Otso Arponen

According to our database, Otso Arponen authored at least 10 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

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

Stress DeTech-tion: Revolutionizing Wellbeing in Future Networks.

Hsiao-Chun Lin, Aleksandr Ometov, Otso Arponen, Kaarina Nikunen, Jari Nurmi

Proceedings of the 2024 International Conference on Information Technology for Social Good, 2024

2022

The future of computing paradigms for medical and emergency applications.

Daria Alekseeva, Aleksandr Ometov, Otso Arponen, Elena Simona Lohan

Comput. Sci. Rev., 2022

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

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

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

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

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

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 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

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

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

Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

2018

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