| Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer BE Bejnordi, M Veta, PJ Van Diest, B Van Ginneken, N Karssemeijer, ... Jama 318 (22), 2199-2210, 2017 | 2881 | 2017 |
| Glandular morphometrics for objective grading of colorectal adenocarcinoma histology images R Awan, K Sirinukunwattana, D Epstein, S Jefferyes, U Qidwai, Z Aftab, ... Scientific reports 7 (1), 16852, 2017 | 151 | 2017 |
| Context-aware convolutional neural network for grading of colorectal cancer histology images M Shaban, R Awan, MM Fraz, A Azam, YW Tsang, D Snead, NM Rajpoot IEEE transactions on medical imaging 39 (7), 2395-2405, 2020 | 144 | 2020 |
| Context-aware learning using transferable features for classification of breast cancer histology images R Awan, NA Koohbanani, M Shaban, A Lisowska, N Rajpoot Image Analysis and Recognition: 15th International Conference, ICIAR 2018 …, 2018 | 80 | 2018 |
| Deep learning based digital cell profiles for risk stratification of urine cytology images R Awan, K Benes, A Azam, TH Song, M Shaban, C Verrill, YW Tsang, ... Cytometry Part A 99 (7), 732-742, 2021 | 22 | 2021 |
| Using spectral imaging for the analysis of abnormalities for colorectal cancer: When is it helpful? R Awan, S Al-Maadeed, R Al-Saady PLoS One 13 (6), e0197431, 2018 | 13 | 2018 |
| Deep autoencoder features for registration of histology images R Awan, N Rajpoot Medical Image Understanding and Analysis: 22nd Conference, MIUA 2018 …, 2018 | 10 | 2018 |
| Glandular structure-guided classification of microscopic colorectal images using deep learning R Awan, S Al-Maadeed, R Al-Saady, A Bouridane Computers & Electrical Engineering 85, 106450, 2020 | 9 | 2020 |
| How divided is a cell? Eigenphase nuclei for classification of mitotic phase in cancer histology images R Awan, N Aloraidi, U Qidwai, N Rajpoot 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics …, 2016 | 6 | 2016 |
| A hybrid software architecture evaluation method for dynamic system development method R Awan, SS Muhammad, MA Fahiem, S Awan The Nucleus 53 (3), 180-187, 2016 | 5 | 2016 |
| Spatial and spatio-temporal feature extraction from 4D echocardiography images R Awan, K Rajpoot Computers in biology and medicine 64, 138-147, 2015 | 5 | 2015 |
| Deep Learning based Prediction of MSI using MMR Markers in Colorectal Cancer R Awan, M Nimir, SEA Raza, M Bilal, J Lotz, D Snead, A Robison, ... arXiv preprint arXiv:2203.00449, 2022 | 4* | 2022 |
| Deep Feature based Cross-slide Registration R Awan, SEA Raza, J Lotz, N Weiss, N Rajpoot arXiv preprint arXiv:2202.09971, 2022 | 3 | 2022 |
| Mimicking a pathologist: dual attention model for scoring of gigapixel histology images M Raza, R Awan, RMS Bashir, T Qaiser, NM Rajpoot arXiv preprint arXiv:2302.09682, 2023 | 2 | 2023 |
| Investigation of 3D and 4D feature extraction from echocardiography images using local phase based method R Awan, K Rajpoot 2014 12th International Conference on Frontiers of Information Technology …, 2014 | 1 | 2014 |
| A reinforcement learning approach for automated scoring of immunohistochemically stained mismatch repair genes M Raza, R Awan, RMS Bashir, T Qaiser, D Snead, N Rajpoot VIRCHOWS ARCHIV 481 (SUPPL 1), S304-S304, 2022 | | 2022 |
| Deep learning based frameworks for patient selection R Awan University of Warwick, 2022 | | 2022 |
Nasir M. RajpootTissue Image Analytics (TIA) Centre, University of WarwickVerified email at warwick.ac.uk
