Abhilash Rakkunedeth Hareendranathan

Orcid: 0000-0001-6201-9258

According to our database1, Abhilash Rakkunedeth Hareendranathan authored at least 54 papers between 2016 and 2026.

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Bibliography

2026
Robust Cross-Domain Generalization Using Unlabeled Target Data with Source-Domain Supervision.
CoRR, May, 2026

Dynamic automated template generation in knee MRI for region-specific arthritis assessment.
Neurocomputing, 2026

FlexICL: A Flexible Visual In-Context Learning Framework for Elbow and Wrist Ultrasound Segmentation.
IEEE Access, 2026

Intuitive Gradient Feedback: Continuous Ultrasound Scan Quality from Weak Expert Preferences for Probe Guidance.
Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

Deep Learning-Based Accelerated Adaptive Beamforming for Enhanced Musculoskeletal Ultrasound Imaging.
Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025
Retuve: Automated multi-modality analysis of hip dysplasia with open source AI.
Softw. Impacts, 2025

Sam2Rad: A segmentation model for medical images with learnable prompts.
Comput. Biol. Medicine, 2025

Time-Contrastive Pretraining for In-Context Image and Video Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Shoulder Rotator Cuff Tear Detection from Ultrasound Videos Using Deep Reinforcement Learning.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2024
A Simple Framework Uniting Visual In-context Learning with Masked Image Modeling to Improve Ultrasound Segmentation.
CoRR, 2024

Application Of Vision-Language Models For Assessing Osteoarthritis Disease Severity.
CoRR, 2024

Automated Detection of Shoulder Rotator Cuff Tendon Tears from Ultrasound Images by CNN-Autoencoder.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Application of Vision-Language Models for Assessing Osteoarthritis.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

SimICL: A Simple Visual In-context Learning Framework for Ultrasound Segmentation.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

Semantic AutoSAM: Self-Prompting Segment Anything Model for Semantic Segmentation of Medical Images.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

Ultrasound for Automated Classification of Full-Thickness Rotator Cuff Tendon Tears using Deep Learning.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

2023
Self-supervised-RCNN for medical image segmentation with limited data annotation.
Comput. Medical Imaging Graph., October, 2023

Unsupervised Multi-Latent Space RL Framework for Video Summarization in Ultrasound Imaging.
IEEE J. Biomed. Health Informatics, 2023

Self-supervised TransUNet for Ultrasound regional segmentation of the distal radius in children.
CoRR, 2023

Unsupervised landmark detection and classification of lung infection using transporter neural networks.
Comput. Biol. Medicine, 2023

Self-Supervised Learning to More Efficiently Generate Segmentation Masks for Wrist Ultrasound.
Proceedings of the Simplifying Medical Ultrasound - 4th International Workshop, 2023

Single Image based Super Resolution Ultrasound Imaging Using Residual Learning of Wavelet Features.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022
Self-Supervised-RCNN for Medical Image Segmentation with Limited Data Annotation.
CoRR, 2022

Improved-Mask R-CNN: Towards an accurate generic MSK MRI instance segmentation platform (data from the Osteoarthritis Initiative).
Comput. Medical Imaging Graph., 2022

Domain-aware contrastive learning for ultrasound hip image analysis.
Comput. Biol. Medicine, 2022

RL Based Unsupervised Video Summarization Framework for Ultrasound Imaging.
Proceedings of the Simplifying Medical Ultrasound - Third International Workshop, 2022

Weakly Supervised Medical Image Segmentation with Soft Labels and Noise Robust Loss.
Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022

Wrist Ultrasound Segmentation by Deep Learning.
Proceedings of the Artificial Intelligence in Medicine, 2022

2021
vid-SAMGRAH: A PyTorch framework for multi-latent space reinforcement learning driven video summarization in ultrasound imaging.
Softw. Impacts, 2021

Physics Driven Domain Specific Transporter Framework with Attention Mechanism for Ultrasound Imaging.
CoRR, 2021

Unsupervised multi-latent space reinforcement learning framework for video summarization in ultrasound imaging.
CoRR, 2021

A New Semi-Automated Algorithm for Volumetric Segmentation of the Left Ventricle in Temporal 3D Echocardiography Sequences.
CoRR, 2021

Learning the Imaging Landmarks: Unsupervised Key point Detection in Lung Ultrasound Videos.
CoRR, 2021

Domain Specific Transporter Framework to Detect Fractures in Ultrasound.
CoRR, 2021

Sample Efficient Learning of Image-Based Diagnostic Classifiers Using Probabilistic Labels.
CoRR, 2021

Thyroid Nodule Segmentation and Classification Using Deep Convolutional Neural Network and Rule-based Classifiers.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Automatic Assessment Of Hip Effusion From MRI.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

MRI Knee Domain Translation for Unsupervised Segmentation By CycleGAN (data from Osteoarthritis initiative (OAI)).
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Integrating User-Input into Deep Convolutional Neural Networks for Thyroid Nodule Segmentation.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Sample efficient learning of image-based diagnostic classifiers via probabilistic labels.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
A systematic review on the role of artificial intelligence in sonographic diagnosis of thyroid cancer: Past, present and future.
CoRR, 2020

Automated thyroid nodule detection from ultrasound imaging using deep convolutional neural networks.
Comput. Biol. Medicine, 2020

2019
Right Ventricular Segmentation from MRI Using Deep Convolutional Neural Networks.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
A Semi-Automated Method for Measurement of Left Ventricular Volumes in 3D Echocardiography.
IEEE Access, 2018

Random Walker Framework for Sensor-Based Echocardiography Fusion.
IEEE Access, 2018

Multiview Three-Dimensional Echocardiography Image Fusion Using a Passive Measurement Arm.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

A Novel 4D Semi-Automated Algorithm for Volumetric Segmentation in Echocardiography.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
Semiautomatic classification of acetabular shape from three-dimensional ultrasound for diagnosis of infant hip dysplasia using geometric features.
Int. J. Comput. Assist. Radiol. Surg., 2017

Toward automatic diagnosis of hip dysplasia from 2D ultrasound.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016
Toward automated classification of acetabular shape in ultrasound for diagnosis of DDH: Contour alpha angle and the rounding index.
Comput. Methods Programs Biomed., 2016

A technique for semiautomatic segmentation of echogenic structures in 3D ultrasound, applied to infant hip dysplasia.
Int. J. Comput. Assist. Radiol. Surg., 2016

Multiview echocardiography fusion using an electromagnetic tracking system.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Patient movement compensation for 3D echocardiography fusion.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Hip segmentation from MRI volumes in infants for DDH diagnosis and treatment planning.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016


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