| Computational Radiomics System to Decode the Radiographic Phenotype JJM van Griethuysen, A Fedorov, C Parmar, A Hosny, N Aucoin, ... Cancer Research 77 (21), e104-e107, 2017 | 5169 | 2017 |
| Artificial intelligence in radiology A Hosny, C Parmar, J Quackenbush, LH Schwartz, HJWL Aerts Nature Reviews Cancer 18 (8), 500-510, 2018 | 3290 | 2018 |
| 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 |
| Deep learning predicts lung cancer treatment response from serial medical imaging Y Xu, A Hosny, R Zeleznik, C Parmar, T Coroller, I Franco, RH Mak, ... Clinical Cancer Research 25 (11), 3266-3275, 2019 | 550 | 2019 |
| Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics study A Hosny, C Parmar, TP Coroller, P Grossmann, R Zeleznik, A Kumar, ... PLOS Medicine 15 (11), e1002711, 2018 | 532 | 2018 |
| Transparency and reproducibility in artificial intelligence B Haibe-Kains, GA Adam, A Hosny, F Khodakarami, ... Nature 586 (7829), E14-E16, 2020 | 398 | 2020 |
| Transparency and reproducibility in artificial intelligence B Haibe-Kains, GA Adam, A Hosny, F Khodakarami, ... Nature 586 (7829), E14-E16, 2020 | 398 | 2020 |
| The dataset nutrition label S Holland, A Hosny, S Newman, J Joseph, K Chmielinski Data Protection and Privacy 12 (12), 1, 2020 | 384 | 2020 |
| Artificial intelligence in radiation oncology E Huynh, A Hosny, C Guthier, DS Bitterman, SF Petit, DA Haas-Kogan, ... Nature Reviews Clinical Oncology 17 (12), 771-781, 2020 | 324 | 2020 |
| Artificial intelligence for clinical oncology BH Kann, A Hosny, HJWL Aerts Cancer Cell 39 (7), 916-927, 2021 | 241 | 2021 |
| Deep learning classification of lung cancer histology using CT images TL Chaunzwa, A Hosny, Y Xu, A Shafer, N Diao, M Lanuti, DC Christiani, ... Scientific reports 11 (1), 1-12, 2021 | 203 | 2021 |
| Data analysis strategies in medical imaging C Parmar, JD Barry, A Hosny, J Quackenbush, HJWL Aerts Clinical cancer research 24 (15), 3492-3499, 2018 | 166 | 2018 |
| Deep Learning to Assess Long-term Mortality From Chest Radiographs MT Lu, A Ivanov, T Mayrhofer, A Hosny, HJWL Aerts, U Hoffmann JAMA Network Open 2 (7), e197416-e197416, 2019 | 145 | 2019 |
| Artificial intelligence for global health A Hosny, HJWL Aerts Science 366 (6468), 955-956, 2019 | 126 | 2019 |
| Making data matter: Voxel printing for the digital fabrication of data across scales and domains C Bader, D Kolb, JC Weaver, S Sharma, A Hosny, J Costa, N Oxman Science advances 4 (5), eaas8652, 2018 | 124 | 2018 |
| Hybrid Living Materials: Digital Design and Fabrication of 3D Multimaterial Structures with Programmable Biohybrid Surfaces RSH Smith, C Bader, S Sharma, D Kolb, TC Tang, A Hosny, F Moser, ... Advanced Functional Materials 30 (7), 1907401, 2020 | 83 | 2020 |
| Handcrafted versus deep learning radiomics for prediction of cancer therapy response A Hosny, HJ Aerts, RH Mak The Lancet Digital Health 1 (3), e106-e107, 2019 | 82 | 2019 |
| Bioinspired design of flexible armor based on chiton scales M Connors, T Yang, A Hosny, Z Deng, F Yazdandoost, H Massaadi, ... Nature communications 10 (1), 5413, 2019 | 76 | 2019 |
| Pre-procedural fit-testing of TAVR valves using parametric modeling and 3D printing A Hosny, JD Dilley, T Kelil, M Mathur, MN Dean, JC Weaver, B Ripley Journal of cardiovascular computed tomography 13 (1), 21-30, 2019 | 69 | 2019 |
| Massive Analysis Quality Control (MAQC) Society Board of Directors B Haibe-Kains, GA Adam, A Hosny, F Khodakarami Transparency and reproducibility in artificial intelligence. Nature 586 …, 2020 | 54 | 2020 |
Hugo AertsDirector AI in Medicine (AIM) @ Harvard-MGB | Professor @ MaastrichtUBestätigte E-Mail-Adresse bei dfci.harvard.edu
