Comparison of Deep Transfer Learning Strategies for Digital Pathology. - Romain Mormont; Pierre Geurts; Raphaël Marée (CVPR Workshops, 2018)

BIAFLOWS: A Collaborative Framework to Reproducibly Deploy and Benchmark Bioimage Analysis Workflows. - Ulysse Rubens; Romain Mormont; Lassi Paavolainen; Volker Bäcker; Benjamin Pavie; Leandro A. Scholz; Gino Michiels; Martin Maska; Devrim Ünay; Graeme Ball; Renaud Hoyoux; Rémy Vandaele; et al. (Patterns, 2020)

Multi-Task Pre-Training of Deep Neural Networks for Digital Pathology. - Romain Mormont; Pierre Geurts; Raphaël Marée (IEEE J. Biomed. Health Informatics, 2021)

Relieving Pixel-Wise Labeling Effort for Pathology Image Segmentation with Self-training. - Romain Mormont; Mehdi Testouri; Raphaël Marée; Pierre Geurts (ECCV Workshops (7), 2022)

Addressing data scarcity with deep transfer learning and self-training in digital pathology. - Romain Mormont (2022)