Diagnostic Accuracy of 3D Ultrasound and Artificial Intelligence for Detection of Pediatric Wrist Injuries von Zhang, Jack, Boora, Naveenjyote, Melendez, Sarah, Rakkunedeth Hareendranathan, Abhilash, Jaremko, Jacob

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Assessment of an Artificial Intelligence Tool for Estimating Left Ventricular Ejection Fraction in Echocardiograms from Apical and Parasternal Long-Axis Views von Vega, Roberto, Kwok, Cherise, Rakkunedeth Hareendranathan, Abhilash, Nagdev, Arun, Jaremko, Jacob L

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Unsupervised landmark detection and classification of lung infection using transporter neural networks von Tripathi, Arpan, Panicker, Mahesh Raveendranatha, Rakkunedeth Hareendranathan, Abhilash, Jaremko, Jacob, Chen, Yale Tung, Narayan, Kiran Vishnu, C., Kesavadas

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2D/3D ultrasound diagnosis of pediatric distal radius fractures by human readers vs artificial intelligence von Knight, Jessica, Zhou, Yuyue, Keen, Christopher, Hareendranathan, Abhilash Rakkunedeth, Alves-Pereira, Fatima, Ghasseminia, Siyavesh, Wichuk, Stephanie, Brilz, Alan, Kirschner, David, Jaremko, Jacob

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Automated diagnosis of hip dysplasia from 3D ultrasound using artificial intelligence: A two-center multi-year study von Ghasseminia, Siyavash, Seyed Bolouri, Seyed Ehsan, Dulai, Sukhdeep, Kernick, Sara, Brockley, Cain, Rakkunedeth Hareendranathan, Abhilash, Zonoobi, Dornoosh, Rao, Padma, Jaremko, Jacob L.

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A Systematic Review on the Role of Artificial Intelligence in Sonographic Diagnosis of Thyroid Cancer: Past, Present and Future von Abdolali, Fatemeh, Shahroudnejad, Atefeh, Amiri, Sepideh, Rakkunedeth Hareendranathan, Abhilash, Jaremko, Jacob L, Noga, Michelle, Punithakumar, Kumaradevan

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Domain-aware contrastive learning for ultrasound hip image analysis von Hareendranathan, Abhilash Rakkunedeth, Tripathi, Arpan, Panicker, Mahesh Raveendranatha, Zhou, Yuyue, Knight, Jessica, Jaremko, Jacob L.

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Narrative Review on the Role of Imaging in DDH von Ghasseminia, Siyavash, Hareendranathan, Abhilash Rakkunedeth, Jaremko, Jacob L.

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Toward Automated Classification of Acetabular Shape in Ultrasound for Diagnosis of DDH: Contour Alpha Angle and the Rounding Index von Hareendranathan, Abhilash Rakkunedeth, Mabee, Myles, Punithakumar, Kumaradevan, Noga, Michelle, Jaremko, Jacob L

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Deep Learning Approach for Automatic Wrist Fracture Detection Using Ultrasound Bone Probability Maps von Hareendranathan, Abhilash Rakkunedeth, Tripathi, Arpan, Panicker, Mahesh Raveendranatha, Zhang, Jack, Boora, Naveenjyote, Jaremko, Jacob

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A technique for semiautomatic segmentation of echogenic structures in 3D ultrasound, applied to infant hip dysplasia von Hareendranathan, Abhilash Rakkunedeth, Mabee, Myles, Punithakumar, Kumaradevan, Noga, Michelle, Jaremko, Jacob L.

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An index for diagnosing infant hip dysplasia using 3-D ultrasound: the acetabular contact angle von Mabee, Myles G., Hareendranathan, Abhilash Rakkunedeth, Thompson, Richard B., Dulai, Sukhdeep, Jaremko, Jacob L.

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Semiautomatic classification of acetabular shape from three-dimensional ultrasound for diagnosis of infant hip dysplasia using geometric features von Hareendranathan, Abhilash Rakkunedeth, Zonoobi, Dornoosh, Mabee, Myles, Diederichs, Chad, Punithakumar, Kumaradevan, Noga, Michelle, Jaremko, Jacob L.

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Self-Supervised Learning to More Efficiently Generate Segmentation Masks for Wrist Ultrasound von Zhou, Yuyue, Knight, Jessica, Felfeliyan, Banafshe, Ghosh, Shrimanti, Alves-Pereira, Fatima, Keen, Christopher, Hareendranathan, Abhilash Rakkunedeth, Jaremko, Jacob L.

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Self-supervised TransUNet for Ultrasound regional segmentation of the distal radius in children von Zhou, Yuyue, Knight, Jessica, Felfeliyan, Banafshe, Keen, Christopher, Hareendranathan, Abhilash Rakkunedeth, Jaremko, Jacob L

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A Simple Framework Uniting Visual In-context Learning with Masked Image Modeling to Improve Ultrasound Segmentation von Zhou, Yuyue, Felfeliyan, Banafshe, Ghosh, Shrimanti, Knight, Jessica, Alves-Pereira, Fatima, Keen, Christopher, Küpper, Jessica, Hareendranathan, Abhilash Rakkunedeth, Jaremko, Jacob L

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A systematic review on the role of artificial intelligence in sonographic diagnosis of thyroid cancer: Past, present and future von Abdolali, Fatemeh, Shahroudnejad, Atefeh, Hareendranathan, Abhilash Rakkunedeth, Jaremko, Jacob L, Noga, Michelle, Punithakumar, Kumaradevan

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Sample Efficient Learning of Image-Based Diagnostic Classifiers Using Probabilistic Labels von Vega, Roberto, Gorji, Pouneh, Zhang, Zichen, Qin, Xuebin, Hareendranathan, Abhilash Rakkunedeth, Kapur, Jeevesh, Jaremko, Jacob L, Greiner, Russell

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Self-supervised TransUNet for Ultrasound regional segmentation of the distal radius in children von Zhou, Yuyue, Knight, Jessica, Felfeliyan, Banafshe, Keen, Christopher, Hareendranathan, Abhilash Rakkunedeth, Jaremko, Jacob L

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A Simple Framework Uniting Visual In-context Learning with Masked Image Modeling to Improve Ultrasound Segmentation von Zhou, Yuyue, Felfeliyan, Banafshe, Ghosh, Shrimanti, Knight, Jessica, Alves-Pereira, Fatima, Keen, Christopher, Küpper, Jessica, Hareendranathan, Abhilash Rakkunedeth, Jaremko, Jacob L

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