Team Member

team member

Andreas Rauschecker, MD, PhD

Asst Professor In Residence
Radiology

Dr. Andreas Rauschecker is Principal Investigator of the Brain Research in Artificial Intelligence and Neuroimaging (BRAIN) laboratory at UCSF.  Dr. Rauschecker is a neuroradiologist and a neuroscientist by training.  He is interested in better understanding brain function and dysfunction through the use of magnetic resonance imaging, and specially through the use of advanced image analytics and artificial intelligence applied to brain imaging data.  Dr. Rauschecker completed his undergraduate education in Biology and Psychology at Georgetown University and a Master's in Neuroscience at Oxford University.  He obtained his MD and PhD (Neuroscience) degrees at Stanford University.  He then completed his residency training in diagnostic radiology at the University of Pennsylvania and his neuroradiology fellowship at UCSF.  In addition to directing his laboratory, Dr. Rauschecker is attending neuroradiologist at UCSF and Benioff Children’s Hospital, Associate Program Director of UCSF’s Neuroradiology Fellowship Program, Director of the Education Pillar of UCSF’s Center for Intelligent Imaging (ci2), and co-chair of UCSF’s Research Data Science Council.  In his spare time, Dr. Rauschecker loves exploring the outdoors, eating great food, and traveling to new places, especially with his family.

Publications: 

Automated Lesion and Feature Extraction Pipeline for Brain MRIs with Interpretability.

Neuroinformatics

Eghbali R, Nedelec P, Weiss D, Bhalerao R, Xie L, Rudie JD, Liu C, Sugrue LP, Rauschecker AM

Identification of Genomic Biomarkers of Disease Progression and Survival in Primary CNS Lymphoma.

Blood advances

Geng H, Mo SS, Chen L, Ballapuram A, Tsang M, Lu M, Rauschecker AM, Wen KW, Devine WP, Solomon DA, Rubenstein JL

Standardizing qualitative assessments of developing myelination on brain MRI.

European journal of paediatric neurology : EJPN : official journal of the European Paediatric Neurology Society

Rauschecker AM

Artificial Intelligence Outcome Prediction in Neonates with Encephalopathy (AI-OPiNE).

Radiology. Artificial intelligence

Lew CO, Calabrese E, Chen JV, Tang F, Chaudhari G, Lee A, Faro J, Juul S, Mathur A, McKinstry RC, Wisnowski JL, Rauschecker A, Wu YW, Li Y

The University of California San Francisco Adult Longitudinal Post-Treatment Diffuse Glioma (UCSF-ALPTDG) MRI Dataset.

Radiology. Artificial intelligence

Fields BKK, Calabrese E, Mongan J, Cha S, Hess CP, Sugrue LP, Chang SM, Luks TL, Villanueva-Meyer JE, Rauschecker AM, Rudie JD

The Brain Tumor Segmentation (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI.

ArXiv

Moawad AW, Janas A, Baid U, Ramakrishnan D, Jekel L, Krantchev K, Moy H, Saluja R, Osenberg K, Wilms K, Kaur M, Avesta A, Pedersen GC, Maleki N, Salimi M, Merkaj S, von Reppert M, Tillmans N, Lost J, Bousabarah K, Holler W, Lin M, Westerhoff M, Maresca R, Link KE, Tahon NH, Marcus D, Sotiras A, LaMontagne P, Chakrabarty S, Teytelboym O, Youssef A, Nada A, Velichko YS, Gennaro N, Connectome Students, Group of Annotators, Cramer J, Johnson DR, Kwan BYM, Petrovic B, Patro SN, Wu L, So T, Thompson G, Kam A, Perez-Carrillo GG, Lall N, Group of Approvers, Albrecht J, Anazodo U, Lingaru MG, Menze BH, Wiestler B, Adewole M, Anwar SM, Labella D, Li HB, Iglesias JE, Farahani K, Eddy J, Bergquist T, Chung V, Shinohara RT, Dako F, Wiggins W, Reitman Z, Wang C, Liu X, Jiang Z, Van Leemput K, Piraud M, Ezhov I, Johanson E, Meier Z, Familiar A, Kazerooni AF, Kofler F, Calabrese E, Aneja S, Chiang V, Ikuta I, Shafique U, Memon F, Conte GM, Bakas S, Rudie J, Aboian M

A multi-institutional meningioma MRI dataset for automated multi-sequence image segmentation.

Scientific data

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 F, Leu K, Maleki N, Menze B, Pajot M, Reitman ZJ, Rudie JD, Saluja R, Velichko Y, Wang C, Warman PI, Sollmann N, Diffley D, Nandolia KK, Warren DI, Hussain A, Fehringer JP, Bronstein Y, Deptula L, Stein EG, Taherzadeh M, Portela de Oliveira E, Haughey A, Kontzialis M, Saba L, Turner B, Brüßeler MMT, Ansari S, Gkampenis A, Weiss DM, Mansour A, Shawali IH, Yordanov N, Stein JM, Hourani R, Moshebah MY, Abouelatta AM, Rizvi T, Willms K, Martin DC, Okar A, D'Anna G, Taha A, Sharifi Y, Faghani S, Kite D, Pinho M, Haider MA, Alonso-Basanta M, Villanueva-Meyer J, Rauschecker AM, Nada A, Aboian M, Flanders A, Bakas S, Calabrese E

Differences in educational opportunity predict white matter development.

Developmental cognitive neuroscience

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

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

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

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

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

Wahlig SG, Nedelec P, Weiss DA, Rudie JD, Sugrue LP, Rauschecker AM

Bayesian Networks in Radiology.

Radiology. Artificial intelligence

Ma SX, Dhanaliwala AH, Rudie JD, Rauschecker AM, Roberts-Wolfe D, Haddawy P, Kahn CE

The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma.

ArXiv

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

Critical Appraisal of Artificial Intelligence-Enabled Imaging Tools Using the Levels of Evidence System.

AJNR. American journal of neuroradiology

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

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

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

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

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

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

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

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

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

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

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

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

Automated multiclass tissue segmentation of clinical brain MRIs with lesions.

NeuroImage. Clinical

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

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

Calabrese E, Rudie JD, Rauschecker AM, Villanueva-Meyer JE, Cha S

Rates of Incidental Findings in Brain Magnetic Resonance Imaging in Children.

JAMA neurology

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

Three-dimensional U-Net Convolutional Neural Network for Detection and Segmentation of Intracranial Metastases.

Radiology. Artificial intelligence

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

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

Duong MT, Rauschecker AM, Mohan S

Artificial Intelligence System Approaching Neuroradiologist-level Differential Diagnosis Accuracy at Brain MRI.

Radiology

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

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

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

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

Duong MT, Rudie JD, Wang J, Xie L, Mohan S, Gee JC, Rauschecker AM

Emerging Applications of Artificial Intelligence in Neuro-Oncology.

Radiology

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

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

Rudie JD, Rauschecker AM, Nabavizadeh SA, Mohan S

Esophageal Lichen Planus: Clinical and Radiographic Findings in Eight Patients.

AJR. American journal of roentgenology

Rauschecker AM, Levine MS, Whitson MJ, Tondon R, Rubesin SE, Furth EE, Metz DC

App Review Series: RadioGraphics.

Journal of digital imaging

Rauschecker AM, Cook TS

Asynchronous broadband signals are the principal source of the BOLD response in human visual cortex.

Current biology : CB

Winawer J, Kay KN, Foster BL, Rauschecker AM, Parvizi J, Wandell BA

Human hippocampal increases in low-frequency power during associative prediction violations.

Neuropsychologia

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

Rauschecker AM, Patel CV, Yeom KW, Eisenhut CA, Gawande RS, O'Brien JM, Ebrahimi KB, Daldrup-Link HE

Position sensitivity in the visual word form area.

Proceedings of the National Academy of Sciences of the United States of America

Rauschecker AM, Bowen RF, Parvizi J, Wandell BA

Problem of signal contamination in interhemispheric dual-sided subdural electrodes.

Epilepsia

Nune G, Winawer J, Rauschecker AM, Dastjerdi M, Foster BL, Wandell B, Parvizi J

Visual feature-tolerance in the reading network.

Neuron

Rauschecker AM, Bowen RF, Perry LM, Kevan AM, Dougherty RF, Wandell BA

Learning to see words.

Annual review of psychology

Wandell BA, Rauschecker AM, Yeatman JD

Illusions of visual motion elicited by electrical stimulation of human MT complex.

PloS one

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

Dastjerdi M, Foster BL, Nasrullah S, Rauschecker AM, Dougherty RF, Townsend JD, Chang C, Greicius MD, Menon V, Kennedy DP, Parvizi J

Reading impairment in a patient with missing arcuate fasciculus.

Neuropsychologia

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

Rauschecker AM, Solomon SG, Glennerster A

Phosphene threshold as a function of contrast of external visual stimuli.

Experimental brain research

Rauschecker AM, Bestmann S, Walsh V, Thilo KV