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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
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.
Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning
MEDICAL IMAGE ANALYSIS, Vol. 55, No. null, Temmuz 2019, s. 136-147, ISSN: 1361-8415
ÖKSÜZ İLKAY,RUİJSİNK BRAM,PUYOL-ANTON ESTHER,CLOUGH JAMES R.,CRUZ GASTAO,BUSTİN AURELİEN,PRİETO CLAUDİA,BOTNAR RENE,RUECKERT DANİEL,SCHNABEL JULİA A.,KİNG ANDREW P.
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
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
Lütfiye Durak Ata Tam metin bildiri
A Survey in Deep Convolutional Neural Networks for Diagnosis of Dieases
BdKCSE’xx2017 International Conference on7-8 December 2017, Sofia, Bulgaria Big Data, Knowledge and Control Systems Engineering, 7 Aralık 2017
NOĞAY HIDIR SELÇUK,AKINCI TAHİR ÇETİN,ÖNAL ŞÜKRAN EMEL
Şükran Emel Önal Tam metin bildiri
Turkish lira banknotes classification using deep convolutional neural networks
2018 26th Signal Processing and Communications Applications Conference (SIU), 2 Mayıs 2018
BAYKAL GÜLÇİN,DEMİR UĞUR,SHYTI IRA,ÜNAL GÖZDE
Gözde Ünal Tam metin bildiri
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
Gözde Ünal Tam metin bildiri
Turkish lira banknotes classification using deep convolutional neural networks
2018 26th Signal Processing and Communications Applications Conference (SIU), Izmir/TÜRKİYE, 2 Mayıs 2018
BAYKAL GÜLÇİN,DEMİR UĞUR,SHYTİ İRA,ÜNAL GÖZDE
Gözde Ünal Tam metin bildiri
Classification of brain tissues as lesion or healthy by 3D convolutional neural networks
2017 25th Signal Processing and Communications Applications Conference (SIU), Antalya, Turkey/TÜRKİYE, 15 Mayıs 2017
AYDOĞDU CEM YUSUF,ALBAY ENES,ÜNAL GÖZDE
Gözde Ünal 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
Single-frame super resolution of remote-sensing images by convolutional neural networks
International Journal of Remote Sensing, Vol. 39, No. 8, Ocak 2018, s. 2463-2479, ISSN: 0143-1161
TUNA ÇAĞLAYAN,ÜNAL GÖZDE,SERTEL ELİF
Elif Sertel Özgün Makale
Wide Area Measurement Based Online Monitoring and Event Detection Using Convolutional Neural Networks
2019 7th International Istanbul Smart Grids and Cities Congress and Fair (ICSG), 25 Nisan 2019, s. 223
KESİCİ MERT,SANER CAN BERK,MAHDİ MOHAMMED,YASLAN YUSUF,GENÇ VEYSEL MURAT İSTEMİHAN
Cost Sensitive Class-Weighting Approach for Transient Instability Prediction Using Convolutional Neural Networks
11th INTERNATIONAL CONFERENCE onELECTRICAL and ELECTRONICS ENGINEERING, 28 Kasım 2019
KESİCİ MERT,SANER CAN BERK,YASLAN YUSUF,GENÇ VEYSEL MURAT İSTEMİHAN
Veysel Murat İstemihan Genç Tam metin bildiri
A Transient Stability Prediction Method based on Multi-Channel Convolutional Neural Networks Using Time Series of PMU Measurements
11th INTERNATIONAL CONFERENCE onELECTRICAL and ELECTRONICS ENGINEERING, 28 Kasım 2019
MOARREF NAZANİN,JAFARZADEH SEVDA,YASLAN YUSUF,GENÇ VEYSEL MURAT İSTEMİHAN
Veysel Murat İstemihan Genç Tam metin bildiri
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
Code Clone Detection with Convolutional Neural Networks
International Journal of Informatics Technologies, Vol. 13, No. 1, Ocak 2020, s. 1-12, ISSN: 1307-9697
DİŞLİ HARUN,TOSUN AYŞE
Ayşe Tosun Kühn Özgün Makale
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
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.
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.

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