Muhammet Üsame Öziç

• Doctor of Engineering
• Asst. Prof. at Pamukkale University

Background/Objective: This study aimed to develop an AI-supported clinical tool to evaluate the difficulty of mandibular third molar extractions based on panoramic radiographs. Methods: A dataset of 2000 panoramic radiographs collected between 2023 and 2024 was annotated by an oral radiologist using bounding boxes. YOLO11 sub-models were trained an...

Periodontal disease is a significant global oral health problem. Radiographic staging is critical in determining periodontitis severity and treatment requirements. This study aims to automatically stage periodontal bone loss using a deep learning approach using bite-wing images. A total of 1752 bite-wing images were used for the study. Radiological...

Tooth decay is a common oral disease worldwide, but errors in diagnosis can often be made in dental clinics, which can lead to a delay in treatment. This study aims to use artificial intelligence (AI) for the automated detection and localization of secondary, occlusal, and interproximal (D1, D2, D3) caries types on bite-wing radiographs. The eight...

A stroke is a case of damage to a brain area due to a sudden decrease or complete cessation of blood flow to the brain. The interruption or reduction of the transportation of oxygen and nutrients through the bloodstream causes damage to brain tissues. Thus, motor or sensory impairments occur in the body part controlled by the affected area of the b...

Idiopathic osteosclerosis (IO) are focal radiopacities of unknown etiology observed in the jaws. These radiopacities are incidentally detected on dental panoramic radiographs taken for other reasons. In this study, we investigated the performance of a deep learning model in detecting IO using a small dataset of dental panoramic radiographs with var...

Breast cancer is one of the most common types of cancer among women worldwide. It typically begins with abnormal cell growth in the breast glands or milk ducts and can spread to other tissues. Many breast cancer cases start with the presence of a mass and should be carefully examined. Masses can be monitored using X-ray-based digital mammography im...

Osteoporosis is a systemic disease that causes fracture risk and bone fragility due to decreased bone mineral density and deterioration of bone microarchitecture. Deep learning-based image analysis technologies have effectively been used as a decision support system in diagnosing disease. This study proposes a deep learning-based approach that auto...

Press brakes are among the most important machines used in sheet metal processing. In these machines, different numbers of molds are used for sheet bending and these molds are placed in the system by an operator. However, this process is slow, error-prone, and dependent on human labor. In this study, a real-time system that automatically detects mo...

Objectives Pulpal calcifications are discrete hard calcified masses of varying sizes in the dental pulp cavity. This study is aimed at measuring the performance of the YOLOv4 deep learning algorithm to automatically determine whether there is calcification in the pulp chambers in bite-wing radiographs.Materials and methodsIn this study, 2000 bite-w...

Objectives The aim of the present study was to compare five convolutional neural networks for predicting osteoporosis based on mandibular cortical index (MCI) on panoramic radiographs. Methods Panoramic radiographs of 744 female patients over 50 years of age were labeled as C1, C2, and C3 depending on the MCI. The data of the present study were re...

Bu makaleye şu şekilde atıfta bulunabilirsiniz(To cite to this article): Öziç M. Ü., Ekmekci A. H., Özşen S., Barstuğan M. ve Yıldoğan A. T., "3B T1 ağırlıklı mr görüntülerinde atlas tabanlı hacim ölçüm yöntemini kullanarak alzheimer hastalığının teşhisi", Politeknik Dergisi, 25(1): 47-58, (2022). Erişim linki (To link to this article): http://derg...

Nesne sayma, gıda, medikal, endüstri ve günlük yaşamda farklı görevler için kullanılan bir süreçtir. Bu çalışmada, nesne sayma işleminin gerçekleştirilebilmesi için görüntü işleme tabanlı sistemler incelenmiş ve uygulamalar yapılmıştır. Uygulamalar için nesnelerin bir silo üzerinden akarak serici üzerinden eğimli bir şekilde ilerleyebileceği bir de...

The binary categorisation of brain tumours is challenging owing to the complexities of tumours. These challenges arise because of the diversities between shape, size, and intensity features for identical types of tumours. Accordingly, framework designs should be optimised for two phenomena: feature analyses and classification. Based on the challeng...

Alzheimer's Disease is a deadly neurological disease that begins with cognitive disorders and forgetfulness. Volumetric changes caused by the disease in the brain can be monitored with high resolution magnetic resonance images. In this study, volumetric losses occurring in gray matter and white matter regions were mapped by voxel-based morphometry...

T1 ağırlıklı üç boyutlu yapısal manyetik rezonans görüntüleme, hastalıklardan dolayı beyinde meydana gelen doku bozuklukları ve hacimsel kayıpların yüksek çözünürlükte görüntülenmesini sağlayan bir görüntüleme tekniğidir. Bu görüntüleme tekniği ile hastaya dışarıdan herhangi bir müdahale yapılmadan görüntüler alınabilmektedir. Fiziksel olarak görün...

Alzheimer's Disease is a brain disease that begins with aging. Diagnosis of the disease, its follow-up and measurements of the related brain regions can be performed with high-resolution three-dimensional structural magnetic resonance images. In this study, an atlas-based volume measurement and classification model were designed that can perform vo...

Background: Multiple Sclerosis (MS) causes atrophy of the brain over time. In this study, the volume changes of the Lateral Ventricle (LV) due to atrophy of a MS patient who had been different MRIs in 1209 days. Objective: The change of LV volume over time of a MS patient were examined using automatic segmentation toolboxes and T1-weighted structur...

Therapeutic methods developed for the repair of damaged nerves often do not provide adequate recovery. Along with the application of tissue engineering principles in the nerve tissue regeneration, many researches have been made and are still in progress to develop an ideal nerve guide channel. Promising studies are ongoing for the use of nano-sized...

Tumors are undesired tissue disorders that occur in many different parts of the body. These disorders can be either benign or malignant depending on their type. Brain tumors are non-brain structures that are frequently encountered in neurology. These structures negatively affect daily life by disrupting the functional centers of the person with res...

Three dimensional structural MR imaging is a high-resolution imaging technique used in the detection and follow up of neurological disorders. Rigid changes in the brain are usually interpreted and reported manually by radiologists using MR images. The results of manual interpretation may vary with respect to the experts. At the same time, measureme...

Alzheimer’s disease is a neurological disorder that usually starts with aging. Alzheimer’s disease is a serious health and economic burden on governments, along with an increase in elderly population in developed and developing countries. There is no known cause of this disease and there is no treatment. For this reason, early diagnosis of the dise...

Professional musicians represent an ideal model to study the training-induced brain plasticity. The current study aimed to investigate the brain volume and diffusion characteristics of musicians using structural magnetic resonance and diffusion tensor imaging (DTI). The combined use of volumetric and diffusion methods in studying musician brain has...

Examining of progress of diseases that occur in brain using numerical methods is one of the topics of neuroscience researches. One of the developing numerical methods for examinig local and global changes that occur in brain is Voxel Based Morphometry. For examining intragroup and intergroup differences via Voxel Based Morphometry is required to us...

The human brain consists of two hemispheres, right and left. These two hemispheres are almost symmetrical, not perfectly. However, in neurological diseases, the volumetric losses in the brain begin to deteriorate asymmetrically between the two hemispheres. This deterioration can be local or global in the brain. Symmetry deterioration can be a bioma...

Abstract. Alzheimer Disease is a neurological disorder generally coming out with aging. With increasing of elderly population in developed and developing countries, Alzheimer Disease is a serious healthcare and economical expenditure. There is no cure and no reason known as of this disease. So, diagnosis of early stage, results of socio-economic an...

The monitoring of volumetric changes in the brain during neurological diseases is done with three dimensional structural MR images. Numerical methods are needed to evaluate the volumetric difference between healthy and diseased MR image groups. Voxel based morphometry is a numerical method used to perform inter-group and intra-group analysis of MR...

Segmentation of any region of interest in threedimensional structural MR images is a difficult and laborious process. Manual segmentation of these regions is relative to user dependence and experience. Electronic brain atlases, which have been accepted by international standards and have proven to be reliable, are used in the literature to address...

Alzheimer’s disease is a neurological disorder that usually starts with aging. Alzheimer’s disease is a serious health and economic burden on governments, along with an increase in elderly population in developed and developing countries. There is no known cause of this disease and there is no treatment. For this reason, early diagnosis of the dise...

Amaç: Hiperemezis gravidarum (HG) hamilelik sırasında aşırı kusma ve bulantının ortaya çıkardığı bir hastalıktır. Normal gebelikte sıklıkla görülen basit bulantı ve kusmadan farklı olarak sebebi tam olarak bilinmeyen bir durumdur. Beynin HG'deki yeri ve rolü tam bilinmemektedir. Gereç ve Yöntem: Selçuk Üniversitesi Tıp Fakültesi, Kadın Doğum Polikl...

Dementia is a stage that identifies all of the symptoms that led to the weakening of multiple cognitive functions. It is usually expressed as 'bunama' among people. Dementia is not a disease itself is known as a transition period that defines the initial stages of many diseases. Proportional change in mental function of many variables that influenc...

Multiple image thresholding is a popular method used to separate homogeneous subsets of gray level images. To find the optimum threshold in the image in the literature is still a research topic. Many image thresholding method uses the histogram of the image. In this study, the objective function of Otsu method which is a statistical process, Partic...