| 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 | 254* | 2021 |
| 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 | 95 | 2022 |
| Diagnostic and prognostic implications of ribosomal protein transcript expression patterns in human cancers JM Dolezal, AP Dash, EV Prochownik BMC cancer 18, 1-14, 2018 | 89 | 2018 |
| 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, 2023 | 86 | 2023 |
| Coordinated Activities of Multiple Myc-dependent and Myc-independent Biosynthetic Pathways in Hepatoblastoma*♦ H Wang, J Lu, LR Edmunds, S Kulkarni, J Dolezal, J Tao, S Ranganathan, ... Journal of Biological Chemistry 291 (51), 26241-26251, 2016 | 56 | 2016 |
| Deep learning prediction of BRAF-RAS gene expression signature identifies noninvasive follicular thyroid neoplasms with papillary-like nuclear features JM Dolezal, A Trzcinska, CY Liao, S Kochanny, E Blair, N Agrawal, ... Modern Pathology 34 (5), 862-874, 2021 | 53 | 2021 |
| Sequential adaptive changes in a c-Myc-driven model of hepatocellular carcinoma JM Dolezal, H Wang, S Kulkarni, L Jackson, J Lu, S Ranganathan, ... Journal of Biological Chemistry 292 (24), 10068-10086, 2017 | 53 | 2017 |
| Myc and ChREBP transcription factors cooperatively regulate normal and neoplastic hepatocyte proliferation in mice H Wang, JM Dolezal, S Kulkarni, J Lu, J Mandel, LE Jackson, ... Journal of Biological Chemistry 293 (38), 14740-14757, 2018 | 45 | 2018 |
| Deep learning generates synthetic cancer histology for explainability and education JM Dolezal, R Wolk, HM Hieromnimon, FM Howard, A Srisuwananukorn, ... NPJ precision oncology 7 (1), 49, 2023 | 42 | 2023 |
| Abnormal lipid processing but normal long-term repopulation potential of myc−/− hepatocytes LR Edmunds, PA Otero, L Sharma, S D'souza, JM Dolezal, S David, J Lu, ... Oncotarget 7 (21), 30379, 2016 | 38 | 2016 |
| c-Myc and AMPK control cellular energy levels by cooperatively regulating mitochondrial structure and function LR Edmunds, L Sharma, H Wang, A Kang, S d’Souza, J Lu, M McLaughlin, ... PloS one 10 (7), e0134049, 2015 | 38 | 2015 |
| Integration of clinical features and deep learning on pathology for the prediction of breast cancer recurrence assays and risk of recurrence FM Howard, J Dolezal, S Kochanny, G Khramtsova, J Vickery, ... NPJ Breast Cancer 9 (1), 25, 2023 | 34* | 2023 |
| Ribosomopathy-like properties of murine and human cancers S Kulkarni, JM Dolezal, H Wang, L Jackson, J Lu, BP Frodey, ... PloS one 12 (8), e0182705, 2017 | 34 | 2017 |
| Slideflow: deep learning for digital histopathology with real-time whole-slide visualization JM Dolezal, S Kochanny, E Dyer, S Ramesh, A Srisuwananukorn, ... BMC bioinformatics 25 (1), 134, 2024 | 32* | 2024 |
| Genetic dissociation of glycolysis and the TCA cycle affects neither normal nor neoplastic proliferation LE Jackson, S Kulkarni, H Wang, J Lu, JM Dolezal, SS Bharathi, ... Cancer research 77 (21), 5795-5807, 2017 | 31 | 2017 |
| Evaluation of major pathologic response and pathologic complete response as surrogate end points for survival in randomized controlled trials of neoadjuvant immune checkpoint … JB Hines, RB Cameron, A Esposito, L Kim, L Porcu, A Nuccio, G Viscardi, ... Journal of Thoracic Oncology, 2024 | 28* | 2024 |
| Deep learning detects virus presence in cancer histology JN Kather, J Schulte, HI Grabsch, C Loeffler, H Muti, J Dolezal, ... BioRxiv, 690206, 2019 | 26 | 2019 |
| Inhibition of hepatocellular carcinoma by metabolic normalization H Wang, J Lu, J Dolezal, S Kulkarni, W Zhang, A Chen, J Gorka, ... PloS one 14 (6), e0218186, 2019 | 23 | 2019 |
| Machine learning for detection and classification of oral potentially malignant disorders: A conceptual review LL de Souza, FP Fonseca, ALD Araujo, MA Lopes, PA Vargas, ... Journal of Oral Pathology & Medicine 52 (3), 197-205, 2023 | 20 | 2023 |
| The EU-funded I3LUNG Project: integrative science, intelligent data platform for individualized LUNG cancer care with immunotherapy A Prelaj, M Ganzinelli, LC Roisman, ALG Pedrocchi, S Kosta, M Restelli, ... Clinical Lung Cancer 24 (4), 381-387, 2023 | 12 | 2023 |