Jaakko Sahlsten
Postdoctoral Researcher
Postdoctoral Researcher
T313 Dept. Computer Science
Sähköposti
[email protected]
Julkaisut
DR-GPT : A large language model for medical report analysis of diabetic retinopathy patients
Joel Jaskari, Jaakko Sahlsten, Paula Summanen, Jukka Moilanen, Erika Lehtola, Marjo Aho, Elina Säpyskä, Kustaa Hietala, Kimmo Kaski
2024
PloS one
Applicability and Robustness of Deep Learning in Healthcare
Jaakko Sahlsten
2024
Application of simultaneous uncertainty quantification and segmentation for oropharyngeal cancer use-case with Bayesian deep learning
Jaakko Sahlsten, Joel Jaskari, Kareem A. Wahid, Sara Ahmed, Enrico Glerean, Renjie He, Benjamin H. Kann, Antti Mäkitie, Clifton D. Fuller, Mohamed A. Naser, Kimmo Kaski
2024
Communications Medicine
Deep learning for 3D cephalometric landmarking with heterogeneous multi-center CBCT dataset
Jaakko Sahlsten, Jorma Järnstedt, Joel Jaskari, Hanna Naukkarinen, Phattaranant Mahasantipiya, Arnon Charuakkra, Krista Vasankari, Ari Hietanen, Osku Sundqvist, Antti Lehtinen, Kimmo Kaski
2024
PloS one
Harnessing uncertainty in radiotherapy auto-segmentation quality assurance
Kareem A. Wahid, Jaakko Sahlsten, Joel Jaskari, Michael J. Dohopolski, Kimmo Kaski, Renjie He, Enrico Glerean, Benjamin H. Kann, Antti Mäkitie, Clifton D. Fuller, Mohamed A. Naser, David Fuentes
2024
Physics and Imaging in Radiation Oncology
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 Prapayasatok, Sakarat Nalampang
2023
Scientific Reports
Segmentation stability of human head and neck cancer medical images for radiotherapy applications under de-identification conditions: Benchmarking data sharing and artificial intelligence use-cases
Jaakko Sahlsten, Kareem A. Wahid, Enrico Glerean, Joel Jaskari, Mohamed A. Naser, Renjie He, Benjamin H. Kann, Antti Mäkitie, Clifton D. Fuller, Kimmo Kaski
2023
Frontiers in Oncology
Development and Validation of an Automated Image-Based Deep Learning Platform for Sarcopenia Assessment in Head and Neck Cancer
Zezhong Ye, Anurag Saraf, Yashwanth Ravipati, Frank Hoebers, Paul J. Catalano, Yining Zha, Anna Zapaishchykova, Jirapat Likitlersuang, Christian Guthier, Roy B. Tishler, Jonathan D. Schoenfeld, Danielle N. Margalit, Robert I. Haddad, Raymond H. Mak, Mohamed Naser, Kareem A. Wahid, Jaakko Sahlsten, Joel Jaskari, Kimmo Kaski, Antti A. Mäkitie, Clifton D. Fuller, Hugo J.W.L. Aerts, Benjamin H. Kann
2023
Jama Network Open
Uncertainty-Aware Deep Learning Methods for Robust Diabetic Retinopathy Classification
Joel Jaskari, Jaakko Sahlsten, Theodoros Damoulas, Jeremias Knoblauch, Simo Sarkka, Leo Karkkainen, Kustaa Hietala, Kimmo K. Kaski
2022
IEEE Access
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
2022
Scientific Reports