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Adnan Siddiqui
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2020 – today
- 2024
- [j4]Bin Lv, Mingguang Sun, Yejie Shan, Xiangyu Cao, Zhihua Du, Xinfeng Liu, Rongju Zhang, Xiaochang Leng, Jens Fiehler, Adnan H. Siddiqui, Jianping Xiang, Jun Wang:
AneuGuide™ software-assisted vs. manual measurements in sizing for pipeline embolization device: An agreement study. Comput. Biol. Medicine 168: 107715 (2024) - 2022
- [c21]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. Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c20]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. Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c19]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. Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c18]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. Computer-Aided Diagnosis 2022 - 2021
- [j3]Armin Abdehkakha, Adam L. Hammond, Tatsat R. Patel, Adnan H. Siddiqui, Gary F. Dargush, Hui Meng:
Cerebral aneurysm flow diverter modeled as a thin inhomogeneous porous medium in hemodynamic simulations. Comput. Biol. Medicine 139: 104988 (2021) - [c17]Tatsat R. Patel, Nandor K. Pinter, Seyyed Mostafa Mousavi Janbeh Sarayi, Adnan H. Siddiqui, Vincent M. Tutino, Hamidreza Rajabzadeh-Oghaz:
Automated Cerebral Vessel Segmentation of Magnetic Resonance Imaging in Patients with Intracranial Atherosclerotic Diseases. EMBC 2021: 3920-3923 - [c16]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. Computer-Aided Diagnosis 2021 - [c15]Tatsat R. Patel, Mohammad Waqas, Sarah Fricano, Adam A. Dmytriw, John Tomaszewski, Elad I. Levy, Kenneth V. Snyder, Jason M. Davies, Adnan H. Siddiqui, Vincent M. Tutino:
Clot organization on histology is associated with radiomics features that predict treatment outcomes from mechanical thrombectomy. Digital Pathology 2021 - [c14]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. Image Processing 2021 - 2020
- [c13]Nicholas J. Pham, Ryan A. Rava, Mohammad Mahdi Shiraz Bhurwani, Alexander R. Podgorsak, Kenneth V. Snyder, Elad I. Levy, Jason M. Davies, Adnan H. Siddiqui, Ciprian N. Ionita:
Co-registration of infarct core location with angiography during mechanical thrombectomy procedures for treatment progression monitoring. Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 113170E - [c12]Kyle A. Williams, Mohammad Mahdi Shiraz Bhurwani, Kenneth V. Snyder, Elad I. Levy, Jason M. Davies, Adnan H. Siddiqui, Ciprian N. Ionita:
Quantification of flow through intracranial arteriovenous malformations using Angiographic Parametric Imaging (API). Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 113170S - [c11]Mohammad Mahdi Shiraz Bhurwani, Mohammad Waqas, Kyle A. Williams, Ryan A. Rava, Alexander R. Podgorsak, Kenneth V. Snyder, Elad I. Levy, Jason M. Davies, Adnan H. Siddiqui, Ciprian N. Ionita:
Predicting treatment outcome of intracranial aneurysms using angiographic parametric imaging and recurrent neural networks. Computer-Aided Diagnosis 2020 - [c10]Tatsat R. Patel, Nikhil Paliwal, Prakhar Jaiswal, Mohammad Waqas, Maxim Mokin, Adnan H. Siddiqui, Hui Meng, Rahul Rai, Vincent M. Tutino:
Multi-resolution CNN for brain vessel segmentation from cerebrovascular images of intracranial aneurysm: a comparison of U-Net and DeepMedic. Computer-Aided Diagnosis 2020
2010 – 2019
- 2019
- [c9]Hamidreza Rajabzadeh-Oghaz, Anusha Ramesh Chandra, Liza C. Gutierrez, Ferdinand Schweser, Ciprian N. Ionita, Adnan Siddiqui, Vincent M. Tutino:
High-resolution MRI of the mouse cerebral vasculature to study hemodynamic-induced vascular remodeling. Biomedical Applications in Molecular, Structural, and Functional Imaging 2019: 109531F - [c8]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. Biomedical Applications in Molecular, Structural, and Functional Imaging 2019: 1095314 - [c7]Mohammad Mahdi Shiraz Bhurwani, Alexander R. Podgorsak, Anusha Ramesh Chandra, Ryan A. Rava, Kenneth V. Snyder, Elad I. Levy, Jason M. Davies, Adnan H. Siddiqui, Ciprian N. Ionita:
Feasibility study of deep neural networks to classify intracranial aneurysms using angiographic parametric imaging. Computer-Aided Diagnosis 2019: 109502A - 2018
- [j2]Naveen Kumar Sankaran, Pramod Chembrammel, Adnan Siddiqui, Kenneth V. Snyder, Thenkurussi Kesavadas:
Design and Development of Surgeon Augmented Endovascular Robotic System. IEEE Trans. Biomed. Eng. 65(11): 2483-2493 (2018) - [c6]Alexander R. Podgorsak, Ashwin Venkataraman, Swetadri Vasan Setlur Nagesh, Daniel R. Bednarek, Stephen Rudin, Adnan Siddiqui, Ciprian N. Ionita:
Use of material decomposition in the context of neurovascular intervention using standard flat panel and a high-resolution CMOS detector. Biomedical Applications in Molecular, Structural, and Functional Imaging 2018: 105780L - [c5]Ciprian N. Ionita, Ashwin Venkataraman, Alexander R. Podgorsak, Kelsey N. Sommer, Lauren M. Shepard, Adnan Siddiqui:
X-ray image guidance workflow development for in-vivo aneurysm treatment using a new retrievable asymmetric flow diverter (RAFD). Image-Guided Procedures 2018: 105760R - 2017
- [c4]Hamidreza Rajabzadeh-Oghaz, Nicole Varble, Jason M. Davies, Ashkan Mowla, Hakeem J. Shakir, Ashish Sonig, Hussain Shallwani, Kenneth V. Snyder, Elad I. Levy, Adnan H. Siddiqui, Hui Meng:
Computer-assisted adjuncts for aneurysmal morphologic assessment: toward more precise and accurate approaches. Computer-Aided Diagnosis 2017: 101341C - [c3]Nikhil Paliwal, Robert J. Damiano, Jason M. Davies, Adnan H. Siddiqui, Hui Meng:
Association between hemodynamic modifications and clinical outcome of intracranial aneurysms treated using flow diverters. Image-Guided Procedures 2017: 101352F - 2015
- [c2]Aradhana Yoganand, Rachel P. Wood, Carlos Jimenez, Adnan Siddiqui, Kenneth V. Snyder, Swetadri Vasan Setlur Nagesh, Daniel R. Bednarek, Stephen Rudin, Robert E. Baier, Ciprian N. Ionita:
Angiographic analysis for phantom simulations of endovascular aneurysm treatments with a new fully retrievable asymmetric flow diverter. Biomedical Applications in Molecular, Structural, and Functional Imaging 2015: 94170W - [c1]M. Russ, R. O'Hara, Swetadri Vasan Setlur Nagesh, Maxim Mokin, Carlos Jimenez, Adnan Siddiqui, Daniel R. Bednarek, Stephen Rudin, Ciprian N. Ionita:
Treatment planning for image-guided neuro-vascular interventions using patient-specific 3D printed phantoms. Biomedical Applications in Molecular, Structural, and Functional Imaging 2015: 941726 - 2014
- [j1]David S. Wack, Kenneth V. Snyder, Kevin Seals, Adnan Siddiqui:
Masked smoothing using separable kernels for CT perfusion images. BMC Medical Imaging 14: 28 (2014)
Coauthor Index
aka: Mohammad Mahdi Shiraz Bhurwani
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