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Jaakko Sahlsten
Jaakko Sahlsten
PhD student, Aalto University
Dirección de correo verificada de aalto.fi
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Deep learning fundus image analysis for diabetic retinopathy and macular edema grading
J Sahlsten, J Jaskari, J Kivinen, L Turunen, E Jaanio, K Hietala, K Kaski
Scientific reports 9 (1), 10750, 2019
1942019
Deep learning method for mandibular canal segmentation in dental cone beam computed tomography volumes
J Jaskari, J Sahlsten, J Järnstedt, H Mehtonen, K Karhu, O Sundqvist, ...
Scientific reports 10 (1), 5842, 2020
1162020
Uncertainty-aware deep learning methods for robust diabetic retinopathy classification
J Jaskari, J Sahlsten, T Damoulas, J Knoblauch, S Särkkä, L Kärkkäinen, ...
IEEE Access 10, 76669-76681, 2022
262022
Artificial intelligence for radiation oncology applications using public datasets
KA Wahid, E Glerean, J Sahlsten, J Jaskari, K Kaski, MA Naser, R He, ...
Seminars in radiation oncology 32 (4), 400-414, 2022
162022
Auto-detection and segmentation of involved lymph nodes in HPV-associated oropharyngeal cancer using a convolutional deep learning neural network
N Taku, KA Wahid, LV van Dijk, J Sahlsten, J Jaskari, K Kaski, CD Fuller, ...
Clinical and Translational Radiation Oncology 36, 47-55, 2022
152022
Development and validation of an automated image-based deep learning platform for sarcopenia assessment in head and neck cancer
Z Ye, A Saraf, Y Ravipati, F Hoebers, PJ Catalano, Y Zha, ...
Jama network open 6 (8), e2328280-e2328280, 2023
102023
Comparison of deep learning segmentation and multigrader-annotated mandibular canals of multicenter CBCT scans
J Järnstedt, J Sahlsten, J Jaskari, K Kaski, H Mehtonen, Z Lin, A Hietanen, ...
Scientific Reports 12 (1), 18598, 2022
92022
Deep learning auto-segmentation of cervical skeletal muscle for sarcopenia analysis in patients with head and neck cancer
MA Naser, KA Wahid, AJ Grossberg, B Olson, R Jain, D El-Habashy, ...
Frontiers in Oncology 12, 930432, 2022
92022
Deep learning auto-segmentation of cervical neck skeletal muscle for sarcopenia analysis using pre-therapy CT in patients with head and neck cancer
MA Naser, KA Wahid, AJ Grossberg, B Olson, R Jain, D El-Habashy, ...
medRxiv, 2021.12. 19.21268063, 2021
82021
Deep learning method for mandibular canal segmentation in dental cone beam computed tomography volumes. Sci Rep 10: 5842
J Jaskari, J Sahlsten, J Järnstedt, H Mehtonen, K Karhu, O Sundqvist, ...
62020
Application of simultaneous uncertainty quantification for image segmentation with probabilistic deep learning: Performance benchmarking of oropharyngeal cancer target …
J Sahlsten, J Jaskari, KA Wahid, S Ahmed, E Glerean, R He, BH Kann, ...
medRxiv, 2023
52023
Muscle and adipose tissue segmentations at the third cervical vertebral level in patients with head and neck cancer
KA Wahid, B Olson, R Jain, AJ Grossberg, D El-Habashy, C Dede, ...
Scientific Data 9 (1), 470, 2022
52022
Harnessing uncertainty in radiotherapy auto-segmentation quality assurance
KA Wahid, J Sahlsten, J Jaskari, MJ Dohopolski, K Kaski, R He, E Glerean, ...
Physics and Imaging in Radiation Oncology 29, 2024
42024
Reproducibility analysis of automated deep learning based localisation of mandibular canals on a temporal CBCT dataset
J Järnstedt, J Sahlsten, J Jaskari, K Kaski, H Mehtonen, A Hietanen, ...
Scientific Reports 13 (1), 14159, 2023
22023
Fully-automated sarcopenia assessment in head and neck cancer: development and external validation of a deep learning pipeline
Z Ye, A Saraf, Y Ravipati, F Hoebers, Y Zha, A Zapaishchykova, ...
medRxiv, 2023
22023
Segmentation stability of human head and neck cancer medical images for radiotherapy applications under de-identification conditions: Benchmarking data sharing and artificial …
J Sahlsten, KA Wahid, E Glerean, J Jaskari, MA Naser, R He, BH Kann, ...
Frontiers in oncology 13, 1120392, 2023
22023
Multi-specialty expert physician identification of Extranodal extension in computed tomography scans of oropharyngeal cancer patients: prospective blinded human inter-observer …
OPC Multidisciplinary
medRxiv, 2023
22023
Muscle and Adipose Tissue Segmentations at the C3 Vertebral Level for Sarcopenia-Related Clinical Decision-Making in Patients with Head and Neck Cancer
KA Wahid, B Olson, R Jain, AJ Grossberg, D El-Habashy, C Dede, ...
medRxiv, 2022.01. 23.22269674, 2022
12022
Application of simultaneous uncertainty quantification and segmentation for oropharyngeal cancer use-case with Bayesian deep learning
J Sahlsten, J Jaskari, KA Wahid, S Ahmed, E Glerean, R He, BH Kann, ...
Communications Medicine 4 (1), 110, 2024
2024
Applicability and Robustness of Deep Learning in Healthcare
J Sahlsten
Aalto University, 2024
2024
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Artículos 1–20