| 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 | 3146 | 2017 |
| Methods for segmentation and classification of digital microscopy tissue images QD Vu, S Graham, T Kurc, MNN To, M Shaban, T Qaiser, NA Koohbanani, ... Frontiers in bioengineering and biotechnology 7, 433738, 2019 | 285 | 2019 |
| Micro-Net: A unified model for segmentation of various objects in microscopy images SEA Raza, L Cheung, M Shaban, S Graham, D Epstein, S Pelengaris, ... Medical image analysis 52, 160-173, 2019 | 248 | 2019 |
| Pan-cancer integrative histology-genomic analysis via multimodal deep learning RJ Chen, MY Lu, DFK Williamson, TY Chen, J Lipkova, Z Noor, M Shaban, ... Cancer Cell 40 (8), 865-878. e6, 2022 | 245 | 2022 |
| Artificial intelligence for multimodal data integration in oncology J Lipkova, RJ Chen, B Chen, MY Lu, M Barbieri, D Shao, AJ Vaidya, ... Cancer Cell 40 (10), 1095-1110, 2022 | 244 | 2022 |
| Cgc-net: Cell graph convolutional network for grading of colorectal cancer histology images Y Zhou, S Graham, N Alemi Koohbanani, M Shaban, PA Heng, N Rajpoot Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 205 | 2019 |
| A novel digital score for abundance of tumour infiltrating lymphocytes predicts disease free survival in oral squamous cell carcinoma M Shaban, SA Khurram, MM Fraz, N Alsubaie, I Masood, S Mushtaq, ... Scientific reports 9 (1), 13341, 2019 | 168 | 2019 |
| 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 | 161 | 2020 |
| Whole slide images are 2d point clouds: Context-aware survival prediction using patch-based graph convolutional networks RJ Chen, MY Lu, M Shaban, C Chen, TY Chen, DFK Williamson, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 147 | 2021 |
| Towards a general-purpose foundation model for computational pathology RJ Chen, T Ding, MY Lu, DFK Williamson, G Jaume, AH Song, B Chen, ... Nature Medicine, 1-13, 2024 | 132 | 2024 |
| Use of artificial intelligence in diagnosis of head and neck precancerous and cancerous lesions: A systematic review H Mahmood, M Shaban, BI Indave, AR Santos-Silva, N Rajpoot, ... Oral Oncology 110, 104885, 2020 | 114 | 2020 |
| Artificial Intelligence-based methods in head and neck cancer diagnosis: an overview H Mahmood, M Shaban, N Rajpoot, SA Khurram British Journal of Cancer, 1-7, 2021 | 109 | 2021 |
| 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 | 84 | 2018 |
| Classification of lung cancer histology images using patch-level summary statistics S Graham, M Shaban, T Qaiser, NA Koohbanani, SA Khurram, N Rajpoot Medical Imaging 2018: Digital Pathology 10581, 327-334, 2018 | 64 | 2018 |
| FABnet: feature attention-based network for simultaneous segmentation of microvessels and nerves in routine histology images of oral cancer MM Fraz, SA Khurram, S Graham, M Shaban, M Hassan, A Loya, ... Neural Computing and Applications 32, 9915-9928, 2020 | 58 | 2020 |
| A digital score of tumour-associated stroma infiltrating lymphocytes predicts survival in head and neck squamous cell carcinoma M Shaban, SEA Raza, M Hassan, A Jamshed, S Mushtaq, A Loya, N Batis, ... The Journal of pathology, 2021 | 32 | 2021 |
| A multi-resolution deep learning framework for lung adenocarcinoma growth pattern classification N Alsubaie, M Shaban, D Snead, A Khurram, N Rajpoot Medical Image Understanding and Analysis: 22nd Conference, MIUA 2018 …, 2018 | 30 | 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 | 27 | 2021 |
| A general-purpose self-supervised model for computational pathology RJ Chen, T Ding, MY Lu, DFK Williamson, G Jaume, B Chen, A Zhang, ... arXiv preprint arXiv:2308.15474, 2023 | 26 | 2023 |
| Uncertainty driven pooling network for microvessel segmentation in routine histology images MM Fraz, M Shaban, S Graham, SA Khurram, NM Rajpoot Computational Pathology and Ophthalmic Medical Image Analysis: First …, 2018 | 24 | 2018 |
Nasir M. RajpootTissue Image Analytics (TIA) Centre, University of WarwickVerified email at warwick.ac.uk
