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,” (Accepted, March 2023) [GitHub]. 

International Conferences:

1. 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]

2. 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. 

3. 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)

4. 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.

5. 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. 

6. 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)

Preprints: 

1. 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",  [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. 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)