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Abhilash Rakkunedeth Hareendranathan
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2020 – today
- 2024
- [c19]Banafshe Felfeliyan, Yuyue Zhou, Shrimanti Ghosh, Jessica Küpper, Shaobo Liu, Abhilash Rakkunedeth, Jacob L. Jaremko:
Application of Vision-Language Models for Assessing Osteoarthritis. ISBI 2024: 1-4 - [c18]Shrimanti Ghosh, Banafshe Felfeliyan, Yuyue Zhou, Shaobo Liu, Jessica Knight, Natasha Akhlaq, Jessica Küpper, Abhilash Rakkunedeth Hareendranathan, Jacob L. Jaremko:
Automated Detection of Shoulder Rotator Cuff Tendon Tears from Ultrasound Images by CNN-Autoencoder. ISBI 2024: 1-4 - [i14]Banafshe Felfeliyan, Yuyue Zhou, Shrimanti Ghosh, Jessica Küpper, Shaobo Liu, Abhilash Rakkunedeth Hareendranathan, Jacob L. Jaremko:
Application Of Vision-Language Models For Assessing Osteoarthritis Disease Severity. CoRR abs/2401.06331 (2024) - [i13]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 abs/2402.14300 (2024) - [i12]Assefa Seyoum Wahd, Banafshe Felfeliyan, Yuyue Zhou, Shrimanti Ghosh, Adam McArthur, Jiechen Zhang, Jacob L. Jaremko, Abhilash Rakkunedeth Hareendranathan:
Sam2Rad: A Segmentation Model for Medical Images with Learnable Prompts. CoRR abs/2409.06821 (2024) - 2023
- [j12]Arpan Tripathi
, Mahesh Raveendranatha Panicker
Unsupervised landmark detection and classification of lung infection using transporter neural networks. Comput. Biol. Medicine 152: 106345 (2023) - [j11]Banafshe Felfeliyan
Self-supervised-RCNN for medical image segmentation with limited data annotation. Comput. Medical Imaging Graph. 109: 102297 (2023) - [j10]Roshan P. Mathews
Unsupervised Multi-Latent Space RL Framework for Video Summarization in Ultrasound Imaging. IEEE J. Biomed. Health Informatics 27(1): 227-238 (2023) - [c17]Adithya Sineesh, Manish Rangarajan Shankar, Abhilash Rakkunedeth Hareendranathan, Mahesh Raveendranatha Panicker
Single Image based Super Resolution Ultrasound Imaging Using Residual Learning of Wavelet Features. EMBC 2023: 1-4 - [c16]Yuyue Zhou, Jessica Knight
Self-Supervised Learning to More Efficiently Generate Segmentation Masks for Wrist Ultrasound. ASMUS@MICCAI 2023: 79-88 - [i11]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 abs/2309.09490 (2023) - 2022
- [j9]Abhilash Rakkunedeth Hareendranathan
Domain-aware contrastive learning for ultrasound hip image analysis. Comput. Biol. Medicine 149: 106004 (2022) - [j8]Banafshe Felfeliyan
Improved-Mask R-CNN: Towards an accurate generic MSK MRI instance segmentation platform (data from the Osteoarthritis Initiative). Comput. Medical Imaging Graph. 97: 102056 (2022) - [c15]Yuyue Zhou, Abhilash Rakkunedeth
Wrist Ultrasound Segmentation by Deep Learning. AIME 2022: 230-237 - [c14]Banafshe Felfeliyan, Abhilash Rakkunedeth Hareendranathan
Weakly Supervised Medical Image Segmentation with Soft Labels and Noise Robust Loss. ICPR Workshops (2) 2022: 603-617 - [c13]Roshan P. Mathews
RL Based Unsupervised Video Summarization Framework for Ultrasound Imaging. ASMUS@MICCAI 2022: 23-33 - [i10]Banafshe Felfeliyan
Self-Supervised-RCNN for Medical Image Segmentation with Limited Data Annotation. CoRR abs/2207.11191 (2022) - [i9]Banafshe Felfeliyan
Weakly Supervised Medical Image Segmentation With Soft Labels and Noise Robust Loss. CoRR abs/2209.08172 (2022) - 2021
- [j7]Roshan P. Mathews
vid-SAMGRAH: A PyTorch framework for multi-latent space reinforcement learning driven video summarization in ultrasound imaging. Softw. Impacts 10: 100185 (2021) - [c12]Roberto Vega, Pouneh Gorji, Zichen 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: 739-747 - [c11]Rajshree Daulatabad, Roberto Vega
Integrating User-Input into Deep Convolutional Neural Networks for Thyroid Nodule Segmentation. EMBC 2021: 2637-2640 - [c10]Abhilash Rakkunedeth Hareendranathan, Yungchan Jin, Banafshe Felfeliyan
Automatic Assessment Of Hip Effusion From MRI. EMBC 2021: 3044-3048 - [c9]Atefeh Shahroudnejad, Roberto Vega
Thyroid Nodule Segmentation and Classification Using Deep Convolutional Neural Network and Rule-based Classifiers. EMBC 2021: 3118-3121 - [c8]Banafshe Felfeliyan
MRI Knee Domain Translation for Unsupervised Segmentation By CycleGAN (data from Osteoarthritis initiative (OAI)). EMBC 2021: 4052-4055 - [i8]Roberto Vega, Pouneh Gorji, Zichen 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 abs/2102.06164 (2021) - [i7]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 abs/2106.05929 (2021) - [i6]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 abs/2106.06987 (2021) - [i5]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 abs/2107.12889 (2021) - [i4]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 abs/2109.01132 (2021) - [i3]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 abs/2109.01309 (2021) - [i2]Arpan Tripathi, Abhilash Rakkunedeth, Mahesh Raveendranatha Panicker, Jack Zhang, Naveenjyote Boora, Jessica Knight, Jacob L. Jaremko, Yale Tung Chen, Kiran Vishnu Narayan, Kesavadas C:
Physics Driven Domain Specific Transporter Framework with Attention Mechanism for Ultrasound Imaging. CoRR abs/2109.06346 (2021) - 2020
- [j6]Fatemeh Abdolali, Jeevesh Kapur
Automated thyroid nodule detection from ultrasound imaging using deep convolutional neural networks. Comput. Biol. Medicine 122: 103871 (2020) - [i1]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 abs/2006.05861 (2020)
2010 – 2019
- 2019
- [c7]Hakimeh Purmehdi, Abhilash Rakkunedeth Hareendranathan, Michelle Noga
Right Ventricular Segmentation from MRI Using Deep Convolutional Neural Networks. EMBC 2019: 4020-4023 - 2018
- [j5]Abhilash Rakkunedeth Hareendranathan
Random Walker Framework for Sensor-Based Echocardiography Fusion. IEEE Access 6: 8519-8525 (2018) - [j4]Deepa Krishnaswamy
A Semi-Automated Method for Measurement of Left Ventricular Volumes in 3D Echocardiography. IEEE Access 6: 16336-16344 (2018) - [c6]Kumaradevan Punithakumar
Multiview Three-Dimensional Echocardiography Image Fusion Using a Passive Measurement Arm. EMBC 2018: 903-906 - [c5]Deepa Krishnaswamy
A Novel 4D Semi-Automated Algorithm for Volumetric Segmentation in Echocardiography. EMBC 2018: 1119-1122 - 2017
- [j3]Abhilash Rakkunedeth Hareendranathan, Dornoosh Zonoobi, Myles Mabee, Chad Diederichs, Kumaradevan Punithakumar
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): 439-447 (2017) - [c4]Abhilash Rakkunedeth Hareendranathan, Dornoosh Zonoobi, Myles Mabee, Dana Cobzas, Kumaradevan Punithakumar
Toward automatic diagnosis of hip dysplasia from 2D ultrasound. ISBI 2017: 982-985 - 2016
- [j2]Abhilash Rakkunedeth Hareendranathan, Myles Mabee, Kumaradevan Punithakumar
A technique for semiautomatic segmentation of echogenic structures in 3D ultrasound, applied to infant hip dysplasia. Int. J. Comput. Assist. Radiol. Surg. 11(1): 31-42 (2016) - [j1]Abhilash Rakkunedeth Hareendranathan, Myles Mabee, Kumaradevan Punithakumar
Toward automated classification of acetabular shape in ultrasound for diagnosis of DDH: Contour alpha angle and the rounding index. Comput. Methods Programs Biomed. 129: 89-98 (2016) - [c3]Abhilash Rakkunedeth Hareendranathan, Dornoosh Zonoobi, Myles Mabee, Chad Diederichs, Kumaradevan Punithakumar
Hip segmentation from MRI volumes in infants for DDH diagnosis and treatment planning. EMBC 2016: 1046-1049 - [c2]Kumaradevan Punithakumar
Multiview echocardiography fusion using an electromagnetic tracking system. EMBC 2016: 1078-1081 - [c1]Abhilash Rakkunedeth Hareendranathan, Michelle Hanbidge, Allen He, Michelle Noga, Pierre Boulanger, Harald Becher, Kumaradevan Punithakumar
Patient movement compensation for 3D echocardiography fusion. EMBC 2016: 1091-1094
Coauthor Index
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