Quantitative Volumetric K-Means Cluster Segmentation of Fibroglandular Tissue and Skin in Breast MRI. - Anton Niukkanen; Otso Arponen; Aki Nykänen; Amro Masarwah; Anna Sutela; Timo Liimatainen; Ritva Vanninen; Mazen Sudah (J. Digit. Imaging, 2018)

Selecting the Mammographic-View for the Parenchymal Analysis-Based Breast Cancer Risk Assessment. - Oscar Araque; María P. Mejía-Sandoval; Antti Sassi; Kirsi Holli-Helenius; Anna-Leena Lääperi; Irina Rinta-Kiikka; Otso Arponen; Said Pertuz (BHI, 2019)

Do Mammographic Systems Affect the Performance of Computerized Parenchymal Analysis? - Said Pertuz; Antti Sassi; Otso Arponen; Kirsi Holli-Helenius; Anna-Leena Lääperi; Irina Rinta-Kiikka (EMBC, 2019)

Morphological Area Gradient: System-independent Dense Tissue Segmentation in Mammography Images. - German F. Torres; Antti Sassi; Otso Arponen; Kirsi Holli-Helenius; Anna-Leena Lääperi; Irina Rinta-Kiikka; Joni-Kristian Kämäräinen; Said Pertuz (EMBC, 2019)

A Comparison of Regions of Interest in Parenchymal Analysis for Breast Cancer Risk Assessment. - Gerson Africano; Otso Arponen; Antti Sassi; Mirva Karivaara-Mäkelä; Kirsi Holli-Helenius; Irina Rinta-Kiikka; Anna-Leena Lääperi; Said Pertuz (EMBC, 2020)

A New Benchmark and Method for the Evaluation of Chest Wall Detection in Digital Mammography*. - Gerson Africano; Otso Arponen; Antti Sassi; Irina Rinta-Kiikka; Anna-Leena Lääperi; Said Pertuz (EMBC, 2020)

The future of computing paradigms for medical and emergency applications. - Daria Alekseeva; Aleksandr Ometov; Otso Arponen; Elena Simona Lohan (Comput. Sci. Rev., 2022)

Stress DeTech-tion: Revolutionizing Wellbeing in Future Networks. - Hsiao-Chun Lin; Aleksandr Ometov; Otso Arponen; Kaarina Nikunen; Jari Nurmi (GoodIT, 2024)

A Deep-Learning-Based Lable-free No-Reference Image Quality Assessment Metric: Application in Sodium MRI Denoising. - Shuaiyu Yuan; Tristan Whitmarsh; Dimitri A. Kessler; Otso Arponen; Mary A McLean; Gabrielle Baxter; Frank Riemer; Aneurin J. Kennerley; William J. Brackenbury; Fiona J. Gilbert; Joshua D. Kaggie (CoRR, 2024)

Rician Denoising Diffusion Probabilistic Models For Sodium Breast MRI Enhancement. - Shuaiyu Yuan; Tristan Whitmarsh; Dimitri A. Kessler; Otso Arponen; Mary A McLean; Gabrielle Baxter; Frank Riemer; Aneurin J. Kennerley; William J. Brackenbury; Fiona J. Gilbert; Joshua D. Kaggie (CoRR, 2024)

Enhancing Extended Reality Assisted Surgery through a Field-of-View Video Delivery Optimization. - Daria Alekseeva; Anzhelika Mezina; Radim Burget; Otso Arponen; Elena Simona Lohan; Aleksandr Ometov (Comput. Networks, 2025)

Stress and Emotion Open Access Data: A Review on Datasets, Modalities, Methods, Challenges, and Future Research Perspectives. - Aleksandr Ometov; Anzhelika Mezina; Hsiao-Chun Lin; Otso Arponen; Radim Burget; Jari Nurmi (J. Heal. Informatics Res., 2025)