR (2021) Target Classification by mmWave FMCW Radars Using Machine Learning on Range-Angle Images. In: IEEE Sensors Journal, 21 (18). pp. 19993-20001.
Breland, DS and Skriubakken, SB and Dayal, A and Jha, A and Yalavarthy, PK and Cenkeramaddi, LR (2021) Deep Learning-Based Sign Language Digits Recognition from Thermal Images with Edge Computing System. In: IEEE Sensors Journal, 21 (9). pp. 10445-10453.
Awasthi, N and Kalva, SK and Pramanik, M and Yalavarthy, PK (2021) Dimensionality reduced plug and play priors for improving photoacoustic tomographic imaging with limited noisy data. In: Biomedical Optics Express, 12 (3). pp. 1320-1338.
Awasthi, N and Dayal, A and Cenkeramaddi, LR and Yalavarthy, PK (2021) Mini-COVIDNet: Efficient Lightweight Deep Neural Network for Ultrasound Based Point-of-Care Detection of COVID-19. In: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 68 (6). pp. 2023-2037.
Dayal, A and Paluru, N and Cenkeramaddi, LR and Soumya, J and Yalavarthy, PK (2021) Design and implementation of deep learning based contactless authentication system using hand gestures. In: Electronics (Switzerland), 10 (2). pp. 1-15.
Kande, NA and Dakhane, R and Dukkipati, A and Yalavarthy, PK (2021) SiameseGAN: A Generative Model for Denoising of Spectral Domain Optical Coherence Tomography Images. In: IEEE Transactions on Medical Imaging, 40 (1). pp. 180-192.
Rastogi, A and Yalavarthy, PK (2021) SpiNet: A deep neural network for Schatten p-norm regularized medical image reconstruction. In: Medical Physics .
Awasthi, N and Jain, G and Kalva, SK and Pramanik, M and Yalavarthy, PK (2020) Deep Neural Network-Based Sinogram Super-Resolution and Bandwidth Enhancement for Limited-Data Photoacoustic Tomography. In: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 67 (12). pp. 2660-2673.
Rastogi, A and Yalavarthy, PK (2020) Comparison of iterative parametric and indirect deep learning-based reconstruction methods in highly undersampled DCE-MR Imaging of the breast. In: Medical Physics .
Awasthi, N and Katare, P and Gorthi, SS and Yalavarthy, PK (2020) Guided filter based image enhancement for focal error compensation in low cost automated histopathology microscopic system. In: Journal of Biophotonics .
Yalavarthy, PK and Kalva, SK and Pramanik, M and Prakash, J (2020) Non-local means improves total-variation constrained photoacoustic image reconstruction. In: Journal of Biophotonics .
Kadimesetty, VS and Gutta, S and Ganapathy, S and Yalavarthy, PK (2019) Convolutional neural network-based robust denoising of low-dose computed tomography perfusion maps. In: IEEE Transactions on Radiation and Plasma Medical Sciences, 3 (2). pp. 137-152.
Gutta, S and Kalva, SK and Pramanik, M and Yalavarthy, PK (2018) Accelerated image reconstruction using extrapolated Tikhonov filtering for photoacoustic tomography. In: Medical Physics, 45 (8). pp. 3749-3767.
Kaushik, A and Yalavarthy, PK and Saha, RK (2020) Convergent Born series improves the accuracy of numerical solution of time-independent photoacoustic wave equation. In: Journal of Modern Optics, 67 (9). pp. 849-855.
