Significance of Hyperparameter Optimization for Metastasis Detection in Breast Histology Images. - Navid Alemi Koohbanani; Talha Qaiser; Muhammad Shaban; Jevgenij Gamper; Nasir M. Rajpoot (COMPAY/OMIA@MICCAI, 2018)

PanNuke: An Open Pan-Cancer Histology Dataset for Nuclei Instance Segmentation and Classification. - Jevgenij Gamper; Navid Alemi Koohbanani; Ksenija Benet; Ali Khuram; Nasir M. Rajpoot (ECDP, 2019)

Conditional Denoising of Remote Sensing Imagery Using Cycle-Consistent Deep Generative Models. - Michael Zotov; Jevgenij Gamper (CoRR, 2019)

AI Ethics for Systemic Issues: A Structural Approach. - Agnes Schim van der Loeff; Iggy Bassi; Sachin Kapila; Jevgenij Gamper (CoRR, 2019)

MILD-Net: Minimal information loss dilated network for gland instance segmentation in colon histology images. - Simon Graham; Hao Chen 011; Jevgenij Gamper; Qi Dou 001; Pheng-Ann Heng; David R. J. Snead; Yee-Wah Tsang; Nasir M. Rajpoot (Medical Image Anal., 2019)

Meta-SVDD: Probabilistic Meta-Learning for One-Class Classification in Cancer Histology Images. - Jevgenij Gamper; Brandon Chan; Yee-Wah Tsang; David R. J. Snead; Nasir M. Rajpoot (CoRR, 2020)

PanNuke Dataset Extension, Insights and Baselines. - Jevgenij Gamper; Navid Alemi Koohbanani; Simon Graham; Mostafa Jahanifar; Syed Ali Khurram; Ayesha Azam; Katherine Hewitt; Nasir M. Rajpoot (CoRR, 2020)

Multi-Task Learning in Histo-pathology for Widely Generalizable Model. - Jevgenij Gamper; Navid Alemi Koohbanani; Nasir M. Rajpoot (CoRR, 2020)

Exoplanet Validation with Machine Learning: 50 new validated Kepler planets. - David J. Armstrong; Jevgenij Gamper; Theodoros Damoulas (CoRR, 2020)

Predicting Landsat Reflectance with Deep Generative Fusion. - Shahine Bouabid; Maxim Chernetskiy; Maxime Rischard; Jevgenij Gamper (CoRR, 2020)

Multiple Instance Captioning: Learning Representations From Histopathology Textbooks and Articles. - Jevgenij Gamper; Nasir M. Rajpoot (CVPR, 2021)

Offline assessment of interference effects in a series of AB tests. - Agne Reklaite; Jevgenij Gamper (EASE, 2022)

Challenges and opportunities in applying Neural Temporal Point Processes to large scale industry data. - Dominykas Seputis; Jevgenij Gamper; Remigijus Paulavicius (CoRR, 2022)

Towards Measuring Sell Side Outcomes in Buy Side Marketplace Experiments using In-Experiment Bipartite Graph. - Vaiva Pilkauskaite; Jevgenij Gamper; Rasa Giniunaite; Agne Reklaite (CoRR, 2024)