Jaakko Sahlsten
Postdoctoral Researcher
Postdoctoral Researcher
T313 Dept. Computer Science
Contact information
Email
[email protected]
Publications
Applicability and Robustness of Deep Learning in Healthcare
Jaakko Sahlsten
2024
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
Cervical Vertebrae Skeletal Muscle Auto Segmentation for Sarcopenia Analysis Using Pre-Therapy CT in Head and Neck Cancer Patients
M. Naser, K. A. Wahid, A. Grossberg, B. Olson, R. Jain, Dina El-Habashy, C. Dede, V. Salama, M. Abobakr, A.S. Mohamed, R. He, J. Jaskari, J. Sahlsten, K. Kaski, C.D. Fuller
2022
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
Deep learning auto-segmentation of cervical skeletal muscle for sarcopenia analysis in patients with head and neck cancer
Mohamed A. Naser, Kareem A. Wahid, Aaron J. Grossberg, Brennan Olson, Rishab Jain, Dina El-Habashy, Cem Dede, Vivian Salama, Moamen Abobakr, Abdallah S.R. Mohamed, Renjie He, Joel Jaskari, Jaakko Sahlsten, Kimmo Kaski, Clifton D. Fuller
2022
FRONTIERS IN ONCOLOGY
Auto-detection and segmentation of involved lymph nodes in HPV-associated oropharyngeal cancer using a convolutional deep learning neural network
Nicolette Taku, Kareem A. Wahid, Lisanne V. van Dijk, Jaakko Sahlsten, Joel Jaskari, Kimmo Kaski, Clifton D. Fuller, Mohamed A. Naser
2022
Clinical and Translational Radiation Oncology