Jaakko Sahlsten

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

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