Chenghuan Yin

ORCID: 0000-0001-6432-6497
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About
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Research Areas
  • Ectopic Pregnancy Diagnosis and Management
  • Medical Research and Treatments
  • Granular flow and fluidized beds
  • Ultrasound and Hyperthermia Applications
  • Medical Imaging and Analysis
  • Ultrasound in Clinical Applications
  • Cervical Cancer and HPV Research
  • Landslides and related hazards
  • Cleft Lip and Palate Research
  • Soil Mechanics and Vehicle Dynamics

Northeastern University
2022-2025

Northeastern University
2022

The study of the motion behavior self-propulsion intruders in granular materials is significant importance fields robotics and biomimetics. This experimentally investigates ascent a quasi-two-dimensional system and, through discrete element method simulations, reveals underlying mechanisms intruder's its mesoscopic impact on media. results show that excitation force induces local fluidization particles generates flow compresses space beneath intruder. primary cause ascent. Based these...

10.1063/5.0256245 article EN Physics of Fluids 2025-03-01

Abstract Background It is challenging to predict the outcome of pregnancy when fetal heart activity detected in early pregnancy. However, an accurate prediction importance for obstetricians as it helps provide appropriate consultancy and determine frequency ultrasound examinations. The purpose this study was investigate role convolutional neural network (CNN) spontaneous miscarriage risk through analysis gestational sac images. Methods A total 2196 images from 1098 women with singleton...

10.1186/s12884-022-04936-0 article EN cc-by BMC Pregnancy and Childbirth 2022-08-05

Background: Predicting subsequent miscarriage risks in women with viable pregnancies the first trimester can help individualize treatment plans and improve patient outcomes. We aimed to develop a multi-input VGG19 model that combines first-trimester ultrasound (US) images of gestational sacs (GS) US measurements for prediction.Methods: Our study retrospectively evaluated dataset from 742 pregnant at 6–8 weeks, January 2016 December 2018. Three types GS segmentation sixth, seventh, eighth...

10.2139/ssrn.4181708 article EN SSRN Electronic Journal 2022-01-01
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