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Toplam 401 adet sonuçtan 20 tanesi görüntülenmektedir.

Deep Learning-Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation

IEEE TRANSACTIONS ON MEDICAL IMAGING, Vol. 39, No. 12, Aralık 2020, s. 4001-4010, ISSN: 0278-0062

ÖKSÜZ İLKAY,CLOUGH JAMES R.,RUİJSİNK BRAM,PUYOL-ANTON ESTHER,BUSTİN AURELİEN,CRUZ GASTAO,PRİETO CLAUDİA,KİNG ANDREW P.,SCHNABEL JULİA A.

İlkay Öksüz Özgün Makale Image segmentationMotion segmentationBiomedical imagingImage reconstructionDeep learningTask analysisImage qualityImage qualityimage segmentationdeep learningcardiac MRIimage artefactsCONVOLUTIONAL NEURAL-NETWORKSIMAGE

Deep feature transfer from deep learning models into machine learning algorithms to classify COVID-19 from chest X-ray images

Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2021

OZAN GÜLDALİ

Gül İnan Tez Yüksek Lisans Tamamlandı

Cardiac MR Motion Artefact Correction from K-space Using Deep Learning-Based Reconstruction

MACHINE LEARNING FOR MEDICAL IMAGE RECONSTRUCTION, MLMIR 2018, Vol. 11074, No. null, 16 Eylül 2018, s. 21-29

ÖKSÜZ İLKAY,CLOUGH JAMES R.,BUSTİN AURELİEN,CRUZ GASTAO,PRİETO CLAUDİA,BOTNAR RENE,RUECKERT DANİEL,SCHNABEL JULİA A.,KİNG ANDREW P.

İlkay Öksüz Tam metin bildiri Cardiac MRImage reconstructionDeep learningUK BiobankImage artefactsImage qualityAutomapCONVOLUTIONAL NEURAL-NETWORKSINVERSE PROBLEMS

Deep-learning-based crack detection with applications for the structural health monitoring of gas turbines

STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, Vol. 19, No. 5, Ocak 2020, ISSN: 1475-9217

KHANİ MAHTAB MOHTASHAM, VAHİDNİA SAHAND, GHASEMZADEH LEİLA, YUVALAKLİOGLU MUSTAFA, OZTURK EREN, AKIN SELİM, ÜRE NAZIM KEMAL

Nazım Kemal Üre Özgün Makale Convolutional neural network CNN image processing crack detection gas turbine machine learning deep learning classification computer vision structural health monitoring

Combining predictive base models using deep ensemble learning

JOURNAL OF INTELLIGENT AND FUZZY SYSTEMS, Vol. 39, No. 5, Ocak 2020, s. 6657-6668, ISSN: 1064-1246

ÖNER MAHİR, ÜSTÜNDAĞ ALP

Alp Üstündağ Özgün Makale Deep Learning Ensemble LearningLSTM

Antenna Excitation Optimization with Deep Learning for Microwave Breast Cancer Hyperthermia

SENSORS, Vol. 22, No. 17, Ocak 2022, ISSN: 1424-8220

YILDIZ ALTINTAŞ GÜLŞAH, YAŞAR HALİM, USLU İBRAHİM ENES, DEMİREL YUSUF, AKINCI MEHMET NURİ, YILMAZ ABDOLSAHEB TUBA, AKDUMAN İBRAHİM

Gülşah Yıldız Altıntaş Özgün Makale antenna excitation optimization breast cancer deep learning energy focus microwave hyperthermia hyperthermia treatment planning

Predicting the ocean currents using deep learning

Journal of Applied and Engineering Mathematics, Vol. 13, No. 1, Ocak 2023, s. 373-385, ISSN: 2146-1147

BAYINDIR CİHAN

Cihan Bayındır Özgün Makale Deep LearningOcean Currents

A Guideline for Complex Permittivity Retrieval of Tissue-Mimicking Phantoms From Open-Ended Coaxial Probe Response With Deep Learning

Institute of Electrical and Electronics Engineers (IEEE), Vol. 70, No. 11, Kasım 2022, ISSN: 0018-9480

JOOF SULAYMAN, AYDINALP CEMANUR, DİLMAN İSMAİL, AKINCI MEHMET NURİ, YILMAZ ABDOLSAHEB TUBA, AKDUMAN İBRAHİM, ÇAYÖREN MEHMET

Cemanur Aydınalp Özgün Makale Admittance model complex permittivityDebye parameters deep learning

Ship Detection From Optical Satellite Images With Deep Learning

2019 9TH INTERNATIONAL CONFERENCE ON RECENT ADVANCES IN SPACE TECHNOLOGIES (RAST), No. null, 11 Haziran 2019, s. 479-484

KARTAL MESUT,DUMAN OSMAN

Mesut Kartal Tam metin bildiri ship detectionoptical satellite imagedeep learningtensorflowpythonartificial neural networks

Deep learning frameworks to learn prediction and simulation focused control system models

Springer Science and Business Media LLC, Vol. 52, No. 1, Ocak 2022, ISSN: 0924-669X

TUNA TURCAN, BEKE AYKUT, KUMBASAR TUFAN

Tufan Kumbasar Özgün Makale Nonlinear system identification Time series prediction Deep learning Autoencoders LSTM

A Guideline for Complex Permittivity Retrieval of TissueMimicking Phantoms From OpenEnded Coaxial Probe Response With Deep Learning

IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, Vol. 70, No. 11, Ekim 2022, s. 5105-5115, ISSN: 0018-9480

JOOF SULAYMAN, AYDINALP CEMANUR, DİLMAN İSMAİL, AKINCI MEHMET NURİ, YILMAZ ABDOLSAHEB TUBA, ÇAYÖREN MEHMET, AKDUMAN İBRAHİM

Mehmet Çayören Özgün Makale Admittance model complex permittivity (CP) Debye parameters deep learning openended coaxial probe (OECP)

VHRShips: An Extensive Benchmark Dataset for Scalable Deep Learning-Based Ship Detection Applications

ISPRS International Journal of Geo-Information, Vol. 11, No. 8, Ağustos 2022, ISSN: 2220-9964

KIZILKAYA SERDAR, ALGANCI UĞUR, SERTEL ELİF

Uğur Algancı Özgün Makale deep learningoptical satellite imageship classificationend-to-end approachdatasetNETWORKCLASSIFICATIONIMAGES

Deep learning-based framework for real-time transient stability prediction under stealthy data integrity attacks

ELECTRIC POWER SYSTEMS RESEARCH, Vol. 221, Ocak 2023, s. 12, ISSN: 0378-7796

KESİCİ MERT, MOHAMMADPOURFARD MOSTAFA, AYGÜL KEMAL, GENÇ VEYSEL MURAT İSTEMİHAN

Veysel Murat İstemihan Genç Özgün Makale Transient stability prediction Cyber-security False data injection Wide area measurements Deep learning

Microwave Dielectric Property Retrieval From Open-Ended Coaxial Probe Response With Deep Learning

IEEE ACCESS, Vol. 10, Ocak 2022, s. 12, ISSN: 2169-3536

AYDINALP CEMANUR, JOOF SULAYMAN, AKINCI MEHMET NURİ, AKDUMAN İBRAHİM, YILMAZ ABDOLSAHEB TUBA

İbrahim Akduman Özgün Makale Admittance model complex permittivity deep learning Debye parameters open-ended coaxial probe

Antenna Excitation Optimization with Deep Learning for Microwave Breast Cancer Hyperthermia

SENSORS, Vol. 22, No. 17, Kasım 2022, s. 15, ISSN: 1424-8220

AKDUMAN İBRAHİM, ALTINTAŞ GÜLŞAH, YAŞAR HALİMCAN, USLU İBRAHİM ENES, DEMİREL YUSUF, AKINCI MEHMET NURİ, YILMAZ ABDOLSAHEB TUBA

İbrahim Akduman Özgün Makale antenna excitation optimization breast cancer deep learning energy focus microwave hyperthermia hyperthermia treatment planning

Deep learning for assessing image quality in bi-parametric prostate MRI: A feasibility study

EUROPEAN JOURNAL OF RADIOLOGY, Vol. 165, Ocak 2023, s. 7, ISSN: 0720-048X

ALİŞ DENİZ CAN, KARTAL MUSTAFA SAİD, GÜRÖZ BATUHAN, BAŞAR YELİZ, ARSLAN AYDAN, ŞİROLU SABRİ, KURTCAN SERPİL, DENİZOĞLU NURPER, TÜZÜN ÜMİT, YILDIRIM DÜZGÜN, ÖKSÜZ İLKAY, KARAARSLAN ERCAN

İlkay Öksüz Özgün Makale Deep Learning Prostate MRI Image quality

Deep Learning-Based Meniscus Tear Detection From Accelerated MRI

IEEE ACCESS, Vol. 11, Ocak 2023, s. 15, ISSN: 2169-3536

HARMAN FATMA, SELVER MUSTAFA ALPER, BARIŞ MUSTAFA MAHMUT, CANTÜRK ALİ, ÖKSÜZ İLKAY

İlkay Öksüz Özgün Makale MRI reconstruction meniscal tear detection and deep learning

A new distributed anomaly detection approach for log IDS management based on deep learning

TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, Vol. 29, No. 5, Ocak 2021, s. 2486-2501, ISSN: 1300-0632

ZAİM ABDÜL HALİM, AYDIN MUHAMMED ALİ, SERTBAŞ AHMET

Abdül Halim Zaim Özgün Makale Big DataDeep LearningCyber SecurityLog IDSSparkCUDANETWORKS

An Efficient Ensemble Deep Learning Approach for Semantic Point Cloud Segmentation Based on 3D Geometric Features and Range Images

SENSORS, Vol. 22, No. 16, Ağustos 2022, s. 6210, ISSN: 1424-8220

ATİK MUHAMMED ENES, DURAN ZAİDE

Muhammed Enes Atik Özgün Makale autonomous driving deep learning light detection and ranging (LiDAR) point cloud semantic segmentation

A deep learning approach to analyse ship inspection reports via natural language processing integrated with artificial neural network

Journal of Marine Engineering & Technology, Mayıs 2024, ISSN: 2046-4177

BİÇEN SAMET,ÇELİK METİN

Samet Biçen Özgün Makale Deep learning approach ship inspection natural language processing artificial neural network classifier marine root cause analysis tool

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