• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 45 matches

• 2022
• 
  Jujjavarapu Sunitha Kumari, Usha Rani Nelakuditi:
  Gestational age determination of ultrasound foetal images using artificial neural network. Int. J. Bioinform. Res. Appl. 18(1/2): 113-129 (2022)
• 
  Chace Lee, Angelica Willis, Christina Chen, Marcin Sieniek, Akib Uddin, Jonny Wong, Rory Pilgrim, Katherine Chou, Daniel Tse, Shravya Shetty, Ryan G. Gomes:
  Enabling faster and more reliable sonographic assessment of gestational age through machine learning. CoRR abs/2203.11903 (2022)
• 2021
• 
  Maisam Wahbah, Raghad Al Sakaji, Kiyoe Funamoto, Anita Krishnan, Yoshitaka Kimura, Ahsan H. Khandoker:
  Estimating Gestational Age From Maternal-Fetal Heart Rate Coupling Parameters. IEEE Access 9: 65369-65379 (2021)
• 
  Yuhan Du, Anthony R. Rafferty, Fionnuala M. McAuliffe, Catherine Mooney:
  Explaining large-for-gestational-age births: a random forest classifier with a novel local interpretation method. BCB 2021: 64:1
• 
  Stepan Romanov, Heda Song, Michel F. Valstar, Don Sharkey, Caz Henry, Isaac Triguero, Mercedes Torres Torres:
  Few-Shot Learning for Postnatal Gestational Age Estimation. IJCNN 2021: 1-8
• 
  Sevim Cengiz, Mohammad Yaqub:
  Automatic Fetal Gestational Age Estimation from First Trimester Scans. ASMUS@MICCAI 2021: 220-227
• 
  Madeleine K. Wyburd, Linde S. Hesse, Moska Aliasi, Mark Jenkinson, Aris T. Papageorghiou, Monique C. Haak, Ana I. L. Namburete:
  Assessment of Regional Cortical Development Through Fissure Based Gestational Age Estimation in 3D Fetal Ultrasound. UNSURE/PIPPI@MICCAI 2021: 242-252
• 
  Sumaia Sabouni, Rami Qahwaji, Krzysztof Poterlowicz, Anne M. Graham:
  Developing Prediction Models for Large for Gestational Age Infants Using Ethnically Diverse Data. UKCI 2021: 439-449
• 
  Lucilio Cordero-Grande, Juan Enrique Ortuño Fisac, Alena Uus, Maria Deprez, Andrés Santos, Joseph V. Hajnal, María-Jesus Ledesma-Carbayo:
  Fetal MRI by robust deep generative prior reconstruction and diffeomorphic registration: application to gestational age prediction. CoRR abs/2111.00102 (2021)
• 2020
• 
  Yu Lu, Xianghua Fu, Fangxiong Chen, Kelvin Kian Loong Wong:
  Prediction of fetal weight at varying gestational age in the absence of ultrasound examination using ensemble learning. Artif. Intell. Medicine 102: 101748 (2020)
• 
  Yuequan Shi, Yunjing Xue, Chunxia Chen, Kaiwu Lin, Zuofu Zhou:
  Association of gestational age with MRI-based biometrics of brain development in fetuses. BMC Medical Imaging 20(1): 125 (2020)
• 
  Camilo E. Valderrama, Faezeh Marzbanrad, Rachel Hall-Clifford, Peter Rohloff, Gari D. Clifford:
  A Proxy for Detecting IUGR Based on Gestational Age Estimation in a Guatemalan Rural Population. Frontiers Artif. Intell. 3: 56 (2020)
• 
  Faheem Akhtar, Jianqiang Li, Yan Pei, Azhar Imran, Asif Rajput, Muhammad Azeem, Bo Liu:
  Diagnosis of large-for-gestational-age infants using a semi-supervised feature learned from expert and data. Multim. Tools Appl. 79(45-46): 34047-34077 (2020)
• 
  Jianqiang Li, Lu Liu, Jingchao Sun, Haowen Mo, Ji-Jiang Yang, Shi Chen, Huiting Liu, Qing Wang, Hui Pan:
  Comparison of Different Machine Learning Approaches to Predict Small for Gestational Age Infants. IEEE Trans. Big Data 6(2): 334-346 (2020)
• 
  Faheem Akhtar, Jianqiang Li, Muhammad Azeem, Shi Chen, Hui Pan, Qing Wang, Ji-Jiang Yang:
  Effective large for gestational age prediction using machine learning techniques with monitoring biochemical indicators. J. Supercomput. 76(8): 6219-6237 (2020)
• 
  Yuhan Du, John Mehegan, Fionnuala M. McAuliffe, Catherine Mooney:
  Prediction of Large for Gestational Age Infants in Overweight and Obese Women at Approximately 20 Gestational Weeks. BCB 2020: 81:1
• 
  Faheem Akhtar, Jianqiang Li, Pei Yan, Azhar Imran, Gul Muhammad Shaikh, Chun Xu:
  Exploiting Ensemble Classification Schemes to Improve Prognosis Process for Large for Gestational Age Fetus Classification. COMPSAC 2020: 1455-1459
• 
  Lok Hin Lee, Elizabeth Bradburn, Aris T. Papageorghiou, J. Alison Noble:
  Calibrated Bayesian Neural Networks to Estimate Gestational Age and Its Uncertainty on Fetal Brain Ultrasound Images. ASMUS/PIPPI@MICCAI 2020: 13-22
• 2019
• 
  Everistus Obinna Abonyi, Charles Ugwoke Eze, Kennedy Kenechukwu Agwuna, Warric Sobechukwu Onwuzu:
  Sonographic estimation of gestational age from 20 to 40 weeks by fetal kidney lengths' measurements among pregnant women in Portharcourt, Nigeria. BMC Medical Imaging 19(1): 72:1-72:7 (2019)
• 
  Mercedes Torres Torres, Michel F. Valstar, Caroline Henry, Carole Ward, Don Sharkey:
  Postnatal gestational age estimation of newborns using Small Sample Deep Learning. Image Vis. Comput. 83-84: 87-99 (2019)
• 
  Dafnis Batalle, Jonathan O'Muircheartaigh, Antonios Makropoulos, Christopher J. Kelly, Ralica Dimitrova, Emer J. Hughes, Joseph V. Hajnal, Hui Zhang, Daniel C. Alexander, A. David Edwards, Serena J. Counsell:
  Different patterns of cortical maturation before and after 38 weeks gestational age demonstrated by diffusion MRI in vivo. NeuroImage 185: 764-775 (2019)
• 
  Deanne K. Thompson, Claire E. Kelly, Jian Chen, Richard Beare, Bonnie Alexander, Marc L. Seal, Katherine J. Lee, Lillian G. Matthews, Peter J. Anderson, Lex W. Doyle, Alicia J. Spittle, Jeanie L. Y. Cheong:
  Early life predictors of brain development at term-equivalent age in infants born across the gestational age spectrum. NeuroImage 185: 813-824 (2019)
• 
  S. Meenakshi, M. Suganthi, P. Suresh Kumar:
  An approach for automatic detection of fetal gestational age at the third trimester using kidney length and biparietal diameter. Soft Comput. 23(8): 2839-2848 (2019)
• 
  Yu Lu, Xi Zhang, Xianghua Fu, Fangxiong Chen, Kelvin Kian Loong Wong:
  Ensemble Machine Learning for Estimating Fetal Weight at Varying Gestational Age. AAAI 2019: 9522-9527
• 
  Faheem Akhtar, Jianqiang Li, Yan Pei, Bo Liu, Muhammad Azeem, Qing Wang, Ji-Jiang Yang:
  Diagnosis of Large for Gestational Age Fetus with an Expert-Driven Feature Selection Scheme. SSCI 2019: 3152-3157
• 2018
• 
  Hernâni Gonçalves, Célia Amorim-Costa, Diogo Ayres-de-Campos, João Bernardes:
  Evolution of linear and nonlinear fetal heart rate indices throughout pregnancy in appropriate, small for gestational age and preterm fetuses: A cohort study. Comput. Methods Programs Biomed. 153: 191-199 (2018)
• 
  Liyue Shen, Katie S. Shpanskaya, Edward H. Lee, Emily McKenna, Maryam Maleki, Quin Lu, Safwan Halabi, John M. Pauly, Kristen W. Yeom:
  Deep Learning with Attention to Predict Gestational Age of the Fetal Brain. CoRR abs/1812.07102 (2018)
• 2017
• 
  Dan Wu, Linda Chang, Kentaro Akazawa, Kumiko Oishi, Jon Skranes, Thomas Ernst, Kenichi Oishi:
  Mapping the critical gestational age at birth that alters brain development in preterm-born infants using multi-modal MRI. NeuroImage 149: 33-43 (2017)
• 
  Mercedes Torres, Michel F. Valstar, Caroline Henry, Carole Ward, Don Sharkey:
  Small Sample Deep Learning for Newborn Gestational Age Estimation. FG 2017: 79-86
• 2016
• 
  Faezeh Marzbanrad, Ahsan H. Khandoker, Yoshitaka Kimura, Marimuthu Palaniswami, Gari D. Clifford:
  Estimating Fetal Gestational Age Using Cardiac Valve Intervals. CinC 2016

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