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Toplam 70 adet sonuçtan 20 tanesi görüntülenmektedir.

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 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

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

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

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

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 Cervical Precursor Lesions via Local Histogram and Cell Morphometric Features

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, Vol. 27, No. 4, Ocak 2023, s. 11, ISSN: 2168-2194

ÇALIK NURULLAH, ALBAYRAK ABDÜLKADİR, AKHAN ASLI, TÜRKMEN İLKNUR, ÇAPAR ABDULKERİM, TÖREYİN BEHÇET UĞUR, BİLGİN GÖKHAN, MÜEZZİNOĞLU BAHAR, DURAK ATA LÜTFİYE

Behçet Uğur Töreyin Özgün Makale Lesions Image segmentation Histograms Feature extraction Convolutional neural networks Pathology Classification algorithms Cervical lesions cervix hemotoxylen and eosin local histogram features cell morphometric features Kullback-Leibler divergence

Landing page component classification with convolutional neural networks for online advertising

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

AYHAN GÜLŞAH,ŞENEL ÇAĞLA,URAN ZEYNEP EDA,TÖREYİN BEHÇET UĞUR

Behçet Uğur Töreyin Tam metin bildiri

Segmentation of precursor lesions in cervical cancer using convolutional neural networks

2017 25th Signal Processing and Communications Applications Conference (SIU), Antalya/TÜRKİYE, 15 Mayıs 2017

ALBAYRAK ABDÜLKADİR,ÜNLÜ ASLI,ÇALIK NURULLAH,BİLGİN GÖKHAN,TÜRKMEN İLKNUR,ÇAKIR ASLI,ÇAPAR ABDÜLKERİM,TÖREYİN BEHÇET UĞUR,DURAK ATA LÜTFİYE

Behçet Uğur Töreyin Tam metin bildiri

Segmentation of precursor lesions in cervical cancer using convolutional neural networks

2017 25th Signal Processing and Communications Applications Conference (SIU), Antalya/TÜRKİYE, 15 Mayıs 2017

ALBAYRAK ABDULKADİR,AKHAN ASLI,ÇALIK NURULLAH,BİLGİN GÖKHAN,TÜRKMEN İLKNUR,ÇAKIR ASLI,ÇAPAR ABDULKERİM,TÖREYİN BEHÇET UĞUR,DURAK ATA LÜTFİYE

Behçet Uğur Töreyin 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

Behçet Uğur Töreyin Özgün Makale Sayısal İşaret İşlemeGörüntü İşleme

Segmentation of precursor lesions in cervical cancer using convolutional neural networks

2017 25th Signal Processing and Communications Applications Conference (SIU), Antalya, Turkey/TÜRKİYE, 15 Mayıs 2017, s. 1-4

ALBAYRAK ABDÜLKADİR,AKHAN ASLI,ÇALIK NURULLAH,BİLGİN GÖKHAN,TÜRKMEN İLKNUR,ÇAKIR ASLI,ÇAPAR ABDULKERİM,TÖREYİN BEHÇET UĞUR,DURAK ATA LÜTFİYE

Behçet Uğur Töreyin Tam metin bildiri Digital Signal ProcessingDigital Image ProcessingHuman Computer InterfaceData Mining

Segmentation of precursor lesions in cervical cancer using convolutional neural networks

2017 25th Signal Processing and Communications Applications Conference (SIU), 15 Mayıs 2017

ALBAYRAK ABDÜLKADİR, ÜNLÜ ASLI, ÇALIK NURULLAH, BİLGİN GÖKHAN, TÜRKMEN İLKNUR, ÇAKIR ASLI, ÇAPAR ABDULKERİM, TÖREYİN BEHÇET UĞUR, DURAK ATA LÜTFİYE

Behçet Uğur Töreyin Tam metin bildiri

Accurate CNN-based pupil segmentation with an ellipse fit error regularization term

Expert Systems with Applications, Vol. 188, Şubat 2022, ISSN: 0957-4174

AKINLAR CÜNEYT, KÜÇÜKKARTAL HATİCE KÜBRA, TOPAL CİHAN

Cihan Topal Özgün Makale pupil segmentationconvolutional neural networksregularization termunet

Detecting visual design principles in art and architecture through deep convolutional neural networks

Automation in Construction, Vol. 130, Ekim 2021, ISSN: 0926-5805

DEMİR GÖZDENUR,KANAN ASLI,YEŞİLKAYNAK VAHİT BUĞRA,ÜNAL GÖZDE

Aslı Kanan Özgün Makale

Forecasting Energy Consumption in Smart Grids Using Convolutional Neural Networks

INTERNATIONAL GRADUATE RESEARCH SYMPOSIUM - IGRS’23At: Istanbul, Turkey, 2023, İstanbul/TÜRKİYE, No. 2, 16 Aralık 2024, s. 205-205

FADOUL FATHİ FARAH,ÇAĞLAR RAMAZAN

Ramazan Çağlar Özet Bildiri Derin ÖğrenmeOptimizaasyonSürdürülebilirlik

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

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