• 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 37 matches

• 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)
• 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 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
• 
  Jingchao Sun, Lu Liu, Jianqiang Li, Ji-Jiang Yang, Shi Chen, Qing Wang, Mengchu Zhou, Rong Li, Bo Liu, Jing Bi:
  A data-driven approach to predict Small-for-Gestational-Age infants. ICNSC 2016: 1-6
• 
  Manjiri Dighe, Yun Jung Kim, Sharmishtaa Seshamani, Anna I. Blazejewska, Susan Mckown, Jason Caucutt, J. Christopher Gatenby, Colin Studholme:
  Regional placental blood oxygen level dependent (BOLD) changes with gestational age in normally developing pregnancies using long duration R2* mapping in utero. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2016: 97881H
• 2015
• 
  Ana I. L. Namburete, Richard V. Stebbing, Bryn Kemp, Mohammad Yaqub, Aris T. Papageorghiou, J. Alison Noble:
  Learning-based prediction of gestational age from ultrasound images of the fetal brain. Medical Image Anal. 21(1): 72-86 (2015)
• 2014
• 
  Akihiro Tateno, Shimpei Akimoto, Tomoaki Nagaoka, Kazuyuki Saito, Soichi Watanabe, Masaharu Takahashi, Koichi Ito:
  Specific Absorption Rates and Temperature Elevations due to Wireless Radio Terminals in Proximity to a Fetus at Gestational Ages of 13, 18, and 26 Weeks. IEICE Trans. Commun. 97-B(10): 2175-2183 (2014)
• 2012
• 
  René Schumann, Stefano Bromuri, Johannes Krampf, Michael Ignaz Schumacher:
  Agent based monitoring of gestational diabetes mellitus (demonstration). AAMAS 2012: 1487-1488
• 
  Eric S. Hall, Beena Kamath-Rayne:
  Impact of Gestational Age Measurement Method on the Calculation of Preterm Birth. AMIA 2012
• 2011
• 
  Michael B. Ranke, Anders Lindberg, et al.:
  Prediction models for short children born small for gestational age (SGA) covering the total growth phase. Analyses based on data from KIGS (Pfizer International Growth Database). BMC Medical Informatics Decis. Mak. 11: 38 (2011)
• 
  Stefano Bromuri, Michael Ignaz Schumacher, Kostas Stathis, Juan Ruiz:
  Monitoring Gestational Diabetes Mellitus with Cognitive Agents and Agent Environments. IAT 2011: 409-414

skipping 7 more matches