| Automated analysis of lymphocytic infiltration, tumor budding, and their spatial relationship improves prognostic accuracy in colorectal cancer IP Nearchou, K Lillard, CG Gavriel, H Ueno, DJ Harrison, PD Caie Cancer immunology research 7 (4), 609-620, 2019 | 74 | 2019 |
| Automated tumour budding quantification by machine learning augments TNM staging in muscle-invasive bladder cancer prognosis N Brieu, CG Gavriel, IP Nearchou, DJ Harrison, G Schmidt, PD Caie Scientific reports 9 (1), 5174, 2019 | 51 | 2019 |
| Spatial immune profiling of the colorectal tumor microenvironment predicts good outcome in stage II patients IP Nearchou, BM Gwyther, ECT Georgiakakis, CG Gavriel, K Lillard, ... NPJ digital medicine 3 (1), 71, 2020 | 45 | 2020 |
| Novel internationally verified method reports desmoplastic reaction as the most significant prognostic feature for disease-specific survival in stage II colorectal cancer IP Nearchou, Y Kajiwara, S Mochizuki, DJ Harrison, PD Caie, H Ueno The American Journal of Surgical Pathology 43 (9), 1239-1248, 2019 | 40 | 2019 |
| Assessment of immunological features in muscle-invasive bladder cancer prognosis using ensemble learning CG Gavriel, N Dimitriou, N Brieu, IP Nearchou, O Arandjelović, G Schmidt, ... Cancers 13 (7), 1624, 2021 | 23 | 2021 |
| A comparison of methods for studying the tumor microenvironment's spatial heterogeneity in digital pathology specimens IP Nearchou, DA Soutar, H Ueno, DJ Harrison, O Arandjelovic, PD Caie Journal of Pathology Informatics 12 (1), 6, 2021 | 20 | 2021 |
| Prognostic significance of mesothelin expression in colorectal cancer disclosed by area-specific four-point tissue microarrays T Shiraishi, E Shinto, IP Nearchou, H Tsuda, Y Kajiwara, T Einama, ... Virchows Archiv 477, 409-420, 2020 | 18 | 2020 |
| Automated detection and classification of desmoplastic reaction at the colorectal tumour front using deep learning IP Nearchou, H Ueno, Y Kajiwara, K Lillard, S Mochizuki, K Takeuchi, ... Cancers 13 (7), 1615, 2021 | 10 | 2021 |
| Cancer‐associated fibroblasts at the unfavorable desmoplastic stroma promote colorectal cancer aggressiveness: Potential role of ADAM9 T Ao, S Mochizuki, Y Kajiwara, K Yonemura, T Shiraishi, K Nagata, ... International Journal of Cancer 150 (10), 1706-1721, 2022 | 8 | 2022 |
| Identification of immunological features enables survival prediction of muscle-invasive bladder cancer patients using machine learning CG Gavriel, N Dimitriou, N Brieu, IP Nearchou, O Arandjelović, G Schmidt, ... BioRxiv, 2020.02. 24.963181, 2020 | 6 | 2020 |
| Deep‐learning‐based classification of desmoplastic reaction on H&E predicts poor prognosis in oesophageal squamous cell carcinoma K Kouzu, IP Nearchou, Y Kajiwara, H Tsujimoto, K Lillard, Y Kishi, H Ueno Histopathology 81 (2), 255-263, 2022 | 4 | 2022 |
| Artificial intelligence driving automated pathology: icaird and beyond P Caie, N Dimitriou, I Nearchou, O Arandjelovic, D Harrison Virchows Arch 475, S60, 2019 | 2 | 2019 |
| Automated Analysis of Lymphocytic Infiltration, Tumor Budding, and Their Spatial Relationship Improves Prognostic Accuracy in Colorectal Cancer (vol 7, pg 609, 2019) IP Nearchou, K Lillard, CG Gavriel, H Ueno, DJ Harrison, PD Caie CANCER IMMUNOLOGY RESEARCH 7 (8), 1381-1381, 2019 | 2 | 2019 |
| Molecular profiling of the desmoplastic reaction within the colorectal tumor microenvironment using the nCounter® platform IP Nearchou, T Ao, S Mochizuki, S Warren, H Harashima, PD Caie, ... Cancer Research 80 (16_Supplement), 1576-1576, 2020 | 1 | 2020 |
| 111 Spatial characterization of the tumor microenvironment with cell DIVE multiplexed imaging and HALO quantitative image analysis AL Ortiz, M Smith, L Arvidson, I Nearchou, D Bowman, A Bose Journal for ImmunoTherapy of Cancer 11 (Suppl 1), 2023 | | 2023 |
| Automated tumour budding quantification in T1 colorectal carcinoma H&E slides: association to lymph node metastasis I Nearchou, Y Kajiwara, M Ueno, K Kouzu, T Nakamura, K Lillard, H Ueno VIRCHOWS ARCHIV 481 (SUPPL 1), S101-S101, 2022 | | 2022 |
| Immune profiling of the colorectal cancer microenvironment for precision prognostics IP Nearchou University of St Andrews, 2020 | | 2020 |
| Abstract LB-368: Applications of automated image analysis, machine learning and spatial statistics for the improvement of stage II colorectal cancer prognosis IP Nearchou, DA Soutar, K Lillard, U Hideki, O Arandjelović, DJ Harrison, ... Cancer Research 80 (16_Supplement), LB-368-LB-368, 2020 | | 2020 |
| Applications of automated image analysis, machine learning and spatial statistics for the improvement of stage II colorectal cancer prognosis IP Nearchou, DA Soutar, K Lillard, U Hideki, O Arandjelovic, DJ Harrison, ... CANCER RESEARCH 80 (16), 2020 | | 2020 |
| Spatial Relationships Between Immune Infiltrate and Tumour Buds Improves Prognostic Accuracy in Stage II Colorectal Cancer IP Nearchou, C Gavriel, DJ Harrison, PD Caie Leeds Pathology 2019. 12th Joint Meeting of the British Division of the …, 2019 | | 2019 |
