| Artificial intelligence in cancer imaging: clinical challenges and applications WL Bi, A Hosny, MB Schabath, ML Giger, NJ Birkbak, A Mehrtash, ... CA: a cancer journal for clinicians 69 (2), 127-157, 2019 | 1544 | 2019 |
| Glioblastoma in adults: a Society for Neuro-Oncology (SNO) and European Society of Neuro-Oncology (EANO) consensus review on current management and future directions PY Wen, M Weller, EQ Lee, BM Alexander, JS Barnholtz-Sloan, ... Neuro-oncology 22 (8), 1073-1113, 2020 | 892 | 2020 |
| Immunotherapy response assessment in neuro-oncology: a report of the RANO working group H Okada, M Weller, R Huang, G Finocchiaro, MR Gilbert, W Wick, ... The Lancet Oncology 16 (15), e534-e542, 2015 | 729 | 2015 |
| Mechanisms and therapeutic implications of hypermutation in gliomas M Touat, YY Li, AN Boynton, LF Spurr, JB Iorgulescu, CL Bohrson, ... Nature 580 (7804), 517-523, 2020 | 524 | 2020 |
| Artificial intelligence augmentation of radiologist performance in distinguishing COVID-19 from pneumonia of other origin at chest CT HX Bai, R Wang, Z Xiong, B Hsieh, K Chang, K Halsey, TML Tran, ... Radiology 296 (3), E156-E165, 2020 | 453 | 2020 |
| C. elegans ORFeome version 1.1: experimental verification of the genome annotation and resource for proteome-scale protein expression J Reboul, P Vaglio, JF Rual, P Lamesch, M Martinez, CM Armstrong, S Li, ... Nature genetics 34 (1), 35-41, 2003 | 447 | 2003 |
| Residual Convolutional Neural Network for the Determination of IDH Status in Low- and High-Grade Gliomas from MR Imaging K Chang, HX Bai, H Zhou, C Su, WL Bi, E Agbodza, VK Kavouridis, ... Clinical Cancer Research 24 (5), 1073-1081, 2018 | 397 | 2018 |
| Multimodal MRI features predict isocitrate dehydrogenase genotype in high-grade gliomas B Zhang, K Chang, S Ramkissoon, S Tanguturi, WL Bi, DA Reardon, ... Neuro-oncology 19 (1), 109-117, 2017 | 266 | 2017 |
| Ivosidenib in Isocitrate Dehydrogenase 1–Mutated Advanced Glioma IK Mellinghoff, BM Ellingson, M Touat, E Maher, MI De La Fuente, ... Journal of Clinical Oncology 38 (29), 3398-3406, 2020 | 250 | 2020 |
| Defining language networks from resting‐state fMRI for surgical planning—a feasibility study Y Tie, L Rigolo, IH Norton, RY Huang, W Wu, D Orringer, S Mukundan Jr, ... Human brain mapping 35 (3), 1018-1030, 2014 | 232 | 2014 |
| DNA methylation profiling to predict recurrence risk in meningioma: development and validation of a nomogram to optimize clinical management F Nassiri, Y Mamatjan, S Suppiah, JH Badhiwala, S Mansouri, S Karimi, ... Neuro-oncology 21 (7), 901-910, 2019 | 222 | 2019 |
| Structural genomics: a pipeline for providing structures for the biologist MR Chance, AR Bresnick, SK Burley, JS Jiang, CD Lima, A Sali, SC Almo, ... Protein science: a publication of the Protein Society 11 (4), 723, 2002 | 219 | 2002 |
| Federated learning enables big data for rare cancer boundary detection S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ... Nature communications 13 (1), 7346, 2022 | 207 | 2022 |
| Consensus recommendations for a standardized brain tumor imaging protocol for clinical trials in brain metastases TJ Kaufmann, M Smits, J Boxerman, R Huang, DP Barboriak, M Weller, ... Neuro-oncology 22 (6), 757-772, 2020 | 200 | 2020 |
| Automatic assessment of glioma burden: a deep learning algorithm for fully automated volumetric and bidimensional measurement K Chang, AL Beers, HX Bai, JM Brown, KI Ly, X Li, JT Senders, ... Neuro-oncology 21 (11), 1412-1422, 2019 | 188 | 2019 |
| Consensus recommendations for a dynamic susceptibility contrast MRI protocol for use in high-grade gliomas JL Boxerman, CC Quarles, LS Hu, BJ Erickson, ER Gerstner, M Smits, ... Neuro-oncology 22 (9), 1262-1275, 2020 | 183 | 2020 |
| Pitfalls in the neuroimaging of glioblastoma in the era of antiangiogenic and immuno/targeted therapy–detecting illusive disease, defining response RY Huang, MR Neagu, DA Reardon, PY Wen Frontiers in neurology 6, 33, 2015 | 183 | 2015 |
| Proposed response assessment and endpoints for meningioma clinical trials: report from the Response Assessment in Neuro-Oncology Working Group RY Huang, WL Bi, M Weller, T Kaley, J Blakeley, I Dunn, E Galanis, ... Neuro-oncology 21 (1), 26-36, 2019 | 171 | 2019 |
| Imaging and diagnostic advances for intracranial meningiomas RY Huang, WL Bi, B Griffith, TJ Kaufmann, C la Fougère, NO Schmidt, ... Neuro-oncology 21 (Supplement_1), i44-i61, 2019 | 162 | 2019 |
| Radiographic prediction of meningioma grade by semantic and radiomic features TP Coroller, WL Bi, E Huynh, M Abedalthagafi, AA Aizer, NF Greenwald, ... PloS one 12 (11), e0187908, 2017 | 145 | 2017 |
