Abhilash Rakkunedeth Hareendranathan

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 39

Top Topics

Ultrasound Imaging

Video Summarization

Convolutional Neural Networks

Top Venues

Comput. Biol. Medicine

Int. J. Comput. Assist. Radiol. Surg.

Publications

Yuyue Zhou, Banafshe Felfeliyan, Shrimanti Ghosh, Jessica Knight, Fatima Alves-Pereira, Christopher Keen, Jessica Küpper, Abhilash Rakkunedeth Hareendranathan, Jacob L. Jaremko
A Simple Framework Uniting Visual In-context Learning with Masked Image Modeling to Improve Ultrasound Segmentation. CoRR (2024)
Banafshe Felfeliyan, Yuyue Zhou, Shrimanti Ghosh, Jessica Kupper, Shaobo Liu, Abhilash Rakkunedeth Hareendranathan, Jacob L. Jaremko
Application Of Vision-Language Models For Assessing Osteoarthritis Disease Severity. CoRR (2024)
Banafshe Felfeliyan, Nils D. Forkert, Abhilash Rakkunedeth Hareendranathan, David Cornel, Yuyue Zhou, Gregor Kuntze, Jacob L. Jaremko, Janet Lenore Ronsky
Self-supervised-RCNN for medical image segmentation with limited data annotation. Comput. Medical Imaging Graph. 109 (2023)
Roshan P. Mathews, Mahesh Raveendranatha Panicker, Abhilash Rakkunedeth Hareendranathan, Yale Tung Chen, Jacob L. Jaremko, Brian Buchanan, Kiran Vishnu Narayan, Chandrasekharan Kesavadas, Greeta Mathews
Unsupervised Multi-Latent Space RL Framework for Video Summarization in Ultrasound Imaging. IEEE J. Biomed. Health Informatics 27 (1) (2023)
Yuyue Zhou, Jessica Knight, Banafshe Felfeliyan, Christopher Keen, Abhilash Rakkunedeth Hareendranathan, Jacob L. Jaremko
Self-supervised TransUNet for Ultrasound regional segmentation of the distal radius in children. CoRR (2023)
Adithya Sineesh, Manish Rangarajan Shankar, Abhilash Rakkunedeth Hareendranathan, Mahesh Raveendranatha Panicker, P. Palanisamy
Single Image based Super Resolution Ultrasound Imaging Using Residual Learning of Wavelet Features. EMBC (2023)
Yuyue Zhou, Jessica Knight, Banafshe Felfeliyan, Shrimanti Ghosh, Fatima Alves-Pereira, Christopher Keen, Abhilash Rakkunedeth Hareendranathan, Jacob L. Jaremko
Self-Supervised Learning to More Efficiently Generate Segmentation Masks for Wrist Ultrasound. ASMUS@MICCAI (2023)
Arpan Tripathi, Mahesh Raveendranatha Panicker, Abhilash Rakkunedeth Hareendranathan, Jacob L. Jaremko, Yale Tung Chen, Kiran Vishnu Narayan, C. Kesavadas
Unsupervised landmark detection and classification of lung infection using transporter neural networks. Comput. Biol. Medicine 152 (2023)
Abhilash Rakkunedeth Hareendranathan, Arpan Tripathi, Mahesh Raveendranatha Panicker, Yuyue Zhou, Jessica Knight, Jacob L. Jaremko
Domain-aware contrastive learning for ultrasound hip image analysis. Comput. Biol. Medicine 149 (2022)
Banafshe Felfeliyan, Abhilash Rakkunedeth Hareendranathan, Gregor Kuntze, David Cornell, Nils D. Forkert, Jacob L. Jaremko, Janet Lenore Ronsky
Self-Supervised-RCNN for Medical Image Segmentation with Limited Data Annotation. CoRR (2022)
Banafshe Felfeliyan, Abhilash Rakkunedeth Hareendranathan, Gregor Kuntze, Stephanie Wichuk, Nils D. Forkert, Jacob L. Jaremko, Janet Lenore Ronsky
Weakly Supervised Medical Image Segmentation with Soft Labels and Noise Robust Loss. ICPR Workshops (2) (2022)
Banafshe Felfeliyan, Abhilash Rakkunedeth Hareendranathan, Gregor Kuntze, Stephanie Wichuk, Nils D. Forkert, Jacob L. Jaremko, Janet Lenore Ronsky
Weakly Supervised Medical Image Segmentation With Soft Labels and Noise Robust Loss. CoRR (2022)
Roshan P. Mathews, Mahesh Raveendranatha Panicker, Abhilash Rakkunedeth Hareendranathan, Yale Tung Chen, Jacob L. Jaremko, Brian Buchanan, Kiran Vishnu Narayan, Kesavadas Chandrasekharan, Greeta Mathews
RL Based Unsupervised Video Summarization Framework for Ultrasound Imaging. ASMUS@MICCAI (2022)
Roberto Vega, Pouneh Gorji, Zichen Vincent Zhang, Xuebin Qin, Abhilash Rakkunedeth Hareendranathan, Jeevesh Kapur, Jacob L. Jaremko, Russell Greiner
Sample efficient learning of image-based diagnostic classifiers via probabilistic labels. AISTATS (2021)
Arpan Tripathi, Abhilash Rakkunedeth Hareendranathan, Mahesh Raveendranatha Panicker, Jack Zhang, Naveenjyote Boora, Jacob L. Jaremko
Domain Specific Transporter Framework to Detect Fractures in Ultrasound. CoRR (2021)
Roberto Vega, Pouneh Gorji, Zichen Vincent Zhang, Xuebin Qin, Abhilash Rakkunedeth Hareendranathan, Jeevesh Kapur, Jacob L. Jaremko, Russell Greiner
Sample Efficient Learning of Image-Based Diagnostic Classifiers Using Probabilistic Labels. CoRR (2021)
Deepa Krishnaswamy, Abhilash Rakkunedeth Hareendranathan, Tan Suwatanaviroj, Pierre Boulanger, Harald Becher, Michelle Noga, Kumaradevan Punithakumar
A New Semi-Automated Algorithm for Volumetric Segmentation of the Left Ventricle in Temporal 3D Echocardiography Sequences. CoRR (2021)
Banafshe Felfeliyan, Abhilash Rakkunedeth Hareendranathan, Gregor Kuntze, Jacob L. Jaremko, Janet Lenore Ronsky
Improved-Mask R-CNN: Towards an Accurate Generic MSK MRI instance segmentation platform (Data from the Osteoarthritis Initiative). CoRR (2021)
Abhilash Rakkunedeth Hareendranathan, Yungchan Jin, Banafshe Felfeliyan, Janet Lenore Ronsky, Bashiar Thejeel, Vanessa Quinn-Laurin, Jacob L. Jaremko
Automatic Assessment Of Hip Effusion From MRI. EMBC (2021)
Arpan Tripathi, Mahesh Raveendranatha Panicker, Abhilash Rakkunedeth Hareendranathan, Yale Tung Chen, Jacob L. Jaremko, Kiran Vishnu Narayan, Kesavadas C
Learning the Imaging Landmarks: Unsupervised Key point Detection in Lung Ultrasound Videos. CoRR (2021)
Atefeh Shahroudnejad, Roberto Vega, Amir Forouzandeh, Sharanya Balachandran, Jacob L. Jaremko, Michelle Noga, Abhilash Rakkunedeth Hareendranathan, Jeevesh Kapur, Kumaradevan Punithakumar
Thyroid Nodule Segmentation and Classification Using Deep Convolutional Neural Network and Rule-based Classifiers. EMBC (2021)
Banafshe Felfeliyan, Abhilash Rakkunedeth Hareendranathan, Gregor Kuntze, Jacob L. Jaremko, Janet Lenore Ronsky
MRI Knee Domain Translation for Unsupervised Segmentation By CycleGAN (data from Osteoarthritis initiative (OAI)). EMBC (2021)
Rajshree Daulatabad, Roberto Vega, Jacob L. Jaremko, Jeevesh Kapur, Abhilash Rakkunedeth Hareendranathan, Kumaradevan Punithakumar
Integrating User-Input into Deep Convolutional Neural Networks for Thyroid Nodule Segmentation. EMBC (2021)
Roshan P. Mathews, Mahesh Raveendranatha Panicker, Abhilash Rakkunedeth Hareendranathan
vid-SAMGRAH: A PyTorch framework for multi-latent space reinforcement learning driven video summarization in ultrasound imaging. Softw. Impacts 10 (2021)
Roshan P. Mathews, Mahesh Raveendranatha Panicker, Abhilash Rakkunedeth Hareendranathan, Yale Tung Chen, Jacob L. Jaremko, Brian Buchanan, Kiran Vishnu Narayan, Kesavadas C, Greeta Mathews
Unsupervised multi-latent space reinforcement learning framework for video summarization in ultrasound imaging. CoRR (2021)
Fatemeh Abdolali, Atefeh Shahroudnejad, Abhilash Rakkunedeth Hareendranathan, Jacob L. Jaremko, Michelle Noga, Kumaradevan Punithakumar
A systematic review on the role of artificial intelligence in sonographic diagnosis of thyroid cancer: Past, present and future. CoRR (2020)
Fatemeh Abdolali, Jeevesh Kapur, Jacob L. Jaremko, Michelle Noga, Abhilash Rakkunedeth Hareendranathan, Kumaradevan Punithakumar
Automated thyroid nodule detection from ultrasound imaging using deep convolutional neural networks. Comput. Biol. Medicine 122 (2020)
Hakimeh Purmehdi, Abhilash Rakkunedeth Hareendranathan, Michelle Noga, Kumaradevan Punithakumar
Right Ventricular Segmentation from MRI Using Deep Convolutional Neural Networks. EMBC (2019)
Kumaradevan Punithakumar, Andrew Whittle, Marina Choy, Abhilash Rakkunedeth Hareendranathan, Michelle Noga, Pierre Boulanger, Harald Becher
Multiview Three-Dimensional Echocardiography Image Fusion Using a Passive Measurement Arm. EMBC (2018)
Deepa Krishnaswamy, Abhilash Rakkunedeth Hareendranathan, Tan Suwatanaviroj, Pierre Boulanger, Harald Becher, Michelle Noga, Kumaradevan Punithakumar
A Novel 4D Semi-Automated Algorithm for Volumetric Segmentation in Echocardiography. EMBC (2018)
Abhilash Rakkunedeth Hareendranathan, Michelle Noga, Pierre Boulanger, Harald Becher, Kumaradevan Punithakumar
Random Walker Framework for Sensor-Based Echocardiography Fusion. IEEE Access 6 (2018)
Deepa Krishnaswamy, Abhilash Rakkunedeth Hareendranathan, Tan Suwatanaviroj, Harald Becher, Michelle Noga, Kumaradevan Punithakumar
A Semi-Automated Method for Measurement of Left Ventricular Volumes in 3D Echocardiography. IEEE Access 6 (2018)
Abhilash Rakkunedeth Hareendranathan, Dornoosh Zonoobi, Myles Mabee, Chad Diederichs, Kumaradevan Punithakumar, Michelle Noga, Jacob L. Jaremko
Semiautomatic classification of acetabular shape from three-dimensional ultrasound for diagnosis of infant hip dysplasia using geometric features. Int. J. Comput. Assist. Radiol. Surg. 12 (3) (2017)
Abhilash Rakkunedeth Hareendranathan, Dornoosh Zonoobi, Myles Mabee, Dana Cobzas, Kumaradevan Punithakumar, Michelle Noga, Jacob L. Jaremko
Toward automatic diagnosis of hip dysplasia from 2D ultrasound. ISBI (2017)
Abhilash Rakkunedeth Hareendranathan, Myles Mabee, Kumaradevan Punithakumar, Michelle Noga, Jacob L. Jaremko
Toward automated classification of acetabular shape in ultrasound for diagnosis of DDH: Contour alpha angle and the rounding index. Comput. Methods Programs Biomed. 129 (2016)
Kumaradevan Punithakumar, Abhilash Rakkunedeth Hareendranathan, Riitta Paakkanen, Nehan Khan, Michelle Noga, Pierre Boulanger, Harald Becher
Multiview echocardiography fusion using an electromagnetic tracking system. EMBC (2016)
Abhilash Rakkunedeth Hareendranathan, Michelle Hanbidge, Allen He, Michelle Noga, Pierre Boulanger, Harald Becher, Kumaradevan Punithakumar
Patient movement compensation for 3D echocardiography fusion. EMBC (2016)
Abhilash Rakkunedeth Hareendranathan, Myles Mabee, Kumaradevan Punithakumar, Michelle Noga, Jacob L. Jaremko
A technique for semiautomatic segmentation of echogenic structures in 3D ultrasound, applied to infant hip dysplasia. Int. J. Comput. Assist. Radiol. Surg. 11 (1) (2016)
Abhilash Rakkunedeth Hareendranathan, Dornoosh Zonoobi, Myles Mabee, Chad Diederichs, Kumaradevan Punithakumar, Michelle Noga, Jacob L. Jaremko
Hip segmentation from MRI volumes in infants for DDH diagnosis and treatment planning. EMBC (2016)