John J. Volpi, MD

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


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

A Randomized, Placebo-Controlled, Phase II Trial of Intravenous Allogeneic Non-HLA Matched, Unrelated Donor, Cord Blood Infusion for Ischemic Stroke
Laskowitz, DT, Troy, J, Poehlein, E, Bennett, ER, Shpall, EJ, Wingard, JR, Freed, B, Belagaje, SR, Khanna, A, Jones, W, Volpi, JJ, Marrotte, E & Kurtzberg, J 2024, , Stem Cells Translational Medicine, vol. 13, no. 2, pp. 125-136. https://doi.org/10.1093/stcltm/szad080

Robot-Assisted Transcranial Doppler Versus Transthoracic Echocardiography for Right to Left Shunt Detection
Rubin, MN, Shah, R, Devlin, T, Youn, TS, Waters, MF, Volpi, JJ, Stayman, A, Douville, CM, Lowenkopf, T, Tsivgoulis, G & Alexandrov, AV 2023, , Stroke, vol. 54, no. 11, pp. 2842-2850. https://doi.org/10.1161/STROKEAHA.123.043380

Systems and Methods for Whole Brain Net Water Uptake Imaging in Human using Non-Contrast CT (Filed using the same title for potential merging in the PCT filing 18/325,602)
Wong, K, Wong, ST & Volpi, JJ Oct. 10 2023, .

AI-Generated Net Water Uptake Map as Tissue Clock in Visualizing Potentially Reversible Ischemic Stroke on Non-Contrast CT Scans
Ghosh, R, Wong, K, Volpi, JJ, Wong, ST & Hodics, T 2023, .

Generation of Whole Brain Net Water Uptake Map Using Non-contrast Computed Tomography
Wong, K, Hodics, T, Ghosh, R, Volpi, JJ & Wong, ST 2023, , 15th World Stroke Congress, Toronto, Canada, 10/10/23 - 10/12/23.

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

Reliability of the National Institutes of Health (NIH) Stroke Scale Between Emergency Room and Neurology Physicians for Initial Stroke Severity Scoring
Cummock, JS, Wong, KK, Volpi, JJ & Wong, ST 2023, , Cureus, vol. 15, no. 4, pp. e37595. https://doi.org/10.7759/cureus.37595

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, vol. 18, no. 10, pp. 1209-1218. https://doi.org/10.1177/17474930231185471

Storyline-Centric Detection of Aphasia and Dysarthria in Stroke Patient Transcripts
Sui, P, Wong, KK, Yu, X, Volpi, JJ & Wong, STC 2023, . in 5th Workshop on Clinical Natural Language Processing, ClinicalNLP 2023 - Proceedings of the Workshop. Proceedings of the Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics (ACL), pp. 422-432, 5th Workshop on Clinical Natural Language Processing, ClinicalNLP 2023. held at ACL 2023, Toronto, Canada, 7/14/23.

Strokes Averted by Intravenous Thrombolysis: A Secondary Analysis of a Prospective, Multicenter, Controlled Trial of Mobile Stroke Units
Navi, BB, Bach, I, Czap, AL, Wang, M, Yamal, JM, Jacob, AP, Parker, SA, Rajan, SS, Mir, S, Sherman, C, Willey, JZ, Saver, JL, Gonzalez, MO, Singh, N, Jones, WJ, Ornelas, D, Gonzales, NR, Alexandrov, AW, Alexandrov, AV, Nour, M, Spokoyny, I, Mackey, J, Collins, SQ, Silnes, K, Fink, ME, English, J, Barazangi, N, Bratina, PL, Volpi, J, Rao, CPV, Griffin, L, Persse, D & Grotta, JC 2024, , Annals of Neurology, vol. 95, no. 2, pp. 347-361. https://doi.org/10.1002/ana.26816

METHOD OF CT DENOISING EMPLOYING DEEP LEARNING OF MULTIPLE CO-REGISTERED SCANS OF THE SAME PERSON AND GROUP CONVOLUTIONAL NEURAL NETWORK ANALYSES
Wong, K, Wong, ST & Volpi, JJ Oct. 27 2022, , Patent No. WO2022225580.

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, pp. 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