Year |
Citation |
Score |
2024 |
Roy E, Van Rinsveld A, Nedelec P, Richie-Halford A, Rauschecker AM, Sugrue LP, Rokem A, McCandliss BD, Yeatman JD. Differences in educational opportunity predict white matter development. Developmental Cognitive Neuroscience. 67: 101386. PMID 38676989 DOI: 10.1016/j.dcn.2024.101386 |
0.516 |
|
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. White matter and literacy: A dynamic system in flux. Developmental Cognitive Neuroscience. 65: 101341. PMID 38219709 DOI: 10.1016/j.dcn.2024.101341 |
0.53 |
|
2018 |
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. Investigative Ophthalmology & Visual Science. 59: 3249-3258. PMID 29971442 DOI: 10.1167/Iovs.18-23929 |
0.352 |
|
2013 |
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. Current Biology : Cb. 23: 1145-53. PMID 23770184 DOI: 10.1016/J.Cub.2013.05.001 |
0.672 |
|
2013 |
Yeatman JD, Rauschecker AM, Wandell BA. Anatomy of the visual word form area: adjacent cortical circuits and long-range white matter connections. Brain and Language. 125: 146-55. PMID 22632810 DOI: 10.1016/j.bandl.2012.04.010 |
0.618 |
|
2012 |
Rauschecker AM, Bowen RF, Parvizi J, Wandell BA. Position sensitivity in the visual word form area. Proceedings of the National Academy of Sciences of the United States of America. 109: E1568-77. PMID 22570498 DOI: 10.1073/pnas.1121304109 |
0.594 |
|
2012 |
Wandell BA, Rauschecker AM, Yeatman JD. Learning to see words. Annual Review of Psychology. 63: 31-53. PMID 21801018 DOI: 10.1146/annurev-psych-120710-100434 |
0.576 |
|
2011 |
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. 52: e176-80. PMID 21973215 DOI: 10.1111/J.1528-1167.2011.03284.X |
0.646 |
|
2011 |
Rauschecker AM, Bowen RF, Perry LM, Kevan AM, Dougherty RF, Wandell BA. Visual feature-tolerance in the reading network. Neuron. 71: 941-53. PMID 21903085 DOI: 10.1016/J.Neuron.2011.06.036 |
0.58 |
|
2011 |
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. 6: e21798. PMID 21765915 DOI: 10.1371/Journal.Pone.0021798 |
0.407 |
|
2011 |
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. Proceedings of the National Academy of Sciences of the United States of America. 108: 3023-8. PMID 21282630 DOI: 10.1073/Pnas.1017098108 |
0.364 |
|
2011 |
Winawer J, Rauschecker AM, Parvizi J, Wandell BA. Population receptive fields in human visual cortex measured with subdural electrodes Journal of Vision. 11: 1196-1196. DOI: 10.1167/11.11.1196 |
0.66 |
|
2009 |
Rauschecker AM, Deutsch GK, Ben-Shachar M, Schwartzman A, Perry LM, Dougherty RF. Reading impairment in a patient with missing arcuate fasciculus. Neuropsychologia. 47: 180-94. PMID 18775735 DOI: 10.1016/J.Neuropsychologia.2008.08.011 |
0.328 |
|
2009 |
Rauschecker A, Dougherty R, Perry L, Ben-Shachar M, Wandell B. Cue-Invariant Responses in Posterior Occipitotemporal Sulcus to Visual Word Forms Neuroimage. 47: S120. DOI: 10.1016/S1053-8119(09)71131-0 |
0.57 |
|
2008 |
Rauschecker AM, Pringle A, Watkins KE. Changes in neural activity associated with learning to articulate novel auditory pseudowords by covert repetition. Human Brain Mapping. 29: 1231-42. PMID 17948887 DOI: 10.1002/hbm.20460 |
0.557 |
|
2004 |
Rauschecker AM, Bestmann S, Walsh V, Thilo KV. Phosphene threshold as a function of contrast of external visual stimuli. Experimental Brain Research. 157: 124-7. PMID 15164153 DOI: 10.1007/S00221-004-1910-5 |
0.584 |
|
Low-probability matches (unlikely to be authored by this person) |
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. Artificial Intelligence System Approaching Neuroradiologist-level Differential Diagnosis Accuracy at Brain MRI. Radiology. 190283. PMID 32255417 DOI: 10.1148/Radiol.2020190283 |
0.286 |
|
2019 |
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. American Journal of Neuroradiology. PMID 31345943 DOI: 10.3174/Ajnr.A6138 |
0.284 |
|
2019 |
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. Frontiers in Computational Neuroscience. 13: 84. PMID 31920609 DOI: 10.3389/Fncom.2019.00084 |
0.28 |
|
2017 |
Rudie JD, Rauschecker AM, Nabavizadeh SA, Mohan S. Neuroimaging of Dilated Perivascular Spaces: From Benign and Pathologic Causes to Mimics. Journal of Neuroimaging : Official Journal of the American Society of Neuroimaging. PMID 29280227 DOI: 10.1111/Jon.12493 |
0.267 |
|
2006 |
Rauschecker AM, Solomon SG, Glennerster A. Stereo and motion parallax cues in human 3D vision: can they vanish without a trace? Journal of Vision. 6: 1471-85. PMID 17209749 DOI: 10.1167/6.12.12 |
0.265 |
|
2019 |
Rudie JD, Rauschecker AM, Bryan RN, Davatzikos C, Mohan S. Emerging Applications of Artificial Intelligence in Neuro-Oncology. Radiology. 181928. PMID 30667332 DOI: 10.1148/Radiol.2018181928 |
0.26 |
|
2019 |
Duong MT, Rauschecker AM, Rudie JD, Chen PH, Cook TS, Bryan RN, Mohan S. Artificial intelligence for precision education in radiology. The British Journal of Radiology. 20190389. PMID 31322909 DOI: 10.1259/Bjr.20190389 |
0.259 |
|
2013 |
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. 51: 2344-51. PMID 23571081 DOI: 10.1016/J.Neuropsychologia.2013.03.019 |
0.25 |
|
2016 |
Rauschecker AM, Cook TS. App Review Series: RadioGraphics. Journal of Digital Imaging. PMID 26843410 DOI: 10.1007/s10278-016-9863-3 |
0.227 |
|
2012 |
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 : a Review Publication of the Radiological Society of North America, Inc. 32: 1307-26. PMID 22977020 DOI: 10.1148/rg.325115176 |
0.222 |
|
2020 |
Bryan RN, Davatzikos C, Herskovits EH, Mohan S, Rudie JD, Rauschecker AM. Medical Image Analysis: Human and Machine. Academic Radiology. 27: 76-81. PMID 31818388 DOI: 10.1016/J.Acra.2019.09.011 |
0.219 |
|
2020 |
Kline C, Stoller S, Byer L, Edwards C, Prasad R, Torkildson J, Gauvain K, Samuel D, Lupo J, Morrison M, Tong E, Savchuk S, Valencia CRU, Rauschecker A, Rudie J, et al. NCOG-71. GENOME ASSOCIATIONS WITH NEUROCOGNITIVE OUTCOMES, CEREBRAL MICROBLEEDS (CMBS), AND BRAIN VOLUME AND WHITE MATTER (WM) CHANGES IN PEDIATRIC BRAIN TUMOR SURVIVORS Neuro-Oncology. 22: ii145-ii145. DOI: 10.1093/neuonc/noaa215.609 |
0.216 |
|
2020 |
Kline C, Stoller S, Byer L, Edwards C, Prasad R, Torkildson J, Gauvain K, Samuel D, Lupo J, Morrison M, Tong E, Savchuk S, Valencia CRU, Rauschecker A, Rudie J, et al. QOL-53. GENOME ASSOCIATIONS WITH NEUROCOGNITIVE OUTCOMES, CEREBRAL MICROBLEEDS (CMBS), AND BRAIN VOLUME AND WHITE MATTER (WM) CHANGES IN PEDIATRIC BRAIN TUMOR SURVIVORS Neuro-Oncology. 22: iii440-iii440. DOI: 10.1093/neuonc/noaa222.706 |
0.216 |
|
2016 |
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. American Journal of Roentgenology. 1-6. PMID 27726411 DOI: 10.2214/AJR.16.16793 |
0.206 |
|
2021 |
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. Clinical. 31: 102769. PMID 34333270 DOI: 10.1016/j.nicl.2021.102769 |
0.175 |
|
2020 |
Tran C, Glenn O, Hess C, Rauschecker A. 4252 Automated Fetal Brain Volumetry on Clinical Fetal MRI Using Convolutional Neural Network Journal of Clinical and Translational Science. 4: 45-46. DOI: 10.1017/cts.2020.169 |
0.169 |
|
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. Subspecialty-Level Deep Gray Matter Differential Diagnoses with Deep Learning and Bayesian Networks on Clinical Brain MRI: A Pilot Study. Radiology. Artificial Intelligence. 2: e190146. PMID 33937838 DOI: 10.1148/ryai.2020190146 |
0.168 |
|
2024 |
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. Scientific Reports. 14: 4583. PMID 38403673 DOI: 10.1038/s41598-024-54436-8 |
0.163 |
|
2020 |
Edwards CS, Stoller S, Savchuk S, Ugaz Valencia CR, Tong L, Rauschecker A, Dubal D, Kline C, Mueller S. 4329 Investigating the role of Klotho in neurocognitive outcomes, brain volumes, and white matter changes in pediatric brain tumor survivors Journal of Clinical and Translational Science. 4: 98-98. DOI: 10.1017/cts.2020.305 |
0.16 |
|
2021 |
Li Y, Thompson WK, Reuter C, Nillo R, Jernigan T, Dale A, Sugrue LP, Brown J, Dougherty RF, Rauschecker A, Rudie J, Barch DM, Calhoun V, Hagler D, et al. Rates of Incidental Findings in Brain Magnetic Resonance Imaging in Children. Jama Neurology. PMID 33749724 DOI: 10.1001/jamaneurol.2021.0306 |
0.16 |
|
2023 |
Tsui B, Calabrese E, Zaharchuk G, Rauschecker AM. Reducing Gadolinium Contrast With Artificial Intelligence. Journal of Magnetic Resonance Imaging : Jmri. PMID 37905681 DOI: 10.1002/jmri.29095 |
0.158 |
|
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. Subspecialty-Level Deep Gray Matter Differential Diagnoses with Deep Learning and Bayesian Networks on Clinical Brain MRI: A Pilot Study Radiology: Artificial Intelligence. 2: e190146. DOI: 10.1148/RYAI.2020190146 |
0.157 |
|
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, et al. Brain MRI Deep Learning and Bayesian Inference System Augments Radiology Resident Performance. Journal of Digital Imaging. PMID 34131794 DOI: 10.1007/s10278-021-00470-1 |
0.156 |
|
2020 |
Duong MT, Rauschecker AM, Mohan S. Diverse Applications of Artificial Intelligence in Neuroradiology. Neuroimaging Clinics of North America. 30: 505-516. PMID 33039000 DOI: 10.1016/j.nic.2020.07.003 |
0.142 |
|
2022 |
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. 211860. PMID 35852429 DOI: 10.1148/radiol.211860 |
0.136 |
|
2022 |
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. Radiology. Artificial Intelligence. 4: e220058. PMID 36523646 DOI: 10.1148/ryai.220058 |
0.134 |
|
2022 |
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. Radiology. Artificial Intelligence. 4: e210243. PMID 36204543 DOI: 10.1148/ryai.210243 |
0.132 |
|
2021 |
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. Radiology. Artificial Intelligence. 3: e200276. PMID 34617027 DOI: 10.1148/ryai.2021200276 |
0.129 |
|
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. The University of California San Francisco, Brain Metastases Stereotactic Radiosurgery (UCSF-BMSR) MRI Dataset. Radiology. Artificial Intelligence. e230126. PMID 38381038 DOI: 10.1148/ryai.230126 |
0.127 |
|
2022 |
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. Neuro-Oncology Advances. 4: vdac060. PMID 35611269 DOI: 10.1093/noajnl/vdac060 |
0.119 |
|
2023 |
Ma SX, Dhanaliwala AH, Rudie JD, Rauschecker AM, Roberts-Wolfe D, Haddawy P, Kahn CE. Bayesian Networks in Radiology. Radiology. Artificial Intelligence. 5: e210187. PMID 38074791 DOI: 10.1148/ryai.210187 |
0.115 |
|
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, ... ... Rauschecker AM, et al. The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma. Arxiv. PMID 37608937 |
0.112 |
|
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, ... ... Rauschecker AM, et al. A multi-institutional meningioma MRI dataset for automated multi-sequence image segmentation. Scientific Data. 11: 496. PMID 38750041 DOI: 10.1038/s41597-024-03350-9 |
0.107 |
|
2021 |
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. Radiology. Artificial Intelligence. 3: e200204. PMID 34136817 DOI: 10.1148/ryai.2021200204 |
0.103 |
|
2021 |
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. Radiology. Artificial Intelligence. 4: e200152. PMID 35146430 DOI: 10.1148/ryai.2021200152 |
0.103 |
|
2022 |
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. Radiology. Artificial Intelligence. 4: e210185. PMID 35923373 DOI: 10.1148/ryai.210185 |
0.102 |
|
2023 |
Rauschecker AM, Mo SS, Randall M, Shen-Sampas J, Rubenstein JL. Tafasitamab at the blood-brain barrier. British Journal of Haematology. PMID 36691708 DOI: 10.1111/bjh.18660 |
0.083 |
|
2023 |
George E, Rauschecker AM. Beyond the : Deep Learning Shows Promise in the Detection of Retinal Hemorrhage on Pediatric Head CT. Ajr. American Journal of Roentgenology. PMID 37610781 DOI: 10.2214/AJR.23.30096 |
0.075 |
|
2023 |
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. Frontiers in Neuroscience. 17: 1188336. PMID 37965219 DOI: 10.3389/fnins.2023.1188336 |
0.073 |
|
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. 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. 12: 874317. PMID 35814456 DOI: 10.3389/fonc.2022.874317 |
0.066 |
|
2022 |
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 Otolaryngology-- Head & Neck Surgery. PMID 35201283 DOI: 10.1001/jamaoto.2021.4470 |
0.014 |
|
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, et al. Detection of Neoplasms by Metagenomic Next-Generation Sequencing of Cerebrospinal Fluid. Jama Neurology. PMID 34515766 DOI: 10.1001/jamaneurol.2021.3088 |
0.014 |
|
2012 |
Rauschecker A, Daldrup-Link HE. Trilateral retinoblastoma Pearls and Pitfalls in Pediatric Imaging: Variants and Other Difficult Diagnoses. 1-6. DOI: 10.1017/CBO9781139084239.002 |
0.01 |
|
Hide low-probability matches. |