Explanipedia

Channel Attention Networks for Robust MR Fingerprinting Matching Open

Refik Soyak, Ebru Navruz, Eda Ozgu Ersoy, Gastão Cruz, Claudia Prieto , et al. · 2025

Magnetic Resonance Fingerprinting (MRF) enables simultaneous mapping of multiple tissue parameters such as T1 and T2 relaxation times. The working principle of MRF relies on varying acquisition parameters pseudo-randomly, so that each tiss…

COVID-19 Detection from Computed Tomography Images Using Slice Processing Techniques and a Modified Xception Classifier Open

Kenan Morani, Esra Kaya Ayana, Dimitrios Kollias, Devrim Ünay · 2024

This paper extends our previous method for COVID-19 diagnosis, proposing an enhanced solution for detecting COVID-19 from computed tomography (CT) images using a lean transfer learning-based model. To decrease model misclassifications, two…

Blank Frame and Intensity Variation Distortion Detection and Restoration Pipeline for Phase-Contrast Microscopy Time-Lapse Images Open

Mahmut Uçar, Leonardo O. Iheme, Sevgi Önal, Devrim Pesen‐Okvur, Ozden Yalcin- Ozuysal , et al. · 2024

In this study, we propose a preprocessing pipeline for the detection and correction of distorted frames in time-lapse images obtained from phase-contrast microscopy. The proposed pipeline employs the average intensities of frames as a foun…

Collection: Wound Healing Assay Dataset (WHAD) and Cell Adhesion and Motility Assay Dataset (CAMAD) Open

Leonardo O. Iheme, Sevgi Önal, Yusuf Sait Erdem, Mahmut Uçar, Özden Yalcin-Ozuysal , et al. · 2024

the Wound Healing Assay Dataset (WHAD) and the Cell Adhesion and Motility Assay Dataset (CAMAD). WHAD comprises time-lapse phase-contrast images of wound healing assays using genetically modified MCF10A and MCF7 cells, while CAMAD includes…

Covid-19 detection using modified xception transfer learning approach from computed tomography images Open

Kenan Morani, Esra Kaya Ayana, Devrim Ünay · 2023

The significance of efficient and accurate diagnosis amidst the unique challenges posed by the COVID-19 pandemic underscores the urgency for innovative approaches. In response to these challenges, we propose a transfer learning-based appro…

TIPTEKNO 2023 Cover Page Open

Aydın Akan, Levent Eren, Devrim Ünay, Manâ Sezdi, Utku Kürşat , et al. · 2023

Department between Nov. 10-12, 2023 in Famagusta, TRNC with international participation.In our congress, users, manufacturers, researchers, managers and public representatives working in the field of medical technologies were brought toget…

Deep learning-based automated COVID-19 classification from computed tomography images Open

Kenan Morani, Devrim Ünay · 2023

A method of a Convolutional Neural Networks (CNN) for image classification\nwith image preprocessing and hyperparameters tuning was proposed. The method\naims at increasing the predictive performance for COVID-19 diagnosis while more\ncomp…

Table of Contents Open

Aydın Akan, Behçet Uğur Töreyın, Behçet Uğur, Töreyin -Devrim Ünay, Dilan Doğru , et al. · 2022

Detection and Restoration Pipeline for Phase Contrast Microscopy Time Series Images Open

Mahmut Uçar, Leonardo O. Iheme, Sevgi Önal, Özden Yalcin-Ozuysal, Devrim Pesen‐Okvur , et al. · 2022

We propose a pre-processing pipeline for the de-tection and restoration of distorted frames in phase-contrast microscopy time-series images. The analysis is based on the average intensity values of the frames within any given time- series …

An interactive time series image analysis software for dendritic spines Open

Ali Özgür Argunşah, Ertunç Erdil, Muhammad Usman Ghani, Yazmín Ramiro-Cortés, Anna Felicity Hobbiss , et al. · 2022

COVID-19 Detection Using Transfer Learning Approach from Computed Tomography Images Open

Kenan Morani, Esra Kaya Ayana, Devrim Ünay · 2022

The significance of efficient and accurate diagnosis amidst the unique challenges posed by the COVID-19 pandemic underscores the urgency for innovative approaches. In response to these challenges, we propose a transfer learning-based appro…

Predicting Purchase Interest of Online Shoppers Using Boosting Algorithms Open

Başak Esin Köktürk-Güzel, Devrim Ünay · 2021

Data driven marketing is becoming more and more vital for businesses day-by-day. Understanding customer behavior has the potential to decrease marketing costs as well as increase sales both in conventional marketing and online marketing. S…

Deep Learning Based Automated COVID-19 Classification from Computed Tomography Images Open

Kenan Morani, Devrim Ünay · 2021

A method of a Convolutional Neural Networks (CNN) for image classification with image preprocessing and hyperparameters tuning was proposed. The method aims at increasing the predictive performance for COVID-19 diagnosis while more complex…

Improved cell segmentation using deep learning in label-free optical microscopy images Open

Aydin Ayanzadeh, Özden Yalcin-Ozuysal, Devrim Pesen‐Okvur, Sevgi Önal, Behçet Uğur Töreyın , et al. · 2021

The recently popular deep neural networks (DNNs) have a significant effect on the improvement of segmentation accuracy from various perspectives, including robustness and completeness in comparison to conventional methods. We determined th…

An Image Segmentation Method for Wound Healing Assay Images Open

Yusuf Sait Erdem, Özden Yalcin-Ozuysal, Devrim Pesen‐Okvur, Behçet Uğur Töreyın, Devrim Ünay · 2021

Wound healing assays are important for molecular biologists to understand the mechanisms of cell migration. For the analysis of wound healing assays, accurate segmentation of the wound front is a necessity. Manual annotation of the wound f…

Model-Free automatic segmentation of the aortic valve in multislice computed tomography images Open

Devrim Ünay, İbrahim Harmankaya, İlkay Öksüz, Rahmi Çubuk, Levent Çelik , et al. · 2021

Valvular diseases may affect one or more of the cardiac valves, which may need to be replaced or restored for effective treatment. The surgical procedure can be guided by a patient-specific and dynamic model containing information compleme…

Model-free automatic segmentation of the aortic valve in multislice computed tomography images Open

Devrim Ünay, İbrahim Harmankaya, İlkay Öksüz, Rahmi Çubuk, Levent Çelik , et al. · 2021

Valvular diseases may affect one or more of the cardiac valves, which may need to be replaced or restored for effective treatment. The surgical procedure can be guided by a patient-specific and dynamic model containing information compleme…

Phase Contrast Microscopy of cells with annotation Open

Aydin Ayanzadeh, Hüseyin Onur Yağar, Özden Yalcin-Ozuysal, Devrim Pesen‐Okvur, Behçet Uğur Töreyın , et al. · 2021

Three breast cell lines with different morphology and mobility were used in this workspace, invasive breast cancer cell line MDA-MB-231 in mesenchymal morphology; non-invasive breast cancer cell line MCF7 in epithelial morphology, and norm…

Phase Contrast Microscopy of cells with annotation Open

Aydin Ayanzadeh, Hüseyin Onur Yağar, Özden Yalcin-Ozuysal, Devrim Pesen‐Okvur, Behçet Uğur Töreyın , et al. · 2021

Phase contrast Microscopy

A Preliminary Study on Cell Motility Analysis from Phase-Contrast Microscopy Image Series Open

Emre Kayan, ve Tarik Kavusan, Sevgi Önal, Devrim Pesen‐Okvur, ve Ozden Y. Ozuysal , et al. · 2020

Analyses of morphology, polarity, and motility of cells is important for cell biology research such as metastatic and invasive capacity of cells, wound healing, and embryonic development. Automation of such analyses using image series of p…

SSNOMBACTER: A collection of scattering-type scanning near-field optical microscopy and atomic force microscopy images of bacterial cells Open

Massimiliano Lucidi, Denis E. Tranca, Lorenzo Nichele, Devrim Ünay, George A. Stanciu , et al. · 2020

Background In recent years, a variety of imaging techniques operating at nanoscale resolution have been reported. These techniques have the potential to enrich our understanding of bacterial species relevant to human health, such as antibi…

SpineS: An interactive time-series analysis software for dendritic spines Open

Ali Özgür Argunşah, Ertunç Erdil, Muhammad Usman Ghani, Yazmín Ramiro Cortés, Anna Felicity Hobbiss , et al. · 2020

Live fluorescence imaging has shown the dynamic nature of dendritic spines, with changes in shape occurring both during development and in response to activity. The structure of a dendritic spine positively correlates with its functional e…

BIAFLOWS: A Collaborative Framework to Reproducibly Deploy and Benchmark Bioimage Analysis Workflows Open

Ulysse Rubens, Romain Mormont, Lassi Paavolainen, Volker Bäcker, Benjamin Pavie , et al. · 2020

Automated Segmentation of Cells in Phase Contrast Optical Microscopy Time Series Images Open

Rıfkı Can Binici, Umut Şahin, Aydin Ayanzadeh, Behçet Uğur Töreyın, Sevgi Önal , et al. · 2019

2019 Medical Technologies Congress, TIPTEKNO 2019; Palm Wings Ephesus HotelIzmir; Turkey; 3 October 2019 through 5 October 2019

BIAFLOWS: A collaborative framework to reproducibly deploy and benchmark bioimage analysis workflows Open

Ulysse Rubens, Romain Mormont, Lassi Paavolainen, Volker Bäcker, Gino Michiels , et al. · 2019

Automated image analysis has become key to extract quantitative information from scientific microscopy bioimages, but the methods involved are now often so refined that they can no longer be unambiguously described using written protocols.…

Computational Attention for Defect Localisation Open

Matei Mancaş, Devrim Ünay, Bernard Gosselin, Benoît Macq · 2019

This article deals with a biologically-motivated three-level computational attention model architecture based on the rarity and the information theory framework. It mainly focuses on a low-level step and its application in pre-attentive de…

Combining Nonparametric Spatial Context Priors With Nonparametric Shape Priors for Dendritic Spine Segmentation in 2-Photon Microscopy Images Open

Ertunç Erdil, Ali Özgür Argunşah, Tolga Taşdizen, Devrim Ünay, Müjdat Çetin · 2019

Data driven segmentation is an important initial step of shape prior-based segmentation methods since it is assumed that the data term brings a curve to a plausible level so that shape and data terms can then work together to produce bette…

Phase Contrast Microscopy of cells with annotation Open

Aydin Ayanzadeh, Hüseyin Onur Yağar, Özden Yalcin-Ozuysal, Devrim Pesen‐Okvur, Behçet Uğur Töreyın , et al. · 2019

Phase contrast Microscopy

Phase Contrast Microscopy of cells with annotation Open

Aydin Ayanzadeh, Özden Yalcin-Ozuysal, Devrim Pesen‐Okvur, Behçet Uğur Töreyın, Devrim Ünay , et al. · 2019

Phase contrast Microscopy

Modified Visual Magnetic Resonance Rating Scale for Evaluation of Patients with Forgetfulness Open

Betül Yalçiner, Melek Kandemir, Sencan Taskale, Savaş Tepe, Devrim Ünay · 2018

Background As cognitive impairment increases with age, sulcal atrophy (SA) and the enlargement of the ventricles also increase. Considering the measurements on the previously proposed visual scales, a new scale is proposed in this study th…

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