Yazar "Yılmaz, Bülent" için listeleme
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Biyonik Elin Faaliyete Hazırlanmasında Kaldırılacak Cisme Dair Ağırlık Algısının Beyin Sinyalleriyle Belirlenmesi
Yılmaz, Bülent; Ulutabanca, Halil; Ünal, Ramazan; Altındiş, Fatih; Sarrafikhosrowshah, Mahsa (TÜBİTAK, 2022)Üst ekstremite için kullanılan protezler ampütasyonun seviyesine göre farklılık arz ettiği gibi protezin hareket ettirilmesi için kullanılan yöntemler de çeşitlidir. Protezlerin kozmetik, omuz hareketine bağlı çalışan, ... -
Can Laws Be a Potential PET Image Texture Analysis Approach for Evaluation of Tumor Heterogeneity and Histopathological Characteristics in NSCLC?
Karacavus, Seyhan; Yılmaz, Bülent; Tasdemir, Arzu; Kayaaltı, Ömer; Kaya, Eser; İçer, Semra; Ayyıldız, Oguzhan (SPRINGER, 233 SPRING ST, NEW YORK, NY 10013 USA, 2018)We investigated the association between the textural features obtained from F-18-FDG images, metabolic parameters (SUVmax(,) SUVmean, MTV, TLG), and tumor histopathological characteristics (stage and Ki-67 proliferation ... -
Comparison of 3D texture features and metabolic parameters obtained from 18-F FDG-PET/CT images for evaluating tumor stage and subtype in non-small cell lung cancer
Karacavus, S.; Yılmaz, Bülent; Ayyildiz, Oğuzhan; Kayaalti, O.; Tasdemir, A.; Kaya, E.; İçer, Semra; Eset, K.; Vardareli, E.; Asyali, M. H. (SPRINGER, 2015).... -
A comprehensive study on automatic non-informative frame detection in colonoscopy videos
Kaçmaz, Rukiye Nur; Doğan, Refika Sultan; Yılmaz, Bülent (WILEY, 2024)Despite today's developing healthcare technology, conventional colonoscopy is still a gold-standard method to detect colon abnormalities. Due to the folded structure of the intestine and visual disturbances caused by ... -
Detection of Epileptic Seizures with Tangent Space Mapping Features of EEG Signals
Altındiş, Fatih; Yılmaz, Bülent (Institute of Electrical and Electronics Engineers Inc., 2021)Detection of epileptic seizures from EEG signals is well-studied topic for the last couple of decades. Lately, automated signal processing and machine learning methods were developed to detect epileptic seizures. However, ... -
Examining Tongue Movement Intentions in EEG-Based BCI with Machine and Deep Learning: An Approach for Dysphagia Rehabilitation
Aslan, Sevgi Gökçe; Yılmaz, Bülent (Sciendo, 2024)Dysphagia, a common swallowing disorder particularly prevalent among older adults and often associated with neurological conditions, significantly affects individuals' quality of life by negatively impacting their eating ... -
Histopathology image classification: highlighting the gap between manual analysis and AI automation
Doğan, Refika Sultan; Yılmaz, Bülent (FRONTIERS MEDIA SA, 2023)The field of histopathological image analysis has evolved significantly with the advent of digital pathology, leading to the development of automated models capable of classifying tissues and structures within diverse ... -
Improving short-term memory performance of healthy young males using alpha band neurofeedback
Gökşin, Barış; Yılmaz, Bülent; Icoz, Kutay (International Society for Neurofeedback and Research, 2019)To examine whether it was possible to improve short-term memory performance of healthy participants by increasing relative alpha band power (7–11.5 Hz) using neurofeedback, we first converted a commercial EEG device ... -
Kolon Polipleri için Kolonoskopi ve Histopatoloji Görüntülerinden Yapay Zekâ Destekli Prognostik Belirteç Tespiti
Yılmaz, Bülent; Akay, Ebru; Doğan, Serkan; Aydın, Zafer; Dogan, Refika Sultan; Yengec-Tasdemir, Sena Busra; Güzel, Ömer Faruk (ELEKTRİK, ELEKTRONİK VE ENFORMATİK ARAŞTIRMA DESTEK GRUBU GRUBU: EEEAG, 2023)Kolon kanseri vakalarının çoğu kolon mukozasında anormal hücre çoğalmasından kaynaklanan poliplerle başlar. Bu projede Kayseri Şehir Hastanesi gastroenteroloji kliniğine gelen 201 hastada tespit edilen poliplere dair ... -
Medical infrared thermal image based fatty liver classification using machine and deep learning
Ozdil, Ahmet; Yilmaz, Bulent (TAYLOR & FRANCIS LTD, 2023)Non-alcoholic fatty liver disease (NAFLD) causes accumulation of excess fat in the liver affecting people who drink little to no alcohol. Non-alcoholic steatohepatitis (NASH) is an aggressive form of fatty liver disease ... -
Motion artifact detection in colonoscopy images
Yılmaz, Bülent; Kaçmaz, Rukiye Nur; Dündar, Mehmet Sait; Doğan, Serkan (The EuroBiotech Journal, 2018)Computer-aided detection is an integral part of medical image evaluation process because examination of each image takes a long time and generally experts’ do not have enough time for the elimination of images with motion ... -
Mrd Biyoçip: Minimal Rezidüel Hastalığın Güvenilir ve Basit Bir Yolla İzlenmesi
İçöz, Kutay; Karakükçü, Musa; Özdemir, Mehmet Akif; Deniz, Günnur; Ünal, Ekrem; Çınar, Suzan; Küpesiz, Osman Alphan; Kaya, Zühre; Yılmaz, Bülent; Gerçek, Tayyibe; Akar, Ünal (TÜBİTAK, 2019)Türkiye Halk Sağlığı Kurumu verilerine göre Türkiye?de çocukluk çağında en sık görülen kanser türü lösemidir ve lösemi türleri arasında Akut Lenfoid Lösemi (ALL) 15 yaş altındaki çocuklarda gözlenen lösemilerin %80?inini ... -
Noise-Assisted Multivariate Empirical Mode Decomposition Based Emotion Recognition
Özel, Pınar; Akan, Aydın; Yılmaz, Bülent (ISTANBUL UNIV, FAC ENGINEERING, ELEKTRIK-ELEKTRONIK MUHENDISLIGI BOLUMU, AVCILAR KAMPUSU, ISTANBUL, 34320, TURKEY, 2018)Emotion state detection or emotion recognition cuts across different disciplines because of the many parameters that embrace the brain's complex neural structure, signal processing methods, and pattern recognition algorithms. ... -
Understanding Communication via Diffusion: Simulation Design and Intricacies
Acar, Bilal; Akkaya, Ali; Genc, Gaye; Yilmaz, H. Birkan; Kuran, M. Sukru; Tugcu, Tuna (SPRINGER INTERNATIONAL PUBLISHING AGGEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND, 2017)Understanding Communication via Diffusion (CvD) is key to molecular communications research since it dominates the movement at the nano-scale. The researcher needs to properly understand the random diffusion of the molecules ...
