Miika Toikkanen

According to our database, Miika Toikkanen authored at least 7 papers between 2021 and 2025.

Collaborative distances:

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

2025

Adaptive Metadata-Guided Supervised Contrastive Learning for Domain Adaptation on Respiratory Sound Classification.

June-Woo Kim, Miika Toikkanen, Amin Jalali, Minseok Kim, Hye-Ji Han, Hyunwoo Kim, Wonwoo Shin, Ho-Young Jung, Kyunghoon Kim

IEEE J. Biomed. Health Informatics, August, 2025

Improving Respiratory Sound Classification with Architecture-Agnostic Knowledge Distillation from Ensembles.

Miika Toikkanen, June-Woo Kim

CoRR, May, 2025

Tri-MTL: A Triple Multitask Learning Approach for Respiratory Disease Diagnosis.

June-Woo Kim, Sanghoon Lee, Miika Toikkanen, Daehwan Hwang, Kyunghoon Kim

CoRR, May, 2025

2024

BTS: Bridging Text and Sound Modalities for Metadata-Aided Respiratory Sound Classification.

June-Woo Kim, Miika Toikkanen, Yera Choi, Seoung-Eun Moon, Ho-Young Jung

Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024

RepAugment: Input-Agnostic Representation-Level Augmentation for Respiratory Sound Classification.

June-Woo Kim, Miika Toikkanen, Sangmin Bae, Minseok Kim, Ho-Young Jung

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

2023

Adversarial Fine-tuning using Generated Respiratory Sound to Address Class Imbalance.

June-Woo Kim, Chihyeon Yoon, Miika Toikkanen, Sangmin Bae, Ho-Young Jung

CoRR, 2023

2021

ReSGAN: Intracranial Hemorrhage Segmentation with Residuals of Synthetic Brain CT Scans.

Miika Toikkanen, Doyoung Kwon, Minho Lee

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021