Phaneendra K. Yalavarthy

22 papers B 2Misc 1Journal 11Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Integrating Fourier analysis and deep learning for robust detection of deep fake brain magnetic resonance images.
Pattern Recognit. Lett.
Vaishnavi Ravi, Yogesh K. Sahu, Prabhas Reddy Onteru, Parag Dutta, Dhanshree Warokar, Padma Murali, Rajesh Katta, Ambedkar Dukkipati, Phaneendra K. Yalavarthy
2025 J jnl
Display Field-Of-View Agnostic Robust CT Kernel Synthesis Using Model-Based Deep Learning.
CoRR
Hemant Kumar Aggarwal, Antony Jerald, Phaneendra K. Yalavarthy, Rajesh Langoju, Bipul Das
2025 — conf
Display Field-of-View Agnostic Robust Ct Kernel Synthesis Using Model-Based Deep Learning.
ISBI
Hemant Kumar Aggarwal, Antony Jerald, Phaneendra K. Yalavarthy, Rajesh Langoju, Bipul Das
2025 — conf
Inference Time Adaptation for Improved Retinal Disease Diagnosis Using Optical Coherence Tomography Images.
ISBI
Hariharan Ravishankar, Naveen Paluru, Prasad Sudhakar, Phaneendra K. Yalavarthy
2025 J jnl
Inference time correction based on confidence and uncertainty for improved deep-learning model performance and explainability in medical image classification.
Comput. Medical Imaging Graph.
Joel Jeffrey, Ashwin Rajkumar, Sudhanshu Pandey, Lokesh Bathala, Phaneendra K. Yalavarthy
2025 J jnl
Information Geometric Approaches for Patient-Specific Test-Time Adaptation of Deep Learning Models for Semantic Segmentation.
IEEE Trans. Medical Imaging
Hariharan Ravishankar, Naveen Paluru, Prasad Sudhakar, Phaneendra K. Yalavarthy
2025 — conf
UATTA-QSM: Uncertainty-Aware Test Time Adaptation for Improved Quantitative Susceptibility Mapping.
ISBI
Hariharan Ravishankar, Naveen Paluru, Prasad Sudhakar, Phaneendra K. Yalavarthy
2024 B conf
SINO-CT-Fusion-Net: A Lightweight Deep Learning Framework for Detection and Classification of Intracranial Hemorrhages.
ICIP
Chitimireddy Sindhura, Phaneendra K. Yalavarthy, Subrahmanyam Gorthi
2024 — conf
Self-Supervised Noise-Aware Kernel Synthesis for Improved X-ray Computed Tomography Imaging.
ISBI
Hemant Kumar Aggarwal, Phaneendra K. Yalavarthy, Rajesh Langoju
2024 — conf
TTA-FM: Patient-Specific Test-Time Adaptation Using Foundation Models for Improved Prostate Segmentation in Magnetic Resonance Images.
ISBI
Hariharan Ravishankar, Prasad Sudhakar, Phaneendra K. Yalavarthy
2022 J jnl
Siamese-SR: A Siamese Super-Resolution Model for Boosting Resolution of Digital Rock Images for Improved Petrophysical Property Estimation.
IEEE Trans. Image Process.
Vishal R. Ahuja, Utkarsh Gupta, Shivani R. Rapole, Nishank Saxena, Ronny Hofmann, Ruarri J. Day-Stirrat, Jaya Prakash, Phaneendra K. Yalavarthy
2021 J jnl
Anam-Net: Anamorphic Depth Embedding-Based Lightweight CNN for Segmentation of Anomalies in COVID-19 Chest CT Images.
IEEE Trans. Neural Networks Learn. Syst.
Naveen Paluru, Aveen Dayal, Håvard Bjørke Jenssen, Tomas Sakinis, Linga Reddy Cenkeramaddi, Jaya Prakash, Phaneendra K. Yalavarthy
2021 Misc conf
Object Classification Technique for mmWave FMCW Radars using Range-FFT Features.
COMSNETS
Jyoti Bhatia, Aveen Dayal, Ajit Jha, Santosh Kumar Vishvakarma, J. Soumya, M. B. Srinivas, Phaneendra K. Yalavarthy, Abhinav Kumar, V. Lalitha, Sagar Koorapati, Linga Reddy Cenkeramaddi
2021 J jnl
SiameseGAN: A Generative Model for Denoising of Spectral Domain Optical Coherence Tomography Images.
IEEE Trans. Medical Imaging
Nilesh A. Kande, Rupali Dakhane, Ambedkar Dukkipati, Phaneendra K. Yalavarthy
2019 J jnl
Fractional Regularization to Improve Photoacoustic Tomographic Image Reconstruction.
IEEE Trans. Medical Imaging
Jaya Prakash, Dween Sanny, Sandeep Kumar Kalva, Manojit Pramanik, Phaneendra K. Yalavarthy
2017 B conf
Rapid perfusion quantification using Welch-Satterthwaite approximation and analytical spectral filtering.
Image Processing
Karthik Krishnan, Kasireddy V. Reddy, Bhavya Ajani, Phaneendra K. Yalavarthy
2016 — conf
Fast analytical spectral filtering methods for magnetic resonance perfusion quantification.
EMBC
Kasireddy V. Reddy, Abhishek Mitra, Phaneendra K. Yalavarthy
2014 J jnl
Model-Resolution-Based Basis Pursuit Deconvolution Improves Diffuse Optical Tomographic Imaging.
IEEE Trans. Medical Imaging
Jaya Prakash, Hamid Dehghani, Brian W. Pogue, Phaneendra K. Yalavarthy
2012 — conf
Distinguishing cognitive states using iterative classification.
ICVGIP
Rakshatha P. Krishnamurthy, Vishal Vijayakumar, Neelam Sinha, Phaneendra K. Yalavarthy
2010 J jnl
Approximation of Internal Refractive Index Variation Improves Image Guided Diffuse Optical Tomography of Breast.
IEEE Trans. Biomed. Eng.
Ravi Prasad K. Jagannath, Phaneendra K. Yalavarthy
2010 J jnl
Helmholtz-Type Regularization Method for Permittivity Reconstruction Using Experimental Phantom Data of Electrical Capacitance Tomography.
IEEE Trans. Instrum. Meas.
Manuchehr Soleimani, Phaneendra K. Yalavarthy, Hamid Dehghani
2008 — conf
Current role of PET in oncology: Potentials and challenges in the management of non-small cell lung cancer.
ACSCC
Phaneendra K. Yalavarthy, Daniel A. Low, Camille Noel, ZhouPing Wei, Deshan Yang, Aditya P. Apte, Jeffrey D. Bradley, Joseph Deasy, Issam El-Naqa