Interactive learning based nodule detection in ct lung volumes
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ÇAM İLKER, TEK FAİK BORAY
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Effect of synthetic CT on dose-derived toxicity predictors for MR-only prostate radiotherapy
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Segmentation of MR and CT images by using a quantiser neural network
NEURAL COMPUTING & APPLICATIONS, Vol. 11, No. 3-4, 2003
ÖLMEZ TAMER
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CT-Visible Doxorubicin-Eluting Clay Particles for Transarterial Catheter-Directed Drug Delivery
ISDC2018, 3 Ekim 2018
BEKAROĞLU MAİDE GÖKÇE,NURİLİ FUAD,İŞÇİ TURUTOĞLU SEVİM
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Proj2Proj: self-supervised low-dose CT reconstruction
PeerJ Computer Science, Vol. 10, Şubat 2024, ISSN: 2376-5992
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Development of a modular and open-sourcetomographic imaging software : enhancingthe reconstruction module for low-dose CT and dbt
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2024
SEMA ALTUN
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Synthesis of dye-conjugated PD-L1 targeted peptides for use in pet/ct in diagnosis of lung cancer
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SAADET YEŞİLMEN
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Low dose CT imaging for cancer diagnosis and therapy
FEN BİLİMLERİ ENSTİTÜSÜ, ABDULLAH GÜL ÜNİVERSİTESİ, 2018
ESRA SÜMER
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Self-supervised deep convolutional neural network training for low-dose CT reconstruction
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2022
MEHMET OZAN ÜNAL
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Effective dose estimation with IDAC and OLINDA programs for oncological PET/CT procedures
ENERJİ ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2024
FATMA HİLAL BİKİRLİ
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Lmm-iqa: image quality assessment for low-dose ct imaging
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2026
KAĞAN ÇELİK
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Modeling of magnetic nanoparticle concentration from CT images for cancer therapy using hyperthermia
FEN BİLİMLERİ ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2018
RASTIN ALABAF
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EVALUATION OF GEOMETRICAL DEVIATIONS AND POROSITIESON BOTH CFRP AND AISI 316L STEEL MATERIAL ON ADDITIVEMANUFACTURING
Additive Manufacturing Conference 2019, 17 Ekim 2019, s. 155-160
YEŞİLOVA AYSU HANDE,TİMUR AZMİ,BAKKAL MUSTAFA
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Field trials of RFID technology for tracking prefabricated pipe spools
International Symposium on Automation and Robotics in Construction, 21 Eylül 2004
SONG J, CALDAS C, ERGEN E, HAAS CT, AKİNCİ B,
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Automating the task of tracking the delivery and receipt of fabricated pipe spools in industrial project
Automation in construction, Vol. 15, No. 2, Mart 2006, s. 166-177
SONG J,HAAS CT,CALDAS C,ERGEN ESİN,AKİNCİ B
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A joint probability model for learning related neural activity and behavioral responses that accounts for learning and executive control an application of the Temporal Difference learning algorithm
2007 New England Statistics Symposium, U. of Connecticut, Storrs, CT, ABD., No. 1, 1 Mart 2007, s. 1
OKATAN MURAT
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Classification of MR and CT images using genetic algorithms
20th Annual International Conference of the IEEE-EMBS, Vol. 20, No. 3, 29 Ekim 1998, s. 1418-1421
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CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation
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Challenges in Micro-CT Characterization of Composites Micro-computed Tomography (micro-CT) in Medicine and Engineering
Istanbul/TÜRKİYE, 2020, s. 225-246, Springer
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Benchmarking Machine Learning and Deep Learning Models for Deepfake Detection in Lung CT Scans
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