| Current trends of artificial intelligence for colorectal cancer pathology image analysis: a systematic review N Thakur, H Yoon, Y Chong Cancers 12 (7), 1884, 2020 | 63 | 2020 |
| Deep learning-based histopathological segmentation for whole slide images of colorectal cancer in a compressed domain H Kim, H Yoon, N Thakur, G Hwang, EJ Lee, C Kim, Y Chong Scientific reports 11 (1), 22520, 2021 | 31 | 2021 |
| Current trend of artificial intelligence patents in digital pathology: a systematic evaluation of the patent landscape MJ Ailia, N Thakur, J Abdul-Ghafar, CK Jung, K Yim, Y Chong Cancers 14 (10), 2400, 2022 | 30 | 2022 |
| A comprehensive overview on the production of vaccines in plant-based expression Systems and the scope of Plant Biotechnology to Combat against SARS-CoV-2 Virus Pandemics M Kumar, N Kumari, N Thakur, SK Bhatia, GD Saratale, G Ghodake, ... Plants 10 (6), 1213, 2021 | 26 | 2021 |
| Recent application of artificial intelligence in non-gynecological cancer cytopathology: a systematic review N Thakur, MR Alam, J Abdul-Ghafar, Y Chong Cancers 14 (14), 3529, 2022 | 25 | 2022 |
| Recent applications of artificial intelligence from histopathologic image-based prediction of microsatellite instability in solid cancers: a systematic review MR Alam, J Abdul-Ghafar, K Yim, N Thakur, SH Lee, HJ Jang, CK Jung, ... Cancers 14 (11), 2590, 2022 | 23 | 2022 |
| Strong association of Torque teno virus/Torque teno-like minivirus to Kikuchi-Fujimoto lymphadenitis (histiocytic necrotizing lymphadenitis) on quantitative analysis Y Chong, JY Lee, N Thakur, CS Kang, EJ Lee Clinical Rheumatology 39, 925-931, 2020 | 16 | 2020 |
| Assessment of early therapeutic response to nitroxoline in temozolomide-resistant glioblastoma by amide proton transfer imaging: a preliminary comparative study with diffusion … N Kumari, N Thakur, HR Cho, SH Choi Scientific reports 9 (1), 5585, 2019 | 16 | 2019 |
| Tumor budding in gynecologic cancer as a marker for poor survival: A systematic review and meta-analysis of the perspectives of epithelial–Mesenchymal transition MJ Ailia, N Thakur, Y Chong, K Yim Cancers 14 (6), 1431, 2022 | 14 | 2022 |
| Tumor budding as a marker for poor prognosis and epithelial–mesenchymal transition in lung cancer: a systematic review and meta-analysis N Thakur, MJ Ailia, Y Chong, OR Shin, K Yim Frontiers in Oncology 12, 828999, 2022 | 10 | 2022 |
| Decreased APE-1 by nitroxoline enhances therapeutic effect in a temozolomide-resistant glioblastoma: correlation with diffusion weighted imaging HR Cho, N Kumari, N Thakur, HT Vu, H Kim, SH Choi Scientific Reports 9 (1), 16613, 2019 | 10 | 2019 |
| MYC drives platinum resistant SCLC that is overcome by the dual PI3K-HDAC inhibitor fimepinostat J Chen, AC Guanizo, WSN Jakasekara, C Inampudi, Q Luong, ... Journal of Experimental & Clinical Cancer Research 42 (1), 100, 2023 | 7 | 2023 |
| High poly (ADP-ribose) polymerase expression does relate to poor survival in solid cancers: A systematic review and meta-analysis N Thakur, K Yim, J Abdul-Ghafar, KJ Seo, Y Chong Cancers 13 (22), 5594, 2021 | 7 | 2021 |
| Prognostic significance of stem cell/epithelial-mesenchymal transition markers in periampullary/pancreatic cancers: FGFR1 is a promising prognostic marker Y Chong, N Thakur, KY Paik, EJ Lee, CS Kang BMC cancer 20, 1-14, 2020 | 7 | 2020 |
| A machine-learning expert-supporting system for diagnosis prediction of lymphoid neoplasms using a probabilistic decision-tree algorithm and immunohistochemistry profile database Y Chong, JY Lee, Y Kim, J Choi, H Yu, G Park, MY Cho, N Thakur Journal of Pathology and Translational Medicine 54 (6), 462, 2020 | 7 | 2020 |
| High expression of PD-L1 is associated with better survival in pancreatic/periampullary cancers and correlates with epithelial to mesenchymal transition N Thakur, KY Paik, G Hwang, Y Chong Diagnostics 11 (4), 597, 2021 | 5 | 2021 |
| Diagnosis prediction of tumours of unknown origin using ImmunoGenius, a machine learning-based expert system for immunohistochemistry profile interpretation Y Chong, N Thakur, JY Lee, G Hwang, M Choi, Y Kim, H Yu, MY Cho Diagnostic Pathology 16, 1-9, 2021 | 4 | 2021 |
| NIMG-65. CD49d CORRELATED WITH APPARENT DIFFUSION COEFFICIENT AS A PROMISING BIOMARKER FOR PROGNOSIS PREDICTION OF GLIOBLASTOMA: RADIOGENOMICS STUDY H Jeon, HR Cho, C Park, SH Park, N Kumarir, N Thakur, J Chung, ... Neuro-oncology 19 (Suppl 6), vi157, 2017 | 1 | 2017 |
| Comparison of Ki-67 Labeling Index Patterns of Diffuse Large B-Cell Lymphomas and Burkitt Lymphomas Using Image Analysis: A Multicenter Study Y Chong, TE Kim, U Cho, MS Jin, K Yim, N Thakur, JO Kim, I Cho, G Park Diagnostics 11 (2), 343, 2021 | | 2021 |
| Assessment of Early Therapeutics Response to Nitroxoline in Temozolomide Resistant Glioblastoma by Amide Proton Transfer Imaging: Comparison with Diffusion-weighted Imaging 타쿠르 서울대학교 대학원, 2019 | | 2019 |
