Pneumonia Detection and Classification Using Deep Learning on Chest X-Ray Images
International Journal of Intelligent Systems and Applications in Engineering, Vol. 8, No. 4, Ocak 2020, s. 177-183, ISSN: 2147-6799
DARICI MUAZZEZ BUKET,DOKUR ZÜMRAY,ÖLMEZ TAMER
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A deep learning method for fraud detection in financial systems
Proceedings of the 12th Conference on Security and Privacy in Wireless and Mobile Networks - WiSec ’xx19, Miami, Florida/AMERİKA BİRLEŞİK DEVLETLERİ, 15 Mayıs 2019, s. 298-299
ÖĞREK MAHMUT,ÖĞREK EYÜP,BAHTİYAR ŞERİF
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A Survey on Malware Detection with Deep Learning
SIN 2020: 13th International Conference on Security of Information and Networks, İstanbul/TÜRKİYE, Vol. 34, 4 Kasım 2020, s. 1-6
ŞAHİN MUHAMMET, BAHTİYAR ŞERİF
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Antenna Excitation Optimization with Deep Learning for Microwave Breast Cancer Hyperthermia
MDPI AG, Vol. 22, Ağustos 2022, ISSN: 1424-8220
YILDIZ GÜLŞAH, YAŞAR HALİMCAN, USLU İBRAHİM ENES, DEMİREL YUSUF, AKINCI MEHMET NURİ, YILMAZ ABDOLSAHEB TUBA, AKDUMAN İBRAHİM
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Microwave Dielectric Property Retrieval From Open-Ended Coaxial Probe Response With Deep Learning
Institute of Electrical and Electronics Engineers (IEEE), Vol. 10, Ocak 2022, ISSN: 2169-3536
AYDINALP CEMANUR, JOOF SÜLEYMAN, AKINCI MEHMET NURİ, AKDUMAN İBRAHİM, YILMAZ ABDOLSAHEB TUBA
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Antenna Array Optimization via Deep Learning For Breast Cancer Microwave Hyperthermia Application: Preliminary Results
2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/URSI), 10 Temmuz 2022
YILDIZ GÜLŞAH, YAŞAR HALİMCAN, USLU İBRAHİM ENES, DEMİREL YUSUF, JOOF SÜLEYMAN, AKINCI MEHMET NURİ, YILMAZ ABDOLSAHEB TUBA, AKDUMAN İBRAHİM
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A Guideline for Complex Permittivity Retrieval of Tissue-Mimicking Phantoms From Open-Ended Coaxial Probe Response With Deep Learning
Institute of Electrical and Electronics Engineers (IEEE), Vol. 70, Kasım 2022, ISSN: 0018-9480
JOOF SÜLEYMAN, AYDINALP CEMANUR, DİLMAN İSMAİL, AKINCI MEHMET NURİ, YILMAZ ABDOLSAHEB TUBA, ÇAYÖREN MEHMET, AKDUMAN İBRAHİM
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Using Deep Learning to Generate Front and Backyards in Landscape Architecture
10th ASCAAD Conference - Hybrid Space of the Metaverse: Architecture in the Age of the Metaverse, Opportunities and Potentials, Beirut/LÜBNAN, 12 Ekim 2022, s. 2-16, ISSN: 2079-4096
SENEM MEHMET O., KOÇ MUSTAFA, AS İMDAT
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Artificial intelligence in architecture: Generating conceptual design via deep learning
International Journal of Architectural Computing, Vol. 16, No. 4, Kasım 2018, s. 306-327, ISSN: 1478-0771
AS İMDAT, BASU PRİTHWİSH, PAL SİDDARTH
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Composing Frankensteins: Data-driven design assemblies through graph-based deep neural networks
107th ACSA Conference, Pittsburgh/AMERİKA BİRLEŞİK DEVLETLERİ, 28 Mart 2019
AS İMDAT, PAL SİDDARTH, BASU PRİTHWİSH
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A novel deep learning model based on convolutional neuralnetworks for employee churn prediction
JOURNAL OF FORECASTING, Vol. 41, No. 3, Eylül 2022, s. 539-550, ISSN: 0277-6693
PEKEL ÖZMEN EBRU, ÖZCAN TUNCAY
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Agent Based Route Planning with Deep Q Learning
13th INTERNATIONAL CONFERENCE on ELECTRICAL and ELECTRONICS ENGINEERING, Bursa/TÜRKİYE, 25 Kasım 2021
KÖROĞLU ALİ OSMAN, EDEM ALİ EMRE, AKMEŞE SERRA NUR, ELMAS ÖZGE, TUNÇ İLHAN, SÖYLEMEZ MEHMET TURAN
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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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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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Soil Moisture Prediction from Remote Sensing Images Coupled with Climate, Soil Texture and Topography via Deep Learning
REMOTE SENSING, Vol. 14, No. 21, Kasım 2022, s. 24, ISSN: 2072-4292
ÇELİK MEHMET FURKAN, IŞIK MUSTAFA SERKAN, YÜZÜGÜLLÜ ONUR, FAJRAOUİ NOURA, ERTEN ESRA
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A Survey on Shape-Constraint Deep Learning for Medical Image Segmentation
IEEE REVIEWS IN BIOMEDICAL ENGINEERING, Vol. 16, Ocak 2023, s. 16, ISSN: 1937-3333
BOHLENDER SİMON, ÖKSÜZ İLKAY, MUKHOPADHYAY ANİRBAN
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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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