Andreas M. Rauschecker
Andreas M. Rauschecker
UCSF; Stanford University; University of Pennsylvania
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Cited by
Cited by
Anatomy of the visual word form area: adjacent cortical circuits and long-range white matter connections
JD Yeatman, AM Rauschecker, BA Wandell
Brain and language 125 (2), 146-155, 2013
Emerging applications of artificial intelligence in neuro-oncology
JD Rudie, AM Rauschecker, RN Bryan, C Davatzikos, S Mohan
Radiology 290 (3), 607-618, 2019
Learning to see words
BA Wandell, AM Rauschecker, JD Yeatman
Annual review of psychology 63, 31-53, 2012
Asynchronous broadband signals are the principal source of the BOLD response in human visual cortex
J Winawer, KN Kay, BL Foster, AM Rauschecker, J Parvizi, BA Wandell
Current Biology 23 (13), 1145-1153, 2013
Differential electrophysiological response during rest, self-referential, and non–self-referential tasks in human posteromedial cortex
M Dastjerdi, BL Foster, S Nasrullah, AM Rauschecker, RF Dougherty, ...
Proceedings of the National Academy of Sciences 108 (7), 3023-3028, 2011
Artificial intelligence for precision education in radiology
MT Duong, AM Rauschecker, JD Rudie, PH Chen, TS Cook, RN Bryan, ...
The British journal of radiology 92 (1103), 20190389, 2019
Changes in neural activity associated with learning to articulate novel auditory pseudowords by covert repetition
AM Rauschecker, A Pringle, KE Watkins
Human brain mapping 29 (11), 1231-1242, 2008
Artificial intelligence system approaching neuroradiologist-level differential diagnosis accuracy at brain MRI
AM Rauschecker, JD Rudie, L Xie, J Wang, MT Duong, EJ Botzolakis, ...
Radiology 295 (3), 626-637, 2020
Position sensitivity in the visual word form area
AM Rauschecker, RF Bowen, J Parvizi, BA Wandell
Proceedings of the National Academy of Sciences 109 (24), E1568-E1577, 2012
Reading impairment in a patient with missing arcuate fasciculus
AM Rauschecker, GK Deutsch, M Ben-Shachar, A Schwartzman, ...
Neuropsychologia 47 (1), 180-194, 2009
Neuroimaging of dilated perivascular spaces: from benign and pathologic causes to mimics
JD Rudie, AM Rauschecker, SA Nabavizadeh, S Mohan
Journal of Neuroimaging 28 (2), 139-149, 2018
Convolutional neural network for automated FLAIR lesion segmentation on clinical brain MR imaging
MT Duong, JD Rudie, J Wang, L Xie, S Mohan, JC Gee, AM Rauschecker
American Journal of Neuroradiology 40 (8), 1282-1290, 2019
Visual feature-tolerance in the reading network
AM Rauschecker, RF Bowen, LM Perry, AM Kevan, RF Dougherty, ...
Neuron 71 (5), 941-953, 2011
High-resolution MR imaging of the orbit in patients with retinoblastoma
AM Rauschecker, CV Patel, KW Yeom, CA Eisenhut, RS Gawande, ...
Radiographics 32 (5), 1307-1326, 2012
Multi-disease segmentation of gliomas and white matter hyperintensities in the BraTS data using a 3D convolutional neural network
JD Rudie, DA Weiss, R Saluja, AM Rauschecker, J Wang, L Sugrue, ...
Frontiers in Computational Neuroscience 13, 84, 2019
Three-dimensional U-Net convolutional neural network for detection and segmentation of intracranial metastases
JD Rudie, DA Weiss, JB Colby, AM Rauschecker, B Laguna, S Braunstein, ...
Radiology: Artificial Intelligence 3 (3), e200204, 2021
Human hippocampal increases in low-frequency power during associative prediction violations
J Chen, M Dastjerdi, BL Foster, KF LaRocque, AM Rauschecker, J Parvizi, ...
Neuropsychologia 51 (12), 2344-2351, 2013
The University of California San Francisco preoperative diffuse glioma MRI dataset
E Calabrese, JE Villanueva-Meyer, JD Rudie, AM Rauschecker, U Baid, ...
Radiology: Artificial Intelligence 4 (6), e220058, 2022
Combining radiomics and deep convolutional neural network features from preoperative MRI for predicting clinically relevant genetic biomarkers in glioblastoma
E Calabrese, JD Rudie, AM Rauschecker, JE Villanueva-Meyer, ...
Neuro-oncology advances 4 (1), vdac060, 2022
Diverse applications of artificial intelligence in neuroradiology
MT Duong, AM Rauschecker, S Mohan
Neuroimaging Clinics 30 (4), 505-516, 2020
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