ARAMA SONUÇLARI

Toplam 294 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

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

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

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

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

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

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

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

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

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

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 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)

CNN-Based Deep Learning Architecture for Electromagnetic Imaging of Rough Surface Profiles

IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, Vol. 70, No. 10, Ocak 2022, s. 12, ISSN: 0018-926X

AYDIN İZDE, BUDAK GÜVEN, SEFER AHMET, YAPAR ALİ

Ali Yapar Özgün Makale Surface roughness Rough surfaces Imaging Surface waves Surface treatment Inverse problems Electromagnetics Convolutional neural network (CNN) deep learning (DL) electromagnetics (EMs) inverse scattering problems rough surface imaging

Recovery of impenetrable rough surface profiles via CNN-based deep learning architecture

INTERNATIONAL JOURNAL OF REMOTE SENSING, Vol. 43, Ocak 2022, s. 28, ISSN: 0143-1161

AYDIN İZDE, BUDAK GÜVEN, SEFER AHMET, YAPAR ALİ

Ali Yapar Özgün Makale Convolutional neural network deep learning inverse scattering problems rough surface imaging

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

Deep Learning-Aided Spatial Multiplexing with Index Modulation

3rd International Conference on Machine Learning for Networking (MLN’xx2020), 24 Kasım 2020

TURAN MERVE,ÖZTÜRK ERSİN,ÇIRPAN HAKAN ALİ

Hakan Ali Çırpan Tam metin bildiri

Short-term forecasting of wind power production using machine learning and deep learning methods

Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2018

FEYRUZ AKSOY

Ömer Usta Tez Yüksek Lisans Tamamlandı

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

Applied Intelligence, Ocak 2021, ISSN: 0924-669X

TUNA TURCAN, BEKE AYKUT, KUMBASAR TUFAN

Tufan Kumbasar Özgün Makale

Advances and Applications in Deep Learning Explainable Artificial Intelligence (xAI) Approaches and Deep Meta-Learning Models

2020, Intech Open

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