| 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 | 216 | 2019 |
| 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 | 154 | 2020 |
| Machine learning methods for neonatal mortality and morbidity classification J Jaskari, J Myllärinen, M Leskinen, AB Rad, J Hollmen, S Andersson, ... Ieee Access 8, 123347-123358, 2020 | 56 | 2020 |
| 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 | 35 | 2022 |
| 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 | 21 | 2022 |
| 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 | 20 | 2022 |
| 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 | 18 | 2023 |
| 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 | 13 | 2022 |
| 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), 1-11, 2022 | 9 | 2022 |
| 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 | 8 | 2022 |
| 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 | 8 | 2021 |
| 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, 100526, 2023 | 7 | 2023 |
| 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 | 7 | 2023 |
| A novel variational autoencoder with applications to generative modelling, classification, and ordinal regression J Jaskari, JJ Kivinen arXiv preprint arXiv:1812.07352, 2018 | 6 | 2018 |
| 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 | 4 | 2024 |
| 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 | 4 | 2023 |
| 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 | 3 | 2023 |
| 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, 2023 | 3 | 2023 |
| Segmentation stability of human head and neck medical images for radiotherapy applications under de-identification conditions: benchmarking for data sharing and artificial … J Sahlsten, KA Wahid, E Glerean, J Jaskari, MA Naser, R He, CD Fuller, ... medRxiv, 2022.01. 22.22269695, 2022 | 3 | 2022 |
| Multi-specialty expert physician identification of Extranodal extension in computed tomography scans of oropharyngeal cancer patients: prospective blinded human inter-observer … O Sahin, KA Wahid, N Taku, R He, MA Naser, ASR Mohamed, A Mäkitie, ... | 2 | 2023 |
