Andreas Rauschecker, MD, PhD
Assistant Professor
Radiology
School of Medicine

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.

• A multi-institutional meningioma MRI dataset for automated multi-sequence image segmentation.
  Scientific data 2024 LaBella D, Khanna O, McBurney-Lin S, Mclean R, Nedelec P, Rashid AS, Tahon NH, Altes T, Baid U, Bhalerao R, Dhemesh Y, Floyd S, Godfrey D, Hilal F, Janas A, Kazerooni A, Kent C, Kirkpatrick J, Kofler …
• Differences in educational opportunity predict white matter development.
  Developmental cognitive neuroscience 2024 Roy E, Van Rinsveld A, Nedelec P, Richie-Halford A, Rauschecker AM, Sugrue LP, Rokem A, McCandliss BD, Yeatman JD
• The University of California San Francisco Brain Metastases Stereotactic Radiosurgery (UCSF-BMSR) MRI Dataset.
  Radiology. Artificial intelligence 2024 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
• Automated neonatal nnU-Net brain MRI extractor trained on a large multi-institutional dataset.
  Scientific reports 2024 Chen JV, Li Y, Tang F, Chaudhari G, Lew C, Lee A, Rauschecker AM, Haskell-Mendoza AP, Wu YW, Calabrese E
• White matter and literacy: A dynamic system in flux.
  Developmental cognitive neuroscience 2024 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
• Reducing Gadolinium Contrast With Artificial Intelligence.
  Journal of magnetic resonance imaging : JMRI 2023 Tsui B, Calabrese E, Zaharchuk G, Rauschecker AM
• 3D U-Net for automated detection of multiple sclerosis lesions: utility of transfer learning from other pathologies.
  Frontiers in neuroscience 2023 Wahlig SG, Nedelec P, Weiss DA, Rudie JD, Sugrue LP, Rauschecker AM
• Bayesian Networks in Radiology.
  Radiology. Artificial intelligence 2023 Ma SX, Dhanaliwala AH, Rudie JD, Rauschecker AM, Roberts-Wolfe D, Haddawy P, Kahn CE
• Beyond the AJR: Deep Learning Shows Promise in the Detection of Retinal Hemorrhage on Pediatric Head CT.
  AJR. American journal of roentgenology 2023 George E, Rauschecker AM
• The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma.
  ArXiv 2023 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,…
• Critical Appraisal of Artificial Intelligence-Enabled Imaging Tools Using the Levels of Evidence System.
  AJNR. American journal of neuroradiology 2023 Pham N, Hill V, Rauschecker A, Lui Y, Niogi S, Fillipi CG, Chang P, Zaharchuk G, Wintermark M
• Tafasitamab at the blood-brain barrier.
  British journal of haematology 2023 Rauschecker AM, Mo SS, Randall M, Shen-Sampas J, Rubenstein JL
• Development of Gestational Age-Based Fetal Brain and Intracranial Volume Reference Norms Using Deep Learning.
  AJNR. American journal of neuroradiology 2022 Tran CBN, Nedelec P, Weiss DA, Rudie JD, Kini L, Sugrue LP, Glenn OA, Hess CP, Rauschecker AM
• The University of California San Francisco Preoperative Diffuse Glioma MRI Dataset.
  Radiology. Artificial intelligence 2022 Calabrese E, Villanueva-Meyer JE, Rudie JD, Rauschecker AM, Baid U, Bakas S, Cha S, Mongan JT, Hess CP
• Longitudinal Assessment of Posttreatment Diffuse Glioma Tissue Volumes with Three-dimensional Convolutional Neural Networks.
  Radiology. Artificial intelligence 2022 Rudie JD, Calabrese E, Saluja R, Weiss D, Colby JB, Cha S, Hess CP, Rauschecker AM, Sugrue LP, Villanueva-Meyer JE
• Deep Learning to Predict Neonatal and Infant Brain Age from Myelination on Brain MRI Scans.
  Radiology 2022 Chen JV, Chaudhari G, Hess CP, Glenn OA, Sugrue LP, Rauschecker AM, Li Y
• 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).
  Frontiers in oncology 2022 Kline C, Stoller S, Byer L, Samuel D, Lupo JM, Morrison MA, Rauschecker AM, Nedelec P, Faig W, Dubal DB, Fullerton HJ, Mueller S
• Application of a Domain-specific BERT for Detection of Speech Recognition Errors in Radiology Reports.
  Radiology. Artificial intelligence 2022 Chaudhari GR, Liu T, Chen TL, Joseph GB, Vella M, Lee YJ, Vu TH, Seo Y, Rauschecker AM, McCulloch CE, Sohn JH
• Diagnostic Approach to Pulsatile Tinnitus: A Narrative Review.
  JAMA otolaryngology-- head & neck surgery 2022 Narsinh KH, Hui F, Saloner D, Tu-Chan A, Sharon J, Rauschecker AM, Safoora F, Shah V, Meisel K, Amans MR
• Combining radiomics and deep convolutional neural network features from preoperative MRI for predicting clinically relevant genetic biomarkers in glioblastoma.
  Neuro-oncology advances 2022 Calabrese E, Rudie JD, Rauschecker AM, Villanueva-Meyer JE, Clarke JL, Solomon DA, Cha S
• Interinstitutional Portability of a Deep Learning Brain MRI Lesion Segmentation Algorithm.
  Radiology. Artificial intelligence 2021 Rauschecker AM, Gleason TJ, Nedelec P, Duong MT, Weiss DA, Calabrese E, Colby JB, Sugrue LP, Rudie JD, Hess CP
• Detection of Neoplasms by Metagenomic Next-Generation Sequencing of Cerebrospinal Fluid.
  JAMA neurology 2021 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…
• Automated multiclass tissue segmentation of clinical brain MRIs with lesions.
  NeuroImage. Clinical 2021 Weiss DA, Saluja R, Xie L, Gee JC, Sugrue LP, Pradhan A, Nick Bryan R, Rauschecker AM, Rudie JD
• Brain MRI Deep Learning and Bayesian Inference System Augments Radiology Resident Performance.
  Journal of digital imaging 2021 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
• Feasibility of Simulated Postcontrast MRI of Glioblastomas and Lower-Grade Gliomas by Using Three-dimensional Fully Convolutional Neural Networks.
  Radiology. Artificial intelligence 2021 Calabrese E, Rudie JD, Rauschecker AM, Villanueva-Meyer JE, Cha S
• Rates of Incidental Findings in Brain Magnetic Resonance Imaging in Children.
  JAMA neurology 2021 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…
• Three-dimensional U-Net Convolutional Neural Network for Detection and Segmentation of Intracranial Metastases.
  Radiology. Artificial intelligence 2021 Rudie JD, Weiss DA, Colby JB, Rauschecker AM, Laguna B, Braunstein S, Sugrue LP, Hess CP, Villanueva-Meyer JE
• Subspecialty-Level Deep Gray Matter Differential Diagnoses with Deep Learning and Bayesian Networks on Clinical Brain MRI: A Pilot Study.
  Radiology. Artificial intelligence 2020 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
• Diverse Applications of Artificial Intelligence in Neuroradiology.
  Neuroimaging clinics of North America 2020 Duong MT, Rauschecker AM, Mohan S
• Artificial Intelligence System Approaching Neuroradiologist-level Differential Diagnosis Accuracy at Brain MRI.
  Radiology 2020 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
• Medical Image Analysis: Human and Machine.
  Academic radiology 2020 Bryan RN, Davatzikos C, Herskovits EH, Mohan S, Rudie JD, Rauschecker AM
• Multi-Disease Segmentation of Gliomas and White Matter Hyperintensities in the BraTS Data Using a 3D Convolutional Neural Network.
  Frontiers in computational neuroscience 2019 Rudie JD, Weiss DA, Saluja R, Rauschecker AM, Wang J, Sugrue L, Bakas S, Colby JB
• Artificial intelligence for precision education in radiology.
  The British journal of radiology 2019 Duong MT, Rauschecker AM, Rudie JD, Chen PH, Cook TS, Bryan RN, Mohan S
• Convolutional Neural Network for Automated FLAIR Lesion Segmentation on Clinical Brain MR Imaging.
  AJNR. American journal of neuroradiology 2019 Duong MT, Rudie JD, Wang J, Xie L, Mohan S, Gee JC, Rauschecker AM
• Emerging Applications of Artificial Intelligence in Neuro-Oncology.
  Radiology 2019 Rudie JD, Rauschecker AM, Bryan RN, Davatzikos C, Mohan S
• Comparing Clinical Perimetry and Population Receptive Field Measures in Patients with Choroideremia.
  Investigative ophthalmology & visual science 2018 Silson EH, Aleman TS, Willett A, Serrano LW, Pearson DJ, Rauschecker AM, Maguire AM, Baker CI, Bennett J, Ashtari M
• Neuroimaging of Dilated Perivascular Spaces: From Benign and Pathologic Causes to Mimics.
  Journal of neuroimaging : official journal of the American Society of Neuroimaging 2017 Rudie JD, Rauschecker AM, Nabavizadeh SA, Mohan S
• Esophageal Lichen Planus: Clinical and Radiographic Findings in Eight Patients.
  AJR. American journal of roentgenology 2016 Rauschecker AM, Levine MS, Whitson MJ, Tondon R, Rubesin SE, Furth EE, Metz DC
• App Review Series: RadioGraphics.
  Journal of digital imaging 2016 Rauschecker AM, Cook TS
• Asynchronous broadband signals are the principal source of the BOLD response in human visual cortex.
  Current biology : CB 2013 Winawer J, Kay KN, Foster BL, Rauschecker AM, Parvizi J, Wandell BA
• Human hippocampal increases in low-frequency power during associative prediction violations.
  Neuropsychologia 2013 Chen J, Dastjerdi M, Foster BL, LaRocque KF, Rauschecker AM, Parvizi J, Wagner AD
• High-resolution MR imaging of the orbit in patients with retinoblastoma.
  Radiographics : a review publication of the Radiological Society of North America, Inc 2012 Rauschecker AM, Patel CV, Yeom KW, Eisenhut CA, Gawande RS, O'Brien JM, Ebrahimi KB, Daldrup-Link HE
• Anatomy of the visual word form area: adjacent cortical circuits and long-range white matter connections.
  Brain and language 2012 Yeatman JD, Rauschecker AM, Wandell BA
• Position sensitivity in the visual word form area.
  Proceedings of the National Academy of Sciences of the United States of America 2012 Rauschecker AM, Bowen RF, Parvizi J, Wandell BA
• Problem of signal contamination in interhemispheric dual-sided subdural electrodes.
  Epilepsia 2011 Nune G, Winawer J, Rauschecker AM, Dastjerdi M, Foster BL, Wandell B, Parvizi J
• Visual feature-tolerance in the reading network.
  Neuron 2011 Rauschecker AM, Bowen RF, Perry LM, Kevan AM, Dougherty RF, Wandell BA
• Learning to see words.
  Annual review of psychology 2011 Wandell BA, Rauschecker AM, Yeatman JD
• Illusions of visual motion elicited by electrical stimulation of human MT complex.
  PloS one 2011 Rauschecker AM, Dastjerdi M, Weiner KS, Witthoft N, Chen J, Selimbeyoglu A, Parvizi J
• Differential electrophysiological response during rest, self-referential, and non-self-referential tasks in human posteromedial cortex.
  Proceedings of the National Academy of Sciences of the United States of America 2011 Dastjerdi M, Foster BL, Nasrullah S, Rauschecker AM, Dougherty RF, Townsend JD, Chang C, Greicius MD, Menon V, Kennedy DP, Parvizi J
• Changes in neural activity associated with learning to articulate novel auditory pseudowords by covert repetition.
  Human brain mapping 2008 Rauschecker AM, Pringle A, Watkins KE
• Reading impairment in a patient with missing arcuate fasciculus.
  Neuropsychologia 2008 Rauschecker AM, Deutsch GK, Ben-Shachar M, Schwartzman A, Perry LM, Dougherty RF
• Stereo and motion parallax cues in human 3D vision: can they vanish without a trace?
  Journal of vision 2006 Rauschecker AM, Solomon SG, Glennerster A
• Phosphene threshold as a function of contrast of external visual stimuli.
  Experimental brain research 2004 Rauschecker AM, Bestmann S, Walsh V, Thilo KV