| Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer JN Kather, AT Pearson, N Halama, D Jäger, J Krause, SH Loosen, A Marx, ... Nature medicine 25 (7), 1054-1056, 2019 | 1173 | 2019 |
| Deep learning in cancer pathology: a new generation of clinical biomarkers A Echle, NT Rindtorff, TJ Brinker, T Luedde, AT Pearson, JN Kather British journal of cancer 124 (4), 686-696, 2021 | 568 | 2021 |
| Pan-cancer image-based detection of clinically actionable genetic alterations JN Kather, LR Heij, HI Grabsch, C Loeffler, A Echle, HS Muti, J Krause, ... Nature cancer 1 (8), 789-799, 2020 | 533 | 2020 |
| Comparing scientific abstracts generated by ChatGPT to original abstracts using an artificial intelligence output detector, plagiarism detector, and blinded human reviewers CA Gao, FM Howard, NS Markov, EC Dyer, S Ramesh, Y Luo, ... BioRxiv, 2022.12. 23.521610, 2022 | 497 | 2022 |
| Comparing scientific abstracts generated by ChatGPT to real abstracts with detectors and blinded human reviewers CA Gao, FM Howard, NS Markov, EC Dyer, S Ramesh, Y Luo, ... NPJ digital medicine 6 (1), 75, 2023 | 376 | 2023 |
| Clinical-grade detection of microsatellite instability in colorectal tumors by deep learning A Echle, HI Grabsch, P Quirke, PA van den Brandt, NP West, ... Gastroenterology 159 (4), 1406-1416. e11, 2020 | 301 | 2020 |
| The impact of site-specific digital histology signatures on deep learning model accuracy and bias FM Howard, J Dolezal, S Kochanny, J Schulte, H Chen, L Heij, D Huo, ... Nature communications 12 (1), 4423, 2021 | 244 | 2021 |
| Mexiletine is an effective antimyotonia treatment in myotonic dystrophy type 1 EL Logigian, WB Martens, RT Moxley IV, MP McDermott, N Dilek, ... Neurology 74 (18), 1441-1448, 2010 | 213 | 2010 |
| The cancer microbiome: distinguishing direct and indirect effects requires a systemic view JB Xavier, VB Young, J Skufca, F Ginty, T Testerman, AT Pearson, ... Trends in cancer 6 (3), 192-204, 2020 | 211 | 2020 |
| Postnatal exposure to methyl mercury from fish consumption: a review and new data from the Seychelles Child Development Study GJ Myers, SW Thurston, AT Pearson, PW Davidson, C Cox, CF Shamlaye, ... Neurotoxicology 30 (3), 338-349, 2009 | 156 | 2009 |
| Machine learning–guided adjuvant treatment of head and neck cancer FM Howard, S Kochanny, M Koshy, M Spiotto, AT Pearson JAMA network Open 3 (11), e2025881, 2020 | 135 | 2020 |
| Extracellular matrix alignment dictates the organization of focal adhesions and directs uniaxial cell migration WY Wang, AT Pearson, ML Kutys, CK Choi, MA Wozniak, BM Baker, ... APL bioengineering 2 (4), 2018 | 117 | 2018 |
| Machine learning can identify newly diagnosed patients with CLL at high risk of infection R Agius, C Brieghel, MA Andersen, AT Pearson, B Ledergerber, ... Nature communications 11 (1), 363, 2020 | 114 | 2020 |
| Development and validation of deep learning classifiers to detect Epstein-Barr virus and microsatellite instability status in gastric cancer: a retrospective multicentre cohort … HS Muti, LR Heij, G Keller, M Kohlruss, R Langer, B Dislich, JH Cheong, ... The Lancet Digital Health 3 (10), e654-e664, 2021 | 109 | 2021 |
| Mucoepidermoid Carcinoma: A Comparison of Histologic Grading Systems and Relationship to: MAML2: Rearrangement and Prognosis NA Cipriani, JJ Lusardi, J McElherne, AT Pearson, AD Olivas, ... The American journal of surgical pathology 43 (7), 885-897, 2019 | 105 | 2019 |
| Uncertainty-informed deep learning models enable high-confidence predictions for digital histopathology JM Dolezal, A Srisuwananukorn, D Karpeyev, S Ramesh, S Kochanny, ... Nature communications 13 (1), 6572, 2022 | 100 | 2022 |
| Artificial intelligence for predictive biomarker discovery in immuno-oncology: a systematic review A Prelaj, V Miskovic, M Zanitti, F Trovo, C Genova, G Viscardi, SE Rebuzzi, ... Annals of Oncology 35 (1), 29-65, 2024 | 98 | 2024 |
| Risk factors for poor visual outcome in patients with idiopathic intracranial hypertension M Wall, J Falardeau, WA Fletcher, RJ Granadier, BL Lam, RA Longmuir, ... Neurology 85 (9), 799-805, 2015 | 97 | 2015 |
| A conserved intratumoral regulatory T cell signature identifies 4-1BB as a pan-cancer target ZT Freeman, TR Nirschl, DH Hovelson, RJ Johnston, JJ Engelhardt, ... The Journal of clinical investigation 130 (3), 1405-1416, 2020 | 96 | 2020 |
| Patient-derived xenograft (PDX) tumors increase growth rate with time AT Pearson, KA Finkel, KA Warner, F Nör, D Tice, MD Martins, TL Jackson, ... Oncotarget 7 (7), 7993, 2016 | 84 | 2016 |
Frederick Matthew HowardAssistant Professor of Medicine, University of Chicago確認したメール アドレス: uchospitals.edu