MILD-Net: Minimal information loss dilated network for gland instance segmentation in colon histology images S Graham, H Chen, J Gamper, Q Dou, PA Heng, D Snead, YW Tsang, ... Medical image analysis 52, 199-211, 2019 | 301 | 2019 |
Pannuke: an open pan-cancer histology dataset for nuclei instance segmentation and classification J Gamper, N Alemi Koohbanani, K Benet, A Khuram, N Rajpoot Digital Pathology: 15th European Congress, ECDP 2019, Warwick, UK, April 10 …, 2019 | 201 | 2019 |
Pannuke dataset extension, insights and baselines J Gamper, NA Koohbanani, K Benes, S Graham, M Jahanifar, ... arXiv preprint arXiv:2003.10778, 2020 | 181* | 2020 |
Multiple instance captioning: Learning representations from histopathology textbooks and articles J Gamper, N Rajpoot Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 59 | 2021 |
Exoplanet validation with machine learning: 50 new validated Kepler planets DJ Armstrong, J Gamper, T Damoulas Monthly Notices of the Royal Astronomical Society 504 (4), 5327-5344, 2021 | 38 | 2021 |
PanNuke dataset extension, insights and baselines (2020) J Gamper, NA Koohbanani, K Benes, S Graham, M Jahanifar, ... Preprint at, 2003 | 10 | 2003 |
Meta-svdd: Probabilistic meta-learning for one-class classification in cancer histology images J Gamper, B Chan, YW Tsang, D Snead, N Rajpoot arXiv preprint arXiv:2003.03109, 2020 | 7 | 2020 |
European Congress on Digital Pathology J Gamper, NA Koohbanani, K Benes, A Khuram, N Rajpoot Springer, 2019 | 7 | 2019 |
AI ethics for systemic issues: A structural approach AS van der Loeff, I Bassi, S Kapila, J Gamper arXiv preprint arXiv:1911.03216, 2019 | 6 | 2019 |
Significance of hyperparameter optimization for metastasis detection in breast histology images NA Koohbanani, T Qaisar, M Shaban, J Gamper, N Rajpoot Computational Pathology and Ophthalmic Medical Image Analysis: First …, 2018 | 6 | 2018 |
Multi-task learning in histo-pathology for widely generalizable model J Gamper, NA Kooohbanani, N Rajpoot arXiv preprint arXiv:2005.08645, 2020 | 5 | 2020 |
Conditional denoising of remote sensing imagery using cycle-consistent deep generative models M Zotov, J Gamper arXiv preprint arXiv:1910.14567, 2019 | 4 | 2019 |
Predicting landsat reflectance with deep generative fusion S Bouabid, M Chernetskiy, M Rischard, J Gamper arXiv preprint arXiv:2011.04762, 2020 | 3 | 2020 |
Offline assessment of interference effects in a series of AB tests A Reklaitė, J Gamper Proceedings of the 26th International Conference on Evaluation and …, 2022 | 2 | 2022 |
Challenges and opportunities in applying Neural Temporal Point Processes to large scale industry data D Šeputis, J Gamper, R Paulavičius arXiv preprint arXiv:2208.08623, 2022 | 1 | 2022 |