Vefa Salt

ORCID: 0000-0003-3236-6659
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About
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Research Areas
  • Acute Ischemic Stroke Management
  • Advanced Neuroimaging Techniques and Applications
  • Hearing Loss and Rehabilitation
  • Sports injuries and prevention
  • Lower Extremity Biomechanics and Pathologies
  • Lanthanide and Transition Metal Complexes
  • Radiomics and Machine Learning in Medical Imaging
  • Intracerebral and Subarachnoid Hemorrhage Research
  • Head and Neck Surgical Oncology
  • Cerebrospinal fluid and hydrocephalus
  • Artificial Intelligence in Healthcare and Education
  • Hearing, Cochlea, Tinnitus, Genetics
  • Ear Surgery and Otitis Media
  • Medical Imaging and Analysis
  • Hip disorders and treatments

Istanbul University-Cerrahpaşa
2020-2025

Istanbul University
2020

Abstract To investigate the performance of a joint convolutional neural networks-recurrent networks (CNN-RNN) using an attention mechanism in identifying and classifying intracranial hemorrhage (ICH) on large multi-center dataset; to test its prospective independent sample consisting consecutive real-world patients. All patients who underwent emergency non-contrast-enhanced head CT five different centers were retrospectively gathered. Five neuroradiologists created ground-truth labels. The...

10.1038/s41598-022-05872-x article EN cc-by Scientific Reports 2022-02-08

Objectives Chronic venous insufficiency (CVI) is a prevalent condition with significant socioeconomic implications. Endovenous radiofrequency ablation (RFA) minimally invasive treatment option that has gained widespread acceptance due to its high efficacy and low complication rates. This study aimed investigate the effectiveness of novel access technique using subcutaneous side branch greater saphenous vein (GSV) compare it conventional direct GSV technique. Methods A total 211 patients (288...

10.1177/17085381251339071 article EN Vascular 2025-04-28

Abstract There is little evidence on the applicability of deep learning (DL) in segmentation acute ischemic lesions diffusion-weighted imaging (DWI) between magnetic resonance (MRI) scanners different manufacturers. We retrospectively included DWI data patients with from six centers. Dataset A (n = 2986) and B 3951) Siemens GE MRI scanners, respectively. The datasets were split into training (80%), validation (10%), internal test (10%) sets, neuroradiologists created ground-truth masks....

10.1038/s41598-021-91467-x article EN cc-by Scientific Reports 2021-06-14

Objectives: Congenital hearing loss is a significant health concern, with diverse etiologies encompassing cochlear and cochleovestibular pathologies. Preoperative radiological evaluation in implant candidates pivotal for treatment planning. We aim to elucidate the spectrum of findings patients congenital undergoing assessment. Methods: An analysis included 389 sensorineural (SNHL) who underwent implantation at tertiary university hospital, whose 177 were SNHL. Computed tomography (CT)...

10.20944/preprints202411.0530.v1 preprint EN 2024-11-08

Greater trochanteric pain syndrome (GTPS) is a common cause of hip and often associated with chronic lower back extremity osteoarthritis. Its diagnosis clinical; however, imaging has been shown to aid in the differential challenging cases. Superb microvascular (SMI) new technique that may be more effective than power Doppler ultrasonography (PDUS) detection inflammation-related vascularity patients. In this study, we aimed compare diagnostic accuracies SMI PDUS patients GTPS evaluate...

10.1097/md.0000000000038622 article EN cc-by-nc Medicine 2024-12-13

Objectives: Congenital hearing loss is a significant health concern, with diverse etiologies encompassing cochlear and cochleovestibular pathologies. Preoperative radiological evaluation in implant candidates pivotal for treatment planning. We aim to elucidate the spectrum of findings patients congenital undergoing assessment. Methods: An analysis included 389 sensorineural (SNHL) who underwent implantation at tertiary university hospital, which 177 were SNHL. Computed tomography (CT)...

10.3390/jcm13247664 article EN Journal of Clinical Medicine 2024-12-16

Abstract There is little evidence on the applicability of deep learning (DL) in segmentation acute ischemic lesions diffusion-weighted imaging (DWI) between magnetic resonance (MRI) scanners different manufacturers. We retrospectively included DWI data patients with from six centers. Dataset A (n=2986) and B (n=3951) Siemens GE MRI scanners, respectively. The datasets were split into training (80%), validation (10%), internal test (10%) sets neuroradiologist created ground-truth masks....

10.21203/rs.3.rs-132659/v1 preprint EN cc-by Research Square (Research Square) 2020-12-28
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