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Jason M. Davies
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2020 – today
- 2023
- [c18]R. White, Allison Shields, Swetadri Vasan Setlur Nagesh, E. Smith, Jason M. Davies, Daniel R. Bednarek, Stephen Rudin, Ciprian N. Ionita, V. Chivukula:
Investigating angiographic injection parameters for cerebral aneurysm hemodynamic characterization using patient-specific simulated angiograms. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2023 - 2022
- [c17]V. Chivukula, R. White, Allison Shields, Jason M. Davies, Maxim Mokin, Daniel R. Bednarek, Stephen Rudin, Ciprian N. Ionita:
Leveraging patient-specific simulated angiograms to characterize cerebral aneurysm hemodynamics using computational fluid dynamics. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c16]Jeff Joseph, Benjamin Weppner, Nandor K. Pinter
, Mohammad Mahdi Shiraz Bhurwani, Andre Monteiro, Ammad A. Baig, Jason M. Davies, Adnan Siddique, Ciprian N. Ionita:
Prognosis of ischemia recurrence in patients with moderate intracranial atherosclerotic disease using quantitative MRA measurements. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c15]Roman Price, Mohammad Mahdi Shiraz Bhurwani, Kelsey N. Sommer, Andre Monteiro, Ammad A. Baig, Jason M. Davies, Adnan H. Siddiqui, Ciprian N. Ionita:
Initial investigation of the use of angiographic parametric imaging for early prognosis of delayed cerebral ischemia in patients with subarachnoid hemorrhage. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c14]Dennis Swetz, Samantha E. Seymour, Ryan A. Rava, Mohammad Mahdi Shiraz Bhurwani, Andre Monteiro, Ammad A. Baig, Mohammad Waqas, Kenneth V. Snyder, Elad I. Levy, Jason M. Davies, Adnan H. Siddiqui, Ciprian N. Ionita:
Initial investigation of predicting hematoma expansion for intracerebral hemorrhage using imaging biomarkers and machine learning. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c13]Alexander G. Wisniewski, Mohammad Mahdi Shiraz Bhurwani, Kelsey N. Sommer, Andre Monteiro, Ammad A. Baig, Jason M. Davies, Adnan Siddiqui, Ciprian N. Ionita:
Quantitative angiography prognosis of intracranial aneurysm treatment failure using parametric imaging and distal vessel analysis. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c12]Samantha E. Seymour, Ryan A. Rava, Dennis Swetz, Andre Montiero, Ammad Baig, Kurt Schultz, Kenneth V. Snyder, Mohammad Waqas, Jason M. Davies, Elad I. Levy, Adnan H. Siddiqui, Ciprian N. Ionita:
Predicting hematoma expansion after spontaneous intracranial hemorrhage through a radiomics based model. Medical Imaging: Computer-Aided Diagnosis 2022 - 2021
- [j2]Palak Patel, Seyyed Mostafa Mousavi Janbeh Sarayi
Fast virtual coiling algorithm for intracranial aneurysms using pre-shape path planning. Comput. Biol. Medicine 134: 104496 (2021) - [c11]Mohammad Mahdi Shiraz Bhurwani, Kenneth V. Snyder, Mohammad Waqas, Maxim Mokin, Ryan A. Rava, Alexander R. Podgorsak, Kelsey N. Sommer, Jason M. Davies, Elad I. Levy, Adnan H. Siddiqui, Ciprian N. Ionita:
Use of biplane quantitative angiographic imaging with ensemble neural networks to assess reperfusion status during mechanical thrombectomy. Medical Imaging: Computer-Aided Diagnosis 2021 - [c10]Tatsat R. Patel
Clot organization on histology is associated with radiomics features that predict treatment outcomes from mechanical thrombectomy. Medical Imaging: Digital Pathology 2021 - [c9]Ryan A. Rava, Alexander R. Podgorsak, Mohammad Waqas, Kenneth V. Snyder, Elad I. Levy, Jason M. Davies, Adnan H. Siddiqui, Ciprian N. Ionita:
Use of a convolutional neural network to identify infarct core using computed tomography perfusion parameters. Medical Imaging: Image Processing 2021 - 2020
- [c8]Nicholas J. Pham, Ryan A. Rava, Mohammad Mahdi Shiraz Bhurwani
Co-registration of infarct core location with angiography during mechanical thrombectomy procedures for treatment progression monitoring. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 113170E - [c7]Kyle A. Williams, Mohammad Mahdi Shiraz Bhurwani
Quantification of flow through intracranial arteriovenous malformations using Angiographic Parametric Imaging (API). Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 113170S - [c6]Alexander R. Podgorsak, Mohammad Mahdi Shiraz Bhurwani
Optimization of DSA image data input to a machine learning aneurysm identifier. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 113171Y - [c5]Mohammad Mahdi Shiraz Bhurwani
Predicting treatment outcome of intracranial aneurysms using angiographic parametric imaging and recurrent neural networks. Medical Imaging: Computer-Aided Diagnosis 2020
2010 – 2019
- 2019
- [c4]Lauren M. Shepard, Adnan H. Siddiqui, Kenneth V. Snyder, Elad I. Levy, Jason M. Davies, Ciprian N. Ionita
Initial assessment of neuro pressure gradients in carotid stenosis using 3D printed patient-specific phantoms. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2019: 1095314 - [c3]Mohammad Mahdi Shiraz Bhurwani
Feasibility study of deep neural networks to classify intracranial aneurysms using angiographic parametric imaging. Medical Imaging: Computer-Aided Diagnosis 2019: 109502A - 2017
- [c2]Hamidreza Rajabzadeh-Oghaz, Nicole Varble
Computer-assisted adjuncts for aneurysmal morphologic assessment: toward more precise and accurate approaches. Medical Imaging: Computer-Aided Diagnosis 2017: 101341C - [c1]Nikhil Paliwal
Association between hemodynamic modifications and clinical outcome of intracranial aneurysms treated using flow diverters. Medical Imaging: Image-Guided Procedures 2017: 101352F - 2014
- [j1]Ben J. Marafino, Jason M. Davies, Naomi S. Bardach
Research and applications: N-gram support vector machines for scalable procedure and diagnosis classification, with applications to clinical free text data from the intensive care unit. J. Am. Medical Informatics Assoc. 21(5): 871-875 (2014)
Coauthor Index
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