Non-invasive diagnosis of non-alcoholic fatty liver disease (NAFLD) using ultrasound image echogenicity. - Alex Benjamin; Rebecca Zubajlo; Kai Thomenius; Manish Dhyani; Kanakaraju Kaliannan; Anthony E. Samir; Brian W. Anthony (EMBC, 2017)

Objective Liver Fibrosis Estimation from Shear Wave Elastography. - Laura J. Brattain; Brian A. Telfer; Manish Dhyani; Joseph R. Grajo; Anthony E. Samir (EMBC, 2018)

Contrast-Enhanced Ultrasound to Quantifyc Perfusion in a Machine-Perfused Pig Liver. - Melinda Chen; Qian Li 032; Negin Karimian; Heidi Yeh; Yu Duan; Fermin Fontan; Mohamed M. Aburawi; Brian W. Anthony; Korkut Uygun; Anthony E. Samir (EMBC, 2018)

Deep Learning-Based Automatic Endometrium Segmentation and Thickness Measurement for 2D Transvaginal Ultrasound. - Szu-Yeu Hu; Hong Xu; Qian Li 032; Brian A. Telfer; Laura J. Brattain; Anthony E. Samir (EMBC, 2019)

Self-Supervised Pretraining with DICOM metadata in Ultrasound Imaging. - Szu-Yeu Hu; Shuhang Wang; Wei-Hung Weng; Jingchao Wang; Xiaohong Wang; Arinc Ozturk; Quan Li; Viksit Kumar; Anthony E. Samir (MLHC, 2020)

Weakly Supervised Context Encoder using DICOM metadata in Ultrasound Imaging. - Szu-Yeu Hu; Shuhang Wang; Wei-Hung Weng; Jingchao Wang; Xiaohong Wang; Arinc Ozturk; Qian Li 032; Viksit Kumar; Anthony E. Samir (CoRR, 2020)

U-Net Using Stacked Dilated Convolutions for Medical Image Segmentation. - Shuhang Wang; Szu-Yeu Hu; Eugene Cheah; Xiaohong Wang; Jingchao Wang; Lei Chen; Masoud Baikpour; Arinc Ozturk; Qian Li 032; Shinn-Huey Chou; Constance D. Lehman; Viksit Kumar; et al. (CoRR, 2020)

Efficient Binary Cnn For Medical Image Segmentation. - Kaustav Brahma; Viksit Kumar; Anthony E. Samir; Anantha P. Chandrakasan; Yonina C. Eldar (ISBI, 2021)

Network-Agnostic Knowledge Transfer for Medical Image Segmentation. - Shuhang Wang; Vivek Kumar Singh 008; Alex Benjamin; Mercy Asiedu; Elham Yousef Kalafi; Eugene Cheah; Viksit Kumar; Anthony E. Samir (CoRR, 2021)

Stacked dilated convolutions and asymmetric architecture for U-Net-based medical image segmentation. - Shuhang Wang; Vivek Kumar Singh 008; Eugene Cheah; Xiaohong Wang; Qian Li 032; Shinn-Huey Chou; Constance D. Lehman; Viksit Kumar; Anthony E. Samir (Comput. Biol. Medicine, 2022)

Prior wavelet knowledge for multi-modal medical image segmentation using a lightweight neural network with attention guided features. - Vivek Kumar Singh 008; Elham Yousef Kalafi; Shuhang Wang; Alex Benjamin; Mercy Nyamewaa Asiedu; Viksit Kumar; Anthony E. Samir (Expert Syst. Appl., 2022)

Liver Segmentation in Ultrasound Images Using Self-Supervised Learning with Physics-inspired Augmentation and Global-Local Refinement. - Abder-Rahman Ali; Peng Guo; Anthony E. Samir (Canadian AI, 2023)

Self-Supervised Learning for Accurate Liver View Classification in Ultrasound Images with Minimal Labeled Data. - Abder-Rahman Ali; Anthony E. Samir; Peng Guo (CVPR Workshops, 2023)

Individualized Ultrasound-Guided Intervention Phantom Development, Fabrication, and Proof of Concept. - Theodore T. Pierce; Mark P. Ottensmeyer; Avik Som; Laura J. Brattain; Joshua S. Werblin; Patrick D. Sutphin; Scott J. Schoen; Matthew R. Johnson 005; Lars Gjesteby; Brian A. Telfer; Anthony E. Samir (EMBC, 2023)

Gamified Crowdsourcing as a Novel Approach to Lung Ultrasound Dataset Labeling. - Nicole M. Duggan; Mike Jin; Maria Alejandra Duran Mendicuti; Stephen Hallisey; Denie Bernier; Lauren A. Selame; Ameneh Asgari-Targhi; Chanel E. Fischetti; Ruben T. Lucassen; Anthony E. Samir; Erik P. Duhaime; Tina Kapur; et al. (CoRR, 2023)

Abdominal Ultrasound Similarity Analysis for Quantitative Longitudinal Liver Fibrosis Staging. - Eung-Joo Lee; Vivek Kumar Singh 008; Elham Yousef Kalafi; Peng Guo; Arinc Ozturk; Theodore T. Pierce; Brian A. Telfer; Anthony E. Samir; Laura J. Brattain (CLIP@MICCAI, 2024)

Machine Learning Models for Point-of-care Ultrasound Education and Training: National Cost Savings and Expert Time Reduction. - Lachlan Driver; Nicole M. Duggan; Chares Brower; Mahdi Ebnali; Da'Marcus Baymon; Alexei Wagner; Roger D. Dias; Anthony E. Samir; Tina Kapur; Andrew J. Goldsmith; Christopher W. Baugh (HICSS, 2024)

Expert-quality Dataset Labeling via Gamified Crowdsourcing on Point-of-Care Lung Ultrasound Data. - Nicole M. Duggan; Mike Jin; Erik P. Duhaime; Tina Kapur; Maria Alejandra Duran Mendicuti; Stephen Hallisey; Denie Bernier; Lauren A. Selame; Ameneh Asgari-Targhi; Chanel E. Fischetti; Ruben T. Lucassen; Anthony E. Samir (HICSS, 2024)

Simple is More: Efficient Liver View Classification in Ultrasound Images Using Minimal Labeled Data and Simple Neural Network Architecture. - Abder-Rahman Ali; Anthony E. Samir (DEMI@MICCAI, 2024)

Unsupervised Physics-Inspired Shear Wave Speed Estimation in Ultrasound Elastography. - Ali Kafaei Zad Tehrani; E. G. Sunethra Dayavansha; Yuyang Gu; Ion Candel; Michael Wang; Rimon Tadross; Yiming Xiao; Hassan Rivaz; Kai Thomenius; Anthony E. Samir (ASMUS@MICCAI, 2024)

Zero shot health trajectory prediction using transformer. - Pawel Renc; Yugang Jia; Anthony E. Samir; Jaroslaw Was; Quanzheng Li; David W. Bates; Arkadiusz Sitek (npj Digit. Medicine, 2024)

ULTRA-SR Challenge: Assessment of Ultrasound Localization and TRacking Algorithms for Super-Resolution Imaging. - Marcelo Lerendegui; Kai Riemer; Georgios Papageorgiou 001; Bingxue Wang; Lachlan Arthur; Arthur Chavignon; Tao Zhang; Olivier Couture; Pingtong Huang; Md Ashikuzzaman; Stefanie Dencks; Christopher Dunsby; et al. (IEEE Trans. Medical Imaging, 2024)

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation. - Pawel Renc; Michal K. Grzeszczyk; Nassim Oufattole; Deirdre Goode; Yugang Jia; Szymon Bieganski; Matthew B. A. McDermott; Jaroslaw Was; Anthony E. Samir; Jonathan W. Cunningham; David W. Bates; Arkadiusz Sitek (CoRR, 2025)