A5065258450- Radiomics and Machine Learning in Medical Imaging
- Glioma Diagnosis and Treatment
- Brain Tumor Detection and Classification
- Privacy-Preserving Technologies in Data
- Diversity and Career in Medicine
- Advanced MRI Techniques and Applications
- MRI in cancer diagnosis
- Radiology practices and education
- Bone Tumor Diagnosis and Treatments
- Cerebrovascular and Carotid Artery Diseases
- Abdominal Surgery and Complications
- Appendicitis Diagnosis and Management
- IgG4-Related and Inflammatory Diseases
- Hepatocellular Carcinoma Treatment and Prognosis
- Orthopedic Infections and Treatments
- Transplantation: Methods and Outcomes
- Immunodeficiency and Autoimmune Disorders
- Radiation Dose and Imaging
- Traumatic Brain Injury and Neurovascular Disturbances
- Functional Brain Connectivity Studies
- Pneumocystis jirovecii pneumonia detection and treatment
- Meningioma and schwannoma management
- Global Health Workforce Issues
- Spondyloarthritis Studies and Treatments
- Advanced X-ray and CT Imaging
University of Michigan
2020-2023
Ege University
2019-2022
Michigan Medicine
2021-2022
Michigan United
2022
Hospital for Sick Children
2011
Asan Medical Center
2011
National Heart Centre Singapore
2011
First Affiliated Hospital of Xinjiang Medical University
2011
Xinjiang Medical University
2011
Jichi Medical University
2011
Differentiating pseudoprogression from true tumor progression has become a significant challenge in follow-up of diffuse infiltrating gliomas, particularly high grade, which leads to potential treatment delay for patients with early glioma recurrence. In this study, we proposed use multiparametric MRI data as sequence input the convolutional neural network recurrent based deep learning structure discriminate between and progression. 43 biopsy-proven patient identified whose disease...
To investigate the presence of gender disparity in academic involvement during radiology residency and to identify characterize any differences perceived barriers for conducting research.An international call participation an online survey was promoted via social media through multiple national radiological societies. A 35-question invited trainees worldwide answer questions regarding exposure their training. Gender response proportions were analyzed using either Fisher's exact or...
Gliomas are the most common malignant primary brain tumors in adults and one of deadliest types cancer. There many challenges treatment monitoring due to genetic diversity high intrinsic heterogeneity appearance, shape, histology, response. Treatments include surgery, radiation, systemic therapies, with magnetic resonance imaging (MRI) playing a key role planning post-treatment longitudinal assessment. The 2024 Brain Tumor Segmentation (BraTS) challenge on glioma MRI will provide community...
MRI features of tumor progression and pseudoprogression may be indistinguishable especially without enhancing portion the diffuse gliomas. Our aim is to discriminate these two conditions using radiomics machine learning algorithm compare them with human observations. Three consecutive studies before a definitive biopsy in 43 glioma patients (7 36 true cases) who underwent treatment were evaluated. Two neuroradiologists reviewed pre- post-contrast T1, T2, FLAIR, ADC, rCBV, rCBF, K2, MTT maps....
Abstract Objective To explore the prevalence and contributing factors of resident burnout in a University Hospital before during COVID 19 pandemic. Methods Thirty Faculty Medicine departments were included survey, where 400 university hospital residents filled out Maslach Burnout Inventory (MBI) January 2018 April 2020. Related scores emotional exhaustion (EE), decreased accomplishment (DA) depersonalization (DP) calculated compared between different groups. Correlation possible factors,...
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Purpose: To develop a deep learning model that predicts active inflammation from sacroiliac joint radiographs and to compare the success with radiologists. Materials Methods: A total of 1,537 (augmented 1752) grade 0 SIJs 768 patients were retrospectively analyzed. Gold-standard MRI exams showed in 330 joints according ASAS criteria. convolutional neural network (JointNET) was developed detect MRI-based labels solely based on radiographs. Two radiologists blindly evaluated for comparison....
Amaç: Bağırsak duvar kalınlık artışı olan olgulardaki bağırsak özellikleri ve bilgisayarlı tomografi (BT) bulgularının obstrüksiyonunun etiyolojisini belirlemedeki rolünü araştırmaktır.
 Gereç Yöntem: Ocak 2015 ile Eylül 2016 tarihleri arasında hastanemize başvuran BT incelemelerinde kalınlaşmasının eşlik ettiği obstrüksiyonu mevcut olguların incelemeleri retrospektif olarak değerlendirildi. kalınlığı, arteriyel portal venöz faz kontrastlı görüntülerde atenüasyonu ölçümleri yapıldı....
Background/Purpose: MRI features of tumor progression and pseudoprogression may be indistinguishable especially without enhancing portion the diffuse gliomas. Our aim is to discriminate these two conditions using radiomics machine learning algorithm compare them with human observations. Materials/Methods: Three consecutive studies before a definitive biopsy in 43 glioma patients (7 36 true cases) who underwent treatment were evaluated. Two neuroradiologists reviewed pre-and post-contrast T1,...
Purpose; The purpose of this study is to classify glial tumors into grade II, III and IV categories noninvasively by application machine learning multi-modal MRI features in comparison with volumetric analysis. Methods; We retrospectively studied 57 glioma patients pre postcontrast T1 weighted, T2 FLAIR images, ADC maps acquired on a 3T MRI. were segmented enhancing nonenhancing portions, tumor necrosis, cyst edema using semiautomated segmentation ITK-SNAP open source tool. measured total...
Abstract Purpose To demonstrate Dynamic Contrast-Enhanced (DCE) perfusion changes in brain metastasis patients after chemoradiation therapy within the treatment responders (true-response group and pseudoprogression group) between true-response groups. Materials Methods 38 with metastases (13 melanoma, 11 lung, 7 breast, others) 3 consecutive DCE-MRI examinations (pretreatment, first follow-up second follow-up) 10 melanoma 2 were evaluated. parameters permeability graphs increase (rapid,...