| Physician perspectives on integration of artificial intelligence into diagnostic pathology S Sarwar, A Dent, K Faust, M Richer, U Djuric, R Van Ommeren, ... NPJ digital medicine 2 (1), 28, 2019 | 183 | 2019 |
| Absence of chronic traumatic encephalopathy in retired football players with multiple concussions and neurological symptomatology LN Hazrati, MC Tartaglia, P Diamandis, KD Davis, RE Green, ... Frontiers in human neuroscience 7, 222, 2013 | 183 | 2013 |
| Chemical genetics reveals a complex functional ground state of neural stem cells P Diamandis, J Wildenhain, ID Clarke, AG Sacher, J Graham, DS Bellows, ... Nature chemical biology 3 (5), 268-273, 2007 | 179 | 2007 |
| Precision histology: how deep learning is poised to revitalize histomorphology for personalized cancer care U Djuric, G Zadeh, K Aldape, P Diamandis NPJ precision oncology 1 (1), 22, 2017 | 172 | 2017 |
| Fine-tuning and training of densenet for histopathology image representation using tcga diagnostic slides A Riasatian, M Babaie, D Maleki, S Kalra, M Valipour, S Hemati, M Zaveri, ... Medical image analysis 70, 102032, 2021 | 119 | 2021 |
| Immunofluorometric quantitation and histochemical localisation of kallikrein 6 protein in ovarian cancer tissue: a new independent unfavourable prognostic biomarker BR Hoffman, D Katsaros, A Scorilas, P Diamandis, S Fracchioli, ... British journal of cancer 87 (7), 763-771, 2002 | 107 | 2002 |
| Pan-cancer diagnostic consensus through searching archival histopathology images using artificial intelligence S Kalra, HR Tizhoosh, S Shah, C Choi, S Damaskinos, A Safarpoor, ... NPJ digital medicine 3 (1), 31, 2020 | 105 | 2020 |
| Three-dimensional modeling of human neurodegeneration: brain organoids coming of age K Grenier, J Kao, P Diamandis Molecular psychiatry 25 (2), 254-274, 2020 | 103 | 2020 |
| Yottixel–an image search engine for large archives of histopathology whole slide images S Kalra, HR Tizhoosh, C Choi, S Shah, P Diamandis, CJV Campbell, ... Medical Image Analysis 65, 101757, 2020 | 101 | 2020 |
| World Health Organization 2016 Classification of Central Nervous System Tumors. P Diamandis, K Aldape Neurologic clinics 36 (3), 439-447, 2018 | 86 | 2018 |
| Visualizing histopathologic deep learning classification and anomaly detection using nonlinear feature space dimensionality reduction K Faust, Q Xie, D Han, K Goyle, Z Volynskaya, U Djuric, P Diamandis BMC bioinformatics 19, 1-15, 2018 | 71 | 2018 |
| Method for treating a brain cancer with ifenprodil M Tyers, P Diamandis, PB Dirks US Patent 8,058,243, 2011 | 69 | 2011 |
| Semiquantitative proteomic analysis of human hippocampal tissues from Alzheimer’s disease and age-matched control brains I Begcevic, H Kosanam, E Martínez-Morillo, A Dimitromanolakis, ... Clinical proteomics 10, 1-7, 2013 | 68 | 2013 |
| The central nervous system tumor methylation classifier changes neuro-oncology practice for challenging brain tumor diagnoses and directly impacts patient care S Karimi, JA Zuccato, Y Mamatjan, S Mansouri, S Suppiah, F Nassiri, ... Clinical epigenetics 11, 1-10, 2019 | 65 | 2019 |
| Insights from molecular profiling of adult glioma P Diamandis, KD Aldape Journal of Clinical Oncology 35 (21), 2386-2393, 2017 | 57 | 2017 |
| Shifts in ribosome engagement impact key gene sets in neurodevelopment and ubiquitination in Rett syndrome DC Rodrigues, M Mufteev, RJ Weatheritt, U Djuric, KCH Ha, PJ Ross, ... Cell reports 30 (12), 4179-4196. e11, 2020 | 56 | 2020 |
| Spatiotemporal proteomic profiling of human cerebral development U Djuric, DC Rodrigues, I Batruch, J Ellis, P Shannon, P Diamandis Molecular & Cellular Proteomics 16 (9), 1548-1562, 2017 | 47 | 2017 |
| Intelligent feature engineering and ontological mapping of brain tumour histomorphologies by deep learning K Faust, S Bala, R Van Ommeren, A Portante, R Al Qawahmed, U Djuric, ... Nature Machine Intelligence 1 (7), 316-321, 2019 | 45 | 2019 |
| Unsupervised machine learning in pathology: the next frontier A Roohi, K Faust, U Djuric, P Diamandis Surgical Pathology Clinics 13 (2), 349-358, 2020 | 44 | 2020 |
| Medulloblastoma arises from the persistence of a rare and transient Sox2+ granule neuron precursor HJ Selvadurai, E Luis, K Desai, X Lan, MC Vladoiu, O Whitley, C Galvin, ... Cell reports 31 (2), 2020 | 42 | 2020 |
