Joel Jaskari - RankMe

12 papers Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Interactive AI annotation of medical images in a virtual reality environment. Int. J. Comput. Assist. Radiol. Surg. Lotta Orsmaa, Mikko Saukkoriipi, Jari Kangas, Nastaran Rasouli, Jorma Järnstedt, Helena Mehtonen, Jaakko Sahlsten, Joel Jaskari, Kimmo Kaski, Roope Raisamo
2025	J	`jnl`	Diving, Grabbing and Teleporting: Methods for Medical 3D Image Manipulation in VR. Interact. Comput. Lotta Orsmaa, Jari Kangas, Nastaran Rasouli, Joel Jaskari, Jaakko Sahlsten, Helena Mehtonen, Jorma Järnstedt, Kimmo Kaski, Roope Raisamo
2025	J	`jnl`	Temporal social network modeling of mobile connectivity data with graph neural networks. CoRR Joel Jaskari, Chandreyee Roy, Fumiko Ogushi, Mikko Saukkoriipi, Jaakko Sahlsten, Kimmo Kaski
2024	—	`conf`	Head and Neck Tumor Segmentation Using Pre-RT MRI Scans and Cascaded DualUNet. HNTS-MRG@MICCAI Mikko Saukkoriipi, Jaakko Sahlsten, Joel Jaskari, Ahmed Al-Tahmeesschi, Laura Ruotsalainen, Kimmo Kaski
2024	J	`jnl`	Interactive 3D Segmentation for Primary Gross Tumor Volume in Oropharyngeal Cancer. CoRR Mikko Saukkoriipi, Jaakko Sahlsten, Joel Jaskari, Lotta Orsmaa, Jari Kangas, Nastaran Rasouli, Roope Raisamo, Jussi Hirvonen, Helena Mehtonen, Jorma Järnstedt, Antti A. Mäkitie, Mohamed Naser, Clifton Fuller, Benjamin Kann, Kimmo Kaski
2023	J	`jnl`	Reproducibility analysis of automated deep learning based localisation of mandibular canals on a temporal CBCT dataset. CoRR Jorma Järnstedt, Jaakko Sahlsten, Joel Jaskari, Kimmo Kaski, Helena Mehtonen, Ari Hietanen, Osku Sundqvist, Vesa Varjonen, Vesa Mattila, Sangsom Prapayasotok, Sakarat Nalampang
2022	J	`jnl`	Comparison of Deep Learning Segmentation and Multigrader-annotated Mandibular Canals of Multicenter CBCT scans. CoRR Jorma Järnstedt, Jaakko Sahlsten, Joel Jaskari, Kimmo Kaski, Helena Mehtonen, Ziyuan Lin, Ari Hietanen, Osku Sundqvist, Vesa Varjonen, Vesa Mattila, Sangsom Prapayasotok, Sakarat Nalampang
2022	J	`jnl`	Uncertainty-Aware Deep Learning Methods for Robust Diabetic Retinopathy Classification. IEEE Access Joel Jaskari, Jaakko Sahlsten, Theodoros Damoulas, Jeremias Knoblauch, Simo Särkkä, Leo Kärkkäinen, Kustaa Hietala, Kimmo K. Kaski
2022	J	`jnl`	Uncertainty-aware deep learning methods for robust diabetic retinopathy classification. CoRR Joel Jaskari, Jaakko Sahlsten, Theodoros Damoulas, Jeremias Knoblauch, Simo Särkkä, Leo Kärkkäinen, Kustaa Hietala, Kimmo Kaski
2020	J	`jnl`	Machine Learning Methods for Neonatal Mortality and Morbidity Classification. IEEE Access Joel Jaskari, Janne Myllärinen, Markus Leskinen, Ali Bahrami Rad, Jaakko Hollmén, Sture Andersson, Simo Särkkä
2019	J	`jnl`	Deep Learning Fundus Image Analysis for Diabetic Retinopathy and Macular Edema Grading. CoRR Jaakko Sahlsten, Joel Jaskari, Jyri J. Kivinen, Lauri Turunen, Esa Jaanio, Kustaa Hietala, Kimmo Kaski
2018	J	`jnl`	A Novel Variational Autoencoder with Applications to Generative Modelling, Classification, and Ordinal Regression. CoRR Joel Jaskari, Jyri J. Kivinen