| A multi-organ nucleus segmentation challenge N Kumar, R Verma, D Anand, Y Zhou, OF Onder, E Tsougenis, H Chen, ... IEEE transactions on medical imaging 39 (5), 1380-1391, 2019 | 418 | 2019 |
| Pannuke dataset extension, insights and baselines J Gamper, NA Koohbanani, K Benes, S Graham, M Jahanifar, ... arXiv preprint arXiv:2003.10778, 2020 | 190 | 2020 |
| NuClick: A deep learning framework for interactive segmentation of microscopic images NA Koohbanani, M Jahanifar, NZ Tajadin, N Rajpoot Medical Image Analysis 65, 101771, 2020 | 135 | 2020 |
| Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classification S Graham, M Jahanifar, A Azam, M Nimir, YW Tsang, K Dodd, E Hero, ... Proceedings of the IEEE/CVF International Conference on Computer Vision, 684-693, 2021 | 129 | 2021 |
| Mitosis domain generalization in histopathology images—The MIDOG challenge M Aubreville, N Stathonikos, CA Bertram, R Klopfleisch, N Ter Hoeve, ... Medical Image Analysis 84, 102699, 2023 | 93 | 2023 |
| Supervised saliency map driven segmentation of lesions in dermoscopic images M Jahanifar, NZ Tajeddin, BM Asl, A Gooya IEEE journal of biomedical and health informatics 23 (2), 509-518, 2018 | 83 | 2018 |
| CoNIC: Colon Nuclei Identification and Counting Challenge 2022 S Graham, M Jahanifar, QD Vu, G Hadjigeorghiou, T Leech, D Snead, ... arXiv preprint arXiv:2111.14485, 2021 | 67 | 2021 |
| One model is all you need: multi-task learning enables simultaneous histology image segmentation and classification S Graham, QD Vu, M Jahanifar, SEA Raza, F Minhas, D Snead, N Rajpoot Medical Image Analysis 83, 102685, 2023 | 63 | 2023 |
| TIAToolbox as an end-to-end library for advanced tissue image analytics J Pocock, S Graham, QD Vu, M Jahanifar, S Deshpande, ... Communications medicine 2 (1), 120, 2022 | 51 | 2022 |
| Segmentation of skin lesions and their attributes using multi-scale convolutional neural networks and domain specific augmentations M Jahanifar, NZ Tajeddin, NA Koohbanani, A Gooya, N Rajpoot arXiv preprint arXiv:1809.10243, 2018 | 51* | 2018 |
| Nuclear instance segmentation using a proposal-free spatially aware deep learning framework N Alemi Koohbanani, M Jahanifar, A Gooya, N Rajpoot Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 43 | 2019 |
| Semantic annotation for computational pathology: Multidisciplinary experience and best practice recommendations N Wahab, IM Miligy, K Dodd, H Sahota, M Toss, W Lu, M Jahanifar, ... The Journal of Pathology: Clinical Research 8 (2), 116-128, 2022 | 41 | 2022 |
| Nuclei detection using mixture density networks NA Koohababni, M Jahanifar, A Gooya, N Rajpoot Machine Learning in Medical Imaging: 9th International Workshop, MLMI 2018 …, 2018 | 32 | 2018 |
| Segmentation of skin lesions and their attributes using multi-scale convolutional neural networks and domain specific augmentations M Jahanifar, NZ Tajeddin, NA Koohbanani, A Gooya, N Rajpoot arXiv preprint arXiv:1809.10243, 2018 | 31 | 2018 |
| Simultaneous Nuclear Instance and Layer Segmentation in Oral Epithelial Dysplasia AJ Shephard, S Graham, S Bashir, M Jahanifar, H Mahmood, A Khurram, ... Proceedings of the IEEE/CVF International Conference on Computer Vision, 552-561, 2021 | 26 | 2021 |
| Stain-robust mitotic figure detection for the mitosis domain generalization challenge M Jahanifar, A Shepard, N Zamanitajeddin, RMS Bashir, M Bilal, ... International Conference on Medical Image Computing and Computer-Assisted …, 2021 | 25 | 2021 |
| Robust Interactive Semantic Segmentation of Pathology Images with Minimal User Input M Jahanifar, NZ Tajeddin, NA Koohbanani, NM Rajpoot Proceedings of the IEEE/CVF International Conference on Computer Vision, 674-683, 2021 | 24 | 2021 |
| Why is the winner the best? M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, S Ali, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 18 | 2023 |
| CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting S Graham, QD Vu, M Jahanifar, M Weigert, U Schmidt, W Zhang, J Zhang, ... Medical image analysis 92, 103047, 2024 | 16 | 2024 |
| IMPaSh: A Novel Domain-Shift Resistant Representation for Colorectal Cancer Tissue Classification TTL Vuong, QD Vu, M Jahanifar, S Graham, JT Kwak, N Rajpoot Computer Vision–ECCV 2022 Workshops: Tel Aviv, Israel, October 23–27, 2022 …, 2023 | 16 | 2023 |
Nasir M. RajpootTissue Image Analytics (TIA) Centre, University of Warwick在 warwick.ac.uk 的电子邮件经过验证
