Systematisation of Systems Solving Physics Boundary Value Problems. - Tuomo Rossi; Jukka Räbinä; Sanna Mönkölä; Sampsa Kiiskinen; Jonni Lohi; Lauri Kettunen (ENUMATH, 2019)

Reflectance Measurement Method Based on Sensor Fusion of Frame-Based Hyperspectral Imager and Time-of-Flight Depth Camera. - Samuli Rahkonen; Leevi Lind; Anna-Maria Raita-Hakola; Sampsa Kiiskinen; Ilkka Pölönen (Sensors, 2022)

Improving Performance in Colorectal Cancer Histology Decomposition using Deep and Ensemble Machine Learning. - Fabi Prezja; Leevi Annala; Sampsa Kiiskinen; Suvi Lahtinen; Timo Ojala; Pekka Ruusuvuori; Teijo Kuopio (CoRR, 2023)

Synthesizing Bidirectional Temporal States of Knee Osteoarthritis Radiographs with Cycle-Consistent Generative Adversarial Neural Networks. - Fabi Prezja; Leevi Annala; Sampsa Kiiskinen; Suvi Lahtinen; Timo Ojala (CoRR, 2023)

Adaptive Variance Thresholding: A Novel Approach to Improve Existing Deep Transfer Vision Models and Advance Automatic Knee-Joint Osteoarthritis Classification. - Fabi Prezja; Leevi Annala; Sampsa Kiiskinen; Suvi Lahtinen; Timo Ojala (CoRR, 2023)

Exploring the Efficacy of Base Data Augmentation Methods in Deep Learning-Based Radiograph Classification of Knee Joint Osteoarthritis. - Fabi Prezja; Leevi Annala; Sampsa Kiiskinen; Timo Ojala (Algorithms, 2024)

Generating synthetic past and future states of Knee Osteoarthritis radiographs using Cycle-Consistent Generative Adversarial Neural Networks. - Fabi Prezja; Leevi Annala; Sampsa Kiiskinen; Suvi Lahtinen; Timo Ojala; Paavo Nieminen (Comput. Biol. Medicine, 2025)