Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Burak B. Ozkara"'
Autor:
Burak B. Ozkara, Mert Karabacak, Konstantinos Margetis, Vivek S. Yedavalli, Max Wintermark, Sotirios Bisdas
Publikováno v:
Tomography, Vol 9, Iss 6, Pp 2016-2028 (2023)
The number of scholarly articles continues to rise. The continuous increase in scientific output poses a challenge for researchers, who must devote considerable time to collecting and analyzing these results. The topic modeling approach emerges as a
Externí odkaz:
https://doaj.org/article/a5ffcdd209ec47cd8a8b7d257215d824
Autor:
Burak B. Ozkara, Mert Karabacak, Apoorva Kotha, Alperen Aslan, Omar Hamam, Namratha Edpuganti, Meisam Hoseinyazdi, Richard Wang, Brian C. Cristiano, Vivek S. Yedavalli
Publikováno v:
Neurology International, Vol 15, Iss 1, Pp 225-237 (2023)
Several baseline hematologic and metabolic laboratory parameters have been linked to acute ischemic stroke (AIS) clinical outcomes in patients who successfully recanalized. However, no study has directly investigated these relationships within the se
Externí odkaz:
https://doaj.org/article/2de74d9324fe44debb5f19981b8f51be
Publikováno v:
Applied Sciences, Vol 13, Iss 6, p 3873 (2023)
Low-grade gliomas are a heterogeneous group of infiltrative neoplasms. Radiomics allows the characterization of phenotypes with high-throughput extraction of quantitative imaging features from radiologic images. Deep learning models, such as convolut
Externí odkaz:
https://doaj.org/article/3f2a8991d06240ccbe4acf91fc74ab47
Autor:
Burak B. Ozkara, Christian Federau, Samir A. Dagher, Debajani Pattnaik, F. Eymen Ucisik, Melissa M. Chen, Max Wintermark
Publikováno v:
Journal of Neuro-Oncology. 162:363-371
Autor:
Burak B. Ozkara, Mert Karabacak, Omar Hamam, Richard Wang, Apoorva Kotha, Neda Khalili, Meisam Hoseinyazdi, Melissa M. Chen, Max Wintermark, Vivek S. Yedavalli
Publikováno v:
Journal of Clinical Medicine
Volume 12
Issue 3
Pages: 839
Volume 12
Issue 3
Pages: 839
At present, clinicians are expected to manage a large volume of complex clinical, laboratory, and imaging data, necessitating sophisticated analytic approaches. Machine learning-based models can use this vast amount of data to create forecasting mode
Publikováno v:
Acta Phlebologica. 23
Publikováno v:
British journal of hospital medicine (London, England : 2005). 83(3)
Compressive syndromes of the cervical arteries caused by musculoskeletal structures include bow hunter's syndrome, beauty parlour stroke syndrome, carotid compression by the hyoid bone, carotid compression by the digastric muscle and Eagle syndrome.
Autor:
Burak B. Ozkara, Melissa M. Chen, Christian Federau, Mert Karabacak, Tina M. Briere, Jing Li, Max Wintermark
Publikováno v:
Cancers. 15:334
Since manual detection of brain metastases (BMs) is time consuming, studies have been conducted to automate this process using deep learning. The purpose of this study was to conduct a systematic review and meta-analysis of the performance of deep le
Autor:
Lakhani DA; Department of Radiology and Radiological Sciences, Johns Hopkins University, 600 N. Wolfe St., Phipps B100, Baltimore, MD 21287, USA., Balar AB; Department of Radiology and Radiological Sciences, Johns Hopkins University, 600 N. Wolfe St., Phipps B100, Baltimore, MD 21287, USA., Salim H; Department of Radiology and Radiological Sciences, Johns Hopkins University, 600 N. Wolfe St., Phipps B100, Baltimore, MD 21287, USA., Koneru M; Cooper Medical School, Rowan University, Camden, NJ 08103, USA., Wen S; Department of Biostatistics, West Virginia University, Morgantown, WV 26506, USA., Ozkara B; Department of Neurology, Johns Hopkins University, Baltimore, MD 21218, USA., Lu H; Department of Radiology and Radiological Sciences, Johns Hopkins University, 600 N. Wolfe St., Phipps B100, Baltimore, MD 21287, USA., Wang R; Department of Radiology and Radiological Sciences, Johns Hopkins University, 600 N. Wolfe St., Phipps B100, Baltimore, MD 21287, USA., Hoseinyazdi M; Department of Radiology and Radiological Sciences, Johns Hopkins University, 600 N. Wolfe St., Phipps B100, Baltimore, MD 21287, USA., Xu R; Department of Radiology and Radiological Sciences, Johns Hopkins University, 600 N. Wolfe St., Phipps B100, Baltimore, MD 21287, USA., Nabi M; Department of Radiology and Radiological Sciences, Johns Hopkins University, 600 N. Wolfe St., Phipps B100, Baltimore, MD 21287, USA., Mazumdar I; Department of Radiology and Radiological Sciences, Johns Hopkins University, 600 N. Wolfe St., Phipps B100, Baltimore, MD 21287, USA., Cho A; Department of Radiology and Radiological Sciences, Johns Hopkins University, 600 N. Wolfe St., Phipps B100, Baltimore, MD 21287, USA., Chen K; Department of Radiology and Radiological Sciences, Johns Hopkins University, 600 N. Wolfe St., Phipps B100, Baltimore, MD 21287, USA., Sepehri S; Department of Radiology and Radiological Sciences, Johns Hopkins University, 600 N. Wolfe St., Phipps B100, Baltimore, MD 21287, USA., Hyson N; Department of Radiology and Radiological Sciences, Johns Hopkins University, 600 N. Wolfe St., Phipps B100, Baltimore, MD 21287, USA., Urrutia V; Department of Radiology and Radiological Sciences, Johns Hopkins University, 600 N. Wolfe St., Phipps B100, Baltimore, MD 21287, USA., Luna L; Department of Radiology and Radiological Sciences, Johns Hopkins University, 600 N. Wolfe St., Phipps B100, Baltimore, MD 21287, USA., Hillis AE; Department of Neurology, Johns Hopkins University, Baltimore, MD 21218, USA., Heit JJ; Department of Neurology, Stanford University, Stanford, CA 94305, USA., Albers GW; Department of Neurology, Stanford University, Stanford, CA 94305, USA., Rai AT; Department of Neuroradiology, West Virginia University, Morgantown, WV 26506, USA., Dmytriw AA; Department of Radiology, Harvard Medical School, Boston, MA 02115, USA., Faizy TD; Department of Radiology, Neuroendovascular Division, University Medical Center Münster, 48149 Münster, Germany., Wintermark M; Department of Neuroradiology, MD Anderson Medical Center, Houston, TX 77030, USA., Nael K; Division of Neuroradiology, Department of Radiology, University of California San Francisco (UCSF), San Francisco, CA 94143, USA., Yedavalli VS; Department of Radiology and Radiological Sciences, Johns Hopkins University, 600 N. Wolfe St., Phipps B100, Baltimore, MD 21287, USA.
Publikováno v:
Diagnostics (Basel, Switzerland) [Diagnostics (Basel)] 2024 Apr 19; Vol. 14 (8). Date of Electronic Publication: 2024 Apr 19.