Abhilash Rakkunedeth Hareendranathan

49 papers A 1Journal 27Unranked 21

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	FlexICL: A Flexible Visual In-context Learning Framework for Elbow and Wrist Ultrasound Segmentation. CoRR Yuyue Zhou, Jessica Knight, Shrimanti Ghosh, Banafshe Felfeliyan, Jacob L. Jaremko, Abhilash Rakkunedeth Hareendranathan
2025	J	`jnl`	Retuve: Automated multi-modality analysis of hip dysplasia with open source AI. Softw. Impacts Adam McArthur, Stephanie Wichuk, Stephen Burnside, Andrew Kirby, Alexander Scammon, Damian Sol, Abhilash Rakkunedeth Hareendranathan, Jacob L. Jaremko
2025	—	`conf`	Shoulder Rotator Cuff Tear Detection from Ultrasound Videos Using Deep Reinforcement Learning. ISBI Shrimanti Ghosh, Geetika Vadali, Ayush Singh, Yuyue Zhou, Banafshe Felfeliyan, Assefa Seyoum Wahd, Jessica Knight, Mahesh R. Panicker, Jacob L. Jaremko, Abhilash Rakkunedeth Hareendranathan
2025	—	`conf`	Time-Contrastive Pretraining for In-Context Image and Video Segmentation. MICCAI (1) Assefa Seyoum Wahd, Jacob L. Jaremko, Abhilash Rakkunedeth Hareendranathan
2025	J	`jnl`	Time-Contrastive Pretraining for In-Context Image and Video Segmentation. CoRR Assefa Seyoum Wahd, Jacob L. Jaremko, Abhilash Rakkunedeth Hareendranathan
2024	J	`jnl`	A Simple Framework Uniting Visual In-context Learning with Masked Image Modeling to Improve Ultrasound Segmentation. CoRR Yuyue Zhou, Banafshe Felfeliyan, Shrimanti Ghosh, Jessica Knight, Fatima Alves-Pereira, Christopher Keen, Jessica Küpper, Abhilash Rakkunedeth Hareendranathan, Jacob L. Jaremko
2024	J	`jnl`	Application Of Vision-Language Models For Assessing Osteoarthritis Disease Severity. CoRR Banafshe Felfeliyan, Yuyue Zhou, Shrimanti Ghosh, Jessica Küpper, Shaobo Liu, Abhilash Rakkunedeth Hareendranathan, Jacob L. Jaremko
2024	—	`conf`	Automated Detection of Shoulder Rotator Cuff Tendon Tears from Ultrasound Images by CNN-Autoencoder. ISBI Shrimanti Ghosh, Banafshe Felfeliyan, Yuyue Zhou, Shaobo Liu, Jessica Knight, Natasha Akhlaq, Jessica Küpper, Abhilash Rakkunedeth Hareendranathan, Jacob L. Jaremko
2024	J	`jnl`	Sam2Rad: A Segmentation Model for Medical Images with Learnable Prompts. CoRR Assefa Seyoum Wahd, Banafshe Felfeliyan, Yuyue Zhou, Shrimanti Ghosh, Adam McArthur, Jiechen Zhang, Jacob L. Jaremko, Abhilash Rakkunedeth Hareendranathan
2024	—	`conf`	Semantic AutoSAM: Self-Prompting Segment Anything Model for Semantic Segmentation of Medical Images. EMBC Assefa Seyoum Wahd, Jessica Küpper, Jacob L. Jaremko, Abhilash Rakkunedeth Hareendranathan
2024	—	`conf`	SimICL: A Simple Visual In-context Learning Framework for Ultrasound Segmentation. EMBC Yuyue Zhou, Banafshe Felfeliyan, Shrimanti Ghosh, Jessica Knight, Fatima Alves-Pereira, Christopher Keen, Jessica Küpper, Abhilash Rakkunedeth Hareendranathan, Jacob L. Jaremko
2024	—	`conf`	Ultrasound for Automated Classification of Full-Thickness Rotator Cuff Tendon Tears using Deep Learning. EMBC Shrimanti Ghosh, Banafshe Felfeliyan, Yuyue Zhou, Jessica Knight, Natasha Akhlaq, Jessica Küpper, Abhilash Rakkunedeth Hareendranathan, Jacob L. Jaremko
2023	—	`conf`	Self-Supervised Learning to More Efficiently Generate Segmentation Masks for Wrist Ultrasound. ASMUS@MICCAI Yuyue Zhou, Jessica Knight, Banafshe Felfeliyan, Shrimanti Ghosh, Fatima Alves-Pereira, Christopher Keen, Abhilash Rakkunedeth Hareendranathan, Jacob L. Jaremko
2023	J	`jnl`	Self-supervised TransUNet for Ultrasound regional segmentation of the distal radius in children. CoRR Yuyue Zhou, Jessica Knight, Banafshe Felfeliyan, Christopher Keen, Abhilash Rakkunedeth Hareendranathan, Jacob L. Jaremko
2023	J	`jnl`	Self-supervised-RCNN for medical image segmentation with limited data annotation. Comput. Medical Imaging Graph. Banafshe Felfeliyan, Nils D. Forkert, Abhilash Rakkunedeth Hareendranathan, David Cornel, Yuyue Zhou, Gregor Kuntze, Jacob L. Jaremko, Janet Lenore Ronsky
2023	—	`conf`	Single Image based Super Resolution Ultrasound Imaging Using Residual Learning of Wavelet Features. EMBC Adithya Sineesh, Manish Rangarajan Shankar, Abhilash Rakkunedeth Hareendranathan, Mahesh Raveendranatha Panicker, P. Palanisamy
2023	J	`jnl`	Unsupervised Multi-Latent Space RL Framework for Video Summarization in Ultrasound Imaging. IEEE J. Biomed. Health Informatics Roshan P. Mathews, Mahesh Raveendranatha Panicker, Abhilash Rakkunedeth Hareendranathan, Yale Tung Chen, Jacob L. Jaremko, Brian Buchanan, Kiran Vishnu Narayan, Chandrasekharan Kesavadas, Greeta Mathews
2023	J	`jnl`	Unsupervised landmark detection and classification of lung infection using transporter neural networks. Comput. Biol. Medicine Arpan Tripathi, Mahesh Raveendranatha Panicker, Abhilash Rakkunedeth Hareendranathan, Jacob L. Jaremko, Yale Tung Chen, Kiran Vishnu Narayan, C. Kesavadas
2022	J	`jnl`	Domain-aware contrastive learning for ultrasound hip image analysis. Comput. Biol. Medicine Abhilash Rakkunedeth Hareendranathan, Arpan Tripathi, Mahesh Raveendranatha Panicker, Yuyue Zhou, Jessica Knight, Jacob L. Jaremko
2022	—	`conf`	RL Based Unsupervised Video Summarization Framework for Ultrasound Imaging. ASMUS@MICCAI Roshan P. Mathews, Mahesh Raveendranatha Panicker, Abhilash Rakkunedeth Hareendranathan, Yale Tung Chen, Jacob L. Jaremko, Brian Buchanan, Kiran Vishnu Narayan, Kesavadas Chandrasekharan, Greeta Mathews
2022	J	`jnl`	Self-Supervised-RCNN for Medical Image Segmentation with Limited Data Annotation. CoRR Banafshe Felfeliyan, Abhilash Rakkunedeth Hareendranathan, Gregor Kuntze, David Cornell, Nils D. Forkert, Jacob L. Jaremko, Janet Lenore Ronsky
2022	J	`jnl`	Weakly Supervised Medical Image Segmentation With Soft Labels and Noise Robust Loss. CoRR Banafshe Felfeliyan, Abhilash Rakkunedeth Hareendranathan, Gregor Kuntze, Stephanie Wichuk, Nils D. Forkert, Jacob L. Jaremko, Janet Lenore Ronsky
2022	—	`conf`	Weakly Supervised Medical Image Segmentation with Soft Labels and Noise Robust Loss. ICPR Workshops (2) Banafshe Felfeliyan, Abhilash Rakkunedeth Hareendranathan, Gregor Kuntze, Stephanie Wichuk, Nils D. Forkert, Jacob L. Jaremko, Janet Lenore Ronsky
2021	J	`jnl`	A New Semi-Automated Algorithm for Volumetric Segmentation of the Left Ventricle in Temporal 3D Echocardiography Sequences. CoRR Deepa Krishnaswamy, Abhilash Rakkunedeth Hareendranathan, Tan Suwatanaviroj, Pierre Boulanger, Harald Becher, Michelle Noga, Kumaradevan Punithakumar
2021	—	`conf`	Automatic Assessment Of Hip Effusion From MRI. EMBC Abhilash Rakkunedeth Hareendranathan, Yungchan Jin, Banafshe Felfeliyan, Janet Lenore Ronsky, Bashiar Thejeel, Vanessa Quinn-Laurin, Jacob L. Jaremko
2021	J	`jnl`	Domain Specific Transporter Framework to Detect Fractures in Ultrasound. CoRR Arpan Tripathi, Abhilash Rakkunedeth Hareendranathan, Mahesh Raveendranatha Panicker, Jack Zhang, Naveenjyote Boora, Jacob L. Jaremko
2021	J	`jnl`	Improved-Mask R-CNN: Towards an Accurate Generic MSK MRI instance segmentation platform (Data from the Osteoarthritis Initiative). CoRR Banafshe Felfeliyan, Abhilash Rakkunedeth Hareendranathan, Gregor Kuntze, Jacob L. Jaremko, Janet Lenore Ronsky
2021	—	`conf`	Integrating User-Input into Deep Convolutional Neural Networks for Thyroid Nodule Segmentation. EMBC Rajshree Daulatabad, Roberto Vega, Jacob L. Jaremko, Jeevesh Kapur, Abhilash Rakkunedeth Hareendranathan, Kumaradevan Punithakumar
2021	J	`jnl`	Learning the Imaging Landmarks: Unsupervised Key point Detection in Lung Ultrasound Videos. CoRR Arpan Tripathi, Mahesh Raveendranatha Panicker, Abhilash Rakkunedeth Hareendranathan, Yale Tung Chen, Jacob L. Jaremko, Kiran Vishnu Narayan, Kesavadas C
2021	—	`conf`	MRI Knee Domain Translation for Unsupervised Segmentation By CycleGAN (data from Osteoarthritis initiative (OAI)). EMBC Banafshe Felfeliyan, Abhilash Rakkunedeth Hareendranathan, Gregor Kuntze, Jacob L. Jaremko, Janet Lenore Ronsky
2021	J	`jnl`	Sample Efficient Learning of Image-Based Diagnostic Classifiers Using Probabilistic Labels. CoRR Roberto Vega, Pouneh Gorji, Zichen Zhang, Xuebin Qin, Abhilash Rakkunedeth Hareendranathan, Jeevesh Kapur, Jacob L. Jaremko, Russell Greiner
2021	A	`conf`	Sample efficient learning of image-based diagnostic classifiers via probabilistic labels. AISTATS Roberto Vega, Pouneh Gorji, Zichen Zhang, Xuebin Qin, Abhilash Rakkunedeth Hareendranathan, Jeevesh Kapur, Jacob L. Jaremko, Russell Greiner
2021	—	`conf`	Thyroid Nodule Segmentation and Classification Using Deep Convolutional Neural Network and Rule-based Classifiers. EMBC Atefeh Shahroudnejad, Roberto Vega, Amir Forouzandeh, Sharanya Balachandran, Jacob L. Jaremko, Michelle Noga, Abhilash Rakkunedeth Hareendranathan, Jeevesh Kapur, Kumaradevan Punithakumar
2021	J	`jnl`	Unsupervised multi-latent space reinforcement learning framework for video summarization in ultrasound imaging. CoRR Roshan P. Mathews, Mahesh Raveendranatha Panicker, Abhilash Rakkunedeth Hareendranathan, Yale Tung Chen, Jacob L. Jaremko, Brian Buchanan, Kiran Vishnu Narayan, Kesavadas C, Greeta Mathews
2021	J	`jnl`	vid-SAMGRAH: A PyTorch framework for multi-latent space reinforcement learning driven video summarization in ultrasound imaging. Softw. Impacts Roshan P. Mathews, Mahesh Raveendranatha Panicker, Abhilash Rakkunedeth Hareendranathan
2020	J	`jnl`	A systematic review on the role of artificial intelligence in sonographic diagnosis of thyroid cancer: Past, present and future. CoRR Fatemeh Abdolali, Atefeh Shahroudnejad, Abhilash Rakkunedeth Hareendranathan, Jacob L. Jaremko, Michelle Noga, Kumaradevan Punithakumar
2020	J	`jnl`	Automated thyroid nodule detection from ultrasound imaging using deep convolutional neural networks. Comput. Biol. Medicine Fatemeh Abdolali, Jeevesh Kapur, Jacob L. Jaremko, Michelle Noga, Abhilash Rakkunedeth Hareendranathan, Kumaradevan Punithakumar
2019	—	`conf`	Right Ventricular Segmentation from MRI Using Deep Convolutional Neural Networks. EMBC Hakimeh Purmehdi, Abhilash Rakkunedeth Hareendranathan, Michelle Noga, Kumaradevan Punithakumar
2018	—	`conf`	A Novel 4D Semi-Automated Algorithm for Volumetric Segmentation in Echocardiography. EMBC Deepa Krishnaswamy, Abhilash Rakkunedeth Hareendranathan, Tan Suwatanaviroj, Pierre Boulanger, Harald Becher, Michelle Noga, Kumaradevan Punithakumar
2018	J	`jnl`	A Semi-Automated Method for Measurement of Left Ventricular Volumes in 3D Echocardiography. IEEE Access Deepa Krishnaswamy, Abhilash Rakkunedeth Hareendranathan, Tan Suwatanaviroj, Harald Becher, Michelle Noga, Kumaradevan Punithakumar
2018	—	`conf`	Multiview Three-Dimensional Echocardiography Image Fusion Using a Passive Measurement Arm. EMBC Kumaradevan Punithakumar, Andrew Whittle, Marina Choy, Abhilash Rakkunedeth Hareendranathan, Michelle Noga, Pierre Boulanger, Harald Becher
2018	J	`jnl`	Random Walker Framework for Sensor-Based Echocardiography Fusion. IEEE Access Abhilash Rakkunedeth Hareendranathan, Michelle Noga, Pierre Boulanger, Harald Becher, Kumaradevan Punithakumar
2017	J	`jnl`	Semiautomatic classification of acetabular shape from three-dimensional ultrasound for diagnosis of infant hip dysplasia using geometric features. Int. J. Comput. Assist. Radiol. Surg. Abhilash Rakkunedeth Hareendranathan, Dornoosh Zonoobi, Myles Mabee, Chad Diederichs, Kumaradevan Punithakumar, Michelle Noga, Jacob L. Jaremko
2017	—	`conf`	Toward automatic diagnosis of hip dysplasia from 2D ultrasound. ISBI Abhilash Rakkunedeth Hareendranathan, Dornoosh Zonoobi, Myles Mabee, Dana Cobzas, Kumaradevan Punithakumar, Michelle Noga, Jacob L. Jaremko
2016	J	`jnl`	A technique for semiautomatic segmentation of echogenic structures in 3D ultrasound, applied to infant hip dysplasia. Int. J. Comput. Assist. Radiol. Surg. Abhilash Rakkunedeth Hareendranathan, Myles Mabee, Kumaradevan Punithakumar, Michelle Noga, Jacob L. Jaremko
2016	—	`conf`	Hip segmentation from MRI volumes in infants for DDH diagnosis and treatment planning. EMBC Abhilash Rakkunedeth Hareendranathan, Dornoosh Zonoobi, Myles Mabee, Chad Diederichs, Kumaradevan Punithakumar, Michelle Noga, Jacob L. Jaremko
2016	—	`conf`	Multiview echocardiography fusion using an electromagnetic tracking system. EMBC Kumaradevan Punithakumar, Abhilash Rakkunedeth Hareendranathan, Riitta Paakkanen, Nehan Khan, Michelle Noga, Pierre Boulanger, Harald Becher
2016	—	`conf`	Patient movement compensation for 3D echocardiography fusion. EMBC Abhilash Rakkunedeth Hareendranathan, Michelle Hanbidge, Allen He, Michelle Noga, Pierre Boulanger, Harald Becher, Kumaradevan Punithakumar
2016	J	`jnl`	Toward automated classification of acetabular shape in ultrasound for diagnosis of DDH: Contour alpha angle and the rounding index. Comput. Methods Programs Biomed. Abhilash Rakkunedeth Hareendranathan, Myles Mabee, Kumaradevan Punithakumar, Michelle Noga, Jacob L. Jaremko