Hip segmentation from MRI volumes in infants for DDH diagnosis and treatment planning. - Abhilash Rakkunedeth Hareendranathan; Dornoosh Zonoobi; Myles Mabee; Chad Diederichs; Kumaradevan Punithakumar; Michelle Noga; Jacob L. Jaremko (EMBC, 2016)

Dynamic MRI reconstruction using low rank plus sparse tensor decomposition. - Shahrooz Faghih Roohi; Dornoosh Zonoobi; Ashraf A. Kassim; Jacob L. Jaremko (ICIP, 2016)

Fully Automating Graf's Method for DDH Diagnosis Using Deep Convolutional Neural Networks. - David Golan; Yoni Donner; Chris Mansi; Jacob L. Jaremko; Manoj Ramachandran (LABELS/DLMIA@MICCAI, 2016)

A technique for semiautomatic segmentation of echogenic structures in 3D ultrasound, applied to infant hip dysplasia. - Abhilash Rakkunedeth Hareendranathan; Myles Mabee; Kumaradevan Punithakumar; Michelle Noga; Jacob L. Jaremko (Int. J. Comput. Assist. Radiol. Surg., 2016)

Toward automated classification of acetabular shape in ultrasound for diagnosis of DDH: Contour alpha angle and the rounding index. - Abhilash Rakkunedeth Hareendranathan; Myles Mabee; Kumaradevan Punithakumar; Michelle Noga; Jacob L. Jaremko (Comput. Methods Programs Biomed., 2016)

Toward automatic diagnosis of hip dysplasia from 2D ultrasound. - Abhilash Rakkunedeth Hareendranathan; Dornoosh Zonoobi; Myles Mabee; Dana Cobzas; Kumaradevan Punithakumar; Michelle Noga; Jacob L. Jaremko (ISBI, 2017)

Semiautomatic classification of acetabular shape from three-dimensional ultrasound for diagnosis of infant hip dysplasia using geometric features. - Abhilash Rakkunedeth Hareendranathan; Dornoosh Zonoobi; Myles Mabee; Chad Diederichs; Kumaradevan Punithakumar; Michelle Noga; Jacob L. Jaremko (Int. J. Comput. Assist. Radiol. Surg., 2017)

Multi-dimensional low rank plus sparse decomposition for reconstruction of under-sampled dynamic MRI. - Shahrooz Faghih Roohi; Dornoosh Zonoobi; Ashraf A. Kassim; Jacob L. Jaremko (Pattern Recognit., 2017)

Dependent nonparametric bayesian group dictionary learning for online reconstruction of dynamic MR images. - Dornoosh Zonoobi; Shahrooz Faghih Roohi; Ashraf A. Kassim; Jacob L. Jaremko (Pattern Recognit., 2017)

(Semi)automatic construction of access-controlled web data services. - Kalvin Eng; Diego Serrano; Eleni Stroulia; Jacob L. Jaremko (CASCON, 2018)

Segmentation-by-detection: A cascade network for volumetric medical image segmentation. - Min Tang; Zichen Zhang 001; Dana Cobzas; Martin Jägersand; Jacob L. Jaremko (ISBI, 2018)

End-to-end detection-segmentation network with ROI convolution. - Zichen Zhang 001; Min Tang; Dana Cobzas; Dornoosh Zonoobi; Martin Jägersand; Jacob L. Jaremko (ISBI, 2018)

Virtual reconstruction of unilateral pelvic fractures by using pelvic symmetry. - Maha S. Ead; Lindsey Westover; Samantha Polege; Sarah McClelland; Jacob L. Jaremko; Kajsa K. Duke (Int. J. Comput. Assist. Radiol. Surg., 2020)

Automated thyroid nodule detection from ultrasound imaging using deep convolutional neural networks. - Fatemeh Abdolali; Jeevesh Kapur; Jacob L. Jaremko; Michelle Noga; Abhilash Rakkunedeth Hareendranathan; Kumaradevan Punithakumar (Comput. Biol. Medicine, 2020)

A systematic review on the role of artificial intelligence in sonographic diagnosis of thyroid cancer: Past, present and future. - Fatemeh Abdolali; Atefeh Shahroudnejad; Abhilash Rakkunedeth Hareendranathan; Jacob L. Jaremko; Michelle Noga; Kumaradevan Punithakumar (CoRR, 2020)

Investigation of pelvic symmetry using CAD software. - Maha S. Ead; Kajsa K. Duke; Jacob L. Jaremko; Lindsey Westover (Medical Biol. Eng. Comput., 2020)

Analysis of four methods of measuring three-dimensional pelvic tilt in the lateral decubitus position. - Meredith Stadnyk; Tao Liu 041; Fatemeh Fallahi Arezodar; Lindsey Westover; Jaime A. Carvajal Alba; Edward Masson; Lauren Beaupre; Jacob L. Jaremko; Marwan El-Rich (Medical Biol. Eng. Comput., 2020)

Sample efficient learning of image-based diagnostic classifiers via probabilistic labels. - Roberto Vega; Pouneh Gorji; Zichen Zhang 001; Xuebin Qin; Abhilash Rakkunedeth Hareendranathan; Jeevesh Kapur; Jacob L. Jaremko; Russell Greiner (AISTATS, 2021)

Integrating User-Input into Deep Convolutional Neural Networks for Thyroid Nodule Segmentation. - Rajshree Daulatabad; Roberto Vega; Jacob L. Jaremko; Jeevesh Kapur; Abhilash Rakkunedeth Hareendranathan; Kumaradevan Punithakumar (EMBC, 2021)

MRI Knee Domain Translation for Unsupervised Segmentation By CycleGAN (data from Osteoarthritis initiative (OAI)). - Banafshe Felfeliyan; Abhilash Rakkunedeth Hareendranathan; Gregor Kuntze; Jacob L. Jaremko; Janet Lenore Ronsky (EMBC, 2021)

Automatic Assessment Of Hip Effusion From MRI. - Abhilash Rakkunedeth Hareendranathan; Yungchan Jin; Banafshe Felfeliyan; Janet Lenore Ronsky; Bashiar Thejeel; Vanessa Quinn-Laurin; Jacob L. Jaremko (EMBC, 2021)

Thyroid Nodule Segmentation and Classification Using Deep Convolutional Neural Network and Rule-based Classifiers. - Atefeh Shahroudnejad; Roberto Vega; Amir Forouzandeh; Sharanya Balachandran; Jacob L. Jaremko; Michelle Noga; Abhilash Rakkunedeth Hareendranathan; Jeevesh Kapur; Kumaradevan Punithakumar (EMBC, 2021)

TUN-Det: A Novel Network for Thyroid Ultrasound Nodule Detection. - Atefeh Shahroudnejad; Xuebin Qin; Sharanya Balachandran; Masood Dehghan; Dornoosh Zonoobi; Jacob L. Jaremko; Jeevesh Kapur; Martin Jägersand; Michelle Noga; Kumaradevan Punithakumar (MICCAI (1), 2021)

Sample Efficient Learning of Image-Based Diagnostic Classifiers Using Probabilistic Labels. - Roberto Vega; Pouneh Gorji; Zichen Zhang 001; Xuebin Qin; Abhilash Rakkunedeth Hareendranathan; Jeevesh Kapur; Jacob L. Jaremko; Russell Greiner (CoRR, 2021)

Domain Specific Transporter Framework to Detect Fractures in Ultrasound. - Arpan Tripathi; Abhilash Rakkunedeth Hareendranathan; Mahesh Raveendranatha Panicker; Jack Zhang; Naveenjyote Boora; Jacob L. Jaremko (CoRR, 2021)

Learning the Imaging Landmarks: Unsupervised Key point Detection in Lung Ultrasound Videos. - Arpan Tripathi; Mahesh Raveendranatha Panicker; Abhilash Rakkunedeth Hareendranathan; Yale Tung Chen; Jacob L. Jaremko; Kiran Vishnu Narayan; Kesavadas C (CoRR, 2021)

Unsupervised multi-latent space reinforcement learning framework for video summarization in ultrasound imaging. - Roshan P. Mathews; Mahesh Raveendranatha Panicker; Abhilash Rakkunedeth Hareendranathan; Yale Tung Chen; Jacob L. Jaremko; Brian Buchanan; Kiran Vishnu Narayan; Kesavadas C; Greeta Mathews (CoRR, 2021)

Physics Driven Domain Specific Transporter Framework with Attention Mechanism for Ultrasound Imaging. - Arpan Tripathi; Abhilash Rakkunedeth; Mahesh Raveendranatha Panicker; Jack Zhang; Naveenjyote Boora; Jessica Knight; Jacob L. Jaremko; Yale Tung Chen; Kiran Vishnu Narayan; Kesavadas C (CoRR, 2021)

Quantitative analysis of regional specific pelvic symmetry. - David Xinzheyang Li; Maha S. Ead; Kajsa K. Duke; Jacob L. Jaremko; Lindsey Westover (Medical Biol. Eng. Comput., 2021)

Wrist Ultrasound Segmentation by Deep Learning. - Yuyue Zhou; Abhilash Rakkunedeth; Christopher Keen; Jessica Knight; Jacob L. Jaremko (AIME, 2022)

Weakly Supervised Medical Image Segmentation with Soft Labels and Noise Robust Loss. - Banafshe Felfeliyan; Abhilash Rakkunedeth Hareendranathan; Gregor Kuntze; Stephanie Wichuk; Nils D. Forkert; Jacob L. Jaremko; Janet Lenore Ronsky (ICPR Workshops (2), 2022)

RL Based Unsupervised Video Summarization Framework for Ultrasound Imaging. - Roshan P. Mathews; Mahesh Raveendranatha Panicker; Abhilash Rakkunedeth Hareendranathan; Yale Tung Chen; Jacob L. Jaremko; Brian Buchanan; Kiran Vishnu Narayan; Kesavadas Chandrasekharan; Greeta Mathews (ASMUS@MICCAI, 2022)

Domain-aware contrastive learning for ultrasound hip image analysis. - Abhilash Rakkunedeth Hareendranathan; Arpan Tripathi; Mahesh Raveendranatha Panicker; Yuyue Zhou; Jessica Knight; Jacob L. Jaremko (Comput. Biol. Medicine, 2022)

Improved-Mask R-CNN: Towards an accurate generic MSK MRI instance segmentation platform (data from the Osteoarthritis Initiative). - Banafshe Felfeliyan; Abhilash Rakkunedeth; Gregor Kuntze; Jacob L. Jaremko; Janet Lenore Ronsky (Comput. Medical Imaging Graph., 2022)

Self-Supervised-RCNN for Medical Image Segmentation with Limited Data Annotation. - Banafshe Felfeliyan; Abhilash Rakkunedeth Hareendranathan; Gregor Kuntze; David Cornell; Nils D. Forkert; Jacob L. Jaremko; Janet Lenore Ronsky (CoRR, 2022)

Self-Supervised Learning to More Efficiently Generate Segmentation Masks for Wrist Ultrasound. - Yuyue Zhou; Jessica Knight; Banafshe Felfeliyan; Shrimanti Ghosh; Fatima Alves-Pereira; Christopher Keen; Abhilash Rakkunedeth Hareendranathan; Jacob L. Jaremko (ASMUS@MICCAI, 2023)

Unsupervised landmark detection and classification of lung infection using transporter neural networks. - Arpan Tripathi; Mahesh Raveendranatha Panicker; Abhilash Rakkunedeth Hareendranathan; Jacob L. Jaremko; Yale Tung Chen; Kiran Vishnu Narayan; C. Kesavadas (Comput. Biol. Medicine, 2023)

Self-supervised TransUNet for Ultrasound regional segmentation of the distal radius in children. - Yuyue Zhou; Jessica Knight; Banafshe Felfeliyan; Christopher Keen; Abhilash Rakkunedeth Hareendranathan; Jacob L. Jaremko (CoRR, 2023)

Unsupervised Multi-Latent Space RL Framework for Video Summarization in Ultrasound Imaging. - Roshan P. Mathews; Mahesh Raveendranatha Panicker; Abhilash Rakkunedeth Hareendranathan; Yale Tung Chen; Jacob L. Jaremko; Brian Buchanan; Kiran Vishnu Narayan; Chandrasekharan Kesavadas; Greeta Mathews (IEEE J. Biomed. Health Informatics, 2023)

ACU2E-Net: A novel predict-refine attention network for segmentation of soft-tissue structures in ultrasound images. - Sharanya Balachandran; Xuebin Qin; Chen Jiang; Ehsan Seyed Blouri; Amir Forouzandeh; Masood Dehghan; Dornoosh Zonoobi; Jeevesh Kapur; Jacob L. Jaremko; Kumaradevan Punithakumar (Comput. Biol. Medicine, 2023)

Self-supervised-RCNN for medical image segmentation with limited data annotation. - Banafshe Felfeliyan; Nils D. Forkert; Abhilash Rakkunedeth Hareendranathan; David Cornel; Yuyue Zhou; Gregor Kuntze; Jacob L. Jaremko; Janet Lenore Ronsky (Comput. Medical Imaging Graph., 2023)

Ultrasound for Automated Classification of Full-Thickness Rotator Cuff Tendon Tears using Deep Learning. - Shrimanti Ghosh; Banafshe Felfeliyan; Yuyue Zhou; Jessica Knight; Natasha Akhlaq; Jessica Küpper; Abhilash Rakkunedeth Hareendranathan; Jacob L. Jaremko (EMBC, 2024)

Domain Specific Transporter Framework to Detect Fractures in Ultrasound. - Arpan Tripathi; Mahesh Raveendranatha Panicker; Jack Zhang; Naveenjyote Boora; Jacob L. Jaremko; Abhilash Rakkunedelh (EMBC, 2024)

Semantic AutoSAM: Self-Prompting Segment Anything Model for Semantic Segmentation of Medical Images. - Assefa Seyoum Wahd; Jessica Küpper; Jacob L. Jaremko; Abhilash Rakkunedeth Hareendranathan (EMBC, 2024)

SimICL: A Simple Visual In-context Learning Framework for Ultrasound Segmentation. - Yuyue Zhou; Banafshe Felfeliyan; Shrimanti Ghosh; Jessica Knight; Fatima Alves-Pereira; Christopher Keen; Jessica Küpper; Abhilash Rakkunedeth Hareendranathan; Jacob L. Jaremko (EMBC, 2024)

Application of Vision-Language Models for Assessing Osteoarthritis. - Banafshe Felfeliyan; Yuyue Zhou; Shrimanti Ghosh; Jessica Küpper; Shaobo Liu; Abhilash Rakkunedeth; Jacob L. Jaremko (ISBI, 2024)

Automated Detection of Shoulder Rotator Cuff Tendon Tears from Ultrasound Images by CNN-Autoencoder. - Shrimanti Ghosh; Banafshe Felfeliyan; Yuyue Zhou; Shaobo Liu; Jessica Knight; Natasha Akhlaq; Jessica Küpper; Abhilash Rakkunedeth Hareendranathan; Jacob L. Jaremko (ISBI, 2024)

Application Of Vision-Language Models For Assessing Osteoarthritis Disease Severity. - Banafshe Felfeliyan; Yuyue Zhou; Shrimanti Ghosh; Jessica Küpper; Shaobo Liu; Abhilash Rakkunedeth Hareendranathan; Jacob L. Jaremko (CoRR, 2024)

A Simple Framework Uniting Visual In-context Learning with Masked Image Modeling to Improve Ultrasound Segmentation. - Yuyue Zhou; Banafshe Felfeliyan; Shrimanti Ghosh; Jessica Knight; Fatima Alves-Pereira; Christopher Keen; Jessica Küpper; Abhilash Rakkunedeth Hareendranathan; Jacob L. Jaremko (CoRR, 2024)

Shoulder Rotator Cuff Tear Detection from Ultrasound Videos Using Deep Reinforcement Learning. - Shrimanti Ghosh; Geetika Vadali; Ayush Singh; Yuyue Zhou; Banafshe Felfeliyan; Assefa Seyoum Wahd; Jessica Knight; Mahesh R. Panicker; Jacob L. Jaremko; Abhilash Rakkunedeth Hareendranathan (ISBI, 2025)

Sam2Rad: A segmentation model for medical images with learnable prompts. - Assefa Seyoum Wahd; Banafshe Felfeliyan; Yuyue Zhou; Shrimanti Ghosh; Adam McArthur; Jiechen Zhang; Jacob L. Jaremko; Abhilash Rakkunedeth (Comput. Biol. Medicine, 2025)

Overcoming barriers in the use of artificial intelligence in point of care ultrasound. - Roberto Vega; Masood Dehghan; Arun Nagdev; Brian Buchanan; Jeevesh Kapur; Jacob L. Jaremko; Dornoosh Zonoobi (npj Digit. Medicine, 2025)

Retuve: Automated Multi-Modality Analysis of Hip Dysplasia with Open Source AI. - Adam McArthur; Stephanie Wichuk; Stephen Burnside; Andrew Kirby; Alexander Scammon; Damian Sol; Abhilash Rakkunedeth; Jacob L. Jaremko (CoRR, 2025)

Time-Contrastive Pretraining for In-Context Image and Video Segmentation. - Assefa Seyoum Wahd; Jacob L. Jaremko; Abhilash Rakkunedeth Hareendranathan (CoRR, 2025)