AIMC Topic: Forensic Anthropology

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Body height estimation from automated length measurements on standing long leg radiographs using artificial intelligence.

Scientific reports
Artificial-intelligence (AI) allows large-scale analyses of long-leg-radiographs (LLRs). We used this technology to derive an update for the classical regression formulae by Trotter and Gleser, which are frequently used to infer stature based on long...

Sex determination using the clavicle by deep learning in a Thai population.

Medicine, science, and the law
Determining sex is a critical process in estimating biological profiles from skeletal remains. The clavicle is interesting in studying sex determination because it is durable to the environment, slow to decay, challenging to destroy, making the clavi...

Facial reconstruction using 3-D computerized method: A scoping review of Methods, current Status, and future developments.

Legal medicine (Tokyo, Japan)
Facial reconstruction (otherwise known as facial approximation) is an alternative method that has been widely accepted in forensic anthropological and archaeological circumstances. This method is considered useful for creating the virtual face of a p...

Deep learning in sex estimation from a peripheral quantitative computed tomography scan of the fourth lumbar vertebra-a proof-of-concept study.

Forensic science, medicine, and pathology
Sex estimation is a key element in the analysis of unknown skeletal remains. The vertebrae display clear sex discrepancy and have proven accurate in conventional morphometric sex estimation. This proof-of-concept study aimed to investigate the possib...

Applications of artificial intelligence in forensic sciences: Current potential benefits, limitations and perspectives.

International journal of legal medicine
In recent years, new studies based on artificial intelligence (AI) have been conducted in the forensic field, posing new challenges and demonstrating the advantages and disadvantages of using AI methodologies to solve forensic well-known problems. Sp...

Stature estimation by semi-automatic measurements of 3D CT images of the femur.

International journal of legal medicine
Stature estimation is one of the most basic and important methods of personal identification. The long bones of the limbs provide the most accurate stature estimation, with the femur being one of the most useful. In all the previously reported method...

Dual-Scale Doppler Attention for Human Identification.

Sensors (Basel, Switzerland)
This paper considers a Deep Convolutional Neural Network (DCNN) with an attention mechanism referred to as Dual-Scale Doppler Attention (DSDA) for human identification given a micro-Doppler (MD) signature induced as input. The MD signature includes u...

Interpretable Passive Multi-Modal Sensor Fusion for Human Identification and Activity Recognition.

Sensors (Basel, Switzerland)
Human monitoring applications in indoor environments depend on accurate human identification and activity recognition (HIAR). Single modality sensor systems have shown to be accurate for HIAR, but there are some shortcomings to these systems, such as...

Deep learning and morphometric approach for Sex determination of the lumbar vertebrae in a Thai population.

Medicine, science, and the law
Sex determination is a fundamental step in biological profile estimation from skeletal remains in forensic anthropology. This study proposes deep learning and morphometric technique to perform sex determination from lumbar vertebrae in a Thai populat...

Human identification performed with skull's sphenoid sinus based on deep learning.

International journal of legal medicine
Human identification plays a significant role in the investigations of disasters and criminal cases. Human identification could be achieved quickly and efficiently via 3D sphenoid sinus models by customized convolutional neural networks. In this retr...