Andreas Rauschecker, MD, PhD

Assistant Professor
Associate Director, Neuroradiology Fellowship Program
Asst Professor In Residence
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Biography

Dr. Andreas Rauschecker is a neuroradiologist who cares for both adults and children. He specializes in using advanced imaging technologies, such as CT and MRI, to diagnose nervous system disorders. He also treats patients by means of image-guided procedures and uses his expertise to assist colleagues in managing and treating their patients.

In research, Rauschecker focuses on using modern technology to understand the brain in conditions of health and disease. Specifically, he uses artificial intelligence and advanced image-processing techniques to investigate the brain and its appearance in relation to disease, with the goal of improving the information he can provide to patients and other doctors.

Before going to medical school, Rauschecker earned a master's degree in neuroscience from the University of Oxford. He earned his medical degree and a doctorate in neuroscience from Stanford University Medical School. He completed a residency in diagnostic radiology at the University of Pennsylvania's Perelman School of Medicine, followed by a fellowship in neuroradiology at UCSF.

Rauschecker has received numerous honors for his work, including awards from the Radiological Society of North America and American Society of Neuroradiology.

Education

Fellowship in Neuroradiology, 06/2020 - Neuroradiology, University of California, San Francisco
02/2020 - Diversity, Equity, and Inclusion Champion Training, University of California
Residency, 06/2018 - Diagnostic Radiology, University of Pennsylvania
MD PhD, 06/2013 - Neuroscience, Medical School, Stanford University
M.Sc., 08/2005 - Neuroscience, Oxford University
B.S., 06/2004 - Biology & Psychology, Georgetown University

Honors and Awards

ASNR Trainee Award, 2020
RSNA Research Scholar Award, 2020
ASNR/ASfNR MIT-E Scholarship, 2019
RSNA Roentgen Fellow Research Award, 2019
Roger A. Bauman, MD Award, SIIM, 2019
ACR-AUR Research Scholar Program, 2018
NVIDIA GPU Seed Grant, 2018
RSNA Roentgen Resident Research Award, 2018
RSNA Resident Research Grant, 2017
RSNA Magna Cum Laude Award, 2016
RSNA Certificate of Merit Award, 2015
Mary Duke Biddle Clinical Scholars Program, Stanford University, 2013
Stanford Bio-X Graduate Student Fellowship, Stanford University, 2008
Clarendon Fund Scholarship, Oxford University, 2004
Howard Hughes Undergraduate Research Scholar, Georgetown University, 2000-2004

Publications

Chen JV, Li Y, Tang F, Chaudhari G, Lew C, Lee A, Rauschecker AM, Haskell-Mendoza AP, Wu YW, Calabrese E. Automated neonatal nnU-Net brain MRI extractor trained on a large multi-institutional dataset. Sci Rep. 2024 02 26; 14(1):4583.
Rudie JD, Saluja R, Weiss DA, Nedelec P, Calabrese E, Colby JB, Laguna B, Mongan J, Braunstein S, Hess CP, Rauschecker AM, Sugrue LP, Villanueva-Meyer JE. The University of California San Francisco, Brain Metastases Stereotactic Radiosurgery (UCSF-BMSR) MRI Dataset. Radiol Artif Intell. 2024 Feb 21; e230126.
Roy E, Richie-Halford A, Kruper J, Narayan M, Bloom D, Nedelec P, Rauschecker AM, Sugrue LP, Brown TT, Jernigan TL, McCandliss BD, Rokem A, Yeatman JD. White matter and literacy: A dynamic system in flux. Dev Cogn Neurosci. 2024 Feb; 65:101341.
Tsui B, Calabrese E, Zaharchuk G, Rauschecker AM. Reducing Gadolinium Contrast With Artificial Intelligence. J Magn Reson Imaging. 2023 Oct 31.
Wahlig SG, Nedelec P, Weiss DA, Rudie JD, Sugrue LP, Rauschecker AM. 3D U-Net for automated detection of multiple sclerosis lesions: utility of transfer learning from other pathologies. Front Neurosci. 2023; 17:1188336.
Ma SX, Dhanaliwala AH, Rudie JD, Rauschecker AM, Roberts-Wolfe D, Haddawy P, Kahn CE. Bayesian Networks in Radiology. Radiol Artif Intell. 2023 Nov; 5(6):e210187.
George E, Rauschecker AM. Beyond the AJR: Deep Learning Shows Promise in the Detection of Retinal Hemorrhage on Pediatric Head CT. AJR Am J Roentgenol. 2023 08 23.
LaBella D, Adewole M, Alonso-Basanta M, Altes T, Anwar SM, Baid U, Bergquist T, Bhalerao R, Chen S, Chung V, Conte GM, Dako F, Eddy J, Ezhov I, Godfrey D, Hilal F, Familiar A, Farahani K, Iglesias JE, Jiang Z, Johanson E, Kazerooni AF, Kent C, Kirkpatrick J, Kofler F, Leemput KV, Li HB, Liu X, Mahtabfar A, McBurney-Lin S, McLean R, Meier Z, Moawad AW, Mongan J, Nedelec P, Pajot M, Piraud M, Rashid A, Reitman Z, Shinohara RT, Velichko Y, Wang C, Warman P, Wiggins W, Aboian M, Albrecht J, Anazodo U, Bakas S, Flanders A, Janas A, Khanna G, Linguraru MG, Menze B, Nada A, Rauschecker AM, Rudie J, Tahon NH, Villanueva-Meyer J, Wiestler B, Calabrese E. The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma. ArXiv. 2023 May 12.
Pham N, Hill V, Rauschecker A, Lui Y, Niogi S, Fillipi CG, Chang P, Zaharchuk G, Wintermark M. Critical Appraisal of Artificial Intelligence-Enabled Imaging Tools Using the Levels of Evidence System. AJNR Am J Neuroradiol. 2023 05; 44(5):E21-E28.
Rauschecker AM, Mo SS, Randall M, Shen-Sampas J, Rubenstein JL. Tafasitamab at the blood-brain barrier. Br J Haematol. 2023 04; 201(1):154-157.
Tran CBN, Nedelec P, Weiss DA, Rudie JD, Kini L, Sugrue LP, Glenn OA, Hess CP, Rauschecker AM. Development of Gestational Age-Based Fetal Brain and Intracranial Volume Reference Norms Using Deep Learning. AJNR Am J Neuroradiol. 2023 01; 44(1):82-90.
Calabrese E, Villanueva-Meyer JE, Rudie JD, Rauschecker AM, Baid U, Bakas S, Cha S, Mongan JT, Hess CP. The University of California San Francisco Preoperative Diffuse Glioma MRI Dataset. Radiol Artif Intell. 2022 Nov; 4(6):e220058.
Rudie JD, Calabrese E, Saluja R, Weiss D, Colby JB, Cha S, Hess CP, Rauschecker AM, Sugrue LP, Villanueva-Meyer JE. Longitudinal Assessment of Posttreatment Diffuse Glioma Tissue Volumes with Three-dimensional Convolutional Neural Networks. Radiol Artif Intell. 2022 Sep; 4(5):e210243.
Chen JV, Chaudhari G, Hess CP, Glenn OA, Sugrue LP, Rauschecker AM, Li Y. Deep Learning to Predict Neonatal and Infant Brain Age from Myelination on Brain MRI Scans. Radiology. 2022 Dec; 305(3):678-687.
Kline C, Stoller S, Byer L, Samuel D, Lupo JM, Morrison MA, Rauschecker AM, Nedelec P, Faig W, Dubal DB, Fullerton HJ, Mueller S. An Integrated Analysis of Clinical, Genomic, and Imaging Features Reveals Predictors of Neurocognitive Outcomes in a Longitudinal Cohort of Pediatric Cancer Survivors, Enriched with CNS Tumors (Rad ART Pro). Front Oncol. 2022; 12:874317.
Chaudhari GR, Liu T, Chen TL, Joseph GB, Vella M, Lee YJ, Vu TH, Seo Y, Rauschecker AM, McCulloch CE, Sohn JH. Application of a Domain-specific BERT for Detection of Speech Recognition Errors in Radiology Reports. Radiol Artif Intell. 2022 Jul; 4(4):e210185.
Narsinh KH, Hui F, Saloner D, Tu-Chan A, Sharon J, Rauschecker AM, Safoora F, Shah V, Meisel K, Amans MR. Diagnostic Approach to Pulsatile Tinnitus: A Narrative Review. JAMA Otolaryngol Head Neck Surg. 2022 05 01; 148(5):476-483.
Calabrese E, Rudie JD, Rauschecker AM, Villanueva-Meyer JE, Clarke JL, Solomon DA, Cha S. Combining radiomics and deep convolutional neural network features from preoperative MRI for predicting clinically relevant genetic biomarkers in glioblastoma. Neurooncol Adv. 2022 Jan-Dec; 4(1):vdac060.
Rauschecker AM, Gleason TJ, Nedelec P, Duong MT, Weiss DA, Calabrese E, Colby JB, Sugrue LP, Rudie JD, Hess CP. Interinstitutional Portability of a Deep Learning Brain MRI Lesion Segmentation Algorithm. Radiol Artif Intell. 2022 Jan; 4(1):e200152.
Gu W, Rauschecker AM, Hsu E, Zorn KC, Sucu Y, Federman S, Gopez A, Arevalo S, Sample HA, Talevich E, Nguyen ED, Gottschall M, Nourbakhsh B, Gold CA, Cree BAC, Douglas VC, Richie MB, Shah MP, Josephson SA, Gelfand JM, Miller S, Wang L, Tihan T, DeRisi JL, Chiu CY, Wilson MR. Detection of Neoplasms by Metagenomic Next-Generation Sequencing of Cerebrospinal Fluid. JAMA Neurol. 2021 11 01; 78(11):1355-1366.
Weiss DA, Saluja R, Xie L, Gee JC, Sugrue LP, Pradhan A, Nick Bryan R, Rauschecker AM, Rudie JD. Automated multiclass tissue segmentation of clinical brain MRIs with lesions. Neuroimage Clin. 2021; 31:102769.
Rudie JD, Duda J, Duong MT, Chen PH, Xie L, Kurtz R, Ware JB, Choi J, Mattay RR, Botzolakis EJ, Gee JC, Bryan RN, Cook TS, Mohan S, Nasrallah IM, Rauschecker AM. Brain MRI Deep Learning and Bayesian Inference System Augments Radiology Resident Performance. J Digit Imaging. 2021 08; 34(4):1049-1058.
Calabrese E, Rudie JD, Rauschecker AM, Villanueva-Meyer JE, Cha S. Feasibility of Simulated Postcontrast MRI of Glioblastomas and Lower-Grade Gliomas by Using Three-dimensional Fully Convolutional Neural Networks. Radiol Artif Intell. 2021 Sep; 3(5):e200276.
Li Y, Thompson WK, Reuter C, Nillo R, Jernigan T, Dale A, Sugrue LP, ABCD Consortium, Brown J, Dougherty RF, Rauschecker A, Rudie J, Barch DM, Calhoun V, Hagler D, Hatton S, Tanabe J, Marshall A, Sher KJ, Heeringa S, Hermosillo R, Banich MT, Squeglia L, Bjork J, Zucker R, Neale M, Herting M, Sheth C, Huber R, Reeves G, Hettema JM, Howlett KD, Cloak C, Baskin-Sommers A, Rapuano K, Gonzalez R, Karcher N, Laird A, Baker F, James R, Sowell E, Dick A, Hawes S, Sutherland M, Bagot K, Bodurka J, Breslin F, Morris A, Paulus M, Gray K, Hoffman E, Weiss S, Rajapakse N, Glantz M, Nagel B, Ewing SF, Goldstone A, Pfefferbaum A, Prouty D, Rosenberg M, Bookheimer S, Tapert S, Infante M, Jacobus J, Giedd J, Shilling P, Wade N, Uban K, Haist F, Heyser C, Palmer C, Kuperman J, Hewitt J, Cottler L, Isaiah A, Chang L, Edwards S, Ernst T, Heitzeg M, Puttler L, Sripada C, Iacono W, Luciana M, Clark D, Luna B, Schirda C, Foxe J, Freedman E, Mason M, McGlade E, Renshaw P, Yurgelun-Todd D, Albaugh M, Allgaier N, Chaarani B, Potter A, Ivanova M, Lisdahl K, Do E, Maes H, Bogdan R, Anokhin A, Dosenbach N, Glaser P, Heath A, Casey BJ, Gee D, Garavan HP, Dowling G, Brown S. Rates of Incidental Findings in Brain Magnetic Resonance Imaging in Children. JAMA Neurol. 2021 05 01; 78(5):578-587.
Rudie JD, Weiss DA, Colby JB, Rauschecker AM, Laguna B, Braunstein S, Sugrue LP, Hess CP, Villanueva-Meyer JE. Three-dimensional U-Net Convolutional Neural Network for Detection and Segmentation of Intracranial Metastases. Radiol Artif Intell. 2021 May; 3(3):e200204.
Rudie JD, Rauschecker AM, Xie L, Wang J, Duong MT, Botzolakis EJ, Kovalovich A, Egan JM, Cook T, Bryan RN, Nasrallah IM, Mohan S, Gee JC. Subspecialty-Level Deep Gray Matter Differential Diagnoses with Deep Learning and Bayesian Networks on Clinical Brain MRI: A Pilot Study. Radiol Artif Intell. 2020 Sep; 2(5):e190146.
Duong MT, Rauschecker AM, Mohan S. Diverse Applications of Artificial Intelligence in Neuroradiology. Neuroimaging Clin N Am. 2020 Nov; 30(4):505-516.
Rauschecker AM, Rudie JD, Xie L, Wang J, Duong MT, Botzolakis EJ, Kovalovich AM, Egan J, Cook TC, Bryan RN, Nasrallah IM, Mohan S, Gee JC. Artificial Intelligence System Approaching Neuroradiologist-level Differential Diagnosis Accuracy at Brain MRI. Radiology. 2020 06; 295(3):626-637.
Bryan RN, Davatzikos C, Herskovits EH, Mohan S, Rudie JD, Rauschecker AM. Medical Image Analysis: Human and Machine. Acad Radiol. 2020 01; 27(1):76-81.
Rudie JD, Weiss DA, Saluja R, Rauschecker AM, Wang J, Sugrue L, Bakas S, Colby JB. Multi-Disease Segmentation of Gliomas and White Matter Hyperintensities in the BraTS Data Using a 3D Convolutional Neural Network. Front Comput Neurosci. 2019; 13:84.
Duong MT, Rauschecker AM, Rudie JD, Chen PH, Cook TS, Bryan RN, Mohan S. Artificial intelligence for precision education in radiology. Br J Radiol. 2019 Nov; 92(1103):20190389.
Duong MT, Rudie JD, Wang J, Xie L, Mohan S, Gee JC, Rauschecker AM. Convolutional Neural Network for Automated FLAIR Lesion Segmentation on Clinical Brain MR Imaging. AJNR Am J Neuroradiol. 2019 08; 40(8):1282-1290.
Rudie JD, Rauschecker AM, Bryan RN, Davatzikos C, Mohan S. Emerging Applications of Artificial Intelligence in Neuro-Oncology. Radiology. 2019 03; 290(3):607-618.
Silson EH, Aleman TS, Willett A, Serrano LW, Pearson DJ, Rauschecker AM, Maguire AM, Baker CI, Bennett J, Ashtari M. Comparing Clinical Perimetry and Population Receptive Field Measures in Patients with Choroideremia. Invest Ophthalmol Vis Sci. 2018 07 02; 59(8):3249-3258.
Rudie JD, Rauschecker AM, Nabavizadeh SA, Mohan S. Neuroimaging of Dilated Perivascular Spaces: From Benign and Pathologic Causes to Mimics. J Neuroimaging. 2018 03; 28(2):139-149.
Rauschecker AM, Levine MS, Whitson MJ, Tondon R, Rubesin SE, Furth EE, Metz DC. Esophageal Lichen Planus: Clinical and Radiographic Findings in Eight Patients. AJR Am J Roentgenol. 2017 Jan; 208(1):101-106.
Rauschecker AM, Cook TS. App Review Series: RadioGraphics. J Digit Imaging. 2016 06; 29(3):279-83.
Winawer J, Kay KN, Foster BL, Rauschecker AM, Parvizi J, Wandell BA. Asynchronous broadband signals are the principal source of the BOLD response in human visual cortex. Curr Biol. 2013 Jul 08; 23(13):1145-53.
Chen J, Dastjerdi M, Foster BL, LaRocque KF, Rauschecker AM, Parvizi J, Wagner AD. Human hippocampal increases in low-frequency power during associative prediction violations. Neuropsychologia. 2013 Oct; 51(12):2344-51.
Rauschecker AM, Patel CV, Yeom KW, Eisenhut CA, Gawande RS, O'Brien JM, Ebrahimi KB, Daldrup-Link HE. High-resolution MR imaging of the orbit in patients with retinoblastoma. Radiographics. 2012 Sep-Oct; 32(5):1307-26.
Yeatman JD, Rauschecker AM, Wandell BA. Anatomy of the visual word form area: adjacent cortical circuits and long-range white matter connections. Brain Lang. 2013 May; 125(2):146-55.
Rauschecker AM, Bowen RF, Parvizi J, Wandell BA. Position sensitivity in the visual word form area. Proc Natl Acad Sci U S A. 2012 Jun 12; 109(24):E1568-77.
Nune G, Winawer J, Rauschecker AM, Dastjerdi M, Foster BL, Wandell B, Parvizi J. Problem of signal contamination in interhemispheric dual-sided subdural electrodes. Epilepsia. 2011 Nov; 52(11):e176-80.
Rauschecker AM, Bowen RF, Perry LM, Kevan AM, Dougherty RF, Wandell BA. Visual feature-tolerance in the reading network. Neuron. 2011 Sep 08; 71(5):941-53.
Wandell BA, Rauschecker AM, Yeatman JD. Learning to see words. Annu Rev Psychol. 2012; 63:31-53.
Rauschecker AM, Dastjerdi M, Weiner KS, Witthoft N, Chen J, Selimbeyoglu A, Parvizi J. Illusions of visual motion elicited by electrical stimulation of human MT complex. PLoS One. 2011; 6(7):e21798.
Dastjerdi M, Foster BL, Nasrullah S, Rauschecker AM, Dougherty RF, Townsend JD, Chang C, Greicius MD, Menon V, Kennedy DP, Parvizi J. Differential electrophysiological response during rest, self-referential, and non-self-referential tasks in human posteromedial cortex. Proc Natl Acad Sci U S A. 2011 Feb 15; 108(7):3023-8.
Rauschecker AM, Pringle A, Watkins KE. Changes in neural activity associated with learning to articulate novel auditory pseudowords by covert repetition. Hum Brain Mapp. 2008 Nov; 29(11):1231-42.
Rauschecker AM, Deutsch GK, Ben-Shachar M, Schwartzman A, Perry LM, Dougherty RF. Reading impairment in a patient with missing arcuate fasciculus. Neuropsychologia. 2009 Jan; 47(1):180-94.
Rauschecker AM, Solomon SG, Glennerster A. Stereo and motion parallax cues in human 3D vision: can they vanish without a trace? J Vis. 2006 Dec 19; 6(12):1471-85.
Rauschecker AM, Bestmann S, Walsh V, Thilo KV. Phosphene threshold as a function of contrast of external visual stimuli. Exp Brain Res. 2004 Jul; 157(1):124-7.