[Naveen Paluru*, Ashwin RajKumar*], Raji S. Mathew, Prathamesh Shenai, Dana Abdeen, Nicholas Laycock, and Phaneendra K. Yalavarthy, "Unsupervised Machine Learning for Automated Corrosion Staging Using Optical Microscopy Images," npj Materials Degradation, 9, 83 (2025). [*Equal Contribution]
Hariharan Ravishankar, Naveen Paluru, Prasad Sudhakar, and Phaneendra K. Yalavarthy, "Information Geometric Approaches for Patient-Specific Test-Time Adaptation of Deep Learning Models for Semantic Segmentation," IEEE Transactions on Medical Imaging, 44(6), 2553-2567, (2025).
Naveen Paluru, Raji Susan Mathew, and Phaneendra K. Yalavarthy, "DF-QSM: Data Fidelity based Hybrid Approach for Improved Quantitative Susceptibility Mapping of the Brain", Nuclear Magnetic Resonance (NMR) in Biomedicine, 37(9), e5163, (2024). [doi: 10.1002/nbm.5163]
[Naveen Paluru*, Utkarsh Gupta*], Deepankar Nankani, Kanchan Kulkarni, and Navchetan Awasthi, "Comprehensive Review on Efficient Artificial Intelligence Models for Classification of Abnormal Cardiac Rhythms using Electrocardiograms", Heliyon, 10(5), E26787, (2024). [* Equal Contribution].
Raji Susan Mathew, Naveen Paluru, and Phaneendra K. Yalavarthy, "Model Resolution Based Deconvolution for Improved Quantitative Susceptibility Mapping", Nuclear Magnetic Resonance (NMR) in Biomedicine 37(2), e5055, (2024). [doi : 10.1002/nbm.5055]
Naveen Paluru, Hariharan Ravishankar, Sharat Hegde, and Phaneendra K. Yalavarthy, "Self Distillation for Improving the Generalizability of Retinal Disease Diagnosis using Optical Coherence Tomography Images", IEEE Journal of Selected Topics in Quantum Electronics (Issue on Biophotonics) 29(4), 1-12, (2023).
Krishna Sumanth, Naveen Paluru, Rama Krishna Gorthi, "3D Deformation Measurement in Digital Holographic Interferometry Using A Novel Multitask Deep Learning Architecture", Journal of the Optical Society of America A (Special Issue on Digital Holography and 3D Imaging) 39(1), 167-176 (2022).
Naveen Paluru, Aveen Dayal, Havard B. Jenssen, Tomas Sakinis, Linga R. Cenkeramaddi, Jaya Prakash, and Phaneendra K. Yalavarthy, "Anamorphic Depth Embedding based Light-Weight CNN for Segmentation of Anomalies in COVID-19 Chest CT Images", IEEE Transactions on Neural Networks and Learning Systems 32(3), 932-946 (2021).
Aveen Dayal, Naveen Paluru, Linga R. Cenkeramaddi, Soumya J, and Phaneendra K. Yalavarthy, "Design and Implementation of Deep Learning Based Contactless Authentication System Using Hand Gestures", Electronics 10(2), 182 (2021). [doi: 10.3390/electronics10020182]
Hariharan Ravishankar, Naveen Paluru, Prasad Sudhakar, and Phaneendra K. Yalavarthy, "UATTA-QSM: Uncertainty Aware Test Time Adaptation for Improved Quantitative Susceptibility Mapping", 21st IEEE International Symposium on Biomedical Imaging (ISBI), Houston, TX, USA, April 14-17, (2025).
Hariharan Ravishankar, Naveen Paluru, Prasad Sudhakar, and Phaneendra K. Yalavarthy, "Inference Time Adaptation for Improved Retinal Disease Diagnosis Using Optical Coherence Tomography Images", 21st IEEE International Symposium on Biomedical Imaging (ISBI), Houston, TX, USA, April 14-17, (2025).
Harsh Suthar, Naveen Paluru, Prasad Sudhakar, Avinash Gopal, and Pavan Annangi, "Synthesizing Ultrasound Datasets Using Mask Conditional Diffusion Models", IEEE Joint Symposium on Ultrasonics, Ferroelectrics, & Frequency Control, Taipei, Taiwan, September 22-24, (2024).
Raji Susan Mathew, Naveen Paluru, and Phaneendra K. Yalavarthy, "Magnitude-Weighting-Free Approach Enhances Vein Definition in Nonlinear Quantitative Susceptibility Mapping Reconstruction", Poster Presentation, ISMRM workshop, New Delhi, Feb, (2024).
[Naveen Paluru*, Raji Susan Mathew*] and Phaneendra K. Yalavarthy, "Artificial Intelligence in Healthcare - India Case Study", Biotechnology in India - Reworking a Strategy, Springer Nature, (2023). [* Equal Contribution].
Naveen Paluru, Raji Susan Mathew, and Phaneendra K. Yalavarthy, "TTC-QSM : Model Based Test Time Correction for Improved Quantitative Susceptibility Mapping", Poster Presentation, Medical Image Computing Workshop, Organized by IISc Bangalore, 24-25 Feb, (2023). [Best Poster Award]
Raji Susan Mathew, Naveen Paluru, and Phaneendra K. Yalavarthy, "Model Resoultion Based Deconvolution for Improved Quantitative Susceptibility Mapping", Poster Presentation, Medical Image Computing Workshop, Organized by IISc Bangalore, 24-25 Feb, (2023).
Naveen Paluru, Hariharan Ravi Shankar, and Phaneendra K. Yalavarthy, "Self Knowledge Distillation for Improving Generalizability of Retinal Diseases Classification Using Optical Coherence Tomography B-Scan Images", Poster, The Role of AI in Transforming Healthcare Workshop, Translational Health Science Technology Institute (THSTI), 11-12 June, (2022).
Hariharan Ravishankar, Naveen Paluru, and Phaneendra K. Yalavarthy, "Inference-time Adaptation of Deep Learning Models for Improved Retinal Diseases Classification in Optical Coherence Tomography B-Scan Images", Poster, The Role of AI in Transforming Healthcare Workshop, Translational Health Science Technology Institute (THSTI), 11-12 June, (2022).
Naveen Paluru, Mohana Murali, Sai Siva Gorthi, and Rama Krishna Gorthi, "Tracking by Detection and Counting by Tracking of RBCs and Sperm Cells in Imaging Cytometry", MedImage Workshop, Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP) , (2018).