Hello, I am Naveen Paluru. I am a Senior AI Scientist (Advanced Technology Group) at GE HealthCare, Bangalore, India.
Earlier, I completed Ph.D. under Prof. Phaneendra K Yalavarthy in the field of "Medical Image Analysis", at Department of Computational and Data Sciences (CDS), Indian Institute of Science (IISc) Bangalore.
Before Joining IISc, I completed M.S. (Research) under Prof. S. S. Rama Krishna Gorthi in the field of "Computer Vision", at Department of Electrical Engineering, Indian Institute of Technology Tirupati (IIT T).
MS (Aug2017 - July2019), Electrical Engg. , IIT Tirupati [CGPA 8.0/10]
BE (June 2012-May 2016), ECE, RIT, AU,Vizag, AP, [CGPA 9.1/10]
Research Interests
Medical Image Reconstruction, Medical Image Analysis, Annotation Efficient Deep Learning for Medical Image Analysis, Generalizable Deep Learning for Medical Image Analysis, Generative Synthetic Medical Images, Image Quality Assessment of Medical Images, Foundation Models for Medical Image Analysis, and Explainable AI for Healthcare.
Honors/Awards
Distinguished Reviewer Award (Silver Level, 2023) presented by IEEE Transactions on Medical Imaging. [certificate]
Certificate of Recognition from IEEE GCon 2023 in appreciation of valuable contributions as a Reviewer. [certificate]
Ph.D. Thesis Work "Development of Novel Deep Learning Models with Improved Generalizability for Medical Image Analysis" has been "Recommended with Commendation" during the Prime Ministers Research Fellowship (PMRF) annual review process, May 2023.
Recipient of Prime Ministers Research Fellowship (PMRF, August 2020 - July 2023) for the Ph.D. work at Department of Computational Data Science, Indian Institute of Science, Bangalore. This is the most prestigious grant awarded by Government of India to Ph.D. students.
Professional Activities
Reviewer: IEEE Transactions on Medical Imaging (TMI), IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Pattern Recognition, IEEE Transactions on Instrumentation and Measurement (TIM), Nature Scientific Reports, Medical Physics, Biomedical Signal Processing & Control and, Expert Systems with Applications.
Publications
These articles may be downloaded for personal use only. Any other use of these research articles requires prior permission of the author and/or the corresponding publisher.
Journals
2024
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, 2024 (in press).
[Utkarsh Gupta*, Naveen Paluru*], Deepankar Nankani, Kanchan Kulkarni, and Navchetan Awasthi, "A 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).
2023
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).
2022
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).
2021
Naveen Paluru, Aveen Dayal, Havard B. Jenssen, Tomas Sakinis, Linga R. Cenkeramaddi, Jaya Prakash, and Phaneendra K. Yalavarthy, "Anam-Net : 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).
Workshops/Chapters/Posters
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).
2023
Raji Susan Mathew*, Naveen Paluru*, and Phaneendra K. Yalavarthy, "Artificial Intelligence in Healthcare - India Case Study", Biotechnology in India - Reworking a Strategy, Springer Nature, (2023). [* Equal Contribution] (Under Review).
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).
2022
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).
2018
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).
Relevant Courses
M.S. : Linear Algebra, Digital Signal Processing, Pattern Recognition, Image and Video Processing, Research Methods, and Deep Learning for Computer Vision.
Ph.D. Numerical Methods, Numerical Linear Algebra, Numerical Optimization, Machine Learning for Signal Processing, Medical Imaging, Research Methods.
NPTEL:Deep Learning Part I (IIT Madras, 2018), Deep Learning Part II (IIT Madras, 2019), Advance Probability Theory (IIT Delhi, 2022).
Teaching Activities
Assistant
IISc Bangalore
Executive Program on Digital Health & Imaging Technology Jan-Aug, 2021
DS 211 (3:0): Numerical Optimization Aug-Dec, 2021
Executive Program on Digital Health & Imaging Technology Jan-Aug, 2022
DS 261 (3:1) : Artificial Intelligence for Medical Image Analysis Aug-Dec, 2022
CCE07 (3:1) : Artificial Intelligence for Medical Image Analysis Aug-Dec, 2022
DS 261o(3:1): Artificial Intelligence for Medical Image Analysis Jan-Apr, 2023
IIT Tirupati
EE5106 (3:1): Machine Learning for Image Processing Aug-Dec, 2018
Instructor
Introduction to Machine Learning and Deep Learning Jan - Apr, 2021 [Slides]
Introduction to Machine Learning and Deep Learning Sep - Dec, 2021 [Slides]
Introduction to Machine Learning and Deep Learning Mar - Jun, 2022 [Slides]
Introduction to Machine Learning and Deep Learning Oct - Nov, 2022 [Slides]
Introduction to Machine Learning and Deep Learning Apr - May, 2023 [Slides]
© Naveen Paluru, 2024.
Updated on March 17, 2024.