A5013423679- Cerebrovascular and Carotid Artery Diseases
- Vascular Anomalies and Treatments
- Retinal and Optic Conditions
- Congenital Heart Disease Studies
- Radiomics and Machine Learning in Medical Imaging
- Renal and Vascular Pathologies
- Stroke Rehabilitation and Recovery
- COVID-19 Clinical Research Studies
- Acute Ischemic Stroke Management
- AI in cancer detection
- Foot and Ankle Surgery
- Systemic Lupus Erythematosus Research
- Venous Thromboembolism Diagnosis and Management
- Pleural and Pulmonary Diseases
- COVID-19 diagnosis using AI
- Occupational and environmental lung diseases
- Lower Extremity Biomechanics and Pathologies
- Tendon Structure and Treatment
- Ocular Diseases and Behçet’s Syndrome
- Radiation Dose and Imaging
- Pulmonary Hypertension Research and Treatments
- Long-Term Effects of COVID-19
- Topic Modeling
- Peripheral Neuropathies and Disorders
- Ultrasound in Clinical Applications
Istanbul Medipol University
2024
Atatürk University
2019-2023
Abstract The use of deep learning (DL) techniques for automated diagnosis large vessel occlusion (LVO) and collateral scoring on computed tomography angiography (CTA) is gaining attention. In this study, a state-of-the-art self-configuring object detection network called nnDetection was used to detect LVO assess collateralization CTA scans using multi-task 3D approach. model trained single-phase 2425 patients at five centers, its performance evaluated an external test set 345 from another...
GenerateCT, the first approach to generating 3D medical imaging conditioned on free-form text prompts, incorporates a encoder and three key components: novel causal vision transformer for encoding CT volumes, text-image aligning tokens, text-conditional super-resolution diffusion model. Given absence of directly comparable methods in imaging, we established baselines with cutting-edge demonstrate our method's effectiveness. GenerateCT significantly outperforms these across all metrics....
Abstract The use of deep learning (DL) techniques for automated diagnosis large vessel occlusion (LVO) and collateral scoring on computed tomography angiography (CTA) is gaining attention. In this study, a state-of-the-art self-configuring object detection network called nnDetection was used to detect LVO assess collateralization CTA scans using multi-task 3D approach. model trained single-phase 2425 patients at five centers, its performance evaluated an external test set 345 from another...
Abstract Objectives We aimed to quantitatively analyze lung parenchymal changes in Behçet's patients and detect early quantitative that occur the absence of positive visual radiological findings. Methods In our study, a total 31 with disease, 17 findings 14 without findings, control group 33 individuals were evaluated. The automatic program determined volumes, densities, opacity volume percentages by evaluating contrast‐enhanced computed tomography scans. Results was 3632.98 ± 1100.53 mL...