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Anthony E. Samir
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2020 – today
- 2024
- [j4]Pawel Renc
, Yugang Jia
Zero shot health trajectory prediction using transformer. npj Digit. Medicine 7(1) (2024) - [j3]Marcelo Lerendegui
ULTRA-SR Challenge: Assessment of Ultrasound Localization and TRacking Algorithms for Super-Resolution Imaging. IEEE Trans. Medical Imaging 43(8): 2970-2987 (2024) - [c13]Eung-Joo Lee, Vivek Kumar Singh, Elham Yousef Kalafi, Peng Guo, Arinc Ozturk, Theodore T. Pierce, Brian A. Telfer, Anthony E. Samir, Laura J. Brattain:
Abdominal Ultrasound Similarity Analysis for Quantitative Longitudinal Liver Fibrosis Staging. CLIP@MICCAI 2024: 73-82 - [c12]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:
Expert-quality Dataset Labeling via Gamified Crowdsourcing on Point-of-Care Lung Ultrasound Data. HICSS 2024: 3891-3897 - [c11]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:
Machine Learning Models for Point-of-care Ultrasound Education and Training: National Cost Savings and Expert Time Reduction. HICSS 2024: 3915-3924 - [c10]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:
Unsupervised Physics-Inspired Shear Wave Speed Estimation in Ultrasound Elastography. ASMUS@MICCAI 2024: 3-13 - [i5]Pawel Renc, Yugang Jia, Anthony E. Samir, Jaroslaw Was, Quanzheng Li, David W. Bates, Arkadiusz Sitek:
Zero Shot Health Trajectory Prediction Using Transformer. CoRR abs/2407.21124 (2024) - 2023
- [c9]Abder-Rahman Ali, Peng Guo, Anthony E. Samir:
Liver Segmentation in Ultrasound Images Using Self-Supervised Learning with Physics-inspired Augmentation and Global-Local Refinement. Canadian AI 2023 - [c8]Abder-Rahman Ali, Anthony E. Samir, Peng Guo:
Self-Supervised Learning for Accurate Liver View Classification in Ultrasound Images with Minimal Labeled Data. CVPR Workshops 2023: 3087-3093 - [c7]Theodore T. Pierce, Mark P. Ottensmeyer, Avik Som, Laura J. Brattain, Joshua S. Werblin, Patrick D. Sutphin, Scott J. Schoen, Matthew R. Johnson, Lars Gjesteby, Brian A. Telfer, Anthony E. Samir:
Individualized Ultrasound-Guided Intervention Phantom Development, Fabrication, and Proof of Concept. EMBC 2023: 1-4 - [i4]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, Andrew J. Goldsmith:
Gamified Crowdsourcing as a Novel Approach to Lung Ultrasound Dataset Labeling. CoRR abs/2306.06773 (2023) - 2022
- [j2]Shuhang Wang
Stacked dilated convolutions and asymmetric architecture for U-Net-based medical image segmentation. Comput. Biol. Medicine 148: 105891 (2022) - [j1]Vivek Kumar Singh
Prior wavelet knowledge for multi-modal medical image segmentation using a lightweight neural network with attention guided features. Expert Syst. Appl. 209: 118166 (2022) - 2021
- [c6]Kaustav Brahma, Viksit Kumar, Anthony E. Samir, Anantha P. Chandrakasan, Yonina C. Eldar:
Efficient Binary Cnn For Medical Image Segmentation. ISBI 2021: 817-821 - [i3]Shuhang Wang, Vivek Kumar Singh, Alex Benjamin, Mercy Asiedu, Elham Yousef Kalafi, Eugene Cheah, Viksit Kumar, Anthony E. Samir:
Network-Agnostic Knowledge Transfer for Medical Image Segmentation. CoRR abs/2101.09560 (2021) - 2020
- [c5]Szu-Yeu Hu, Shuhang Wang, Wei-Hung Weng, Jingchao Wang, Xiaohong Wang, Arinc Ozturk, Quan Li, Viksit Kumar, Anthony E. Samir:
Self-Supervised Pretraining with DICOM metadata in Ultrasound Imaging. MLHC 2020: 732-749 - [i2]Szu-Yeu Hu, Shuhang Wang, Wei-Hung Weng, Jingchao Wang, Xiaohong Wang, Arinc Ozturk
Weakly Supervised Context Encoder using DICOM metadata in Ultrasound Imaging. CoRR abs/2003.09070 (2020) - [i1]Shuhang Wang, Szu-Yeu Hu, Eugene Cheah, Xiaohong Wang, Jingchao Wang, Lei Chen, Masoud Baikpour, Arinc Ozturk
U-Net Using Stacked Dilated Convolutions for Medical Image Segmentation. CoRR abs/2004.03466 (2020)
2010 – 2019
- 2019
- [c4]Szu-Yeu Hu, Hong Xu, Qian Li
Deep Learning-Based Automatic Endometrium Segmentation and Thickness Measurement for 2D Transvaginal Ultrasound. EMBC 2019: 993-997 - 2018
- [c3]Laura J. Brattain, Brian A. Telfer
Objective Liver Fibrosis Estimation from Shear Wave Elastography. EMBC 2018: 1-5 - [c2]Melinda Chen, Qian Li
Contrast-Enhanced Ultrasound to Quantifyc Perfusion in a Machine-Perfused Pig Liver. EMBC 2018: 3128-3131 - 2017
- [c1]Alex Benjamin, Rebecca Zubajlo, Kai Thomenius, Manish Dhyani, Kanakaraju Kaliannan, Anthony E. Samir, Brian W. Anthony:
Non-invasive diagnosis of non-alcoholic fatty liver disease (NAFLD) using ultrasound image echogenicity. EMBC 2017: 2920-2923
Coauthor Index
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