Marko Subašić
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View article: Age Estimation Based On Orthopantomograms Using Artificial Intelligence
Age Estimation Based On Orthopantomograms Using Artificial Intelligence Open
Aim or purpose: This study evaluated the accuracy of artificial intelligence (AI) in determining age based on orthopantomograms (OPG), considering gender differences. Materials and methods: The research utilized the DASE AI tool (Dental ag…
View article: A Forensic Odontology Application: Impact of Image Quality on CNNs for Dental Status Analysis from Orthopantomograms
A Forensic Odontology Application: Impact of Image Quality on CNNs for Dental Status Analysis from Orthopantomograms Open
Artificial Intelligence, especially Convolutional Neural Networks (CNN), is gaining importance in health sciences, including forensic odontology. This study aimed to systematically analyze elements for automated dental status registration …
View article: Efficient Method for Robust Backdoor Detection and Removal in Feature Space Using Clean Data
Efficient Method for Robust Backdoor Detection and Removal in Feature Space Using Clean Data Open
The steady increase of proposed backdoor attacks on deep neural networks highlights the need for robust defense methods for their detection and removal. A backdoor attack is a type of attack where hidden triggers are added to the input dat…
View article: Context-Aware Fine-Grained Product Recognition on Grocery Shelves
Context-Aware Fine-Grained Product Recognition on Grocery Shelves Open
Product recognition is a fine-grained image retrieval problem because grocery stores can contain several thousand products on their shelves, some of which have minimal visual differences. Given that the products on the store’s shelves chan…
View article: Utilizing Deep Learning for Diagnosing Radicular Cysts
Utilizing Deep Learning for Diagnosing Radicular Cysts Open
Objectives: The purpose of this study was to develop a deep learning algorithm capable of diagnosing radicular cysts in the lower jaw on panoramic radiographs. Materials and Methods: In this study, we conducted a comprehensive analysis of …
View article: Enhanced Out-of-Stock Detection in Retail Shelf Images Based on Deep Learning
Enhanced Out-of-Stock Detection in Retail Shelf Images Based on Deep Learning Open
The term out-of-stock (OOS) describes a problem that occurs when shoppers come to a store and the product they are seeking is not present on its designated shelf. Missing products generate huge sales losses and may lead to a declining repu…
View article: Detection and Segmentation of Radiolucent Lesions in the Lower Jaw on Panoramic Radiographs Using Deep Neural Networks
Detection and Segmentation of Radiolucent Lesions in the Lower Jaw on Panoramic Radiographs Using Deep Neural Networks Open
Background and Objectives: The purpose of this study was to develop and evaluate a deep learning model capable of autonomously detecting and segmenting radiolucent lesions in the lower jaw by utilizing You Only Look Once (YOLO) v8. Materia…
View article: Extensive evaluation of image classifiers' interpretations
Extensive evaluation of image classifiers' interpretations Open
The application of artificial intelligence in delicate fields has led to the increased popularity of deep model interpretation. When dealing with an image classification problem, interpretations are usually presented as two-dimensional sal…
View article: Artificial intelligence in forensic medicine and forensic dentistry.
Artificial intelligence in forensic medicine and forensic dentistry. Open
This review article aims to highlight the current possibilities for applying Artificial Intelligence in modern forensic medicine and forensic dentistry and present the advantages and disadvantages of its use. For this purpose, the relevant…
View article: Artificial Intelligence in Medicine and Dentistry
Artificial Intelligence in Medicine and Dentistry Open
The possibilities of applying artificial intelligence to medicine and dentistry are just being discovered. Artificial intelligence will greatly contribute to developments in medicine and dentistry, as it is a tool that enables development …
View article: Improvement Possibilities for Nuclear Power Plants Inspections by Adding Deep Learning-based Assistance Algorithms Into a Classic Ultrasound NDE Acquisition and Analysis Software
Improvement Possibilities for Nuclear Power Plants Inspections by Adding Deep Learning-based Assistance Algorithms Into a Classic Ultrasound NDE Acquisition and Analysis Software Open
The safety of nuclear power plants has always been one of the most important security issues in the industry in general. Numerous standards, techniques, and tools have been developed to deal specifically with the safety of nuclear power pl…
View article: Framework for Illumination Estimation and Segmentation in Multi-Illuminant Scenes
Framework for Illumination Estimation and Segmentation in Multi-Illuminant Scenes Open
Color constancy is an important part of the human visual system, as it allows us to perceive the colors of objects invariant to the color of the illumination that is illuminating them. Modern digital cameras have to be able to recreate thi…
View article: NTIRE 2022 Challenge on Night Photography Rendering
NTIRE 2022 Challenge on Night Photography Rendering Open
This paper reviews the NTIRE 2022 challenge on night photography rendering. The challenge solicited solutions that processed RAW camera images captured in night scenes to produce a photo-finished output image encoded in the standard RGB (s…
View article: A Comprehensive Exploration of Neural Networks for Forensic Analysis of Adult Single Tooth X-Ray Images
A Comprehensive Exploration of Neural Networks for Forensic Analysis of Adult Single Tooth X-Ray Images Open
Determining the demographic characteristics of a person post-mortem is a fundamental task for forensic experts, and the dental system is a crucial source of those information. Those characteristics, namely age and sex, can reliably be dete…
View article: HD-RACE: Spray-based Local Tone Mapping Operator
HD-RACE: Spray-based Local Tone Mapping Operator Open
International audience
View article: Artificial intelligence implementation in tooth identification from X-ray images
Artificial intelligence implementation in tooth identification from X-ray images Open
Aim or Purpose: Development of a convolutional neural network that can precisely and quickly identify teeth from x-ray images, without using neighbouring structures as a frame of reference. Materials and Methods: Using a database of 11403 …
View article: Iterative Convolutional Neural Network-Based Illumination Estimation
Iterative Convolutional Neural Network-Based Illumination Estimation Open
In the image processing pipelines of digital cameras, one of the first steps is to achieve invariance in terms of scene illumination, namely computational color constancy. Usually, this is done in two successive steps which are illuminatio…
View article: Illumination Estimation Challenge: experience of past two years
Illumination Estimation Challenge: experience of past two years Open
Illumination estimation is the essential step of computational color constancy, one of the core parts of various image processing pipelines of modern digital cameras. Having an accurate and reliable illumination estimation is important for…
View article: On Some Desired Properties of Data Augmentation by Illumination Simulation for Color Constancy
On Some Desired Properties of Data Augmentation by Illumination Simulation for Color Constancy Open
Computational color constancy is used in almost all digital cameras to reduce the influence of scene illumination on object colors. Many of the highly accurate published illumination estimation methods use deep learning, which relies on la…
View article: The Cube++ Illumination Estimation Dataset
The Cube++ Illumination Estimation Dataset Open
Computational color constancy has the important task of reducing the influence of the scene illumination on the object colors. As such, it is an essential part of the image processing pipelines of most digital cameras. One of the important…
View article: The Cube++ Illumination Estimation Dataset
The Cube++ Illumination Estimation Dataset Open
Computational color constancy has the important task of reducing the influence of the scene illumination on the object colors. As such, it is an essential part of the image processing pipelines of most digital cameras. One of the important…
View article: Deep Learning-Based Illumination Estimation Using Light Source Classification
Deep Learning-Based Illumination Estimation Using Light Source Classification Open
Color constancy is one of the key steps in the process of image formation in digital cameras. Its goal is to process the image so that there is no influence of illumination color on the colors of objects and surfaces. To capture the target…
View article: The Cube++ Illumination Estimation Dataset
The Cube++ Illumination Estimation Dataset Open
Computational color constancy has the important task of reducing the influence of the scene illumination on the object colors. As such, it is an essential part of the image processing pipelines of most digital cameras. One of the important…
View article: Preface
Preface Open
The 2019 edition of the International Symposium on Image and Signal Processing and Analysis (ISPA 2019) is the eleventh in the series of biennial research meetings and it follows the successful ISPA 2017 meeting held in Ljubljana, Slovenia…
View article: The Past and the Present of the Color Checker Dataset Misuse
The Past and the Present of the Color Checker Dataset Misuse Open
The pipelines of digital cameras contain a part for computational color constancy, which aims to remove the influence of the illumination on the scene colors. One of the best known and most widely used benchmark datasets for this problem i…
View article: CroP: Color Constancy Benchmark Dataset Generator
CroP: Color Constancy Benchmark Dataset Generator Open
Implementing color constancy as a pre-processing step in contemporary digital cameras is of significant importance as it removes the influence of scene illumination on object colors. Several benchmark color constancy datasets have been cre…