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ORCIDPhaneendra K. Yalavarthy
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2020 – today
- 2024
[c7]Hemant Kumar Aggarwal, Phaneendra K. Yalavarthy, Rajesh Langoju:
Self-Supervised Noise-Aware Kernel Synthesis for Improved X-ray Computed Tomography Imaging. ISBI 2024: 1-4- [c6]Hariharan Ravishankar, Prasad Sudhakar, Phaneendra K. Yalavarthy:
TTA-FM: Patient-Specific Test-Time Adaptation Using Foundation Models for Improved Prostate Segmentation in Magnetic Resonance Images. ISBI 2024: 1-5 - 2022
- [j7]Vishal R. Ahuja
, Utkarsh Gupta, Shivani R. Rapole, Nishank Saxena, Ronny Hofmann, Ruarri J. Day-Stirrat, Jaya Prakash, Phaneendra K. Yalavarthy:
Siamese-SR: A Siamese Super-Resolution Model for Boosting Resolution of Digital Rock Images for Improved Petrophysical Property Estimation. IEEE Trans. Image Process. 31: 3479-3493 (2022) - 2021
- [j6]Nilesh A. Kande, Rupali Dakhane, Ambedkar Dukkipati, Phaneendra K. Yalavarthy:
SiameseGAN: A Generative Model for Denoising of Spectral Domain Optical Coherence Tomography Images. IEEE Trans. Medical Imaging 40(1): 180-192 (2021) - [j5]Naveen Paluru, Aveen Dayal, Håvard Bjørke Jenssen, Tomas Sakinis, Linga Reddy Cenkeramaddi, Jaya Prakash, Phaneendra K. Yalavarthy:
Anam-Net: Anamorphic Depth Embedding-Based Lightweight CNN for Segmentation of Anomalies in COVID-19 Chest CT Images. IEEE Trans. Neural Networks Learn. Syst. 32(3): 932-946 (2021) - [c5]Jyoti Bhatia, Aveen Dayal, Ajit Jha, Santosh Kumar Vishvakarma, Soumya J., M. B. Srinivas, Phaneendra K. Yalavarthy, Abhinav Kumar, V. Lalitha, Sagar Koorapati, Linga Reddy Cenkeramaddi:
Object Classification Technique for mmWave FMCW Radars using Range-FFT Features. COMSNETS 2021: 111-115
2010 – 2019
- 2019
- [j4]Jaya Prakash, Dween Sanny, Sandeep Kumar Kalva, Manojit Pramanik, Phaneendra K. Yalavarthy:
Fractional Regularization to Improve Photoacoustic Tomographic Image Reconstruction. IEEE Trans. Medical Imaging 38(8): 1935-1947 (2019) - 2017
- [c4]Karthik Krishnan, Kasireddy V. Reddy, Bhavya Ajani, Phaneendra K. Yalavarthy:
Rapid perfusion quantification using Welch-Satterthwaite approximation and analytical spectral filtering. Medical Imaging: Image Processing 2017: 101330Q - 2016
- [c3]Kasireddy V. Reddy, Abhishek Mitra, Phaneendra K. Yalavarthy:
Fast analytical spectral filtering methods for magnetic resonance perfusion quantification. EMBC 2016: 1224-1227 - 2014
- [j3]Jaya Prakash, Hamid Dehghani, Brian W. Pogue, Phaneendra K. Yalavarthy:
Model-Resolution-Based Basis Pursuit Deconvolution Improves Diffuse Optical Tomographic Imaging. IEEE Trans. Medical Imaging 33(4): 891-901 (2014) - 2012
- [c2]Rakshatha P. Krishnamurthy, Vishal Vijayakumar, Neelam Sinha, Phaneendra K. Yalavarthy:
Distinguishing cognitive states using iterative classification. ICVGIP 2012: 21 - 2010
- [j2]Ravi Prasad K. Jagannath, Phaneendra K. Yalavarthy:
Approximation of Internal Refractive Index Variation Improves Image Guided Diffuse Optical Tomography of Breast. IEEE Trans. Biomed. Eng. 57(10): 2560-2563 (2010) - [j1]Manuchehr Soleimani, Phaneendra K. Yalavarthy, Hamid Dehghani:
Helmholtz-Type Regularization Method for Permittivity Reconstruction Using Experimental Phantom Data of Electrical Capacitance Tomography. IEEE Trans. Instrum. Meas. 59(1): 78-83 (2010)
2000 – 2009
- 2008
- [c1]Phaneendra K. Yalavarthy, Daniel A. Low, Camille Noel, Zhouping Wei, Deshan Yang, Aditya P. Apte, Jeffrey D. Bradley, Joseph Deasy, Issam El-Naqa:
Current role of PET in oncology: Potentials and challenges in the management of non-small cell lung cancer. ACSCC 2008: 1067-1071
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