ARAMA SONUÇLARI

Toplam 76 adet sonuçtan 20 tanesi görüntülenmektedir.

A multi-fidelity prediction framework with convolutional neural networks using high-dimensional data

LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2022

HÜSEYİN EMRE TEKASLAN

Melike Nikbay Tez Yüksek Lisans Tamamlandı

Data-Driven Strategies for Improving Railway Ticket Demand Forecasting Accuracy

2024 IEEE 16th International Conference on Computational Intelligence and Communication Networks (CICN), 22 Aralık 2024

SHAYEA IBRAHEEM ABDULLAH MOHAMMED

Ibraheem Abdullah Mohammed Shayea Tam metin bildiri Measurement Accuracy Time series analysis Transportation Demand forecasting Predictive models Prediction algorithms Rail transportation Convolutional neural networks Long short term memory

Channel Attention Networks for Robust MR Fingerprint Matching

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, Vol. 69, No. 4, Ocak 2022, s. 8, ISSN: 0018-9294

SOYAK REFİK, NAVRUZ EBRU, RSOY EDA ÖZGÜ E, CRUZ GASTAO, PRİETO CLAUDİA, KİNG ANDREW P., ÜNAY DEVRİM, ÖKSÜZ İLKAY

İlkay Öksüz Özgün Makale Dictionaries Computer architecture Image reconstruction Convolutional neural networks Convolution Testing Principal component analysis Channel attention deep learning MR fingerprinting reconstruction

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

Detection and correction of cardiac MRI motion artefacts during reconstruction from k-space

MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2019, Vol. 11767, 13 Ekim 2019, s. 695, ISSN: 16113349 03029743

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

İlkay Öksüz Tam metin bildiri UK BiobankMotion artefactsImage reconstructionConvolutional neural networksCardiac MR

Left-Ventricle Quantification Using Residual U-Net

International Workshop on Statistical Atlases and Computational Models of the Heart (STACOM) 2018, Vol. 11395, 16 Eylül 2018, s. 371, ISSN: 16113349 03029743

KERFOOT ERİC,CLOUGH JAMES R.,ÖKSÜZ İLKAY,LEE JACK,KİNG ANDREW P.,SCHNABEL JULİA A.

İlkay Öksüz Tam metin bildiri Convolutional neural networksCardiac quantificationCardiac MR

AUTOMATIC LEFT VENTRICULAR OUTFLOW TRACT CLASSIFICATION FOR ACCURATE CARDIAC MR PLANNING

2018 IEEE 15TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2018), No. null, 4 Nisan 2018, s. 462-465

ÖKSÜZ İLKAY,RUİJSİNK BRAM,PUYOL-ANTON ESTHER,SİNCLAİR MATTHEW,RUECKERT DANİEL,SCHNABEL JULİA A.,KİNG ANDREW P.

İlkay Öksüz Tam metin bildiri Cardiac MRImage Quality AssessmentUK BiobankLVOTConvolutional Neural Networks

Deep Learning Using K-Space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection

MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2018, Vol. 11070, No. null, 16 Eylül 2018, s. 250-258

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

İlkay Öksüz Tam metin bildiri Cardiac MRImage quality assessmentMotion artefactsUK BiobankConvolutional Neural Networks

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

Brain MRI artefact detection and correction using convolutional neural networks

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, Vol. 199, Şubat 2021, s. 105909, ISSN: 0169-2607

ÖKSÜZ İLKAY

İlkay Öksüz Özgün Makale

A convolutional neural networks oriented approach for voxel-based 3D object classification

2018 26th Signal Processing and Communications Applications Conference (SIU), Izmir, Turkey/TÜRKİYE, 2 Mayıs 2018

SIRMA RIDVAN,DİNAR BERKAN,ŞAHİN YUSUF HÜSEYİN,ÜNAL GÖZDE

Yusuf Hüseyin Şahin Tam metin bildiri

Classification of skin lesions using convolutional neural networks

PAMUKKALE UNIVERSITY JOURNAL OF ENGINEERING SCIENCES-PAMUKKALE UNIVERSITESI MUHENDISLIK BILIMLERI DERGISI, Vol. 28, No. 2, Ocak 2022, s. 7, ISSN: 1300-7009

BİLGİNER ONUR, TUNGA BURCU, DEMİRER RÜŞTÜ MURAT

Burcu Tunga Özgün Makale Classifications of skin lesions Hilbert transform High dimensional model representation

Classification of brain strokes using divergence-based convolutional neural networks

BIOMEDICAL SIGNAL PROCESSING AND CONTROL, Vol. 93, No. 106193, Ocak 2024, s. 1-10, ISSN: 1746-8094

POLAT ÖZLEM,DOKUR ZÜMRAY,ÖLMEZ TAMER

Zümray Ölmez Özgün Makale

Motor Imagery Based EEG Classification by Using Common Spatial Patterns and Convolutional Neural Networks

2019 Scientific Meeting on Electrical-Electronics Biomedical Engineering and Computer Science (EBBT), Istanbul/TÜRKİYE, 24 Nisan 2019

KORHAN NURİ,ÖLMEZ ZÜMRAY,ÖLMEZ TAMER

Zümray Ölmez Tam metin bildiri

A Multifidelity Prediction with Convolutional Neural Networks using High-dimensional Data

2022 AIAA Aviation Forum, Chicago/AMERİKA BİRLEŞİK DEVLETLERİ, 27 Haziran 2022

TEKASLAN HÜSEYİN EMRE, NİKBAY MELİKE

Melike Nikbay Tam metin bildiri supersonicneural network

Multifidelity Prediction Framework with Convolutional Neural Networks Using High-Dimensional Data

American Institute of Aeronautics and Astronautics (AIAA) Journal of Aerospace Information Systems, Vol. 20, No. 5, Mayıs 2023, ISSN: 1940-3151

TEKASLAN HÜSEYİN EMRE, NİKBAY MELİKE

Melike Nikbay Özgün Makale

Restoring Fluorescence Microscopy Images by Transfer Learning From Tailored Data

IEEE ACCESS, Vol. 10, Ocak 2022, s. 18, ISSN: 2169-3536

DEMİRCAN TÜREYEN EZGİ, PATLAR AKBULUT FATMA, KAMAŞAK MUSTAFA ERSEL

Mustafa Ersel Kamaşak Özgün Makale Fluorescence Microscopy Noise reduction Image restoration Training Transforms Frequency modulation Bioimaging convolutional neural networks fluorescence microscopy image denoising mixed Poisson-Gaussian model transfer learning

Motor Imagery Based EEG Classification by Using Common Spatial Patterns and Convolutional Neural Networks

2019 Scientific Meeting on Electrical-Electronics Biomedical Engineering and Computer Science (EBBT), Istanbul/TÜRKİYE, 24 Nisan 2019

KORHAN NURİ,ÖLMEZ ZÜMRAY,ÖLMEZ TAMER

Tamer Ölmez Tam metin bildiri

Classification of pediatric snoring episodes using deep convolutional neural networks

2018 26th Signal Processing and Communications Applications Conference (SIU), 2 Mayıs 2018

CİVANER OZAN FIRAT,KAMAŞAK MUSTAFA ERSEL

Mustafa Ersel Kamaşak Tam metin bildiri

Metaphase finding with deep convolutional neural networks

Biomedical Signal Processing and Control, Vol. 52, Temmuz 2019, s. 353-361, ISSN: 1746-8094

MOAZZEN YASER,ÇAPAR ABDULKERİM,ALBAYRAK ABDÜLKADİR,ÇALIK NURULLAH,TÖREYİN BEHÇET UĞUR

Abdulkerim Çapar Özgün Makale Sayısal İşaret İşlemeGörüntü İşleme

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