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.
|
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
|
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.
|
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
|
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
|
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
|
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
|
Short-term forecasting of wind power production using machine learning and deep learning methods
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2018
FEYRUZ AKSOY
|
An Approximation for A Relative Crop Yield Estimate from Field Images Using Deep Learning
2019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics), 16 Temmuz 2019
YALÇIN HÜLYA
|
Plant phenology recognition using deep learning: Deep-Pheno
2017 6th International Conference on Agro-Geoinformatics, 7 Ağustos 2017
YALÇIN HÜLYA
|
Phenology recognition using deep learning
2018 Electric Electronics, Computer Science, Biomedical Engineerings’xx Meeting (EBBT), 18 Nisan 2018
YALÇIN HÜLYA
|
Phenology recognition using deep learning: DeepPheno
2018 26th Signal Processing and Communications Applications Conference (SIU), 2 Mayıs 2018
YALÇIN HÜLYA
|
Deep learning based autonomous direction estimation
2016 24th Signal Processing and Communication Application Conference (SIU), 16 Mayıs 2016
YALÇIN HÜLYA,CILASUN HUSREV
|
A deep learning approach to EEG based epilepsy seizure determination
2016 24th Signal Processing and Communication Application Conference (SIU), 16 Mayıs 2016
CILASUN HUSREV,YALÇIN HÜLYA
|
Partial Discharge Pattern Classification based on Deep Learning for Defect Identification in MV Cable Terminations
ICHVE2020, 6 Eylül 2020
ÜÇKOL HALİL İBRAHİM, İLHAN SUAT, ÖZDEMİR AYDOĞAN
|
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
|
Capturing Uncertainty with Interval Fuzzy Logic Systems through Composite Deep Learning
IEEE International Conference on Fuzzy Systems, 11 Temmuz 2021
BEKE AYKUT, KUMBASAR TUFAN
|
Motion Planning and Control with Randomized Payloads Using Deep Reinforcement Learning
2019 Third IEEE International Conference on Robotic Computing (IRC), 25 Şubat 2019
DEMİR ALİ,SEZER VOLKAN
|
Intersection Navigation Under Dynamic Constraints Using Deep Reinforcement Learning
6th International Conference on Control Engineering Information Technology, 25 Ekim 2018
DEMİR ALİ,SEZER VOLKAN
|
Video action classification by deep learning
2017 25th Signal Processing and Communications Applications Conference (SIU), 15 Mayıs 2017
ERGÜN ESRA,GÜRKAN FİLİZ,KAPLAN ONUR,GÜNSEL KALYONCU BİLGE
|