Zhiqiang Qin
Biographic Data
| ID | 6937305 |
|---|---|
| NAME | Zhiqiang Qin |
| GIVEN NAMES | Zhiqiang |
| FAMILY NAME | Qin |
| SIGNATURE | QIN Z |
| AFFILIATIONS | Institute of Forensic Science |
| ORCID | 0000-0001-5986-9761 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 2 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 1 |
Use of Deep Learning in Forensic Sex Estimation of Virtual Pelvic Models from the Han Population
Accurate sex estimation is crucial to determine the identity of human skeletal remains effectively. Here, we developed convolutional neural network (CNN) models for sex estimation on virtual hemi-pelvic regions, including the ventral pubis (VP), dorsal pubis (DP), greater sciatic notch (GSN), pelvic inlet (PI), ischium, and acetabulum from the Han population and compared these models with two experienced forensic anthropologists using morphologic…
Birth Defects Data From Population-Based Birth Defects Surveillance System in a District of Southern Jiangsu, China, 2014–2018
As a population-based national surveillance region, Tianning District confronts with great challenges in birth defects (BDs) prevention. We aimed to describe the epidemiology of BDs in infants (including dead fetus, stillbirth, or live birth between 28 weeks of gestation and 42 days after birth) in Tianning District from 2014 to 2018. The data was collected from the national birth defect surveillance system. The prevalence rates of BDs were calcu…
Use of Deep Learning in Forensic Sex Estimation of Virtual Pelvic Models from the Han Population
Accurate sex estimation is crucial to determine the identity of human skeletal remains effectively. Here, we developed convolutional neural network (CNN) models for sex estimation on virtual hemi-pelvic regions, including the ventral pubis (VP), dorsal pubis (DP), greater sciatic notch (GSN), pelvic inlet (PI), ischium, and acetabulum from the Han population and compared these models with two experienced forensic anthropologists using morphologic…
Birth Defects Data From Population-Based Birth Defects Surveillance System in a District of Southern Jiangsu, China, 2014–2018
As a population-based national surveillance region, Tianning District confronts with great challenges in birth defects (BDs) prevention. We aimed to describe the epidemiology of BDs in infants (including dead fetus, stillbirth, or live birth between 28 weeks of gestation and 42 days after birth) in Tianning District from 2014 to 2018. The data was collected from the national birth defect surveillance system. The prevalence rates of BDs were calcu…
Use of Deep Learning in Forensic Sex Estimation of Virtual Pelvic Models from the Han Population
Accurate sex estimation is crucial to determine the identity of human skeletal remains effectively. Here, we developed convolutional neural network (CNN) models for sex estimation on virtual hemi-pelvic regions, including the ventral pubis (VP), dorsal pubis (DP), greater sciatic notch (GSN), pelvic inlet (PI), ischium, and acetabulum from the Han population and compared these models with two experienced forensic anthropologists using morphologic…
Medicine (2 works) · Population (2 works) · Anatomy (1 work) · Artificial Intelligence (1 work) · Autopsy Techniques and Outcomes (1 work) · Biology (1 work) · Cleft Lip and Palate Research (1 work) · Computer Science (1 work) · Congenital Anomalies and Fetal Surgery (1 work) · Convolutional neural network (1 work)