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)

Deep Fast Vision: A Python Library for Accelerated Deep Transfer Learning Vision Prototyping. - Fabi Prezja (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)

Machine Learning Predicts Upper Secondary Education Dropout as Early as the End of Primary School. - Maria Psyridou; Fabi Prezja; Minna Torppa; Marja-Kristiina Lerkkanen; Anna-Maija Poikkeus; Kati Vasalampi (CoRR, 2024)

Deep Fast Machine Learning Utils: A Python Library for Streamlined Machine Learning Prototyping. - Fabi Prezja (CoRR, 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)