Research Publications:

Journals:

1. Madhavanunni A. N. and Mahesh Raveendranatha Panicker, "A Nonlinear Beamforming for Enhanced Spatiotemporal Sensitivity in High Frame Rate Ultrasound Flow Imaging", Computers in Biology and Medicine, vol. 147, p. 105686, Aug. 2022. [arXiv] [GitHub]

2. Madhavanunni A. N. and Mahesh Raveendranatha Panicker, “Beam Multiply and Sum: A Tradeoff between Delay and Sum and Filtered Delay Multiply and Sum Beamforming for Ultrafast Ultrasound Imaging", Biomedical Signal Processing and Control,” vol. 85, p.104807, Aug 2023. [GitHub]. 

International Conferences:

1. Midhila Madhusoodanan, A. N. Madhavanunni, Deep Bera, Veerendra K Shetty, Bala Subrahmanyam Varanasi and Mahesh Raveendranatha Panicker, "TGC-NET: A Deep Learning Model for Automatic Time Gain Compensation for Ultrasound Imaging", IEEE International Symposium for Biomedical Imaging 2025 (IEEE ISBI 2025), Houston, TX, USA. April 2025 (Accepted).

2. Arun Kumar V., Madhavanunni A.N. and Mahesh Raveendranatha Panicker, "AI Enabled High Frame Rate Portable Ultrasound Imaging Pipeline: Prototype Implementation with GPU Acceleration", 2024 IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium, Taipei, Taiwan, September 2024. [arXiv]

3. Mahesh Raveendranatha Panicker, A. N. Madhavanunni, Gayathri Malamal, "Towards Automated Image Quality Assessment in Ultrasound Imaging", 2024 IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium, Taipei, Taiwan, September 2024.

4. Joel Joy, A. N. Madhavanunni, Gayathri Malamal, and Mahesh Raveendranatha Panicker, "Towards Multi-Perspective Panoramic Ultrasound Imaging Using Low-Cost 3D Printed Track and 1D Linear Probe", IEEE International Symposium for Biomedical Imaging 2024 (IEEE ISBI 2024), Athens, Greece. May 2024.

5. Madhavanunni A.N. and Mahesh Raveendranatha Panicker, "On the Performance Investigation of Diverging-Wave-Based Vector Doppler Imaging with Linear Arrays: In-silico Results", IEEE South Asian Ultrasonics Symposium 2024 (SAUS 2024), Gandhinagar, India. March 2024. (Finalist for the Best Poster Competition)

6. Madhavanunni A.N., Niya Mariam Benoy, Mahesh Raveendranatha Panicker, and Himanshu Shekhar, "A Performance Evaluation of Filtered Delay Multiply and Sum Beamforming for Ultrasound Localization Microscopy: Preliminary Results", IEEE South Asian Ultrasonics Symposium 2024 (SAUS 2024), Gandhinagar, India. March 2024. (Best Paper Award (2nd Prize)) [arXiv]

7. Arun Kumar V.*, Madhavanunni A.N.*, Nivetha S., and Mahesh Raveendranatha Panicker, "On the Echogenicity of Natural Starch-Based Blood Mimicking Fluids for Contrast Enhanced Ultrasound Imaging: Preliminary In-vitro Experiments", IEEE South Asian Ultrasonics Symposium 2024 (SAUS 2024), Gandhinagar, India. March 2024. [arXiv]

8. Madhavanunni A.N. and Mahesh Raveendranatha Panicker, "Performance Evaluation of Beam Multiply and Sum Beamforming with Coherent Plane Wave Compounding: In-vitro Results", IEEE South Asian Ultrasonics Symposium 2024 (SAUS 2024), Gandhinagar, India. March 2024.

9. Antony Jerald, A. N. Madhavanunni, Gayathri Malamal, Pisharody Harikrishnan Gopalakrishnan and Mahesh Raveendranatha Panicker, "A Simplified 3D Ultrasound Freehand Imaging Framework Using 1D Linear Probe and Low-Cost Mechanical Track", in Proc. of 8th International Conference on Computer Vision & Image Processing (CVIP-2023), Jammu, India. Nov. 2023. [arXiv]

10. Asif MS*, Malamal G*, Madhavanunni AN, Melapudi V, Rahul V, Patil A, Langoju R, Raveendranatha Panicker M. "Fast Marching based Tissue Adaptive Delay Estimation for Aberration Corrected Delay and Sum Beamforming in Ultrasound Imaging". in Proc. of 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2023), Sydney, Australia, July 2023 [arXiv]

11. Mayank Katare, Mahesh Raveendranatha Panicker, Madhavanunni A.N., and Gayathri M, “Learning while Acquisition: Towards Active Learning Framework for Beamforming in Ultrasound Imaging,” in Proc. of MICCAI 5th International Workshop on Machine Learning for Medical Image Reconstruction, MLMIR 2022, Singapore, Sep. 2022. [arXiv]

12. Madhavanunni A.N. and Mahesh Raveendranatha Panicker, "Lesion Detectability and Contrast Enhancement with Beam Multiply and Sum Beamforming for Non-steered Plane Wave Ultrasound Imaging", in Proc. of IEEE 19th International Symposium on Biomedical Imaging (ISBI), 2022, ITC Royal Bengal, Kolkata, India, March 2022. 

13. Madhavanunni A.N. and Mahesh Raveendranatha Panicker, "An Angle Independent Depth Aware Fusion Beamforming Approach for Ultrafast Ultrasound Flow Imaging", in Proc. of 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Mexico (Online), Oct 2021. [arXiv] (Finalist for the Student Paper Competition)

14. Mahesh Raveendranatha Panicker, Yale Tung Chen, Gayathri M, Madhavanunni A N, Kiran Vishnu Narayan, C Kesavadas and A P Vinod, "Employing acoustic features to aid neural networks towards platform agnostic learning in lung ultrasound imaging", in Proc. of 28th IEEE International Conference on Image Processing (ICIP) 2021, Alaska, Sep 2021.

15. Madhavanunni A.N. and Mahesh Raveendranatha Panicker, "Directional beam focusing based dual apodization approach for improved vector flow imaging", in Proc. of 17th IEEE International Symposium on Biomedical Imaging (ISBI), 2020, Iowa City, April 2020. 

16. Madhavanunni A.N. and Mahesh Raveendranatha Panicker, "Triangulation based vector flow imaging with non-steered plane waves for transverse flows", in Proc. of SPIE Medical Imaging 2020, Houston, Feb 2020. (Finalist for the Robert F. Wagner All Conference Best Student Paper Award )

*Equal Contributions

Preprints: 

1. Antony Jerald, A. N. Madhavanunni, Gayathri Malamal, and Mahesh Raveendranatha Panicker, "Towards Non-contact 3D Ultrasound for Wrist Imaging", [arXiv]

2. Sairoop Bodepudi, A N Madhavanunni, and Mahesh Raveendranatha Panicker, "Patch Based Transformation for Minimum Variance Beamformer Image Approximation Using Delay and Sum Pipeline", [arXiv]

3. Mahesh Raveendranatha Panicker, Yale Tung Chen, Gayathri M, Madhavanunni A N, Kiran Vishnu Narayan, C Kesavadas and A P Vinod, "An Approach Towards Physics Informed Lung Ultrasound Image Scoring Neural Network for Diagnostic Assistance in COVID-19". [arXiv]

Patents:

1. Antony Jerald, A.N. Madhavanunni, G. Malamal, Mahesh Raveendranatha Panicker, Harikrishnan Pisharody Gopalakrishnan, “Apparatus and Method for Ultrasound 3D Imaging Through Contactless Freehand Linear Scanning” India Patent No. 202441053051. (Filed)

2. Harikrishnan Pisharody Gopalkrishnan, Mahesh Raveendranatha Panicker, Madhavanunni A.N., Gayathri Malamal. "Array Adaptive Ultrasound Apparatus for Variable Field of View Imaging" India Patent No. 202141036310 (Published)

Teaching Assistance

EE2080 - Microprocessor Design and Interfacing (Jan - May 2023, Jan - May 2022, Jan - May 2021)

EE2170 - Digital Circuits Lab (Aug - Nov 2022, Jan - May 2021, Aug - Nov 2019)

EE5005 - Digital Image Processing (Aug - Nov 2021)

ME1160 - Workshop Practice II (Aug - Nov 2021)

EE2010 - Basic Electrical Engineering (Aug - Nov 2020) 

EE4051 - Biomedical Instrumentation and Signal Processing (Jan - May 2019)