| 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 | 295 | 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 | 228 | 2019 |
| Learning to see words BA Wandell, AM Rauschecker, JD Yeatman Annual review of psychology 63 (1), 31-53, 2012 | 179 | 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 | 178 | 2013 |
| 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 | 173 | 2019 |
| 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 | 165 | 2011 |
| 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 | 140 | 2020 |
| 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 | 130 | 2008 |
| 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 | 98 | 2012 |
| 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 | 97 | 2018 |
| Reading impairment in a patient with missing arcuate fasciculus AM Rauschecker, GK Deutsch, M Ben-Shachar, A Schwartzman, ... Neuropsychologia 47 (1), 180-194, 2009 | 87 | 2009 |
| 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 | 84 | 2022 |
| 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 | 80 | 2019 |
| 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 | 58 | 2022 |
| 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 | 56 | 2021 |
| Visual feature-tolerance in the reading network AM Rauschecker, RF Bowen, LM Perry, AM Kevan, RF Dougherty, ... Neuron 71 (5), 941-953, 2011 | 55 | 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 | 53 | 2012 |
| The Brain Tumor Segmentation-Metastases (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI AW Moawad, A Janas, U Baid, D Ramakrishnan, R Saluja, N Ashraf, ... ArXiv, arXiv: 2306.00838 v2, 2024 | 48 | 2024 |
| Rates of incidental findings in brain magnetic resonance imaging in children Y Li, WK Thompson, C Reuter, R Nillo, T Jernigan, A Dale, LP Sugrue, ... JAMA neurology 78 (5), 578-587, 2021 | 47 | 2021 |
| 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 | 47 | 2019 |