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
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DeepMQ: A Deep Learning Approach Based Myelin Quantification in Microscopic Fluorescence Images
2018 26th European Signal Processing Conference (EUSIPCO), 3 Eylül 2018
ÇAPAR ABDULKERİM,ÇİMEN YETİŞ SİBEL,TÖREYİN BEHÇET UĞUR,KERMAN BİLAL ERSEN
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ANALYSIS OF OPHTHALMIC DISORDERS ON RETINAL VESSELS USING DEEP LEARNING SEGMENTATION METHODS
INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN INFORMATION SYSTEMS AND ENGINEERING (IJSRISE), Vol. 3, No. 2, Ağustos 2017, s. 1-4, ISSN: 2380-8128
ARIBAŞ ERKE,DAĞLARLI EVREN
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Partial Discharge Pattern Classification based on Deep Learning for Defect Identification in MV Cable Terminations
2020 IEEE International Conference on High Voltage Engineering and Application (ICHVE), 6 Eylül 2020
UCKOL HALİL IBRAHİM,İLHAN SUAT,ÖZDEMİR AYDOĞAN
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Explicit Topological Priors for Deep-Learning Based Image Segmentation Using Persistent Homology
INFORMATION PROCESSING IN MEDICAL IMAGING, IPMI 2019, 2 Haziran 2019
CLOUGH JAMES R.,ÖKSÜZ İLKAY,BRYNE NİCHOLAS,SCHNABEL JULİA A.,KİNG ANDREW P.
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Deep learning for rectal spacer stratification in prostate boost radiotherapy
European Society for Radiotherapy & Oncology Conference ESTRO 2020, Viyana/AVUSTURYA, 29 Kasım 2020
THOMAS CHRİSTOPHER, ÖKSÜZ İLKAY, KİNG ANDREW P., GUERRERO-URBANO TERESA, GREENER ANTONY, DREGELY ISABEL, BARRİNGTON SALLY
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Prediction of voxelwise mandibular osteoradionecrosis maps in HNC patients using deep learning
European Society for Radiotherapy & Oncology Conference ESTRO 2019, Milan/İTALYA, 26 Nisan 2019
HUMBERT-VİDAN LAİA, ÖKSÜZ İLKAY, PATEL VİNOD, ADJOGATSE DELALİ, KİNG ANDREW P., RBANO TERESA GUERRERO U
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Deep learning for rectal spacer stratification in prostate boost radiotherapy
ESTRO 2020 European Society for Therapeutic Radiology and Oncology Meeting, Viyana/AVUSTURYA, 28 Kasım 2020
THOMAS CHRİSTOPHER, DREGELY ISABEL, ÖKSÜZ İLKAY, RBANO TERESA GUERRERO U, GREENER ANTONY, KİNG ANDREW P., BARRİNGTON SALLY
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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.
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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.
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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
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A Spiking Neural Model of Cortical Tissue Using Deep Learning For a Humanoid Robot
IV. International Bioengineering Conference (BIOENG’16), 30 Ekim 2016
DAĞLARLI EVREN,ARIBAŞ ERKE
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Strengths and weaknesses of deep learning models for face recognition against image degradations
IET Biometrics, Vol. 7, No. 1, Ocak 2018, s. 81-89, ISSN: 2047-4938
GRM KLEMEN,STRUC VİTOMİR,ARTİGES ANAİS,CARON MATTHİEU,EKENEL HAZIM KEMAL
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A Deep Learning-Based Pipeline for Teaching Control Theory: Transforming Feedback Control Systems on Whiteboard Into MATLAB
IEEE Access, Vol. 8, Ocak 2020, s. 84631-84641, ISSN: 2169-3536
ERDEM DORUKHAN,BEKE AYKUT,KUMBASAR TUFAN
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Learning with Type-2 Fuzzy activation functions to improve the performance of Deep Neural Networks
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, Vol. 85, Ekim 2019, s. 372-384, ISSN: 0952-1976
BEKE AYKUT,KUMBASAR TUFAN
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A Topological Loss Function for Deep-Learning based Image Segmentation using Persistent Homology
IEEE Transactions on Pattern Analysis and Machine Intelligence, Eylül 2021, ISSN: 1939-3539
CLOUGH JAMES R., BYRNE NİCHOLAS, ÖKSÜZ İLKAY, ZİMMER VERONİKA A., SCHNABEL JULİA A., KİNG ANDREW P.
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Electricity Price Forecasting Using Recurrent Neural Networks
ENERGIES, Vol. 11, No. 5, Mayıs 2018, ISSN: 1996-1073
UĞURLU UMUT,ÖKSÜZ İLKAY,TAŞ OKTAY
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Cell Segmentation of 2D Phase-Contrast Microscopy Images with Deep Learning Method
2019 Medical Technologies Congress (TIPTEKNO), Izmir, Turkey/TÜRKİYE, 3 Ekim 2019
AYANZADEH AYDIN,YAĞAR HÜSEYİN ONUR,ÖZUYSAL ÖZDEN YALÇIN,OKVUR DEVRİM PESEN,TÖREYİN BEHÇET UĞUR,ÜNAY DEVRİM,ÖNAL SEVGİ
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A deep learning based approach for classification of CerbB2 tumor cells in breast cancer
2017 25th Signal Processing and Communications Applications Conference (SIU), 15 Mayıs 2017
TATAROĞLU GÖZDE, GENÇ ANIL, KABAKÇI KAAN, ÇAPAR ABDULKERİM, TÖREYİN BEHÇET UĞUR, EKENEL HAZIM KEMAL, TÜRKMEN İLKNUR, ÇAKIR ASLI
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DeepMQ: A Deep Learning Approach Based Myelin Quantification in Microscopic Fluorescence Images
European Signal Processing Conference (EUSIPCO), 3 Eylül 2018
ÇİMEN YETİŞ SİBEL, ÇAPAR ABDULKERİM, EKİNCİ DURSUN ALİ, AYTEN UMUT ENGİN, KERMAN BİLAL ERSEN, TÖREYİN BEHÇET UĞUR
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