ChristopherPaulHessMDPhD

PubMed

• 1 citations
  The University of California San Francisco Brain Metastases Stereotactic Radiosurgery (UCSF-BMSR) MRI Dataset.
  Jeffrey D Rudie, Rachit Saluja, David A Weiss, Pierre Nedelec, Evan Calabrese, John B Colby, Benjamin Laguna, John Mongan, Steve Braunstein, Christopher P Hess, Andrea...> ;Radiology. Artificial Intelligence. 2024 Mar 1
• Altered Iron and Microstructure in Huntington's Disease Subcortical Nuclei: Insight From 7T MRI.
  Yao, J., Morrison, M., Jakary, A., Avadiappan, S., Rowley, P., Glueck, J., Driscoll, T., Possin, K., Xu, D., Lupo, J., Geschwind, M., Nelson, A., Hess, C.> ;Journal of Magnetic Resonance Imaging. 2024 Jan 11
• Multicenter Study of Long-Term Outcomes and Quality of Life in PHACE Syndrome after Age 10.
  Mitchell Braun, Ilona J Frieden, Dawn H Siegel, Elizabeth George, Christopher P Hess, Christine K Fox, Sarah L Chamlin, Beth A Drolet, Denise Metry, Elena Pope, Julie ...> ;The Journal of Pediatrics. 2024 Apr 1
• Correlating Quantitative MRI-based Apparent Diffusion Coefficient Metrics with 24-month Neurodevelopmental Outcomes in Neonates from the HEAL Trial.
  Evan Calabrese, Yvonne Wu, Aaron Wolfe Scheffler, Jessica L Wisnowski, Robert C McKinstry, Amit Mathur, Hannah C Glass, Bryan A Comstock, Patrick J Heagerty, Sandra E ...> ;Radiology. 2023 Sep 1
• MRI of the Brain: What Is Driving Innovation in 2023?
  Christopher P Hess> ;Radiology. 2023 Sep 1
• 1 citations
  Implementation and prospective real-time evaluation of a generalized system for in-clinic deployment and validation of machine learning models in radiology.
  James R Hawkins, Marram P Olson, Ahmed Harouni, Ming Melvin Qin, Christopher P Hess, Sharmila Majumdar, Jason C Crane> ;PLOS Digital Health. 2023 Aug 1
• Does Pediatric Radiology Need Faster Horses? Rethinking Strategies to Workforce and Workflow.
  Jesse Courtier, Christopher P Hess> ;Academic Radiology. 2023 Sep 1
• What referring clinicians value most: Accuracy of radiology results and personal interactions with radiologists.
  Brian M Haas, Li Zhang, Heather Nichols, Nathan Orwig, Christopher P Hess, K Pallav Kolli> ;Clinical Imaging. 2023 May 1
• DeepSWI: Using Deep Learning to Enhance Susceptibility Contrast on T2*-Weighted MRI.
  Ozan Genc, Melanie A Morrison, Javier E Villanueva-Meyer, Brian Burns, Christopher P Hess, Suchandrima Banerjee, Janine M Lupo> ;Journal of Magnetic Resonance Imaging. 2023 Oct 1
• 2 citations
  Multi-tasking deep network for tinnitus classification and severity prediction from multimodal structural MR images.
  Chieh-Te Lin, Sanjay Ghosh, Leighton B Hinkley, Corby L Dale, Ana C S Souza, Jennifer H Sabes, Christopher P Hess, Meredith E Adams, Steven W Cheung, Srikantan S Nagar...> ;Journal of Neural Engineering. 2023 Jan 18
• Development of Gestational Age-Based Fetal Brain and Intracranial Volume Reference Norms Using Deep Learning.
  C B N Tran, P Nedelec, D A Weiss, J D Rudie, L Kini, L P Sugrue, O A Glenn, C P Hess, A M Rauschecker> ;AJNR. American Journal of Neuroradiology. 2023 Jan 1
• 3 citations
  Comparison of quantitative susceptibility mapping methods for iron-sensitive susceptibility imaging at 7T: An evaluation in healthy subjects and patients with Huntingt...
  Jingwen Yao, Melanie A Morrison, Angela Jakary, Sivakami Avadiappan, Yicheng Chen, Johanna Luitjens, Julia Glueck, Theresa Driscoll, Michael D Geschwind, Alexandra B N...> ;Neuroimage. 2023 Jan 1
• 2 citations
  Survey of the American Society of Neuroradiology Membership on the Use and Value of Extracranial Carotid Vessel Wall MRI.
  M Mossa-Basha, C Yuan, B A Wasserman, D J Mikulis, T S Hatsukami, N Balu, A Gupta, C Zhu, L Saba, D Li, J K DeMarco, V T Lehman, Y Qiao, H R Jager, M Wintermark, W Bri...> ;AJNR. American Journal of Neuroradiology. 2022 Dec 1
• 10 citations
  The University of California San Francisco Preoperative Diffuse Glioma MRI Dataset.
  Evan Calabrese, Javier E Villanueva-Meyer, Jeffrey D Rudie, Andreas M Rauschecker, Ujjwal Baid, Spyridon Bakas, Soonmee Cha, John T Mongan, Christopher P Hess> ;Radiology. Artificial Intelligence. 2022 Nov 1
• 6 citations
  Longitudinal Assessment of Posttreatment Diffuse Glioma Tissue Volumes with Three-dimensional Convolutional Neural Networks.
  Jeffrey D Rudie, Evan Calabrese, Rachit Saluja, David Weiss, John B Colby, Soonmee Cha, Christopher P Hess, Andreas M Rauschecker, Leo P Sugrue, Javier E Villanueva-Meyer> ;Radiology. Artificial Intelligence. 2022 Sep 1
• 6 citations
  Deep Learning to Predict Neonatal and Infant Brain Age from Myelination on Brain MRI Scans.
  Joshua Vic Chen, Gunvant Chaudhari, Christopher P Hess, Orit A Glenn, Leo P Sugrue, Andreas M Rauschecker, Yi Li> ;Radiology. 2022 Dec 1
• 3 citations
  Magnetic Resonance Imaging as an Alternative to Contrast-Enhanced Computed Tomography to Mitigate Iodinated Contrast Shortages in the United States: Recommendations Fr...
  Scott B Reeder, Christopher P Hess, Greg Zaharchuk, Linda Moy> ;Journal of Magnetic Resonance Imaging. 2022 Sep 1
• 1 citations
  Comparison of quantitative susceptibility mapping methods on evaluating radiation-induced cerebral microbleeds and basal ganglia at 3T and 7T.
  Yicheng Chen, Ozan Genc, Clare B Poynton, Suchandrima Banerjee, Christopher P Hess, Janine M Lupo> ;NMR in Biomedicine. 2022 May 1
• 2 citations
  Clinical language search algorithm from free-text: facilitating appropriate imaging.
  Gunvant R Chaudhari, Yeshwant R Chillakuru, Timothy L Chen, Valentina Pedoia, Thienkhai H Vu, Christopher P Hess, Youngho Seo, Jae Ho Sohn> ;BMC Medical Imaging. 2022 Feb 4
• 3 citations
  Functional network alterations in young brain tumor patients with radiotherapy-induced memory impairments and vascular injury.
  Melanie A Morrison, Sadie Walter, Sabine Mueller, Erin Felton, Angela Jakary, Schuyler Stoller, Annette M Molinaro, Steve E Braunstein, Christopher P Hess, Janine M Lupo> ;Frontiers in Neurology. 2022 Jan 1
• 15 citations
  Interinstitutional Portability of a Deep Learning Brain MRI Lesion Segmentation Algorithm
  Andreas M. Rauschecker, Tyler Gleason, Pierre Nedelec, Michael Tran Duong, David A. Weiss, Evan Calabrese, John B. Colby, Leo P. Sugrue, Jeffrey D. Rudie, Christopher ...> ;Radiology. Artificial Intelligence. 2021 Nov 10
• 2 citations
  Longitudinal analysis of regional brain changes in anti-NMDAR encephalitis: a case report
  Ryan M. Nillo, Iris J. Broce, Besim Uzgil, Nilika S. Singhal, Christine M. Glastonbury, Christopher P. Hess, James Barkovich, Rahul S. Desikan, Leo P. Sugrue> ;BMC Neurology. 2021 Oct 27
• 7 citations
  Striatal networks for tinnitus treatment targeting.
  Leighton B. Hinkley, Paul S. Larson, Jennifer Henderson Sabes, Danielle Mizuiri, Carly Demopoulos, Meredith E. Adams, Thomas C. Neylan, Christopher P. Hess, Srikantan ...> ;Human Brain Mapping. 2021 Oct 5
• 154 citations
  Federated learning for predicting clinical outcomes in patients with COVID-19.
  Ittai Dayan, Holger R. Roth, Aoxiao Zhong, Ahmed Harouni, Amilcare Gentili, Anas Z. Abidin, Andrew Liu, Anthony Costa, Bradford J. Wood, Chien-Sung Tsai, Chih-Hung Wan...> ;Nature Medicine. 2021 Sep 15
• 17 citations
  Roadmap Consensus on Carotid Artery Plaque Imaging and Impact on Therapy Strategies and Guidelines: An International, Multispecialty, Expert Review and Position Statement
  Laura Saba, Waleed Brinjikji, J. D. Spence, Max Wintermark, Mauricio Castillo, Gert J. de Borst, Qi Yang, Chun Yuan, Andrew J. Buckler, Myriam Edjlali, Tobias Saam, Da...> ;AJNR. American Journal of Neuroradiology. 2021 Sep 1
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Journal Articles

• Hyperpolarized 13C MRI: State of the Art and Future Directions  
  Zhen J Wang, Michael A Ohliger, Robert A Bok, Christopher P Hess, Radiological Society of North America
• Dissecting the Genetic Relationship Between Cardiovascular Risk Factors and Alzheimer’s Disease  
  Christine M Glastonbury, Fanny M Elahi, Reisa A Sperling, William P Dillon, Lindsay A Farrer, Rahul S Desikan, Christopher P Hess, James B Brewer, Bradley T Hyman, Kri..., Acta Neuropathologica
• Neuroimaging in Dementia  
  Michael D Geschwind, Fanny M Elahi, Christopher P Hess, Seminars in Neurology

Lectures

• A User-Guided Tool for Semi-Automated Cerebral Microbleed Detection and Volume Segmentation: Evaluating Vascular Injury and Data Labelling for Machine Learning 
  University of California, San Francisco, San Francisco, California - 10/27/2012
• A User-Guided Tool for Semi-Automated Cerebral Microbleed Detection and Volume Segmentation: Evaluating Vascular Injury and Data Labelling for Machine Learning 
  University of California, San Francisco, Scottsdale, Arizona - 3/3/2013