Jaakko Sahlsten

According to our database, Jaakko Sahlsten authored at least 6 papers between 2019 and 2024.

Collaborative distances:

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

2024

Applicability and Robustness of Deep Learning in Healthcare ; Syväoppimisen soveltuvuus ja robustisuus terveydenhuollossa.

Jaakko Sahlsten

PhD thesis, 2024

Interactive 3D Segmentation for Primary Gross Tumor Volume in Oropharyngeal Cancer.

Mikko Saukkoriipi, Jaakko Sahlsten, Joel Jaskari, Lotta Orasmaa, Jari Kangas, Nastaran Rasouli, Roope Raisamo, Jussi Hirvonen, Helena Mehtonen, Jorma Järnstedt, Antti A. Mäkitie, Mohamed Naser, Clifton Fuller, Benjamin Kann, Kimmo Kaski

CoRR, 2024

2023

Reproducibility analysis of automated deep learning based localisation of mandibular canals on a temporal CBCT dataset.

Jorma Järnstedt, Jaakko Sahlsten, Joel Jaskari, Kimmo Kaski, Helena Mehtonen, Ari Hietanen, Osku Sundqvist, Vesa Varjonen, Vesa Mattila, Sangsom Prapayasotok, Sakarat Nalampang

CoRR, 2023

2022

Comparison of Deep Learning Segmentation and Multigrader-annotated Mandibular Canals of Multicenter CBCT scans.

Jorma Järnstedt, Jaakko Sahlsten, Joel Jaskari, Kimmo Kaski, Helena Mehtonen, Ziyuan Lin, Ari Hietanen, Osku Sundqvist, Vesa Varjonen, Vesa Mattila, Sangsom Prapayasotok, Sakarat Nalampang

CoRR, 2022

Uncertainty-Aware Deep Learning Methods for Robust Diabetic Retinopathy Classification.

Joel Jaskari, Jaakko Sahlsten, Theodoros Damoulas, Jeremias Knoblauch, Simo Särkkä, Leo Kärkkäinen, Kustaa Hietala, Kimmo K. Kaski

IEEE Access, 2022

2019

Deep Learning Fundus Image Analysis for Diabetic Retinopathy and Macular Edema Grading.

Jaakko Sahlsten, Joel Jaskari, Jyri J. Kivinen, Lauri Turunen, Esa Jaanio, Kustaa Hietala, Kimmo Kaski

CoRR, 2019