Výsledky vyhledávání - "Arbis Subjects::Engineering and Technology::Biomedical Engineering::Biomedical Image Processing"

Collective anomaly detection in time series using pitch frequency and dissimilarity features ; Pitch frekansı ve benzeşmezlik öznitelikleri kullanılarak zaman serilerinde kollektif anomali tespiti

Autoři: Erkuş, Ekin Can Purutçuoğlu Gazi, Vilda Eken, Aykut a další

Přispěvatelé: Erkuş, Ekin Can Purutçuoğlu Gazi, Vilda Eken, Aykut a další

Témata: anomaly detection, time series, pitch frequency, dissimilarity, sliding windows, Arbis Subjects::Engineering and Technology, Arbis Subjects::Engineering and Technology::Biomedical Engineering, Arbis Subjects::Engineering and Technology::Biomedical Engineering::Biomedical Image Processing, Arbis Subjects::Engineering and Technology::Biomedical Engineering::Biomedical Image Processing::Other, Arbis Subjects::Engineering and Technology::Biomedical Engineering::Biosignal Processing, Arbis Subjects::Engineering and Technology::Biomedical Engineering::Biosignal Processing::Biosignal Processing, Arbis Subjects::Engineering and Technology::Biomedical Engineering::Other, Arbis Subjects::Engineering and Technology::Biomedical Engineering::Clinical Engineering::Clinical Engineering, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition, Arbis Subjects::Engineering and Technology::Computer Sciences::Algorithms::Computational Model, Computer Learning and Pattern Recognition::Computer Learning, Computer Learning and Pattern Recognition::Knowledge Engineering, Computer Learning and Pattern Recognition::Pattern Recognition and Image Processing, Arbis Subjects::Engineering and Technology::Computer Sciences::Bioinformatics::Biocomputing, Arbis Subjects::Natural Sciences::Statistics::Statistical Analysis and Applications

Popis souboru: application/pdf

Relation: https://hdl.handle.net/11511/104738

Dostupnost: https://hdl.handle.net/11511/104738

Improvement of Electrocardiographic Imaging Reconstructions: A Physics-guided AI Approach and an Efficient Method for Training Data Reduction ; ELEKTROKARDİYOGRAFİK GÖRÜNTÜLEME GERİÇATIMLARININ İYİLEŞTİRİLMESİ: FİZİK TABANLI YAPAY ZEKA YAKLAŞIMI VE EĞİTİM VERİSİNİN İNDİRGENMESİ İÇİN ETKİN BİR YÖNTEM

Autoři: Uğurlu, Kutay Serinağaoğlu Doğrusöz, Yeşim Department of Electrical and Electronics Engineering

Přispěvatelé: Uğurlu, Kutay Serinağaoğlu Doğrusöz, Yeşim Department of Electrical and Electronics Engineering

Témata: Electrocardiographic imaging, Deep learning, Neural networks, Training data, Bayesian MAP, Arbis Subjects::Engineering and Technology, Arbis Subjects::Engineering and Technology::Biomedical Engineering::Biosignal Processing, Arbis Subjects::Engineering and Technology::Biomedical Engineering::Biomedical Image Processing, Arbis Subjects::Engineering and Technology::Computer Sciences::Artificial Intelligence, Computer Learning and Pattern Recognition

Popis souboru: application/pdf

Relation: https://hdl.handle.net/11511/105244

Dostupnost: https://hdl.handle.net/11511/105244

A TECHNICAL FRAMEWORK FOR GROUP STUDIES OF DIFFUSION TENSOR IMAGING ; GRUP ÇALIŞMALARI İÇİN DIFÜZYON TENSÖRÜ GÖRÜNTÜLEME ALTYAPISI

Autoři: METIN, Mehmet Ozer Son, Yeşim Aydın Gökçay, Didem a další

Přispěvatelé: METIN, Mehmet Ozer Son, Yeşim Aydın Gökçay, Didem a další

Témata: Diffusion tensor imaging, group based dti analysis, directional statistics, Arbis Subjects::Engineering and Technology, Arbis Subjects::Engineering and Technology::Biomedical Engineering::Biomedical Image Processing

Popis souboru: application/pdf

Relation: https://hdl.handle.net/11511/98786

Dostupnost: https://hdl.handle.net/11511/98786

Automatic segmentation of mitochondria in scanning electron microscopy images ; Taramalı electron mikroskobu görüntülerinde mitokondrilerin otomatik olarak bölütlenmesi

Autoři: Güven, Mehmet Çağrı Mumcuoğlu, Ünal Erkan Department of Information Systems

Přispěvatelé: Güven, Mehmet Çağrı Mumcuoğlu, Ünal Erkan Department of Information Systems

Témata: Mitochondria segmentation, Scanning electron microscopy, Ridge detection, Curve fitting, Snake-based shape extraction, Arbis Subjects::Engineering and Technology, Arbis Subjects::Engineering and Technology::Biomedical Engineering, Arbis Subjects::Engineering and Technology::Biomedical Engineering::Biomedical Image Processing

Popis souboru: 78 Pages; application/pdf

Relation: https://hdl.handle.net/11511/93061

Dostupnost: https://hdl.handle.net/11511/93061

Improving Current Density Recovery and Magnetic Flux Density Imaging in Diffusion Tensor Magnetic Resonance Electrical Impedance Tomography Applications ; DİFÜZYON TENSÖRÜ MANYETİK REZONANS ELEKTRİKSEL EMPEDANS TOMOGRAFİSİ UYGULAMARINDA AKIM YOĞUNLUĞU GERİ KAZANIMI İLE MANYETİK AKI YOĞUNLUĞU GÖRÜNTÜLEMENİN GELİŞTİRİLMESİ

Autoři: Açıkgöz, Berk Can Eyüboğlu, Behçet Murat Department of Electrical and Electronics Engineering

Přispěvatelé: Açıkgöz, Berk Can Eyüboğlu, Behçet Murat Department of Electrical and Electronics Engineering

Témata: iletkenlik, manyetik rezonans, difüzyon tensörü, elektriksel empedans, akım yoğunluğu, görüntüleme, Arbis Subjects::Engineering and Technology::Electrical and Electronics Engineering::Other, Arbis Subjects::Engineering and Technology::Biomedical Engineering::Biomedical Image Processing

Popis souboru: application/pdf

Relation: https://hdl.handle.net/11511/91664

Dostupnost: https://hdl.handle.net/11511/91664

Sensitivity Analysis and Multi Contrast Imaging of Magnetic Resonance Magnetohydrodynamic Flow Velocimetry at 3 Tesla ; 3 Teslada Manyetik Rezonans Manyetohidrodinamik Akış Hızı Ölçümünün Duyarlılık Analizi ve Çoklu Kontrast Görüntülenmesi

Autoři: Şişman, Mert Eyüboğlu, Behçet Murat Department of Electrical and Electronics Engineering

Přispěvatelé: Şişman, Mert Eyüboğlu, Behçet Murat Department of Electrical and Electronics Engineering

Témata: Magnetohydrodynamic Flow Velocity Imaging, Current Density Imaging, Diffusion Tensor Imaging, Multi-Contrast Imaging, Sensitivity Analysis, Arbis Subjects::Engineering and Technology, Arbis Subjects::Engineering and Technology::Electrical and Electronics Engineering, Arbis Subjects::Engineering and Technology::Electrical and Electronics Engineering::Other, Arbis Subjects::Engineering and Technology::Biomedical Engineering::Biomedical Image Processing::Biomedical Image Processing, Arbis Subjects::Engineering and Technology::Biomedical Engineering::Biomedical Image Processing, Arbis Subjects::Engineering and Technology::Biomedical Engineering

Popis souboru: 111 pages; application/pdf

Relation: https://hdl.handle.net/11511/91238

Dostupnost: https://hdl.handle.net/11511/91238