Joel Jaskari

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 7

Top Topics

Ordinal Regression

Top Venues

Publications

Jorma Järnstedt, Jaakko Sahlsten, Joel Jaskari, Kimmo Kaski, Helena Mehtonen, Ari Hietanen, Osku Sundqvist, Vesa Varjonen, Vesa Mattila, Sangsom Prapayasotok, Sakarat Nalampang
Reproducibility analysis of automated deep learning based localisation of mandibular canals on a temporal CBCT dataset. CoRR (2023)
Joel Jaskari, Jaakko Sahlsten, Theodoros Damoulas, Jeremias Knoblauch, Simo Särkkä, Leo Kärkkäinen, Kustaa Hietala, Kimmo Kaski
Uncertainty-aware deep learning methods for robust diabetic retinopathy classification. CoRR (2022)
Jorma Järnstedt, Jaakko Sahlsten, Joel Jaskari, Kimmo Kaski, Helena Mehtonen, Ziyuan Lin, Ari Hietanen, Osku Sundqvist, Vesa Varjonen, Vesa Mattila, Sangsom Prapayasotok, Sakarat Nalampang
Comparison of Deep Learning Segmentation and Multigrader-annotated Mandibular Canals of Multicenter CBCT scans. CoRR (2022)
Joel Jaskari, Jaakko Sahlsten, Theodoros Damoulas, Jeremias Knoblauch, Simo Särkkä, Leo Kärkkäinen, Kustaa Hietala, Kimmo K. Kaski
Uncertainty-Aware Deep Learning Methods for Robust Diabetic Retinopathy Classification. IEEE Access 10 (2022)
Joel Jaskari, Janne Myllärinen, Markus Leskinen, Ali Bahrami Rad, Jaakko Hollmén, Sture Andersson, Simo Särkkä
Machine Learning Methods for Neonatal Mortality and Morbidity Classification. IEEE Access 8 (2020)
Jaakko Sahlsten, Joel Jaskari, Jyri J. Kivinen, Lauri Turunen, Esa Jaanio, Kustaa Hietala, Kimmo Kaski
Deep Learning Fundus Image Analysis for Diabetic Retinopathy and Macular Edema Grading. CoRR (2019)
Joel Jaskari, Jyri J. Kivinen
A Novel Variational Autoencoder with Applications to Generative Modelling, Classification, and Ordinal Regression. CoRR (2018)