John J. Volpi VIEW CLINICAL PROFILE

John J. Volpi, MD

Associate Professor of Clinical Neurology, Academic Institute
Assistant Member, Research Institute
The Elkins Family Distinguished Centennial Clinical Academic Scholar in Neurology, Houston Methodist
Weill Cornell Medical College


VIEW CLINICAL PROFILE
Biography

Dr. Volpi is board certified by the American Board of Psychiatry and Neurology for Adult Neurology, and in Neurosonology (including physics, carotid and transcranial Doppler) by the American Society of Neuroimaging (UCNS approved).

Description of Research

Dr. Volpi´s research interests are in the management and prevention of ischemic stroke, and the critical care of patients with neurological illnesses such as intracerebral hemorrhage, epilepsy, and nervous system infections. His studies also involve the use of ultrasound in the evaluation of blood flow to the brain and development of novel therapies for improving patient outcomes in stroke.

Areas Of Expertise

Stroke Epilepsy Intracerebral hemorrhage Nervous system infections Ultrasound
Education & Training

MD, Baylor College of Medicine
Residency, Baylor College of Medicine
Internship, Baylor College of Medicine
Publications

BBox-Guided Segmentor: Leveraging expert knowledge for accurate stroke lesion segmentation using weakly supervised bounding box prior
Ou, Y, Huang, SX, Wong, KK, Cummock, J, Volpi, J, Wang, JZ & Wong, ST 2023, , Computerized Medical Imaging and Graphics, vol. 107, 102236, pp. 102236. https://doi.org/10.1016/j.compmedimag.2023.102236

Stroke severity mediates the effect of socioeconomic disadvantage on poor outcomes among patients with intracerebral hemorrhage
Potter, TBH, Tannous, J, Pan, AP, Bako, A, Johnson, C, Baig, E, Kelly, H, McCane, CD, Garg, T, Gadhia, R, Misra, V, Volpi, J, Britz, G, Chiu, D & Vahidy, FS 2023, , Frontiers in Neurology, vol. 14, 1176924, pp. 1176924. https://doi.org/10.3389/fneur.2023.1176924

Outcomes of patients with pre-existing disability managed by mobile stroke units: A sub-analysis of the BEST-MSU study
Pirlog, BO, Jacob, AP, Rajan, SS, Yamal, JM, Parker, SA, Wang, M, Bowry, R, Czap, A, Bratina, PL, Gonzalez, MO, Singh, N, Zou, J, Gonzales, NR, Jones, WJ, Alexandrov, AW, Alexandrov, AV, Navi, BB, Nour, M, Spokoyny, I, Mackey, J, Silnes, K, Fink, ME, Pisarro Sherman, C, Willey, J, Saver, JL, English, J, Barazangi, N, Ornelas, D, Volpi, J, PV Rao, C, Griffin, L, Persse, D & Grotta, JC 2023, , International Journal of Stroke, pp. 17474930231185471. https://doi.org/10.1177/17474930231185471

Asymmetry Disentanglement Network for Interpretable Acute Ischemic Stroke Infarct Segmentation in Non-contrast CT Scans
Ni, H, Xue, Y, Wong, K, Volpi, J, Wong, STC, Wang, JZ & Huang, X 2022, . in L Wang, Q Dou, PT Fletcher, S Speidel & S Li (eds), Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 - 25th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13438 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 416-426, 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, Singapore, Singapore, 9/18/22. https://doi.org/10.1007/978-3-031-16452-1_40

Automatic Segmentation in Acute Ischemic Stroke: Prognostic Significance of Topological Stroke Volumes on Stroke Outcome
Wong, KK, Cummock, JS, Li, G, Ghosh, R, Xu, P, Volpi, JJ & Wong, STC 2022, , Stroke, vol. 53, no. 9, pp. 2896-2905. https://doi.org/10.1161/STROKEAHA.121.037982

DeepStroke: An efficient stroke screening framework for emergency rooms with multimodal adversarial deep learning
Cai, T, Ni, H, Yu, M, Huang, X, Wong, K, Volpi, J, Wang, JZ & Wong, STC 2022, , Medical Image Analysis, vol. 80, 102522. https://doi.org/10.1016/j.media.2022.102522

Meta-Analysis Comparing Percutaneous Closure Versus Medical Therapy for Patent Foramen Ovale
Krittanawong, C, Virk, HUH, Kumar, A, Wang, Z, Mahtta, D, Khalid, U, Denktas, AE, Volpi, JJ & Jneid, H 2022, , American Journal of Cardiology, vol. 172, pp. 174-177. https://doi.org/10.1016/j.amjcard.2022.03.013

Patcher: Patch Transformers with Mixture of Experts for Precise Medical Image Segmentation
Ou, Y, Yuan, Y, Huang, X, Wong, STC, Volpi, J, Wang, JZ & Wong, K 2022, . in L Wang, Q Dou, PT Fletcher, S Speidel & S Li (eds), Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 - 25th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13435 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 475-484, 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, Singapore, Singapore, 9/18/22. https://doi.org/10.1007/978-3-031-16443-9_46

Readmission in patients undergoing percutaneous patent foramen ovale closure in the United States
Krittanawong, C, Yue, B, Khawaja, M, Kumar, A, Virk, HUH, Wang, Z, Hanif, S, Khalid, U, Denktas, AE, Kavinsky, CJ, Volpi, JJ & Jneid, H 2023, , International Journal of Cardiology, vol. 370, pp. 143-148. https://doi.org/10.1016/j.ijcard.2022.10.135

Retrospective study of deep learning to reduce noise in non-contrast head CT images
Wong, KK, Cummock, JS, He, Y, Ghosh, R, Volpi, JJ & Wong, STC 2021, , Computerized Medical Imaging and Graphics, vol. 94, 101996. https://doi.org/10.1016/j.compmedimag.2021.101996

An Intelligent Augmented Lifelike Avatar App for Virtual Physical Examination of Suspected Strokes
Yao, K, Wong, KK, Yu, X, Volpi, J & Wong, STC 2021, , Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, vol. 2021, pp. 1727-1730. https://doi.org/10.1109/EMBC46164.2021.9629720

Prospective, Multicenter, Controlled Trial of Mobile Stroke Units
Grotta, JC, Yamal, JM, Parker, SA, Rajan, SS, Gonzales, NR, Jones, WJ, Alexandrov, AW, Navi, BB, Nour, M, Spokoyny, I, MacKey, J, Persse, D, Jacob, AP, Wang, M, Singh, N, Alexandrov, AV, Fink, ME, Saver, JL, English, J, Barazangi, N, Bratina, PL, Gonzalez, M, Schimpf, BD, Ackerson, K, Sherman, C, Lerario, M, Mir, S, Im, J, Willey, JZ, Chiu, D, Eisshofer, M, Miller, J, Ornelas, D, Rhudy, JP, Brown, KM, Villareal, BM, Gausche-Hill, M, Bosson, N, Gilbert, G, Collins, SQ, Silnes, K, Volpi, J, Misra, V, McCarthy, J, Flanagan, T, Rao, CPV, Kass, JS, Griffin, L, Rangel-Gutierrez, N, Lechuga, E, Stephenson, J, Phan, K, Sanders, Y, Noser, EA & Bowry, R 2021, , New England Journal of Medicine, vol. 385, no. 11, pp. 971-982. https://doi.org/10.1056/NEJMoa2103879

Retrospective study of deep learning denoising to improve contrast-to-noise ratio in missed hyperacute ischemic stroke lesions
Ghosh, R, Cummock, JS, Wong, K, Volpi, JJ & Wong, ST 2021, , European Stroke Organization Conference 2021, 9/1/21 - 9/3/21 pp. 1717. https://doi.org/10.1177%2F23969873211034932

LambdaUNet: 2.5D Stroke Lesion Segmentation of Diffusion-Weighted MR Images
Ou, Y, Yuan, Y, Huang, X, Wong, K, Volpi, J, Wang, JZ & Wong, STC 2021, . in M de Bruijne, M de Bruijne, PC Cattin, S Cotin, N Padoy, S Speidel, Y Zheng & C Essert (eds), Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 - 24th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12901 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 731-741, 24th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2021, Virtual, Online, 9/27/21. https://doi.org/10.1007/978-3-030-87193-2_69

An Intelligent Augmented Lifelike Avatar App for Virtual Physical Examination of Suspected Strokes
Yao, K, Wong, KK, Yu, X, Volpi, J & Wong, STC 2021, . in 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, Institute of Electrical and Electronics Engineers Inc. pp. 1727-1730, 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021, Virtual, Online, Mexico, 11/1/21. https://doi.org/10.1109/EMBC46164.2021.9629720

Cerebrovascular Disease in Patients with COVID-19: A Review of the Literature and Case Series
Reddy, ST, Garg, T, Shah, C, Nascimento, FA, Imran, R, Kan, P, Bowry, R, Gonzales, N, Barreto, A, Kumar, A, Volpi, J, Misra, V, Chiu, D, Gadhia, R & Savitz, SI 2020, , Case Reports in Neurology, vol. 12, no. 2, pp. 199-209. https://doi.org/10.1159/000508958

Multifocal transcranial stimulation in chronic ischemic stroke: A phase 1/2a randomized trial
Chiu, D, McCane, CD, Lee, J, John, B, Nguyen, L, Butler, K, Gadhia, R, Misra, V, Volpi, JJ, Verma, A & Helekar, SA 2020, , Journal of Stroke and Cerebrovascular Diseases, vol. 29, no. 6, 104816. https://doi.org/10.1016/j.jstrokecerebrovasdis.2020.104816

Pre-endovascular therapy change in blood pressure is associated with outcomes in patients with stroke
Mistry, EA, Dakay, K, Petersen, NH, Jayaraman, M, Mctaggart, R, Furie, K, Mistry, A, Mehta, T, Arora, N, De Los Rios La Rosa, F, Starosciak, AK, Siegler, JE, Barnhill, N, Patel, K, Assad, S, Tarboosh, A, Cruz, AS, Wagner, J, Fortuny, E, Bennett, A, James, RF, Jagadeesan, BD, Streib, C, Kasner, S, Weber, S, Chitale, RV, Volpi, J, Mayer, SA, Khatri, P & Yaghi, S 2020, , Journal of Neurology, Neurosurgery and Psychiatry, vol. 91, no. 4, pp. 438-439. https://doi.org/10.1136/jnnp-2019-322534

Noncontrast CT versus Perfusion-Based Core Estimation in Large Vessel Occlusion: The Blood Pressure after Endovascular Stroke Therapy Study
Siegler, JE, Messé, SR, Sucharew, H, Kasner, SE, Mehta, T, Arora, N, Starosciak, AK, De Los Rios La Rosa, F, Barnhill, NR, Mistry, AM, Patel, K, Assad, S, Tarboosh, A, Dakay, K, Wagner, J, Bennett, A, Jagadeesan, B, Streib, C, Weber, SA, Chitale, R, Volpi, JJ, Mayer, SA, Yaghi, S, Jayaraman, MV, Khatri, P & Mistry, EA 2020, , Journal of Neuroimaging, vol. 30, no. 2, pp. 219-226. https://doi.org/10.1111/jon.12682

Thrombectomy in DAWN- and DEFUSE-3-Ineligible Patients: A Subgroup Analysis from the BEST Prospective Cohort Study
Siegler, JE, Messé, SR, Sucharew, H, Kasner, SE, Mehta, T, Arora, N, Starosciak, AK, De Los Rios La Rosa, F, Barnhill, NR, Mistry, AM, Patel, K, Assad, S, Tarboosh, A, Dakay, K, Salwi, S, Wagner, J, Bennett, A, Jagadeesan, BD, Streib, C, Weber, SA, Chitale, R, Volpi, JJ, Mayer, SA, Yaghi, S, Jayaraman, M, Khatri, P & Mistry, EA 2020, , Clinical Neurosurgery, vol. 86, no. 2, pp. E156-E163. https://doi.org/10.1093/neuros/nyz485

VIEW FULL PUBLICATIONS