Research output per year
Research output per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Master's degree, Engineering and Technology, Aalto University
Award Date: 26 Jun 2018
Bachelor's degree, Engineering and Technology, Aalto University
Award Date: 3 Oct 2016
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Dive into the research topics where Jaakko Sahlsten is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Development and Validation of an Automated Image-Based Deep Learning Platform for Sarcopenia Assessment in Head and Neck Cancer
Ye, Z., Saraf, A., Ravipati, Y., Hoebers, F., Catalano, P. J., Zha, Y., Zapaishchykova, A., Likitlersuang, J., Guthier, C., Tishler, R. B., Schoenfeld, J. D., Margalit, D. N., Haddad, R. I., Mak, R. H., Naser, M., Wahid, K. A., Sahlsten, J., Jaskari, J., Kaski, K., Mäkitie, A. A., & 3 others, 1 Aug 2023, In: Jama network open. 6, 8, p. e2328280Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile1 Citation (Scopus)2 Downloads (Pure) -
Reproducibility analysis of automated deep learning based localisation of mandibular canals on a temporal CBCT dataset
Järnstedt, J., Sahlsten, J., Jaskari, J., Kaski, K., Mehtonen, H., Hietanen, A., Sundqvist, O., Varjonen, V., Mattila, V., Prapayasatok, S. & Nalampang, S., Dec 2023, In: Scientific Reports. 13, 1, 14159.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile4 Downloads (Pure) -
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
Sahlsten, J., Wahid, K. A., Glerean, E., Jaskari, J., Naser, M. A., He, R., Kann, B. H., Mäkitie, A., Fuller, C. D. & Kaski, K., 2023, In: FRONTIERS IN ONCOLOGY. 13, p. 1-10 10 p., 1120392.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile1 Citation (Scopus)7 Downloads (Pure) -
Artificial Intelligence for Radiation Oncology Applications Using Public Datasets
Wahid, K. A., Glerean, E., Sahlsten, J., Jaskari, J., Kaski, K., Naser, M. A., He, R., Mohamed, A. S. R. & Fuller, C. D., Oct 2022, In: Seminars in Radiation Oncology. 32, 4, p. 400-414Research output: Contribution to journal › Review Article › peer-review
Open AccessFile2 Citations (Scopus)22 Downloads (Pure) -
Auto-detection and segmentation of involved lymph nodes in HPV-associated oropharyngeal cancer using a convolutional deep learning neural network
Taku, N., Wahid, K. A., van Dijk, L. V., Sahlsten, J., Jaskari, J., Kaski, K., Fuller, C. D. & Naser, M. A., Sept 2022, In: Clinical and Translational Radiation Oncology. 36, p. 47-55 9 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile6 Citations (Scopus)31 Downloads (Pure)
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XAIS/Lampinen: eXplainable AI Technologies for Segmenting 3D Imaging Data
Lampinen, J., Jaskari, J., Sahlsten, J. & Kaski, K.
01/01/2022 → 31/12/2024
Project: Academy of Finland: Other research funding
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Co-Adaptation - Yhteismukauttaminen
Oulasvirta, A., Leino, K., Sahlsten, J., Micallef, L., Drobotowicz, K. & Dayama, N.
01/01/2017 → 31/12/2018
Project: Academy of Finland: Other research funding