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.
|
High-quality segmentation of low quality cardiac MR images using k-space artefact correction
MIDL 2019 - Medical Imaging with Deep Learning, Londra/İNGİLTERE, 8 Temmuz 2019
ÖKSÜZ İLKAY, CLOUGH JAMES R., BAİ WENJİA, RUİJSİNK BRAM, PUYOL-ANTON ESTHER, CRUZ GASTAO, PRİETO CLAUDİA, KİNG ANDREW P., SCHNABEL JULİA A.
|
Disease detection on the leaves of the tomato plants by using deep learning
Agro-Geoinformatics, 2017, Fairfax/AMERİKA BİRLEŞİK DEVLETLERİ, 7 Ağustos 2017, s. 1-1
DURMUŞ HALİL,GÜNEŞ ECE OLCAY,KIRCI MÜRVET
|
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
|
Order dispatching for an ultra-fast delivery service via deep reinforcement learning
Applied Intelligence, Ocak 2021, ISSN: 0924-669X
KAVUK ERAY MERT, TOSUN AYŞE, ÇEVİK MÜCAHİT, BOZANTA AYSUN, SONUÇ SİBEL BİLGE, TÜTÜNCÜ MEHMETCAN, KOŞUCU BİLGİN, BENER AYŞE
|
Sales Prediction with the Deep Learning Technique: A Case Study of Fast Food Sector
19th INTERNATIONAL SYMPOSIUM ON ECONOMETRICS, OPERATIONS RESEARCH AND STATISTICS, 17 Ekim 2018
ÖNER MAHİR,ÜSTÜNDAĞ ALP,GÜLOĞLU BÜLENT,GÜVEN MURAT
|
Vibration control of a pier pile using deep learning LSTM network
The Second International Conference on Applied Mathematics in Engineering (ICAME 2021), Balıkesir/TÜRKİYE, 1 Eylül 2021
BAYINDIR CİHAN, NAMLI BARIŞ
|
Analysis of Ophthalmic Disorders on Retinal Vessels Using Deep Learning Segmentation Methods
The Fourth International Symposium on Engineering, Artificial Intelligence and Applications (ISEAIA 2016), 2 Kasım 2016
ARIBAŞ ERKE,DAĞLARLI EVREN
|
A Spiking Neural Model of Cortical Tissue Using Deep Learning For a Humanoid Robot
IV. International Bioengineering Conference (BIOENG’16), 28 Ekim 2016
DAĞLARLI EVREN,ARIBAŞ ERKE
|
Human Action Recognition Using Deep Learning Methods on Limited Sensory Data
IEEE Sensors Journal, Vol. 20, No. 6, Mart 2020, s. 3101-3112, ISSN: 1530-437X
TÜFEK NİLAY,YALÇIN MURAT,ALTINTAŞ MÜCAHİT,KALAOĞLU FATMA,Yİ Lİ,KURŞUN BAHADIR SENEM
|
Comparative Analysis on Deep Learning based Pan-sharpening of Very High-Resolution Satellite Images
International Journal of Environment and Geoinformatics, Vol. 8, Ocak 2021, ISSN: 2148-9173
WANG PEİJUAN, ALGANCI UĞUR, SERTEL ELİF
|
Automatic Road Extraction from Historical Maps Using Deep Learning Techniques: A Regional Case Study of Turkey in a German World War II Map
ISPRS International Journal of Geo-Information, Vol. 10, No. 8, Temmuz 2021, ISSN: 2220-9964
EKİM BURAK, SERTEL ELİF, KABADAYI MUSTAFA ERDEM
|
Super-resolution of remotely sensed data using channel attention based deep learning approach
International Journal of Remote Sensing, Vol. 42, No. 16, Mayıs 2021, s. 6050-6067, ISSN: 0143-1161
WANG PEİJUAN, BAYRAM BÜLENT, SERTEL ELİF
|
Comparative Research on Deep Learning Approaches for Airplane Detection from Very High-Resolution Satellite Images
Remote Sensing, Vol. 12, No. 3, Şubat 2020, s. 458, ISSN: -
ALGANCI UĞUR,SOYDAŞ MEHMET,SERTEL ELİF
|
Robust object tracking by interleaving variable rate color particle filtering and deep learning
IEEE Int. Conference on Image Processing (ICIP), Pekin/ÇİN HALK CUMHURİYETİ, 17 Eylül 2017
AKOK BARIŞ,GÜRKAN FİLİZ,KAPLAN ONUR,GÜNSEL KALYONCU BİLGE
|
Preparing Dataset for Deep Learning Based Ship Detection
III. Global Conference on Innovation in Marine Technology and the Future of Maritime Transportation, İzmir/TÜRKİYE, 18 Nisan 2019, s. 66-81
GÖKÇEK VEYSEL,KOÇAK GAZİ
|
A Deep Learning Approach to Fault Detection and Classification in Datacenters
6. Ulusal Yüksek Başarımlı Hesaplama Konferansı - BAŞARIM 2020, 8 Ekim 2020
WİYSOBUNRİ BELTUS NKWAWİR, ERDEN HAMZA SALİH, TÖREYİN BEHÇET UĞUR
|
Automated Oral Cancer Screening: Detection and Classification of Oral Lesions Using Deep Learning to Detect Oral Potentially Malignant Disorders
Patent No: 63164594, 2021
ONUR ERGEN ,MUSTAFA ERGEN,MERVA SOLUK TEKKEŞİN,GİZEM TANRİVER
|
The Analytical Solutions and Deep Learning Assessment of Long Waves Over Linear and Nonlinear Breadth and Depth Profiles: 30 October 2020 İzmir Tsunami Case
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2024
ALİ RIZA ALAN
|
Multi-Label Classification Application for Environmental
Monitoring Applications with Deep Learning Approaches
20th International Symposium on Environmental Pollution and its Impact on Life in the Mediterranean Region, Atina/YUNANİSTAN, 26 Ekim 2020
ATİK ŞAZİYE ÖZGE, İPBÜKER CENGİZHAN
|