Federated learning enables big data for rare cancer boundary detection S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ... Nature communications 13 (1), 7346, 2022 | 159 | 2022 |
Discriminating pseudoprogression and true progression in diffuse infiltrating glioma using multi-parametric MRI data through deep learning J Lee, N Wang, S Turk, S Mohammed, R Lobo, J Kim, E Liao, ... Scientific reports 10 (1), 20331, 2020 | 50 | 2020 |
Gender discrepancy in research activities during radiology residency F Vernuccio, M Arzanauskaite, S Turk, ET Torres, JMD Choa, AS Udare, ... Insights into imaging 10, 1-9, 2019 | 27 | 2019 |
Academia in cardiovascular radiology: are we doing enough for the future of the subspecialty? M Arzanauskaite, S Shelmerdine, JMD Choa, EE Romero, D Haroun, ... Clinical Radiology 76 (7), 502-509, 2021 | 5 | 2021 |
Academic future of interventional radiology subspecialty: are we giving enough space to radiology trainees? B Bold, A Mishig, T Dashjamts, S Shelmerdine, JM Choa-Go, MM Serra, ... Medical Science Educator 33 (1), 173-183, 2023 | 3 | 2023 |
Author Correction: Federated learning enables big data for rare cancer boundary detection S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ... nature communications 14 (1), 436, 2023 | 3 | 2023 |
Jointnet: A deep model for predicting active sacroiliitis from sacroiliac joint radiography S Turk, A Demirkaya, MY Turali, C Hepdurgun, SUH Dar, AK Karabulut, ... arXiv preprint arXiv:2301.10769, 2023 | 3 | 2023 |
Advanced CT and MR Imaging of the Posttreatment Head and Neck R Lobo, S Turk, JR Bapuraj, A Srinivasan Neuroimaging Clinics 32 (1), 133-144, 2022 | 2 | 2022 |
Diffuse midline glioma in Ollier disease: A case report and a brief review of the literature AK Karabulut, S Türk, İ Tamsel, J Kim, M Argın Radiology Case Reports 16 (8), 2299-2305, 2021 | 2 | 2021 |
The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI MC de Verdier, R Saluja, L Gagnon, D LaBella, U Baid, NH Tahon, ... arXiv preprint arXiv:2405.18368, 2024 | 1 | 2024 |
Comparative study of radiologists vs machine learning in differentiating biopsy-proven pseudoprogression and true progression in diffuse gliomas S Turk, NC Wang, O Kitis, S Mohammed, T Ma, R Lobo, J Kim, ... Neuroscience Informatics 2 (3), 100088, 2022 | 1 | 2022 |
Emergency Radiology of the Head and Spine M Scaglione, C Çalli, M Muto, S Wirth Springer, 2022 | 1 | 2022 |
Atlas of clinical cases on brain tumor imaging Y Özsunar, U Şenol Springer Nature, 2020 | 1 | 2020 |
Deep learning algorithm for sacroiliac joint evaluation: Grading with radiographs S Türk, T Cukur, C HEPDURGUN, S Dar, AK Karabulut, I TAMSEL, ... European Congress of Radiology-ECR 2020, 2020 | 1 | 2020 |
The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI M Correia de Verdier, R Saluja, L Gagnon, D LaBella, U Baid, ... arXiv e-prints, arXiv: 2405.18368, 2024 | | 2024 |
Extrahepatic 90Y Complication; Gastric Ulcer Secondary to 90Y Therapy for Liver Metastasis Despite Negative Preprocedural Imaging C Shea, H Lamberg, S Turk, M Sanogo, D Turgeon, B Nojkov, K Frey, ... Nuclear Medicine and Molecular Imaging 58 (2), 86-91, 2024 | | 2024 |
Federated learning enables big data for rare cancer boundary detection (vol 13, 7346, 2022) S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ... NATURE PORTFOLIO, 2023 | | 2023 |
Temporal DCE Profile of Brain Metastasis with A Comparison of Pseudoprogression Cases S Turk, R Kurokawa, S Naganawa, J Wallace, T Ma, T Johnson, T Moritani, ... medRxiv, 2022.12. 19.22283618, 2022 | | 2022 |
Frequency and Risk Factors of Resident Burnout Before and During the COVID19 Pandemic S Türk, A Kalyoncu, ÖS Karabilgin Öztürkçü, H Elbi, MN Orman, ... medRxiv, 2022.09. 04.22279366, 2022 | | 2022 |
Machine Learning Based Radiomics for Glial Tumor Classification and Comparison with Volumetric Analysis S Turk, K Oguz, M Orman, E Caliskan, Y Ertan, E Ozgiray, T Akalin, ... arXiv preprint arXiv:2208.06739, 2022 | | 2022 |